Next Article in Journal
A Novel, Pan-PDE Inhibitor Exerts Anti-Fibrotic Effects in Human Lung Fibroblasts via Inhibition of TGF-β Signaling and Activation of cAMP/PKA Signaling
Next Article in Special Issue
RNA Binding Proteins as Drivers and Therapeutic Target Candidates in Pancreatic Ductal Adenocarcinoma
Previous Article in Journal
The Role of Histone Acetylation and the Microbiome in Phytochemical Efficacy for Cardiovascular Diseases
Previous Article in Special Issue
RNA-Binding Proteins in Pulmonary Hypertension
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

From the Argonauts Mythological Sailors to the Argonautes RNA-Silencing Navigators: Their Emerging Roles in Human-Cell Pathologies

by
Vasiliki I. Pantazopoulou
1,
Stella Georgiou
1,
Panos Kakoulidis
1,
Stavroula N. Giannakopoulou
1,2,
Sofia Tseleni
3,
Dimitrios J. Stravopodis
2 and
Ema Anastasiadou
1,*
1
Center of Basic Research, Biomedical Research Foundation of the Academy of Athens (BRFAA), 11527 Athens, Greece
2
Section of Cell Biology and Biophysics, Department of Biology, School of Science, National and Kapodistrian University of Athens (NKUA), 15701 Athens, Greece
3
Department of Pathology, Medical School, National and Kapodistrian University of Athens (NKUA), 11527 Athens, Greece
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2020, 21(11), 4007; https://doi.org/10.3390/ijms21114007
Submission received: 15 May 2020 / Revised: 1 June 2020 / Accepted: 1 June 2020 / Published: 3 June 2020
(This article belongs to the Special Issue RNA-Binding Proteins in Human Diseases—from Mechanisms to Therapies)

Abstract

:
Regulation of gene expression has emerged as a fundamental element of transcript homeostasis. Key effectors in this process are the Argonautes (AGOs), highly specialized RNA-binding proteins (RBPs) that form complexes, such as the RNA-Induced Silencing Complex (RISC). AGOs dictate post-transcriptional gene-silencing by directly loading small RNAs and repressing their mRNA targets through small RNA-sequence complementarity. The four human highly-conserved family-members (AGO1, AGO2, AGO3, and AGO4) demonstrate multi-faceted and versatile roles in transcriptome’s stability, plasticity, and functionality. The post-translational modifications of AGOs in critical amino acid residues, the nucleotide polymorphisms and mutations, and the deregulation of expression and interactions are tightly associated with aberrant activities, which are observed in a wide spectrum of pathologies. Through constantly accumulating information, the AGOs’ fundamental engagement in multiple human diseases has recently emerged. The present review examines new insights into AGO-driven pathology and AGO-deregulation patterns in a variety of diseases such as in viral infections and propagations, autoimmune diseases, cancers, metabolic deficiencies, neuronal disorders, and human infertility. Altogether, AGO seems to be a crucial contributor to pathogenesis and its targeting may serve as a novel and powerful therapeutic tool for the successful management of diverse human diseases in the clinic.

1. Introduction

Argonaute (AGO) proteins were initially discovered through their implication in plant development [1,2] and stem-cell division in flies [3]. During the last two decades, extensive research has been performed to identifying the AGO-dependent processes controlling cellular physiology. Their remarkable roles as essential components of the RNA-Induced Silencing Complex (RISC) were unraveled in mammals and other organisms. AGOs dictate post-transcriptional gene-silencing mechanism(s) by repressing the mRNA targets through small RNA-sequence complementarity with or without mRNA degradation [4].
AGO super-family members present strong evolutionary conservation, are ubiquitously expressed, and can be sub-divided into AGO, P-element-induced wimpy testis (PIWI), and SAGO sub-families [5]. The AGO subfamily includes four different proteins in humans: AGO1, AGO2, AGO3, and AGO4 with extremely high homology (exceeds the 80% value over the entire protein-length) among all members (Figure 1). They share the same signature domains N, MID, PAZ, and PIWI with PAZ and PIWI being identified in proteins implicated in RNAi-mediated processes [6,7,8]. Thereby, it seems that the molecular discrimination between members of the AGO subfamily represents a complicated and tangled issue difficult to be resolved. It has been previously suggested that subfamily-member functions can be overlapping and/or mutually compensatory when required [9,10,11]. Although, in humans, only AGO2 has proved to exert slicer-endonuclease and microRNA (miRNA) stabilization activities [12,13,14,15], which is a selective cleavage activity for AGO3 that has been recently discovered [16]. AGO3 has been engaged in mRNA decay via Alu-elements mediation directed by RNA [17]. AGO1 executes a more subsidiary role in gene silencing, whereas AGO4 seems to control the entry into meiosis and sex-chromosome silencing in the mouse germ line [18,19,20]. The leading canonical pathway of miRNA biogenesis, achieved by AGOs, commences with transcription of the pri-miRNAs, which are being processed into pre-miRNAs by the micro-processor complex, the DiGeorge Syndrome Critical Region 8 RNA binding protein (DGCR8), and Drosha, which is a ribonuclease III enzyme [21]. Then, Exportin 5 (XPO5)/RanGTP complex undertakes the export of pre-miRNAs to the cytoplasmic compartment, where they are cleaved by Dicer, which is an RNase III endonuclease [21,22]. This pace involves the withdrawal of the terminal loop, which, ultimately, leads to miRNA maturation [23]. Hereafter, the mature miRNAs are able to be loaded onto AGO complexes in an ATP-dependent manner [24]. The passenger strand is ultimately released while the preserved strand guides and leads to the advancement of gene expression regulation. The retained miRNA guide strand facilitates the transfer of AGO-miRNA complex to the 3′-UTR (untranslated region) of mRNA targets. A crucial aspect is the degree of sequence complementarity between the miRNA seed region (2–8 nucleotides from the 5′-end) and the mRNA target. The miRNA:mRNA matching ensues translational repression and destabilization, and/or degradation of the bona fide mRNA target sequences [25].
In recent years, besides the canonical pathway, a number of non-canonical biogenesis pathways have emerged [39,40]. In non-canonical biogenesis, the cleavage of microprocessor complexes is avoided, or alternative combinations of Exportin and/or miRISC loading complex proteins are employed [41,42].
The versatile functions of AGO can be tightly regulated by several post-translational modifications such as SUMOylation [43], acetylation [44], and ubiquitination [45,46]. Moreover, under cell stress, AGOs are modified by poly (ADP-ribose) in order to relieve miRNA-guided repression [47,48]. The phosphorylation state of a critical serine/threonine cluster is essential for AGO-miRNA interaction(s), which affect mRNA binding and localization. Especially, phosphorylated Ser387, Tyr393, and Tyr529 have proved important for miRNA-guided gene silencing in vivo [49,50]. Remarkably, mutation of Pro700 to Ala700 leads to AGO2 destabilization, which couples Pro700 hydroxylation of AGO2 with regulation of its stability. In an attempt to measure the efficiency of AGO hydroxylation in vitro, Qi and colleagues showed that AGO2 and AGO4 are more efficiently hydroxylated than AGO1 and AGO3 [51], which indicates differential activities and regulation patterns of AGO subfamily members.
Through the constantly accumulated information with regard to the modifications of AGOs and their subsequent functional alterations, their fundamental engagement in multiple human pathologies has recently emerged. Given the existing and extensive literature describing the miRNA profiles of specific diseases, this study will entirely focus on analyzing the pathogenic effect(s) of AGO alterations specifically, in terms of their expression, polymorphisms, modifications, and interactions. This review aims to uncover the consequence of AGO deregulation(s), as causal effectors, in viral infections, autoimmune diseases, tumorigenesis, progression, metabolic deficiencies, mental disorders, neuronal diseases, and infertility.

2. AGOs in Human Diseases

2.1. AGOs in Viral Infections

The precise role of RISC/miRNA machinery in the host-pathogen interactions is still unclear. In this section, we discuss recent findings that highlight the importance of AGO in viral infections, and their impact on viral replication and immune response. Comprehensive understanding of AGO biology will aid the illumination of molecular mechanisms underlying human viral infections and the reinforcement of prompt development for successful miRNA-based therapies.
Viral miRNAs were initially reported to be expressed by the human γ-Herpes Virus Epstein-Barr Virus (EBV) [52], which was followed by the subfamily members of Herpes Viruses, including the Marek’s Disease Virus (MDV) [53], the (α-Herpes Viruses) Herpes Simplex Virus 1 (HSV-1) [54], the HSV-2 [55], and the (β-Herpes Virus) human CytoMegaloVirus (hCMV) [56]. miRNA expression changes were also observed in members of a variety of DNA-virus families, such as the PolyomaVirus, but were absent from other DNA-virus families, such as the papilloma viruses, pox viruses [57], and retro viruses [52]. These miRNAs may hold strong potential in RNA-silencing activities in viruses and/or host-virus interactions. Ιn mammals, the viral infection and spreading are affected by innate-immune responses related to Interferon (IFN)-induced signaling pathway(s) [58,59,60,61,62,63]. Given that a double-strand RNA (dsRNA) sequence longer than 30 bp can efficiently trigger IFN-dependent pathway(s) activation [61,64], it is reasonable to suggest that the naturally occurring mechanism of RNAi has been evolutionarily compromised or inactivated [65,66].
The mechanistic implication of small RNAs in viral infections was thoroughly investigated in invertebrates. In these organisms, the inhibition of viral replication is achieved by small-RNA production via the viral dsRNA template, which triggers viral-RNA degradation [67,68]. Responsible molecules for the precise function of the innate-immune system are the Pattern Recognition Receptors (PRRs) [69] that mediate the release and dispensation of inflammatory cytokines [70,71] by recognizing the virus-conserved pathogen-associated molecular patterns (PAMPs) [67,72]. A discrete family of PRRs is the dsRNA-specific dicer nucleases. The initiated trigger for dicer-mediated immunity against RNA and DNA viruses is related to specific PRRs. Dicer cleaves the viral-RNA trigger to generate virus-derived small RNAs (viRNAs), which provides antiviral defense through RNAi-silencing activation [73,74]. To counterbalance this host reaction, viruses produce intrinsic virulence factors called viral suppressors of RNA silencing (VSRs) [73]. These molecules presume upon host mechanisms to thrive in hostile micro-environments [75], which provides protection from Dicer cleavage and/or impeding viRNAs to be loaded onto AGO proteins [76,77,78]. RNAi-machinery components interact with VSRs, which suppresses the efficiency of viral-RNAs cleavage [79,80,81] and prohibits AGO from catalysis of the RNA-cleavage reaction [60] (Figure 2).
Remarkable interactions of RISC-complex components with viral nucleic acids have been previously reported across the heterogeneous virus families. In mammals infected by Hepatitis B Virus (HBV), miR-20a-loaded AGO2 translocation to the nucleus strongly suggests that the miRNA-directed Transcriptional Gene Silencing (TGS) mainly depends on this binding partnership. This leads to methylation of HBV DNA, which, next, causes suppression of HBV replication [85]. Upon HIV infection, strong reduction of viral production is observed in response to AGO inhibition [86]. In HCV infection, miR-122, an abundant miRNA species in liver cells, seems to facilitate viral replication without affecting mRNA translation or RNA stability [87].
A serious controversy has prevailed in the field concerning the antiviral-defense repertoire in mammals due to lack of a typical (canonical) mechanism that relies on the siRNA-dependent AGO-group functionality [88,89,90,91]. This is further reinforced by pioneer observations being related to the copy-number of miRNAs that is able to critically influence host-transcripts and/or viral-transcripts homeostasis [92]. Strikingly, previous seminal reports have shown that deficiencies of Dicer and AGO functions in pluripotent mouse Embryonic Stem Cells (mESCs) can be well tolerated [9,93]. In such settings, the RNAi response by a long-dsRNA trigger presents dominant action and constitutes a major layer of defense in the absence of the IFN response [94,95]. Deep-sequencing analysis unveiled the accumulation of a number of miRNA species in undifferentiated mouse cells being infected with encephalomyocarditis virus (EMCV) and nodamura virus (NoV) [60]. KLF4, Oct4, and Sox2, which are bona fide reprogramming factors that induce cell pluripotency, are presented to operate incompatibly with IRF7, which is a key regulator of IFN-mediated antiviral defense. Most likely, the rapid cell division of pluripotent stem cells may be functionally contradictory to IFN-associated responses controlling anti-proliferative activities [96].
The RNAi-response program is well-conserved across animal species and has not been replaced by the IFN system [95,97]. The identification of siRNAs, for many years, was ambiguous due to detection of potent RNAi suppressors and high IFN levels, especially in somatic differentiated cells. Restoration of the production of viral siRNAs was observed in murine somatic cells carrying 3A-deficient mutants of human EntEro-Virus 71 (HEV71), and demonstrating the role of the 3A protein as an RNAi suppressor [98]. Furthermore, loading of these siRNAs onto AGOs provokes the cognate viral-RNA genome’s degradation. Pharmacological blocking of the IFN response and utilization of mouse cells with lack of functional Type I IFN-receptor argue that the RNAi response does not represent an IFN-mediated effect.
In 2017, Wang and colleagues discovered that H5N1 viral infection prompts the reduction of AGO2 nuclear distribution in lung carcinoma cell line. AGO2 was shown to negatively regulate the Type I IFN-signaling pathway by competitive binding to IRF3 (a major effector of the IFN-β pathway) with the CBP/p300 transcriptional co-activator. Upon viral infection, the nuclear AGO2 content could be reduced, which provides inhibitory signals for AGO activity and stimulatory cues for IFN-β expression, and signaling. Thus, consequently, this promotes viral propagation [99]. This was not unforeseen since Dicer affects influenza virus replication in an siRNA/miRNA-independent manner [100]. The same cell line was used to examine the transcription levels of the RNAi-machinery components Drosha, DGCR8, and Dicer in the presence of Dengue virus (DENV). Knock-down of these genes caused increased viral replication rates [101].
A number of studies in recent years have reported the differential expression and function of miRNAs in airway cells [102,103], which significantly affects processes such as modulation of innate and adaptive immune responses [104] due to viral respiratory infections. Such viruses include the orthomyxovirus influenza and the severe acute respiratory syndrome Corona virus 2 (SARS-CoV2). Since the availability of effective vaccines and antiviral treatments against respiratory viral infections are limited [105,106], novel antiviral approaches are necessitated to be promptly developed. Promising results rise from experiments engaging the mouse hepatitis virus (MHV), which is a Corona virus that is closely related to the SARS-CoV2. In mammalian cells, the replication of MHV increased when the Nuclei capsid (N) protein was expressed suppressing RNAi triggered by either short-hairpin (sh) RNAs or small-interfering (si) RNAs. MHV replication was also enhanced by knocking-down the expression of Dicer and AGO2 [107]. These results provide evidence for new key contributors in the antiviral immunity responses, such as AGO, in mammalian cells.
A recent study by Jeffrey and colleagues [108] described the antiviral role of AGO4 in mammalian cells for the first time. They demonstrated that AGO4 has an IFN-boosting property and an antiviral RNAi activity. This function was shown to be independent of the other AGOs, IFN activity, and RISC loading. In their experiments, they reported that immune cells with AGO4 deficiency and AGO4 knockout mice were significantly more susceptible to viral infections. It remains to be determined whether this function is virus-specific and how AGO4 expression could be increased to control viral infections. Furthermore, studies of influenza-infected mice have unearthed that AGO4-deficient animals carry significantly higher viral loads. It is important to determine the spectrum of viral types whose infection capacities can be affected by AGO4-expression levels. Better understanding of how the immune system functions, and how AGOs are mechanistically implicated in its homeostasis, integrity, and plasticity will allow the generation of efficient and systemically safe defense treatments against a wide range of pathogenic viruses.

2.2. AGOs and Autoimmune Diseases

AGOs are critically implicated in several auto immune diseases (AIDs) such as auto immune thyroid diseases (AITDs), autoimmune encephalomyelitis (EAE), Crohn’s Disease (CD), idiopathic sudden sensorineural hearing loss (ISSNH) and rheumatic diseases (RDs). AGOs are genetically linked to AITDs, such as the Graves’ Disease (GD) and Hashimoto’s Disease (HD), through gene polymorphisms observed in AGO1 and AGO2 DNA sequences. More specifically, the AGO1rs636832 and AGO2rs11166985 polymorphisms were more frequently observed in GD patients than in healthy individuals (controls) while the AGO2rs11166985 and AGO2rs2292779 were more commonly detected in clinically intractable GD cases. Elevated expression of AGO1 mRNA was observed in AITD patients while AGO2 mRNA contents were increased in intractable GD patients than in individuals with GD in remission [109]. In ISSNH, a medical disorder with unknown aetiology and pathogenesis [110], AGO2 was found upregulated in the peripheral blood of patients, which strongly suggests the major contribution of AGO proteins to a wide spectrum of AIDs [111]. Moreover, deregulated levels of AGO2 were reported in CD, which is a chronic idiopathic inflammatory bowel disease. The microbial disruption of autophagy leads to expression changes of AGO2 and to a subsequent abnormal miRNA expression that drives and promotes CD pathogenesis [112].
The role of miRNAs in AIDs, including EAE, is under extensive investigation [113]. Global regulation of miRNA expression in the brain of immunized mice with EAE pathology was shown to depend on the availability of AGO2. miRNAs were loaded onto AGO complexes, and their availability and interactions with other RISC proteins may play important roles in the complexity of post-transcriptional regulation of the immune response [114,115].
Auto-antibodies are an important aspect of AIDs. Anti-Su auto-antibodies have been previously reported to be preferentially reactive against native antigens, as revealed by the Double Immune-Diffusion (DID)-protocol employment [116]. Twenty years of thorough research were required for the characterization and identification of AGO2 as the critical target antigen [117,118]. Anti-Su/AGO2 autoantibodies do not seem to bear any major disease specificity since they are detected in 10%–20% of patients with different RDs including the Systemic Lupus Erythematosus (SLE), Polymyositis (PM), Dermatomyositis (DM), Scleroderma (SD), and Sjögren’s Syndrome (SS), and even in apparently healthy individuals at lower prevalence [119]. However, other studies reported that Anti-Su auto-antibodies prevalence was 3% in SLE, 5.6% in probable SLE patients, 0% in Rheumatoid Arthritis (RA) and PM, and 3.3% in SD and Systemic Sclerosis (SSc) [116]. Anti-Su positive SLE patients compared to other published series of SLE cases were presented with an increased prevalence of Raynaud’s Disease (RD), and a reduced prevalence of malar rash, alopecia, arthritis, and anemia [120]. Further research needs to be performed to clarify if there is an actual anti-Su specificity regarding the diverse RD clinical and molecular pathologies.
Anti-Su identification is not limited to SLE patients and other common systemic AIDs [121], but is expanded in rare conditions such as the primary anti-phospholipid antibody syndrome (PAPS). A 13% ratio of PAPS patients were found to carry anti-Su and 10% were found positive for the anti-Ro60, which are similar to the anti-Su ones [122] in contrast to the absence of other auto-antibodies [123]. Anti-Su was also observed in the undifferentiated connective tissue disease (UCTD) [116,124], which dictates anti-Su for being a common auto-antibody in atypical RD cases. Their mechanistic role and clinical significance remain to be elucidated in order to provide novel and powerful tools for an early and accurate diagnosis, and, in some patients, to observe the progress of RD pathology.
Notably, although the anti-Su counteracts with AGO2, anti-Su-positive sera can also react to AGO1, AGO3, and AGO4 protein antigens likely due to the high conservation among their respective sequences [118]. Interestingly, 5% of Hepatitis C Virus (HCV) or Hepatitis B Virus (HBV) + HCV co-infected but not in HBV patients were anti-Su/AGO2 positive [125]. However, IFN treatment did not lead to a detectable effect in autoantibody production despite its major implication in autoimmunity repertoires [120]. Identification of the components of RNAi machinery, such as the AGO proteins, as targets of the anti-Su/AGO2 autoantibody system, implements an autoimmune response directed at the macromolecular complex and implicated in post-transcriptional regulatory scenarios of gene expression. Further investigation is definitely required to undoubtedly unveil AGOs as master players in the development and progression of AID pathologies.

2.3. AGOs in Cancer

The essential engagement of AGO in cancer has been extensively studied, and many research reports and review articles have identified the miRNA populations whose expression is altered during tumorigenesis. Thereby, this review has focused on AGO with emphasis on their expression, polymorphisms, mutational profiles, modifications, and interactions in cancer.
The deregulated AGO-gene expression is observed in a variety of malignancies such as breast cancer, melanoma, ovarian, urothelial, prostate, clear-cell renal, gastric, and colorectal carcinomas, as it seems to affect the proliferation rate and/or migratory potential of tumor cells [126,127,128,129,130,131,132]. Elevated expression of AGO is often reported in glioma, breast, hepatocellular, gastric, colon, ovarian, bladder, and prostate cancers, even though there are incidents of lower levels detected, as graphically illustrated in Figure 3. Expression studies for breast, lung, prostate, gastric, and renal cancers as well as glioma, melanoma, and acute lymphoblastic leukemia support the heterogeneity of AGO-expression levels in cancer. A detailed annotation regarding the changes (increase or decrease) of AGO expression across different cancer types is presented in Table 1. The deregulation of AGO2, which is the most abundant member of the family, has been associated with tumorigenesis and cancer progression and, therefore, it has been suggested for therapeutic intervention and treatment [133,134,135,136]. Using GeneMANIA (Multiple Association Network Integration Algorithm) [137] for prediction of gene function, Liu and colleagues revealed that AGO2 upregulation was correlated with acceleration in tumor progression and poor survival in a cohort of 962 lung-cancer patients [138]. However, in melanoma cells, downregulation of AGO2 is able to confer cell and tumor-growth [139]. Since AGOs exhibit cell-type-dependent and tissue-dependent sub-cellular-distribution patterns, and different regulation profiles of gene expression in between normal and oncogenic cellular settings [140], opposite functionalities are expected to be deployed by following tumor-specific fashions.
The AGO2 chromosomal position, 8q24.3, constitutes a frequently amplified locus in many cancer types, including the Hepatocellular Carcinoma (HCC). The change of DNA-copy number of AGO2 through DNA amplification or gene-gain processes may lead to upregulation of AGO2 cellular activity. This can, subsequently, affect the transcription levels of Focal Adhesion Kinase (FAK) in HCC patients [156]. FAK is a Non-Receptor Tyrosine Kinase, activated by Integrins and Growth Factors that can influence the cytoskeleton structures, cell-adhesion sites, and membrane protrusions, and, therefore, control cell movement in cell-migration and angiogenesis processes [171]. Elevation of FAK occurs by miRNA-independent AGO2 function. In addition, the AGO2 slicer-independent role in the miRNA-stabilization process [156,172] enhances the microRNA levels post-transcriptionally, which offers a new potential target for promising HCC treatment and therapy.
Single-Nucleotide Polymorphisms (SNPs) of AGO1 and AGO2 genes were found to be related to Disease-Free Survival (DFS) and Overall Survival (OS) in breast cancer in order to risk impact of renal cell carcinoma [173,174,175,176]. More specifically, AGO2 rs3864659 presents a protective effect on breast cancer patients whereas AGO2 rs11786030 and rs2292779 have been linked to a poor prognosis in Korean cohorts [177]. Furthermore, the AGO1 rs595055 polymorphism has been associated with low breast cancer risk in Russians [178]. In a Chinese-Han population, a genetic variant (AA and A allele of rs636832) of AGO1 influences gastric cancer by imposing a lower level of lymphatic metastasis [179]. In a Caucasian male cohort, the AG + GG genotypes of AGO1 rs595961 were shown to carry a significant protective effect in renal cell carcinoma [180]. Additionally, the same polymorphism seems to be associated with lung cancer risk in a Chinese female case report [181]. The impact of genetic variants rs636832 and rs595961 located within the AGO1 genetic locus may deliver susceptibility for specific types of cancer such as acute and chronic lymphoblastic leukemia, lung, renal, and bladder cancer [182].
Besides the deregulation of AGO-expression levels and SNP-dependent oncogenicity, post-translational modifications of AGOs can lead to an increase of the invasive potential of tumor cells. Under normoxia, c-Src kinase appears to obtain a stronger binding affinity for AGO2 and, therefore, it presumably constitutes the major regulatory kinase for AGO2. Nevertheless, phosphorylation at the critical Tyr393, Tyr529, or/and Tyr749 residues of AGO2 protein compels a tumor-promoting response [138]. Clinical data from breast cancer patients unveil a link between AGO2 phosphorylation at Tyr393 and poor overall survival [183]. This phosphorylation, dictated by EGFR but not c-Src kinase, inhibits Dicer binding to AGO2 and, subsequently, maturation of a particular miRNA subset. Notably, hypoxia-mediated prolyl-4-hydroxylation at Pro700, which is another crucial modification, causes accumulation of AGO2 protein in stress granules by associating with the Hsp90 molecular chaperone. This dictates the elevation of miRNA levels, which influences protein stability and affects tumorigenesis and tumor growth [184]. Besides AGO2, AGO1 serves as a target of hypoxia since in silico bioinformatics algorithms and in vitro validation assays proved that the Hypoxia-Induced Factor 1α (HIF1α) promotes Hypoxia-Responsive miRNAs (HRMs) that target AGO1 [185]. Subsequently, AGO1 induces translational de-suppression of VEGF mRNA associated with tumor angiogenesis and poor prognosis, and, thereby, provides a therapeutically new, beneficial target for an anti-angiogenesis or pro-angiogenesis strategy.
DNA damage is an important contributor to tumor formation as Double-Strand Brakes (DSBs) are hot spots of genome instability with demanding need of proper, efficient, and prompt repair. DNA-Damage Response (DDR) foci formation studies and checkpoint assays in human, mouse, and zebrafish demonstrated that elements of the RNAi pathway, such as Dicer and Drosha, but not AGOs, are necessary to activate DDR upon exogenous-DNA damage and oncogene-induced genotoxic stress [186]. Wei and colleagues, in a seminal article, reported that double-strand break-induced small RNAs (diRNAs) are produced in close vicinity of DSBs, which, then, serve as guiding molecules to facilitate the DNA-repair process. AGO2/diRNAs can either directly recruit DSB repair proteins or assist in modifying local chromatin and indirectly facilitating the repairing course [187]. How exactly AGO proteins are involved in DSB repair is a fascinating question that remains to be addressed. Gao and colleagues showed that AGO2 forms a complex with Rad51, which is a nucleoprotein-filament. The complex is able to facilitate strand invasion and to initiate the Homologous Recombination (HR) process [188]. Rad51-protein accumulation at DSB sites and HR repair depends on the catalytic activity and small RNA-binding capacity of AGO2. These findings strongly support a model in which Rad51 is guided to DSB sites by diRNAs via AGO2-specific interaction [189].
Lastly, AGOs seem to play a regulatory role in chromosomal-telomere integrity that has proved indispensable for maintaining genome’s stability and controlling cell proliferation. The length of human telomeric DNA is maintained by telomerase, which is a ribonucleoprotein (RNP) enzyme whose activity is highly elevated in 85%–90% of human cancers [190,191]. Telomerase contains two catalytic components: the Telomerase Reverse Transcriptase (TERT) and the H/ACA box Telomerase RNA Component (TERC), which is the template used for the synthesis of telomeres. AGO2 promotes telomerase activity, and stimulates the association between TERT and TERC, by interacting with TERC and interacting with a newly identified sRNA (terc-sRNA). In accordance, AGO2 depletion results in shorter-length telomeres as well as in lower proliferation rates, both in vitro and in vivo [192]. Altogether, these data uncover a new layer of complexity in the regulation of telomerase activity by AGO2, and may lay the foundation for novel therapeutic targets in tumors and telomere pathologies.

2.4. AGOs in Metabolic Deficiencies

2.4.1. Mitochondrial Dysfunctions

Accumulating evidence demonstrates the extensive association of AGOs with mitochondrial function. It has been suggested that AGO2 acts as a key mitochondrial translation-initiation factor to facilitate ribosome-mRNA interactions [193]. A set of 13 miRNAs, referred to as mitomiRs, was significantly enriched in mitochondria of HeLa cells with 120 target sites along the mitochondrial DNA (mtDNA) sequence. The most frequent predicted target sites were located at transcripts of ND1, ND4, ND5, and ND6 proteins, which are all components of the first complex of the respiratory chain, as well as the COX1 and COX2 ones, which are responsible for formation of prostanoids, including prostaglandins [193]. Proteomic studies have identified mitochondrial proteins mostly from the inner membrane to act as AGO2-binding partners, including a number of ATP/ADP translocases, carriers, and ribosomal proteins [194].
In pathological conditions, such as diabetic insult, the cardiac mitomiR distribution patterns are dramatically altered. This is not surprising, as type 1 diabetes mellitus (DM) is related to cardiac functional deficits, which may be derived from a diminished ability of cardiac mitochondria to generate ATP. Jagannathan and colleagues proved that, when AGO2 content is restricted, and the mitomiR-378, is absent, the mitochondrial RISC-mediated regulation is abolished. A balanced mitochondrial-RISC component stoichiometry assists in the formation of a functional complex and dictates the loss of mitochondrial-encoded proteins in the diabetic heart [195].
The significance of communication between mitochondria and nucleus has recently emerged. Despite the fact that published information shows the existence of miRNA machinery inside mitochondria [193,196,197,198,199,200,201], little is known concerning the AGO-mediated crosstalk in between the mitochondria and nucleus. AGO2 may be selectively imported into mitochondria through a target sequence predicted to reside near the NH2-terminus of the AGO2 protein [193]. This observation, together with the recent finding that AGO2 associates with Hsp90 [202], can provide an interesting rational of a molecular mechanism for the transfer and entrance of AGO2 into mitochondria as well as its pivotal role in the organelle.
Apart from miRNAs, a new class of small non-coding RNAs (sncRNAs), the mitochondrial tRNA Fragments (mt tRFs), was identified as a contributor to mitochondria-nucleus communication. In the clinical phenotype of oxidative phosphorylation (OXPHOS) diseases, a Dicer-dependent and AGO2-dependent accumulation of selected mt tRFs was reported, which suggests that mt tRFs are subjected to a mechanism of action similar to the miRNAs recognized one. Intriguingly, by using the cybrid model of MELAS (Mitochondrial Encephalomyopathy, Lactic Acidosis, and Stroke-like episodes), a causal mutation (m.3243A > G) in the mitochondrial tRNALeu(UUR) gene was identified. This gene could change the production of mt tRFs [203].
Two mechanisms of mt tRF biogenesis and function can be proposed, depending on Dicer and AGO2 localization. (I) mt tRNA molecules exported out of mitochondria are cleaved by Dicer, providing mature mt tRFs. Cytosolic mt tRFs are loaded onto AGO2 for silencing nuclear-encoded genes, such as the Mitochondrial Pyruvate Carrier 1 (MPC1). (II) The other proposed mechanism suggests the cleavage of mt tRFs followed by loading of their mature versions onto mtAGO2 proteins critically participating in regulation of the expression of mtDNA-encoded genes [201,203]. Regardless of the sub-routine via which they are produced, tRFs can associate with AGO proteins to form biologically active complexes [204,205]. The 3′ tRFs are more effectively associated with the AGO3 and AGO4 than the AGO1 and AGO2 subfamily members. It seems that tRFs are able to negatively regulate gene expression, and, although few endogenous targets for tRFs have been identified so far [205,206,207,208], their precise mode of production and function remain elusive [209]. Further related studies will greatly advance our knowledge regarding mitochondrial malfunction and their implication in pathological conditions of human diseases.

2.4.2. Obesity

Obesity is a worldwide, serious health problem associated with an increased risk of life-threatening diseases such as diabetes, fatty liver diseases, atherosclerosis, and certain types of cancer. The energy balance (production versus consumption) is a crucial aspect in these conditions, in which AGOs, and in particular AGO2, can be actively engaged as a key component of glucose and lipid metabolism. The AGO-mediated regulation of pathology being manifested in chronic metabolic disorders and obesity-associated sequelae can be conducted by miRNA-dependent and miRNA-independent processes, and can provide beneficial, new information regarding the pathogenesis and treatment of obesity.
It is well established that obesity causes defects in autophagy in the liver, leading to poor mitochondrial quality control [80,210,211] and to impaired protein synthesis, which induces an energy sourced-accumulation. The activation of AMP-activated protein kinase (AMPK), which is a kinase that serves as a major cellular-energy sensor, and its substrates ULK1, MFF, and PGC1α, improves mitochondrial capacity and quality, while, subsequently, generates sufficient energy for protein synthesis [212]. These processes can be controlled by an miRNA-independent mechanism through the AGO2-CCR4-NOT and AGO2-PAN2-PAN3 exonuclease complexes [25] that cooperate to likely repress protein translation and energy metabolism in the obese liver.
Hepatic AGO2 can also regulate the energy expenditure during the course of obesity by RNA silencing through the expression of a subset of miRNAs, including miR-802, miR-103/107, and miR-148a that target the HNF1β, CAV1, and AMPKA1 genes, whose products are critically implicated in glucose and lipid metabolism and homeostasis. Importantly, AGO2 inactivation protects from obesity-associated glucose intolerance and hepatic steatosis in mice [212]. The significant upregulation of Drosha, DGCR8, Dicer, and AGO2 in human umbilical vein endothelial cells (HUVEC) under hyperglycemic conditions provides strong indications for the essential contribution of AGO2 and its interactors to metabolism pathologies [213].
A fundamental, but still unanswered, question is how individual cells manage their intracellular metabolism with a simultaneous maintenance of the ongoing cellular functions to avoid hyperglycemic stress. In pancreatic β-cells, loss of AGO2 and miR-375 abolished compensatory proliferation of cells in response to an increase in the demand for insulin during insulin resistance and hyperglycemia [214,215]. The increasing demand for insulin clearly guides to an miRNA-mediated balance between the energy requirements organized for proliferation versus those for exocytosis in the pancreas [214]. In pancreatic β-cells, loss of AGO2 abolishes compensatory proliferation during insulin resistance, which indicates a potential role in an adaptive capacity [50,216]. AGO2 expression, in these cells, is modulated in accordance to glucose metabolism, which provides further evidence for its direct link to cellular-energy homeostasis [217]. Moreover, in liver, AGO2 expression is modulated according to changes in extracellular glucose concentrations. Conditional deletion of AGO2 in hepatocytes diminishes adaptive-glucose production during fasting, while its loss promotes the expression of key-metabolic molecules, such as AMPKa1, by derepressing miR-148a. In hyperglycemic, obese, and insulin-resistant Lepob/ob mice, AGO2 deletion reduces random and fasted blood-glucose levels and body weight, and improves insulin sensitivity [214]. Altogether, these results identify AGO2 as an essential regulator of the fasting response in liver and further reinforce the critical role(s) of AGOs in adaptive-physiological processes.

2.5. AGOs in Psychiatric Disorders and Neuronal Diseases

RISC machinery is an important regulator of gene expression in stress-related psychiatric pathologies. Molecular analysis and behavioral studies in mice indicate that AGO2-associated miRNAs and cognate mRNA targets play an important role in these conditions, as the AGO-miRNA complex is a key regulator of intact behavioral response(s) to chronic stress (Figure 4). Chronic stress leads to increased miR-15a levels in the amygdala-AGO2 complex and a simultaneous reduction of its predicted target, FKBP51, whose protein product is involved in stress-related psychiatric disorders [218]. Implication of the RISC machinery was reported in post-traumatic stress disorder (PTSD) of war veterans (WV), validated by the clinician administered PTSD scale (CAPS) [219], and the Diagnostic and Statistical Manual of mental disorder (DSM-V) [220]. In particular, there is deregulation of the miRNA biogenesis pathway due to diminished expression of its key molecules AGO2, DCR1, and STAT3 [221]. Even in the case of cocaine addiction, AGO2 has been significantly involved. In such a situation, elevated levels of released dopamine are followed by stable changes in gene transcription, mRNA translation, and metabolism, within medium spiny neurons in the striatum. A distinct group of miRNAs was identified that could be specifically regulated by AGO2 in the striatum and was suggested to likely play a role in cocaine addiction. Furthermore, AGO2 deficiency in Dopamine 2 Receptor (Drd2)-expressing neurons greatly reduces the motivation to self-administered cocaine in mice [222]. The engagement of AGO2 in mental conditions is reinforced by its critical implication in Fragile X Syndrome (FXS), which is a disease of aberrant protein production and behavioral abnormalities that include autistic-like features [223,224,225,226]. The Fragile X Mental Retardation Protein (FMRP) is required for normal cognition and, as a result, FXS patients are cognitively impaired. AGO2 activity is facilitated or blocked by MOV10, which is an RNA helicase that participates in modulating miRNA targeting [227]. MOV10 binding was shown to be located on accessible region(s) at the beginning of 3′-UTR, ~21 nucleotides residing downstream of the terminating ribosome [228]. MOV10 allows the AGO2 binding to formerly inaccessible miRNA Recognition Elements (MREs), by unwinding of GC-rich secondary structures. When FMRP recognizes and interacts with 3′-UTR, AGO2 binding is blocked, which likely uncovers a competitive association of MOV10 for the same GC-rich sequence [229]. Hence, the MOV10 function as helicase may be prevented by the FMRP ability to stabilize the structure with subsequent impact on AGO2 accessibility to MREs in the brain [229].
Furthermore, AGO1 genomic alterations present a causal link to intellectual disability/autism spectrum disorder. A critical AGO1-gene mutation (Gly199Ser) is associated with recognizable clinical features such as hypotonia, infrequent seizures, and intellectual disability, and facial features consisting of telecanthus, a wide nasal bridge with a bulbous nasal tip, and a round face with downwardly slanted palpebral fissures. However, telecanthus closely resembles the phenotype obtained from patients carrying a chromosomal micro-deletion encompassing the AGO1 locus [230]. Thereby, AGO1 mutations may serve as causality for the syndromic form of intellectual disability/autism-spectrum disorder.
AGOs are also engaged in neurological diseases, such as Huntington’s and amyotrophic lateral sclerosis (ALS). In mouse models, as well as in post-mortem material from patients with Huntington’s Disease (HD), AGO2 accumulation is observed when neuronal protein aggregates are formed, as a result of impaired autophagy. AGO2 accumulation is essentially different in between mature non-dividing neurons and dividing cells, and results in global changes of miRNA activity, which contributes to alterations of post-transcriptional networks in neurodegenerative diseases [231].
In the case of ALS, a fatal progressive, neurodegenerative disease that targets motor neurons (MNs), the mitochondrial dysfunction is one of the most crucial molecular pathologies developed [232]. The mechanistic coupling between mitochondria and RNAi machinery has emerged as an exciting and powerful area, beginning with the discovery that AGO2 associates with mitochondria [233]. Specifically, AGO2 was found selectively bound to mitochondrial tRNAMet, which provides evidence that links mitochondria with RNAi-related components, such as AGOs. Notably, AGO2 and Dicer were detected in isolated mitochondria derived from hippocampal neurons [234,235]. Further data suggest that mitochondria participate in the axonal localization and transport of RNAi machinery, and alterations in this mechanism may be associated with neurodegeneration in ALS [236].
Recent studies have also directly connected ALS pathology with deregulation in global [237,238] and local protein synthesis [239]. Strikingly, AGO2, Dicer, and miRNAs were shown to reside in distal axons and growth cones. The large number of mRNA transcripts discovered in both dendrites and axons suggests that local protein translation is the rule and not the exception [240,241,242]. Although it is not fully understood how mRNA transcripts can be localized at distinct neuronal compartments in MNs, the majority of mRNAs is translationally repressed in the axon(s), waiting for an extrinsic cue (i.e., stress, trophic factor, or injury) to be applied. This repression is crucial during axonal transport and recent work has suggested that loaded miRNA machinery critically contributes to this silencing course [243]. The regulation of local protein synthesis in growth cones and axonal junctions by anchoring RISC proteins and miRNAs, a process disrupted in mutant SOD1 (SuperOxide Dismutase 1) neurons of ALS pathology, plays an important role in the alterations of local biosynthesis [236]. Altered RNA localization and local-protein synthesis can be toxic to neurons, and have been related to ALS and other neurodegenerative diseases, such as spinal muscular atrophy (SMA), HD, spinocerebellar ataxias (SCAs), Parkinson’s disease (PD), Alzheimer’s disease (AD), and prion diseases [241,244,245,246]. Taken together, it seems that the contribution of AGOs to mental and neurological diseases is decisive, but requires further assessment to thoroughly evaluate its functional causality for neuropathology development.

2.6. AGOs and Infertility

Human infertility affects many couples with almost 7% of healthy men suffering from involuntary childlessness for which clinical examinations do not provide answers [247]. Extensive research has been performed, which aimed to unravel causalities of different types of infertility. Evidence has been provided for the direct and indirect implication of AGOs both in spermatogenesis and oogenesis.
The successful completion of gametogenesis requires a comprehensive programming of gene expression. In C. elegans, ALG-3 and ALG-4 AGO proteins were found to promote male fertility [248,249]. The other AGO-family member, CSR-1, which interacts with 22G RNAs (~22-nucleotide-long small RNAs, predominantly having a 5′-G and being synthesized by RNA-dependent RNA polymerases, using long transcripts as templates) to protect the mRNAs from Piwi-piRNA mediated silencing has been identified in the sperm, together with small anti-sense RNAs against oocyte-specific germ-line mRNAs. The other Argonaute family member CSR-1, which interacts with 22G small RNAs to protect the mRNAs from Piwi-piRNA mediated silencing, is also present together with small RNAs anti-sense to female-specific germline mRNAs into the sperm. Functions of ALG-3/4 and CSR-1 are prerequisites to promote robust spermatogenic-gene expression. Although ALG-3/4 are absent from mature sperm [248], CSR-1 contents have proved to be abundant in the same condition. These two seem to act in synergy, providing an epigenetic memory of paternal gene expression via sperm. In accordance, heterozygous offspring produced from homozygous alg-3/4 or csr-1 males crossed with a wild-type exhibit reduced fertility [250].
In mammals, nuclear localization of AGO4 in germ cells during prophase I of meiosis and its accumulation within the sex body of pachytene spermatocytes indicate AGO4 implication in the silencing process of meiotic sex chromosome inactivation. Likewise, an RNA-induced transcriptional silencing complex (such as in S. pombe and C. elegans [251]) exists and operates at the heterochromatin level during meiosis [19,251]. Importantly, ~20% of the global miRNA downregulation is derived from miRNAs expressed from the X chromosome, and, strikingly, all miRNAs encoded on the X chromosome are significantly less abundant in AGO4−/− mutant cells [19]. Meiotic silencing includes autosomal regions that fail to pair with their homologous partners, where AGO4 is located [252]. AGO4−/− male mice are shown to be sub-fertile, with reduced testis size and lower epididymal-sperm counts. Lack of AGO4 causes impairment of meiotic prophase I and, consequently, high proportion of apoptotic-prone spermatocytes. This spermatogonia initiates early meiosis, which results from premature induction of retinoic acid-response genes [19]. Collectively, these data suggest a direct involvement of AGO4 in mammalian meiosis and successful spermatogenesis, with analogous processes having been described in the nematode C. elegans and the fungus N. crassa [253].
A testicular tumor, which is the most common malignancy in young men, derives from abnormalities in germ cells during fetal development. Testicular Germ-Cell Tumor (TGCT) risk and testicular abnormalities in both parents-of-origin were found to be modulated by AGO2. AGO2, together with the RNA-binding protein A1CF, participate in the epigenetic control of germ-cell fate, urogenital development, and gamete function [60]. AGO2 is presented to be associated with Huntingtin (HTT), which is expressed, besides the human brain, in the testis. Both proteins are located inside P-granules, which are the centers of mRNA storage and degradation. Therefore, this provides an additional role to the well-known function(s) of the HTT gene [254,255].
The catalytic activity of AGO2 is also essential for successful oocyte maturation. Deletion of AGO2 or Dicer, from the female germ-line, causes infertility due to defects during meiosis I [256]. Mice that express a catalytically inactive, knock-in allele of AGO2 (AGO2ADH), exclusively in oocytes, present normal oogenesis and hormonal response, but impaired meiotic maturation with severe defects in spindle formation and chromosome alignment that lead to meiotic catastrophe [257]. AGOs may likely ensure proper centromere function and correct chromosome segregation, as chromosomal deficiencies are coupled with the AGO presence in the nucleus. This belief is reinforced by the ability of CSR-1, the C. elegans AGO-family homologous member, to associate with chromosomes [258]. In its absence, animals become infertile and demonstrate a multitude of meiotic and mitotic defects [259,260].
The implication of AGOs is not limited in spermatogenesis and oogenesis, but is expanded in the early stages of embryogenesis, as demonstrated in mouse models. Translational degradation of a proportion of maternal transcript messages engages the RNAi-machinery. AGO2 and AGO3 transcripts are both expressed in oocytes, while depletion of AGO2 mRNA causes developmental arrest at the two-cell stage during the maternal-to-zygotic transition phase [259].
Thoroughly examining the AGO-expression profiles in gametes (sperms and oocytes) and abortion products may prove extremely important and very beneficial for infertile individuals, especially when no other clinical explanation is available.

3. Conclusions

AGO proteins are fundamental players in the post-transcriptional gene silencing process. Despite the large number of pioneering studies regarding their identified functions, there is still a gap to be filled in their importance to human pathologies. Emerging evidence for gene expression regulation and cell-fate determination via AGO(s) mediation has opened new windows for the mechanistic association of their functional-deregulation, gene-polymorphism, and protein-modification profiles with clinicο-pathological features leading to serious diseases such as viral infections, auto-immunities, cancers, metabolic dysfunctions, neuronal disorders, and infertilities. AGOs drive the mRNA-degradation machinery during viral infections by loading viRNA species. Anti-Su autoantibodies react to AGO2, which serves as their main target antigen during AIDs. AGOs are critically engaged in tumorigenesis-related pathways while they seem to regulate energy expenditure during the course of metabolism by loading specific sets of miRNAs. They act as key mitochondrial, translation initiation factors to facilitate ribosome-mRNA interactions. AGOs are responsible for the intact behavioral responses to chronic stress stimuli while critical mutations may cause autistic features and intellectual disabilities. Remarkably, AGO accumulation has been related to neuronal pathologies. The cleavage activity of AGO2 is essential for successful oocyte maturation. AGO4 ensures the apoptosis execution program during spermatogenesis. All the above clearly unveil the versatile and pivotal role of AGO in both physiological and pathological cellular settings. The reasonably raised question is if AGO abnormalities are the molecular causes of the previously mentioned pathologies and diseases, and, thereby, if they represent novel and powerful druggable therapeutic targets, or consequences of a global cellular deregulation and destabilization. Advanced investigation needs to be performed to fully clarify the implicated molecular mechanisms and to hopefully provide AGO-dependent therapeutic regimens for the successful management of human pathologies in the clinic.

Author Contributions

Writing-original draft preparation, review concept, V.I.P. and E.A. Writing-review, and editing, V.I.P., S.G., P.K., S.T., D.J.S., and E.A. Bioinformatic analysis, P.K. Table cancer review, S.N.G. All authors have read and agreed to the published version of the manuscript.

Funding

Financial support was kindly provided by the (A) State Scholarships Foundation (IKY) grant to Vasiliki Pantazopoulou Athens, Greece (GR), (B) GALAXY: Gut-and-liver axis in alcoholic liver fibrosis, Horizon 2020, 2016–2020, Grant agreement ID: 668031, Athens, Greece.

Conflicts of Interest

The authors declare that they have no competing financial and/or non-financial interests.

References

  1. Moussian, B.; Schoof, H.; Haecker, A.; Jürgens, G.; Laux, T. Role of the ZWILLE gene in the regulation of central shoot meristem cell fate during Arabidopsis embryogenesis. EMBO J. 1998, 17, 1799–1809. [Google Scholar] [CrossRef] [Green Version]
  2. Bohmert, K.; Camus, I.; Bellini, C.; Bouchez, D.; Caboche, M.; Benning, C. AGO1 defines a novel locus of Arabidopsis controlling leaf development. EMBO J. 1998, 17, 170–180. [Google Scholar] [CrossRef] [PubMed]
  3. Lin, H.; Spradling, A.C. A novel group of pumilio mutations affects the asymmetric division of germline stem cells in the Drosophila ovary. Development 1997, 124, 2463–2476. [Google Scholar] [PubMed]
  4. Ambros, V. The functions of animal microRNAs. Nature 2004, 431, 350–355. [Google Scholar] [CrossRef]
  5. Hutvagner, G.; Simard, M.J. Argonaute proteins: Key players in RNA silencing. Nat. Rev. Mol. Cell Biol. 2008, 9, 22–32. [Google Scholar] [CrossRef] [Green Version]
  6. Hock, J.; Meister, G. The Argonaute protein family. Genome Biol. 2008, 9, 210. [Google Scholar] [CrossRef]
  7. Schurmann, N.; Trabuco, L.G.; Bender, C.; Russell, R.B.; Grimm, D. Molecular dissection of human Argonaute proteins by DNA shuffling. Nat. Struct. Mol. Biol. 2013, 20, 818–826. [Google Scholar] [CrossRef]
  8. Joshua-Tor, L. The Argonautes. Cold Spring Harb. Symp. Quant. Biol. 2006, 71, 67–72. [Google Scholar] [CrossRef] [Green Version]
  9. Su, H.; Trombly, M.I.; Chen, J.; Wang, X. Essential and overlapping functions for mammalian Argonautes in microRNA silencing. Genes Dev. 2009, 23, 304–317. [Google Scholar] [CrossRef] [Green Version]
  10. Meyer, W.J.; Schreiber, S.; Guo, Y.; Volkmann, T.; Welte, M.A.; Muller, H.A. Overlapping functions of argonaute proteins in patterning and morphogenesis of Drosophila embryos. PLoS Genet. 2006, 2, e134. [Google Scholar] [CrossRef]
  11. Matsui, M.; Li, L.; Janowski, B.A.; Corey, D.R. Reduced Expression of Argonaute 1, Argonaute 2, and TRBP Changes Levels and Intracellular Distribution of RNAi Factors. Sci. Rep. 2015, 5, 12855. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Hauptmann, J.; Dueck, A.; Harlander, S.; Pfaff, J.; Merkl, R.; Meister, G. Turning catalytically inactive human Argonaute proteins into active slicer enzymes. Nat. Struct. Mol. Biol. 2013, 20, 814–817. [Google Scholar] [CrossRef] [PubMed]
  13. Broderick, J.A.; Salomon, W.E.; Ryder, S.P.; Aronin, N.; Zamore, P.D. Argonaute protein identity and pairing geometry determine cooperativity in mammalian RNA silencing. RNA 2011, 17, 1858–1869. [Google Scholar] [CrossRef] [Green Version]
  14. Liu, J.; Carmell, M.A.; Rivas, F.V.; Marsden, C.G.; Thomson, J.M.; Song, J.-J.; Hammond, S.M.; Joshua-Tor, L.; Hannon, G.J. Argonaute2 Is the Catalytic Engine of Mammalian RNAi. Science 2004, 305, 1437–1441. [Google Scholar] [CrossRef] [Green Version]
  15. Meister, G.; Landthaler, M.; Patkaniowska, A.; Dorsett, Y.; Teng, G.; Tuschl, T. Human Argonaute 2 mediates RNA cleavage targeted by miRNAs and siRNAs. Mol. Cell 2004, 15, 185–197. [Google Scholar] [CrossRef]
  16. Park, M.S.; Phan, H.D.; Busch, F.; Hinckley, S.H.; Brackbill, J.A.; Wysocki, V.H.; Nakanishi, K. Human Argonaute3 has slicer activity. Nucleic Acids Res. 2017, 45, 11867–11877. [Google Scholar] [CrossRef]
  17. Hu, Q.; Tanasa, B.; Trabucchi, M.; Li, W.; Zhang, J.; Ohgi, K.A.; Rose, D.W.; Glass, C.K.; Rosenfeld, M.G. DICER- and AGO3-dependent generation of retinoic acid-induced DR2 Alu RNAs regulates human stem cell proliferation. Nat. Struct. Mol. Biol. 2012, 19, 1168–1175. [Google Scholar] [CrossRef] [Green Version]
  18. Jan, S.Z.; Vormer, T.L. Unraveling transcriptome dynamics in human spermatogenesis. Development 2017, 144, 3659–3673. [Google Scholar] [CrossRef] [Green Version]
  19. Modzelewski, A.J.; Holmes, R.J.; Hilz, S.; Grimson, A.; Cohen, P.E. AGO4 regulates entry into meiosis and influences silencing of sex chromosomes in the male mouse germline. Dev. Cell 2012, 23, 251–264. [Google Scholar] [CrossRef] [Green Version]
  20. Faehnle, C.R.; Elkayam, E.; Haase, A.D.; Hannon, G.J.; Joshua-Tor, L. The making of a slicer: Activation of human Argonaute-1. Cell Rep. 2013, 3, 1901–1909. [Google Scholar] [CrossRef] [Green Version]
  21. Denli, A.M.; Tops, B.B.; Plasterk, R.H.; Ketting, R.F.; Hannon, G.J. Processing of primary microRNAs by the Microprocessor complex. Nature 2004, 432, 231–235. [Google Scholar] [CrossRef] [PubMed]
  22. Okada, C.; Yamashita, E.; Lee, S.J.; Shibata, S.; Katahira, J.; Nakagawa, A.; Yoneda, Y.; Tsukihara, T. A high-resolution structure of the pre-microRNA nuclear export machinery. Science 2009, 326, 1275–1279. [Google Scholar] [CrossRef] [PubMed]
  23. Ha, M.; Kim, V.N. Regulation of microRNA biogenesis. Nat. Rev. Mol. Cell Biol. 2014, 15, 509–524. [Google Scholar] [CrossRef] [PubMed]
  24. Yoda, M.; Kawamata, T.; Paroo, Z.; Ye, X.; Iwasaki, S.; Liu, Q.; Tomari, Y. ATP-dependent human RISC assembly pathways. Nat. Struct. Mol. Biol. 2010, 17, 17–23. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Jonas, S.; Izaurralde, E. Towards a molecular understanding of microRNA-mediated gene silencing. Nat. Rev. Genet. 2015, 16, 421–433. [Google Scholar] [CrossRef] [PubMed]
  26. Madeira, F.; Park, Y.M.; Lee, J.; Buso, N.; Gur, T.; Madhusoodanan, N.; Basutkar, P.; Tivey, A.R.N.; Potter, S.C.; Finn, R.D.; et al. The EMBL-EBI search and sequence analysis tools APIs in 2019. Nucleic Acids Res. 2019, 47, W636–W641. [Google Scholar] [CrossRef] [Green Version]
  27. Cunningham, F.; Achuthan, P.; Akanni, W.; Allen, J.; Amode, M.R.; Armean, I.M.; Bennett, R.; Bhai, J.; Billis, K.; Boddu, S.; et al. Ensembl 2019. Nucleic Acids Res. 2019, 47, D745–D751. [Google Scholar] [CrossRef] [Green Version]
  28. Berman, H.M.; Westbrook, J.; Feng, Z.; Gilliland, G.; Bhat, T.N.; Weissig, H.; Shindyalov, I.N.; Bourne, P.E. The Protein Data Bank. Nucleic Acids Res. 2000, 28, 235–242. [Google Scholar] [CrossRef] [Green Version]
  29. El-Gebali, S.; Mistry, J.; Bateman, A.; Eddy, S.R.; Luciani, A.; Potter, S.C.; Qureshi, M.; Richardson, L.J.; Salazar, G.A.; Smart, A.; et al. The Pfam protein families database in 2019. Nucleic Acids Res. 2019, 47, D427–D432. [Google Scholar] [CrossRef]
  30. Humphrey, W.; Dalke, A.; Schulten, K. VMD: Visual molecular dynamics. J. Mol. Graph. 1996, 14, 33–38. [Google Scholar] [CrossRef]
  31. Klionsky, D.J.; Abdelmohsen, K.; Abe, A.; Abedin, M.J.; Abeliovich, H.; Acevedo Arozena, A.; Adachi, H.; Adams, C.M.; Adams, P.D.; Adeli, K.; et al. Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition). Autophagy 2016, 12, 1–222. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Schirle, N.T.; Sheu-Gruttadauria, J.; Chandradoss, S.D.; Joo, C.; MacRae, I.J. Water-mediated recognition of t1-adenosine anchors Argonaute2 to microRNA targets. eLife 2015, 4. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Park, M.S.; Araya-Secchi, R.; Brackbill, J.A.; Phan, H.D.; Kehling, A.C.; Abd El-Wahab, E.W.; Dayeh, D.M.; Sotomayor, M.; Nakanishi, K. Multidomain Convergence of Argonaute during RISC Assembly Correlates with the Formation of Internal Water Clusters. Mol. Cell 2019, 75, 725–740. [Google Scholar] [CrossRef] [PubMed]
  34. Sastry, G.M.; Adzhigirey, M.; Day, T.; Annabhimoju, R.; Sherman, W. Protein and ligand preparation: Parameters, protocols, and influence on virtual screening enrichments. J. Comput. Aided Mol. Des. 2013, 27, 221–234. [Google Scholar] [CrossRef]
  35. Jacobson, M.P.; Pincus, D.L.; Rapp, C.S.; Day, T.J.F.; Honig, B.; Shaw, D.E.; Friesner, R.A. A hierarchical approach to all-atom protein loop prediction. Proteins Struct. Funct. Bioinform. 2004, 55, 351–367. [Google Scholar] [CrossRef] [Green Version]
  36. Søndergaard, C.R.; Olsson, M.H.; Rostkowski, M.; Jensen, J.H. Improved Treatment of Ligands and Coupling Effects in Empirical Calculation and Rationalization of pKa Values. J. Chem. Theory Comput. 2011, 7, 2284–2295. [Google Scholar] [CrossRef]
  37. Olsson, M.H.; Søndergaard, C.R.; Rostkowski, M.; Jensen, J.H. PROPKA3: Consistent Treatment of Internal and Surface Residues in Empirical pKa Predictions. J. Chem. Theory Comput. 2011, 7, 525–537. [Google Scholar] [CrossRef]
  38. Harder, E.; Damm, W.; Maple, J.; Wu, C.; Reboul, M.; Xiang, J.Y.; Wang, L.; Lupyan, D.; Dahlgren, M.K.; Knight, J.L.; et al. OPLS3: A Force Field Providing Broad Coverage of Drug-like Small Molecules and Proteins. J. Chem. Theory Comput. 2016, 12, 281–296. [Google Scholar] [CrossRef]
  39. Stagsted, L.V.; Daugaard, I.; Hansen, T.B. The agotrons: Gene regulators or Argonaute protectors? Bioessays News Rev. Mol. Cell. Dev. Biol. 2017, 39. [Google Scholar] [CrossRef]
  40. Hansen, T.B.; Veno, M.T.; Jensen, T.I.; Schaefer, A.; Damgaard, C.K.; Kjems, J. Argonaute-associated short introns are a novel class of gene regulators. Nat. Commun. 2016, 7, 11538. [Google Scholar] [CrossRef]
  41. Ruby, J.G.; Jan, C.H.; Bartel, D.P. Intronic microRNA precursors that bypass Drosha processing. Nature 2007, 448, 83–86. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Babiarz, J.E.; Ruby, J.G.; Wang, Y.; Bartel, D.P.; Blelloch, R. Mouse ES cells express endogenous shRNAs, siRNAs, and other Microprocessor-independent, Dicer-dependent small RNAs. Genes Dev. 2008, 22, 2773–2785. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Josa-Prado, F.; Henley, J.M.; Wilkinson, K.A. SUMOylation of Argonaute-2 regulates RNA interference activity. Biochem. Biophys. Res. Commun. 2015, 464, 1066–1071. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Zhang, H.; Wang, Y.; Dou, J.; Guo, Y.; He, J.; Li, L.; Liu, X.; Chen, R.; Deng, R.; Huang, J.; et al. Acetylation of AGO2 promotes cancer progression by increasing oncogenic miR-19b biogenesis. Oncogene 2019, 38, 1410–1431. [Google Scholar] [CrossRef] [Green Version]
  45. Rybak, A.; Fuchs, H.; Hadian, K.; Smirnova, L.; Wulczyn, E.A.; Michel, G.; Nitsch, R.; Krappmann, D.; Wulczyn, F.G. The let-7 target gene mouse lin-41 is a stem cell specific E3 ubiquitin ligase for the miRNA pathway protein Ago2. Nat. Cell Biol. 2009, 11, 1411–1420. [Google Scholar] [CrossRef]
  46. Gibbings, D.; Mostowy, S.; Jay, F.; Schwab, Y.; Cossart, P.; Voinnet, O. Selective autophagy degrades DICER and AGO2 and regulates miRNA activity. Nat. Cell Biol. 2012, 14, 1314–1321. [Google Scholar] [CrossRef] [Green Version]
  47. Leung, A.K.; Vyas, S.; Rood, J.E.; Bhutkar, A.; Sharp, P.A.; Chang, P. Poly(ADP-ribose) regulates stress responses and microRNA activity in the cytoplasm. Mol. Cell 2011, 42, 489–499. [Google Scholar] [CrossRef] [Green Version]
  48. Butepage, M.; Eckei, L.; Verheugd, P.; Luscher, B. Intracellular Mono-ADP-Ribosylation in Signaling and Disease. Cells 2015, 4, 569–595. [Google Scholar] [CrossRef] [Green Version]
  49. Quevillon Huberdeau, M.; Zeitler, D.M.; Hauptmann, J.; Bruckmann, A.; Fressigne, L.; Danner, J.; Piquet, S.; Strieder, N.; Engelmann, J.C.; Jannot, G.; et al. Phosphorylation of Argonaute proteins affects mRNA binding and is essential for microRNA-guided gene silencing in vivo. EMBO J. 2017, 36, 2088–2106. [Google Scholar] [CrossRef]
  50. Meister, G. Argonaute proteins: Functional insights and emerging roles. Nat. Rev. Genet. 2013, 14, 447–459. [Google Scholar] [CrossRef]
  51. Qi, H.H.; Ongusaha, P.P.; Myllyharju, J.; Cheng, D.; Pakkanen, O.; Shi, Y.; Lee, S.W.; Peng, J.; Shi, Y. Prolyl 4-hydroxylation regulates Argonaute 2 stability. Nature 2008, 455, 421–424. [Google Scholar] [CrossRef] [PubMed]
  52. Pfeffer, S.; Zavolan, M.; Grasser, F.A.; Chien, M.; Russo, J.J.; Ju, J.; John, B.; Enright, A.J.; Marks, D.; Sander, C.; et al. Identification of virus-encoded microRNAs. Science 2004, 304, 734–736. [Google Scholar] [CrossRef] [PubMed]
  53. Morgan, R.; Anderson, A.; Bernberg, E.; Kamboj, S.; Huang, E.; Lagasse, G.; Isaacs, G.; Parcells, M.; Meyers, B.C.; Green, P.J.; et al. Sequence conservation and differential expression of Marek’s disease virus microRNAs. J. Virol. 2008, 82, 12213–12220. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Umbach, J.L.; Kramer, M.F.; Jurak, I.; Karnowski, H.W.; Coen, D.M.; Cullen, B.R. MicroRNAs expressed by herpes simplex virus 1 during latent infection regulate viral mRNAs. Nature 2008, 454, 780–783. [Google Scholar] [CrossRef] [Green Version]
  55. Tang, S.; Bertke, A.S.; Patel, A.; Wang, K.; Cohen, J.I.; Krause, P.R. An acutely and latently expressed herpes simplex virus 2 viral microRNA inhibits expression of ICP34.5, a viral neurovirulence factor. Proc. Natl. Acad. Sci. USA 2008, 105, 10931–10936. [Google Scholar] [CrossRef] [Green Version]
  56. Grey, F.; Antoniewicz, A.; Allen, E.; Saugstad, J.; McShea, A.; Carrington, J.C.; Nelson, J. Identification and characterization of human cytomegalovirus-encoded microRNAs. J. Virol. 2005, 79, 12095–12099. [Google Scholar] [CrossRef] [Green Version]
  57. Cullen, B.R. Viruses and microRNAs: RISCy interactions with serious consequences. Genes Dev. 2011, 25, 1881–1894. [Google Scholar] [CrossRef] [Green Version]
  58. Goubau, D.; Deddouche, S.; Reis e Sousa, C. Cytosolic sensing of viruses. Immunity 2013, 38, 855–869. [Google Scholar] [CrossRef] [Green Version]
  59. Schneider, W.M.; Chevillotte, M.D.; Rice, C.M. Interferon-stimulated genes: A complex web of host defenses. Annu. Rev. Immunol. 2014, 32, 513–545. [Google Scholar] [CrossRef] [Green Version]
  60. Berkhout, B. RNAi-mediated antiviral immunity in mammals. Curr. Opin. Virol. 2018, 32, 9–14. [Google Scholar] [CrossRef]
  61. Minks, M.A.; West, D.K.; Benvin, S.; Baglioni, C. Structural requirements of double-stranded RNA for the activation of 2′,5′-oligo(A) polymerase and protein kinase of interferon-treated HeLa cells. J. Biol. Chem. 1979, 254, 10180–10183. [Google Scholar]
  62. Schreiber, G. The molecular basis for differential type I interferon signaling. J. Biol. Chem. 2017, 292, 7285–7294. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Lazear, H.M.; Schoggins, J.W.; Diamond, M.S. Shared and Distinct Functions of Type I and Type III Interferons. Immunity 2019, 50, 907–923. [Google Scholar] [CrossRef] [PubMed]
  64. Elbashir, S.M.; Harborth, J.; Lendeckel, W.; Yalcin, A.; Weber, K.; Tuschl, T. Duplexes of 21-nucleotide RNAs mediate RNA interference in cultured mammalian cells. Nature 2001, 411, 494–498. [Google Scholar] [CrossRef]
  65. Seo, G.J.; Kincaid, R.P.; Phanaksri, T.; Burke, J.M.; Pare, J.M.; Cox, J.E.; Hsiang, T.Y.; Krug, R.M.; Sullivan, C.S. Reciprocal inhibition between intracellular antiviral signaling and the RNAi machinery in mammalian cells. Cell Host Microbe 2013, 14, 435–445. [Google Scholar] [CrossRef] [Green Version]
  66. Levanova, A.; Poranen, M.M. RNA Interference as a Prospective Tool for the Control of Human Viral Infections. Front. Microbiol. 2018, 9, 2151. [Google Scholar] [CrossRef] [PubMed]
  67. Goic, B.; Stapleford, K.A.; Frangeul, L.; Doucet, A.J.; Gausson, V.; Blanc, H.; Schemmel-Jofre, N.; Cristofari, G.; Lambrechts, L.; Vignuzzi, M.; et al. Virus-derived DNA drives mosquito vector tolerance to arboviral infection. Nat. Commun. 2016, 7, 12410. [Google Scholar] [CrossRef] [Green Version]
  68. Wang, X.H.; Aliyari, R.; Li, W.X.; Li, H.W.; Kim, K.; Carthew, R.; Atkinson, P.; Ding, S.W. RNA interference directs innate immunity against viruses in adult Drosophila. Science 2006, 312, 452–454. [Google Scholar] [CrossRef] [Green Version]
  69. Mahla, R.S.; Reddy, M.C.; Prasad, D.V.; Kumar, H. Sweeten PAMPs: Role of Sugar Complexed PAMPs in Innate Immunity and Vaccine Biology. Front. Immunol. 2013, 4, 248. [Google Scholar] [CrossRef] [Green Version]
  70. Kumar, H.; Kawai, T.; Akira, S. Pathogen recognition by the innate immune system. Int. Rev. Immunol. 2011, 30, 16–34. [Google Scholar] [CrossRef]
  71. Takeda, K.; Kaisho, T.; Akira, S. Toll-like receptors. Annu. Rev. Immunol. 2003, 21, 335–376. [Google Scholar] [CrossRef] [PubMed]
  72. Lee, W.S.; Webster, J.A.; Madzokere, E.T.; Stephenson, E.B.; Herrero, L.J. Mosquito antiviral defense mechanisms: A delicate balance between innate immunity and persistent viral infection. Parasites Vectors 2019, 12, 165. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Ding, S.W.; Voinnet, O. Antiviral immunity directed by small RNAs. Cell 2007, 130, 413–426. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Aliyari, R.; Ding, S.W. RNA-based viral immunity initiated by the Dicer family of host immune receptors. Immunol. Rev. 2009, 227, 176–188. [Google Scholar] [CrossRef]
  75. Li, F.; Ding, S.W. Virus counterdefense: Diverse strategies for evading the RNA-silencing immunity. Annu. Rev. Microbiol. 2006, 60, 503–531. [Google Scholar] [CrossRef] [Green Version]
  76. van Rij, R.P.; Saleh, M.C.; Berry, B.; Foo, C.; Houk, A.; Antoniewski, C.; Andino, R. The RNA silencing endonuclease Argonaute 2 mediates specific antiviral immunity in Drosophila melanogaster. Genes Dev. 2006, 20, 2985–2995. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Li, H.; Li, W.X.; Ding, S.W. Induction and suppression of RNA silencing by an animal virus. Science 2002, 296, 1319–1321. [Google Scholar] [CrossRef] [Green Version]
  78. Aliyari, R.; Wu, Q.; Li, H.W.; Wang, X.H.; Li, F.; Green, L.D.; Han, C.S.; Li, W.X.; Ding, S.W. Mechanism of induction and suppression of antiviral immunity directed by virus-derived small RNAs in Drosophila. Cell Host Microbe 2008, 4, 387–397. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  79. Nayak, A.; Berry, B.; Tassetto, M.; Kunitomi, M.; Acevedo, A.; Deng, C.; Krutchinsky, A.; Gross, J.; Antoniewski, C.; Andino, R. Cricket paralysis virus antagonizes Argonaute 2 to modulate antiviral defense in Drosophila. Nat. Struct. Mol. Biol. 2010, 17, 547–554. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  80. Singh, G.; Popli, S.; Hari, Y.; Malhotra, P.; Mukherjee, S.; Bhatnagar, R.K. Suppression of RNA silencing by Flock house virus B2 protein is mediated through its interaction with the PAZ domain of Dicer. FASEB J. 2009, 23, 1845–1857. [Google Scholar] [CrossRef]
  81. van Mierlo, J.T.; Bronkhorst, A.W.; Overheul, G.J.; Sadanandan, S.A.; Ekstrom, J.O.; Heestermans, M.; Hultmark, D.; Antoniewski, C.; van Rij, R.P. Convergent evolution of argonaute-2 slicer antagonism in two distinct insect RNA viruses. PLoS Pathog. 2012, 8, e1002872. [Google Scholar] [CrossRef]
  82. Karagkouni, D.; Paraskevopoulou, M.D.; Chatzopoulos, S.; Vlachos, I.S.; Tastsoglou, S.; Kanellos, I.; Papadimitriou, D.; Kavakiotis, I.; Maniou, S.; Skoufos, G.; et al. DIANA-TarBase v8: A decade-long collection of experimentally supported miRNA-gene interactions. Nucleic Acids Res. 2018, 46, D239–D245. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Skalsky, R.L.; Corcoran, D.L.; Gottwein, E.; Frank, C.L.; Kang, D.; Hafner, M.; Nusbaum, J.D.; Feederle, R.; Delecluse, H.J.; Luftig, M.A.; et al. The viral and cellular microRNA targetome in lymphoblastoid cell lines. PLoS Pathog. 2012, 8, e1002484. [Google Scholar] [CrossRef] [PubMed]
  84. Haecker, I.; Gay, L.A.; Yang, Y.; Hu, J.; Morse, A.M.; McIntyre, L.M.; Renne, R. Ago HITS-CLIP expands understanding of Kaposi’s sarcoma-associated herpesvirus miRNA function in primary effusion lymphomas. PLoS Pathog. 2012, 8, e1002884. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Moon, I.Y.; Choi, J.H.; Chung, J.W.; Jang, E.S.; Jeong, S.H.; Kim, J.W. MicroRNA20 induces methylation of hepatitis B virus covalently closed circular DNA in human hepatoma cells. Mol. Med. Rep. 2019, 20, 2285–2293. [Google Scholar] [CrossRef] [Green Version]
  86. Eckenfelder, A.; Segeral, E.; Pinzon, N.; Ulveling, D.; Amadori, C.; Charpentier, M.; Nidelet, S.; Concordet, J.P.; Zagury, J.F.; Paillart, J.C.; et al. Argonaute proteins regulate HIV-1 multiply spliced RNA and viral production in a Dicer independent manner. Nucleic Acids Res. 2017, 45, 4158–4173. [Google Scholar] [CrossRef] [Green Version]
  87. Jopling, C.L.; Yi, M.; Lancaster, A.M.; Lemon, S.M.; Sarnow, P. Modulation of hepatitis C virus RNA abundance by a liver-specific MicroRNA. Science 2005, 309, 1577–1581. [Google Scholar] [CrossRef] [Green Version]
  88. Parameswaran, P.; Sklan, E.; Wilkins, C.; Burgon, T.; Samuel, M.A.; Lu, R.; Ansel, K.M.; Heissmeyer, V.; Einav, S.; Jackson, W.; et al. Six RNA viruses and forty-one hosts: Viral small RNAs and modulation of small RNA repertoires in vertebrate and invertebrate systems. PLoS Pathog. 2010, 6, e1000764. [Google Scholar] [CrossRef] [Green Version]
  89. Weng, K.F.; Hung, C.T.; Hsieh, P.T.; Li, M.L.; Chen, G.W.; Kung, Y.A.; Huang, P.N.; Kuo, R.L.; Chen, L.L.; Lin, J.Y.; et al. A cytoplasmic RNA virus generates functional viral small RNAs and regulates viral IRES activity in mammalian cells. Nucleic Acids Res. 2014, 42, 12789–12805. [Google Scholar] [CrossRef]
  90. Kennedy, E.M.; Whisnant, A.W.; Kornepati, A.V.; Marshall, J.B.; Bogerd, H.P.; Cullen, B.R. Production of functional small interfering RNAs by an amino-terminal deletion mutant of human Dicer. Proc. Natl. Acad. Sci. USA 2015, 112, E6945–E6954. [Google Scholar] [CrossRef] [Green Version]
  91. Umbach, J.L.; Cullen, B.R. The role of RNAi and microRNAs in animal virus replication and antiviral immunity. Genes Dev. 2009, 23, 1151–1164. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  92. Samir, M.; Vaas, L.A.; Pessler, F. MicroRNAs in the Host Response to Viral Infections of Veterinary Importance. Front. Vet. Sci. 2016, 3, 86. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Murchison, E.P.; Partridge, J.F.; Tam, O.H.; Cheloufi, S.; Hannon, G.J. Characterization of Dicer-deficient murine embryonic stem cells. Proc. Natl. Acad. Sci. USA 2005, 102, 12135–12140. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Billy, E.; Brondani, V.; Zhang, H.; Muller, U.; Filipowicz, W. Specific interference with gene expression induced by long, double-stranded RNA in mouse embryonal teratocarcinoma cell lines. Proc. Natl. Acad. Sci. USA 2001, 98, 14428–14433. [Google Scholar] [CrossRef] [Green Version]
  95. Maillard, P.V.; Ciaudo, C.; Marchais, A.; Li, Y.; Jay, F.; Ding, S.W.; Voinnet, O. Antiviral RNA interference in mammalian cells. Science 2013, 342, 235–238. [Google Scholar] [CrossRef] [Green Version]
  96. Eggenberger, J.; Blanco-Melo, D.; Panis, M.; Brennand, K.J.; tenOever, B.R. Type I interferon response impairs differentiation potential of pluripotent stem cells. Proc. Natl. Acad. Sci. USA 2019, 116, 1384–1393. [Google Scholar] [CrossRef] [Green Version]
  97. Li, Y.; Lu, J.; Han, Y.; Fan, X.; Ding, S.W. RNA interference functions as an antiviral immunity mechanism in mammals. Science 2013, 342, 231–234. [Google Scholar] [CrossRef] [Green Version]
  98. Qiu, Y.; Xu, Y.; Zhang, Y.; Zhou, H.; Deng, Y.Q.; Li, X.F.; Miao, M.; Zhang, Q.; Zhong, B.; Hu, Y.; et al. Human Virus-Derived Small RNAs Can Confer Antiviral Immunity in Mammals. Immunity 2017, 46, 992–1004. [Google Scholar] [CrossRef] [Green Version]
  99. Wang, S.; Sun, X.; Yi, C.; Zhang, D.; Lin, X.; Sun, X.; Chen, H.; Jin, M. AGO2 Negatively Regulates Type I Interferon Signaling Pathway by Competition Binding IRF3 with CBP/p300. Front. Cell. Infect. Microbiol. 2017, 7, 195. [Google Scholar] [CrossRef]
  100. Matskevich, A.A.; Moelling, K. Dicer is involved in protection against influenza A virus infection. J. Gen. Virol. 2007, 88, 2627–2635. [Google Scholar] [CrossRef]
  101. Casseb, S.M.; Simith, D.B.; Melo, K.F.; Mendonca, M.H.; Santos, A.C.; Carvalho, V.L.; Cruz, A.C.; Vasconcelos, P.F. Drosha, DGCR8, and Dicer mRNAs are down-regulated in human cells infected with dengue virus 4, and play a role in viral pathogenesis. Genet. Mol. Res. 2016, 15. [Google Scholar] [CrossRef] [PubMed]
  102. Hassan, T.; McKiernan, P.J.; McElvaney, N.G.; Cryan, S.A.; Greene, C.M. Therapeutic modulation of miRNA for the treatment of proinflammatory lung diseases. Expert Rev. Anti-Infect. Ther. 2012, 10, 359–368. [Google Scholar] [CrossRef] [PubMed]
  103. Foster, P.S.; Plank, M.; Collison, A.; Tay, H.L.; Kaiko, G.E.; Li, J.; Johnston, S.L.; Hansbro, P.M.; Kumar, R.K.; Yang, M.; et al. The emerging role of microRNAs in regulating immune and inflammatory responses in the lung. Immunol. Rev. 2013, 253, 198–215. [Google Scholar] [CrossRef] [PubMed]
  104. Globinska, A.; Pawelczyk, M.; Kowalski, M.L. MicroRNAs and the immune response to respiratory virus infections. Expert Rev. Clin. Immunol. 2014, 10, 963–971. [Google Scholar] [CrossRef]
  105. Tahamtan, A.; Tavakoli-Yaraki, M.; Rygiel, T.P.; Mokhtari-Azad, T.; Salimi, V. Effects of cannabinoids and their receptors on viral infections. J. Med. Virol. 2016, 88, 1–12. [Google Scholar] [CrossRef]
  106. Salimi, V.; Hennus, M.P.; Mokhtari-Azad, T.; Shokri, F.; Janssen, R.; Hodemaekers, H.M.; Rygiel, T.P.; Coenjaerts, F.E.; Meyaard, L.; Bont, L. Opioid receptors control viral replication in the airways. Crit. Care Med. 2013, 41, 205–214. [Google Scholar] [CrossRef]
  107. Cui, L.; Wang, H.; Ji, Y.; Yang, J.; Xu, S.; Huang, X.; Wang, Z.; Qin, L.; Tien, P.; Zhou, X.; et al. The Nucleocapsid Protein of Coronaviruses Acts as a Viral Suppressor of RNA Silencing in Mammalian Cells. J. Virol. 2015, 89, 9029–9043. [Google Scholar] [CrossRef] [Green Version]
  108. Adiliaghdam, F.; Basavappa, M.; Saunders, T.L.; Harjanto, D.; Prior, J.T.; Cronkite, D.A.; Papavasiliou, N.; Jeffrey, K.L. A Requirement for Argonaute 4 in Mammalian Antiviral Defense. Cell Rep. 2020, 30, 1690–1701. [Google Scholar] [CrossRef] [Green Version]
  109. Tokiyoshi, E.; Watanabe, M.; Inoue, N.; Hidaka, Y.; Iwatani, Y. Polymorphisms and expression of genes encoding Argonautes 1 and 2 in autoimmune thyroid diseases. Autoimmunity 2018, 51, 35–42. [Google Scholar] [CrossRef]
  110. Li, G.; You, D.; Ma, J. The Role of Autoimmunity in the Pathogenesis of Sudden Sensorineural Hearing Loss. Neural Plast. 2018, 2018, 7691473. [Google Scholar] [CrossRef]
  111. Han, S.Y.; Kim, S.; Shin, D.H.; Cho, J.H.; Nam, S.I. The Expression of AGO2 and DGCR8 in Idiopathic Sudden Sensorineural Hearing Loss. Clin. Exp. Otorhinolaryngol. 2014, 7, 269–274. [Google Scholar] [CrossRef] [PubMed]
  112. Sibony, M.; Abdullah, M.; Greenfield, L.; Raju, D.; Wu, T.; Rodrigues, D.M.; Galindo-Mata, E.; Mascarenhas, H.; Philpott, D.J.; Silverberg, M.S.; et al. Microbial Disruption of Autophagy Alters Expression of the RISC Component AGO2, a Critical Regulator of the miRNA Silencing Pathway. Inflamm. Bowel Dis. 2015, 21, 2778–2786. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  113. Sethi, A.; Kulkarni, N.; Sonar, S.; Lal, G. Role of miRNAs in CD4 T cell plasticity during inflammation and tolerance. Front. Genet. 2013, 4, 8. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  114. Lewkowicz, P.; Cwiklinska, H.; Mycko, M.P.; Cichalewska, M.; Domowicz, M.; Lewkowicz, N.; Jurewicz, A.; Selmaj, K.W. Dysregulated RNA-Induced Silencing Complex (RISC) Assembly within CNS Corresponds with Abnormal miRNA Expression during Autoimmune Demyelination. J. Neurosci. Off. J. Soc. Neurosci. 2015, 35, 7521–7537. [Google Scholar] [CrossRef] [Green Version]
  115. Smibert, P.; Yang, J.S.; Azzam, G.; Liu, J.L.; Lai, E.C. Homeostatic control of Argonaute stability by microRNA availability. Nat. Struct. Mol. Biol. 2013, 20, 789–795. [Google Scholar] [CrossRef]
  116. Treadwell, E.L.; Alspaugh, M.A.; Sharp, G.C. Characterization of a new antigen-antibody system (Su) in patients with systemic lupus erythematosus. Arthritis Rheum. 1984, 27, 1263–1271. [Google Scholar] [CrossRef]
  117. Jakymiw, A.; Lian, S.; Eystathioy, T.; Li, S.; Satoh, M.; Hamel, J.C.; Fritzler, M.J.; Chan, E.K. Disruption of GW bodies impairs mammalian RNA interference. Nat. Cell Biol. 2005, 7, 1267–1274. [Google Scholar] [CrossRef]
  118. Jakymiw, A.; Ikeda, K.; Fritzler, M.J.; Reeves, W.H.; Satoh, M.; Chan, E.K. Autoimmune targeting of key components of RNA interference. Arthritis Res. Ther. 2006, 8, R87. [Google Scholar] [CrossRef] [Green Version]
  119. Satoh, M.; Reeves, W.H. Induction of lupus-associated autoantibodies in BALB/c mice by intraperitoneal injection of pristane. J. Exp. Med. 1994, 180, 2341–2346. [Google Scholar] [CrossRef] [Green Version]
  120. Bloch, D.B.; Nobre, R.A.; Yang, W.H. GW/P-bodies and autoimmune disease. Adv. Exp. Med. Biol. 2013, 768, 61–70. [Google Scholar] [CrossRef]
  121. Wei, K.; Wu, L.; Chen, Y.; Lin, Y.; Wang, Y.; Liu, X.; Xie, D. Argonaute protein as a linker to command center of physiological processes. Chin. J. Cancer Res. 2013, 25, 430–441. [Google Scholar] [CrossRef] [PubMed]
  122. Fritzler, M.J.; Pauls, J.D.; Kinsella, T.D.; Bowen, T.J. Antinuclear, anticytoplasmic, and anti-Sjogren’s syndrome antigen A (SS-A/Ro) antibodies in female blood donors. Clin. Immunol. Immunopathol. 1985, 36, 120–128. [Google Scholar] [CrossRef]
  123. Ceribelli, A.; Yao, B.; Dominguez-Gutierrez, P.R.; Nahid, M.A.; Satoh, M.; Chan, E.K. MicroRNAs in systemic rheumatic diseases. Arthritis Res. Ther. 2011, 13, 229. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  124. Onodera, H. A new precipitating antibody to the microsomal fraction in patients with connective tissue diseases. Okayama Igakkai Zasshi (J. Okayama Med Assoc.) 1986, 98, 747–758. [Google Scholar] [CrossRef] [Green Version]
  125. Vazquez-Del Mercado, M.; Sanchez-Orozco, L.V.; Pauley, B.A.; Chan, J.Y.; Chan, E.K.; Panduro, A.; Maldonado Gonzalez, M.; Jimenez-Luevanos, M.A.; Martin-Marquez, B.T.; Palafox-Sanchez, C.A.; et al. Autoantibodies to a miRNA-binding protein Argonaute2 (Su antigen) in patients with hepatitis C virus infection. Clin. Exp. Rheumatol. 2010, 28, 842–848. [Google Scholar] [PubMed]
  126. Conger, A.K.; Martin, E.C.; Yan, T.J.; Rhodes, L.V.; Hoang, V.T.; La, J.; Anbalagan, M.; Burks, H.E.; Rowan, B.G.; Nephew, K.P.; et al. Argonaute 2 Expression Correlates with a Luminal B Breast Cancer Subtype and Induces Estrogen Receptor Alpha Isoform Variation. Non-Coding RNA 2016, 2, 8. [Google Scholar] [CrossRef] [Green Version]
  127. Voller, D.; Reinders, J.; Meister, G.; Bosserhoff, A.K. Strong reduction of AGO2 expression in melanoma and cellular consequences. Br. J. Cancer 2013, 109, 3116–3124. [Google Scholar] [CrossRef] [Green Version]
  128. Di Leva, G.; Croce, C.M. The Role of microRNAs in the Tumorigenesis of Ovarian Cancer. Front. Oncol. 2013, 3, 153. [Google Scholar] [CrossRef] [Green Version]
  129. Yang, F.Q.; Huang, J.H.; Liu, M.; Yang, F.P.; Li, W.; Wang, G.C.; Che, J.P.; Zheng, J.H. Argonaute 2 is up-regulated in tissues of urothelial carcinoma of bladder. Int. J. Clin. Exp. Pathol. 2014, 7, 340–347. [Google Scholar]
  130. Bian, X.J.; Zhang, G.M.; Gu, C.Y.; Cai, Y.; Wang, C.F.; Shen, Y.J.; Zhu, Y.; Zhang, H.L.; Dai, B.; Ye, D.W. Down-regulation of Dicer and Ago2 is associated with cell proliferation and apoptosis in prostate cancer. Tumour Biol. 2014, 35, 11571–11578. [Google Scholar] [CrossRef]
  131. Kim, M.S.; Oh, J.E.; Kim, Y.R.; Park, S.W.; Kang, M.R.; Kim, S.S.; Ahn, C.H.; Yoo, N.J.; Lee, S.H. Somatic mutations and losses of expression of microRNA regulation-related genes AGO2 and TNRC6A in gastric and colorectal cancers. J. Pathol. 2010, 221, 139–146. [Google Scholar] [CrossRef] [PubMed]
  132. Lee, S.S.; Min, H.; Ha, J.Y.; Kim, B.H.; Choi, M.S.; Kim, S. Dysregulation of the miRNA biogenesis components DICER1, DROSHA, DGCR8 and AGO2 in clear cell renal cell carcinoma in both a Korean cohort and the cancer genome atlas kidney clear cell carcinoma cohort. Oncol. Lett. 2019, 18, 4337–4345. [Google Scholar] [CrossRef] [PubMed]
  133. Masciarelli, S.; Quaranta, R.; Iosue, I.; Colotti, G.; Padula, F.; Varchi, G.; Fazi, F.; Del Rio, A. A small-molecule targeting the microRNA binding domain of argonaute 2 improves the retinoic acid differentiation response of the acute promyelocytic leukemia cell line NB4. ACS Chem. Biol. 2014, 9, 1674–1679. [Google Scholar] [CrossRef] [PubMed]
  134. Iosue, I.; Quaranta, R.; Masciarelli, S.; Fontemaggi, G.; Batassa, E.M.; Bertolami, C.; Ottone, T.; Divona, M.; Salvatori, B.; Padula, F.; et al. Argonaute 2 sustains the gene expression program driving human monocytic differentiation of acute myeloid leukemia cells. Cell Death Dis. 2013, 4, e926. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  135. De Santa, F.; Iosue, I.; Del Rio, A.; Fazi, F. microRNA biogenesis pathway as a therapeutic target for human disease and cancer. Curr. Pharm. Des. 2013, 19, 745–764. [Google Scholar] [CrossRef] [PubMed]
  136. Xu, Q.; Hou, Y.X.; Langlais, P.; Erickson, P.; Zhu, J.; Shi, C.X.; Luo, M.; Zhu, Y.; Xu, Y.; Mandarino, L.J.; et al. Expression of the cereblon binding protein argonaute 2 plays an important role for multiple myeloma cell growth and survival. BMC Cancer 2016, 16, 297. [Google Scholar] [CrossRef] [Green Version]
  137. Mostafavi, S.; Ray, D.; Warde-Farley, D.; Grouios, C.; Morris, Q. GeneMANIA: A real-time multiple association network integration algorithm for predicting gene function. Genome Biol. 2008, 9 (Suppl. 1), S4. [Google Scholar] [CrossRef] [Green Version]
  138. Liu, T.; Zhang, H.; Fang, J.; Yang, Z.; Chen, R.; Wang, Y.; Zhao, X.; Ge, S.; Yu, J.; Huang, J. AGO2 phosphorylation by c-Src kinase promotes tumorigenesis. Neoplasia 2020, 22, 129–141. [Google Scholar] [CrossRef]
  139. Zhang, X.; Graves, P.; Zeng, Y. Overexpression of human Argonaute2 inhibits cell and tumor growth. Biochim. Biophys. Acta 2013, 1830, 2553–2561. [Google Scholar] [CrossRef]
  140. Sharma, N.R.; Wang, X.; Majerciak, V.; Ajiro, M.; Kruhlak, M.; Meyers, C.; Zheng, Z.M. Cell Type- and Tissue Context-dependent Nuclear Distribution of Human Ago2. J. Biol. Chem. 2016, 291, 2302–2309. [Google Scholar] [CrossRef] [Green Version]
  141. Zhang, J.; Fan, X.S.; Wang, C.X.; Liu, B.; Li, Q.; Zhou, X.J. Up-regulation of Ago2 expression in gastric carcinoma. Med. Oncol. 2013, 30, 628. [Google Scholar] [CrossRef] [PubMed]
  142. Chen, Y.; Yang, F.; Fang, E.; Xiao, W.; Mei, H.; Li, H.; Li, D.; Song, H.; Wang, J.; Hong, M.; et al. Circular RNA circAGO2 drives cancer progression through facilitating HuR-repressed functions of AGO2-miRNA complexes. Cell Death Differ. 2019, 26, 1346–1364. [Google Scholar] [CrossRef] [PubMed]
  143. Wang, M.; Ren, D.; Guo, W.; Wang, Z.; Huang, S.; Du, H.; Song, L.; Peng, X. Loss of miR-100 enhances migration, invasion, epithelial-mesenchymal transition and stemness properties in prostate cancer cells through targeting Argonaute 2. Int. J. Oncol. 2014, 45, 362–372. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  144. Yoo, N.J.; Hur, S.Y.; Kim, M.S.; Lee, J.Y.; Lee, S.H. Immunohistochemical analysis of RNA-induced silencing complex-related proteins AGO2 and TNRC6A in prostate and esophageal cancers. APMIS 2010, 118, 271–276. [Google Scholar] [CrossRef]
  145. Zhang, Z.; Zhang, G.; Kong, C.; Bi, J.; Gong, D.; Yu, X.; Shi, D.; Zhan, B.; Ye, P. EIF2C, Dicer, and Drosha are up-regulated along tumor progression and associated with poor prognosis in bladder carcinoma. Tumour Biol. 2015, 36, 5071–5079. [Google Scholar] [CrossRef]
  146. Rabien, A.; Ratert, N.; Hogner, A.; Erbersdobler, A.; Jung, K.; Ecke, T.H. Diagnostic and Prognostic Potential of MicroRNA Maturation Regulators Drosha, AGO1 and AGO2 in Urothelial Carcinomas of the Bladder. Int. J. Mol. Sci. 2018, 19, 1622. [Google Scholar] [CrossRef] [Green Version]
  147. Zhou, Y.; Chen, L.; Barlogie, B.; Stephens, O.; Wu, X.; Williams, D.R.; Cartron, M.A.; van Rhee, F.; Nair, B.; Waheed, S.; et al. High-risk myeloma is associated with global elevation of miRNAs and overexpression of EIF2C2/AGO2. Proc. Natl. Acad. Sci. USA 2010, 107, 7904–7909. [Google Scholar] [CrossRef] [Green Version]
  148. Kwon, S.Y.; Lee, J.H.; Kim, B.; Park, J.W.; Kwon, T.K.; Kang, S.H.; Kim, S. Complexity in regulation of microRNA machinery components in invasive breast carcinoma. Pathol. Oncol. Res. 2014, 20, 697–705. [Google Scholar] [CrossRef]
  149. Casey, M.C.; Prakash, A.; Holian, E.; McGuire, A.; Kalinina, O.; Shalaby, A.; Curran, C.; Webber, M.; Callagy, G.; Bourke, E.; et al. Quantifying Argonaute 2 (Ago2) expression to stratify breast cancer. BMC Cancer 2019, 19, 712. [Google Scholar] [CrossRef]
  150. Cheng, C.; Fu, X.; Alves, P.; Gerstein, M. mRNA expression profiles show differential regulatory effects of microRNAs between estrogen receptor-positive and estrogen receptor-negative breast cancer. Genome Biol. 2009, 10, R90. [Google Scholar] [CrossRef] [Green Version]
  151. Vaksman, O.; Hetland, T.E.; Trope, C.G.; Reich, R.; Davidson, B. Argonaute, Dicer, and Drosha are up-regulated along tumor progression in serous ovarian carcinoma. Hum. Pathol. 2012, 43, 2062–2069. [Google Scholar] [CrossRef] [PubMed]
  152. Wang, X.; Ivan, M.; Hawkins, S.M. The role of MicroRNA molecules and MicroRNA-regulating machinery in the pathogenesis and progression of epithelial ovarian cancer. Gynecol. Oncol. 2017, 147, 481–487. [Google Scholar] [CrossRef] [PubMed]
  153. Liao, C.C.; Ho, M.Y.; Liang, S.M.; Liang, C.M. Autophagic degradation of SQSTM1 inhibits ovarian cancer motility by decreasing DICER1 and AGO2 to induce MIRLET7A-3P. Autophagy 2018, 14, 2065–2082. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  154. Kim, J.K.; Jin, X.; Ham, S.W.; Lee, S.Y.; Seo, S.; Kim, S.C.; Kim, S.H.; Kim, H. IRF7 promotes glioma cell invasion by inhibiting AGO2 expression. Tumour Biol. 2015, 36, 5561–5569. [Google Scholar] [CrossRef]
  155. Feng, B.; Hu, P.; Lu, S.J.; Chen, J.B.; Ge, R.L. Increased argonaute 2 expression in gliomas and its association with tumor progression and poor prognosis. Asian Pac. J. Cancer Prev. 2014, 15, 4079–4083. [Google Scholar] [CrossRef] [Green Version]
  156. Cheng, N.; Li, Y.; Han, Z.G. Argonaute2 promotes tumor metastasis by way of up-regulating focal adhesion kinase expression in hepatocellular carcinoma. Hepatology 2013, 57, 1906–1918. [Google Scholar] [CrossRef]
  157. Ye, Z.; Jin, H.; Qian, Q. Argonaute 2: A Novel Rising Star in Cancer Research. J. Cancer 2015, 6, 877–882. [Google Scholar] [CrossRef] [Green Version]
  158. Zhang, J.; Jin, H.; Liu, H.; Lv, S.; Wang, B.; Wang, R.; Liu, H.; Ding, M.; Yang, Y.; Li, L.; et al. MiRNA-99a directly regulates AGO2 through translational repression in hepatocellular carcinoma. Oncogenesis 2014, 3, e97. [Google Scholar] [CrossRef] [Green Version]
  159. Zhang, H.; Sheng, C.; Yin, Y.; Wen, S.; Yang, G.; Cheng, Z.; Zhu, Q. PABPC1 interacts with AGO2 and is responsible for the microRNA mediated gene silencing in high grade hepatocellular carcinoma. Cancer Lett. 2015, 367, 49–57. [Google Scholar] [CrossRef]
  160. Völler, D.; Linck, L.; Bruckmann, A.; Hauptmann, J.; Deutzmann, R.; Meister, G.; Bosserhoff, A.K. Argonaute Family Protein Expression in Normal Tissue and Cancer Entities. PLoS ONE 2016, 11, e0161165. [Google Scholar] [CrossRef] [Green Version]
  161. Sand, M.; Skrygan, M.; Georgas, D.; Arenz, C.; Gambichler, T.; Sand, D.; Altmeyer, P.; Bechara, F.G. Expression levels of the microRNA maturing microprocessor complex component DGCR8 and the RNA-induced silencing complex (RISC) components argonaute-1, argonaute-2, PACT, TARBP1, and TARBP2 in epithelial skin cancer. Mol. Carcinog. 2012, 51, 916–922. [Google Scholar] [CrossRef] [PubMed]
  162. Guo, J.; Lv, J.; Liu, M.; Tang, H. miR-346 Up-regulates Argonaute 2 (AGO2) Protein Expression to Augment the Activity of Other MicroRNAs (miRNAs) and Contributes to Cervical Cancer Cell Malignancy. J. Biol. Chem. 2015, 290, 30342–30350. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  163. Li, W.; Liu, M.; Feng, Y.; Xu, Y.F.; Che, J.P.; Wang, G.C.; Zheng, J.H.; Gao, H.J. Evaluation of Argonaute protein as a predictive marker for human clear cell renal cell carcinoma. Int. J. Clin. Exp. Pathol. 2013, 6, 1086–1094. [Google Scholar] [PubMed]
  164. Li, L.; Yu, C.; Gao, H.; Li, Y. Argonaute proteins: Potential biomarkers for human colon cancer. BMC Cancer 2010, 10, 38. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  165. Papachristou, D.J.; Korpetinou, A.; Giannopoulou, E.; Antonacopoulou, A.G.; Papadaki, H.; Grivas, P.; Scopa, C.D.; Kalofonos, H.P. Expression of the ribonucleases Drosha, Dicer, and Ago2 in colorectal carcinomas. Virchows Arch. Int. J. Pathol. 2011, 459, 431–440. [Google Scholar] [CrossRef]
  166. Li, P.; Meng, J.; Zhai, Y.; Zhang, H.; Yu, L.; Wang, Z.; Zhang, X.; Cao, P.; Chen, X.; Han, Y.; et al. Argonaute 2 and nasopharyngeal carcinoma: A genetic association study and functional analysis. BMC Cancer 2015, 15, 862. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  167. Zhang, Y.; Wang, B.; Chen, X.; Li, W.; Dong, P. AGO2 involves the malignant phenotypes and FAK/PI3K/AKT signaling pathway in hypopharyngeal-derived FaDu cells. Oncotarget 2017, 8, 54735–54746. [Google Scholar] [CrossRef] [Green Version]
  168. Piroozian, F.; Bagheri Varkiyani, H.; Koolivand, M.; Ansari, M.; Afsa, M.; AtashAbParvar, A.; MalekZadeh, K. The impact of variations in transcription of DICER and AGO2 on exacerbation of childhood B-cell lineage acute lymphoblastic leukaemia. Int. J. Exp. Pathol. 2019, 100, 184–191. [Google Scholar] [CrossRef]
  169. Chang, S.S.; Smith, I.; Glazer, C.; Hennessey, P.; Califano, J.A. EIF2C is overexpressed and amplified in head and neck squamous cell carcinoma. ORL J. Otorhinolaryngol. Relat. Spec. 2010, 72, 337–343. [Google Scholar] [CrossRef]
  170. Papachristou, D.J.; Sklirou, E.; Corradi, D.; Grassani, C.; Kontogeorgakos, V.; Rao, U.N. Immunohistochemical analysis of the endoribonucleases Drosha, Dicer and Ago2 in smooth muscle tumours of soft tissues. Histopathology 2012, 60, E28–E36. [Google Scholar] [CrossRef]
  171. Zhao, X.; Guan, J.L. Focal adhesion kinase and its signaling pathways in cell migration and angiogenesis. Adv. Drug Deliv. Rev. 2011, 63, 610–615. [Google Scholar] [CrossRef] [Green Version]
  172. Winter, J.; Diederichs, S. Argonaute proteins regulate microRNA stability: Increased microRNA abundance by Argonaute proteins is due to microRNA stabilization. RNA Biol. 2011, 8, 1149–1157. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  173. Gyorffy, B.; Lanczky, A.; Eklund, A.C.; Denkert, C.; Budczies, J.; Li, Q.; Szallasi, Z. An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1809 patients. Breast Cancer Res. Treat. 2010, 123, 725–731. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  174. Mihaly, Z.; Kormos, M.; Lanczky, A.; Dank, M.; Budczies, J.; Szasz, M.A.; Gyorffy, B. A meta-analysis of gene expression-based biomarkers predicting outcome after tamoxifen treatment in breast cancer. Breast Cancer Res. Treat. 2013, 140, 219–232. [Google Scholar] [CrossRef] [PubMed]
  175. Sung, H.; Jeon, S.; Lee, K.M.; Han, S.; Song, M.; Choi, J.Y.; Park, S.K.; Yoo, K.Y.; Noh, D.Y.; Ahn, S.H.; et al. Common genetic polymorphisms of microRNA biogenesis pathway genes and breast cancer survival. BMC Cancer 2012, 12, 195. [Google Scholar] [CrossRef] [Green Version]
  176. Horikawa, Y.; Wood, C.G.; Yang, H.; Zhao, H.; Ye, Y.; Gu, J.; Lin, J.; Habuchi, T.; Wu, X. Single nucleotide polymorphisms of microRNA machinery genes modify the risk of renal cell carcinoma. Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res. 2008, 14, 7956–7962. [Google Scholar] [CrossRef] [Green Version]
  177. Guo, Z.; Shu, Y.; Zhou, H.; Zhang, W. Identification of diagnostic and prognostic biomarkers for cancer: Focusing on genetic variations in microRNA regulatory pathways (Review). Mol. Med. Rep. 2016, 13, 1943–1952. [Google Scholar] [CrossRef]
  178. Bermisheva, M.A.; Takhirova, Z.R.; Gilyazova, I.R.; Khusnutdinova, E.K. MicroRNA Biogenesis Pathway Gene Polymorphisms Are Associated with Breast Cancer Risk. Russ. J. Genet. 2018, 54, 568–575. [Google Scholar] [CrossRef]
  179. Song, X.; Zhong, H.; Wu, Q.; Wang, M.; Zhou, J.; Zhou, Y.; Lu, X.; Ying, B. Association between SNPs in microRNA machinery genes and gastric cancer susceptibility, invasion, and metastasis in Chinese Han population. Oncotarget 2017, 8, 86435–86446. [Google Scholar] [CrossRef]
  180. Kershaw, M.H.; Westwood, J.A.; Parker, L.L.; Wang, G.; Eshhar, Z.; Mavroukakis, S.A.; White, D.E.; Wunderlich, J.R.; Canevari, S.; Rogers-Freezer, L.; et al. A phase I study on adoptive immunotherapy using gene-modified T cells for ovarian cancer. Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res. 2006, 12, 6106–6115. [Google Scholar] [CrossRef] [Green Version]
  181. Fang, X.; Yin, Z.; Li, X.; Xia, L.; Zhou, B. Polymorphisms in GEMIN4 and AGO1 Genes Are Associated with the Risk of Lung Cancer: A Case-Control Study in Chinese Female Non-Smokers. Int. J. Environ. Res. Public Health 2016, 13, 939. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  182. Dobrijevic, Z.; Matijasevic, S.; Savic-Pavicevic, D.; Brajuskovic, G. Association between genetic variants in genes encoding Argonaute proteins and cancer risk: A meta-analysis. Pathol. Res. Pract. 2020, 216, 152906. [Google Scholar] [CrossRef] [PubMed]
  183. Shen, J.; Xia, W.; Khotskaya, Y.B.; Huo, L.; Nakanishi, K.; Lim, S.O.; Du, Y.; Wang, Y.; Chang, W.C.; Chen, C.H.; et al. EGFR modulates microRNA maturation in response to hypoxia through phosphorylation of AGO2. Nature 2013, 497, 383–387. [Google Scholar] [CrossRef] [PubMed]
  184. Wu, C.; So, J.; Davis-Dusenbery, B.N.; Qi, H.H.; Bloch, D.B.; Shi, Y.; Lagna, G.; Hata, A. Hypoxia potentiates microRNA-mediated gene silencing through posttranslational modification of Argonaute2. Mol. Cell. Biol. 2011, 31, 4760–4774. [Google Scholar] [CrossRef] [Green Version]
  185. Chen, Z.; Lai, T.C.; Jan, Y.H.; Lin, F.M.; Wang, W.C.; Xiao, H.; Wang, Y.T.; Sun, W.; Cui, X.; Li, Y.S.; et al. Hypoxia-responsive miRNAs target argonaute 1 to promote angiogenesis. J. Clin. Investig. 2013, 123, 1057–1067. [Google Scholar] [CrossRef] [Green Version]
  186. Francia, S.; Michelini, F.; Saxena, A.; Tang, D.; de Hoon, M.; Anelli, V.; Mione, M.; Carninci, P.; d’Adda di Fagagna, F. Site-specific DICER and DROSHA RNA products control the DNA-damage response. Nature 2012, 488, 231–235. [Google Scholar] [CrossRef]
  187. Wei, W.; Ba, Z.; Gao, M.; Wu, Y.; Ma, Y.; Amiard, S.; White, C.I.; Rendtlew Danielsen, J.M.; Yang, Y.G.; Qi, Y. A role for small RNAs in DNA double-strand break repair. Cell 2012, 149, 101–112. [Google Scholar] [CrossRef] [Green Version]
  188. San Filippo, J.; Sung, P.; Klein, H. Mechanism of eukaryotic homologous recombination. Annu. Rev. Biochem. 2008, 77, 229–257. [Google Scholar] [CrossRef] [Green Version]
  189. Gao, M.; Wei, W.; Li, M.M.; Wu, Y.S.; Ba, Z.; Jin, K.X.; Li, M.M.; Liao, Y.Q.; Adhikari, S.; Chong, Z.; et al. Ago2 facilitates Rad51 recruitment and DNA double-strand break repair by homologous recombination. Cell Res. 2014, 24, 532–541. [Google Scholar] [CrossRef]
  190. Kim, N.W.; Piatyszek, M.A.; Prowse, K.R.; Harley, C.B.; West, M.D.; Ho, P.L.; Coviello, G.M.; Wright, W.E.; Weinrich, S.L.; Shay, J.W. Specific association of human telomerase activity with immortal cells and cancer. Science 1994, 266, 2011–2015. [Google Scholar] [CrossRef]
  191. Shay, J.W.; Bacchetti, S. A survey of telomerase activity in human cancer. Eur. J. Cancer 1997, 33, 787–791. [Google Scholar] [CrossRef]
  192. Laudadio, I.; Orso, F.; Azzalin, G.; Calabro, C.; Berardinelli, F.; Coluzzi, E.; Gioiosa, S.; Taverna, D.; Sgura, A.; Carissimi, C.; et al. AGO2 promotes telomerase activity and interaction between the telomerase components TERT and TERC. EMBO Rep. 2019, 20. [Google Scholar] [CrossRef] [PubMed]
  193. Bandiera, S.; Ruberg, S.; Girard, M.; Cagnard, N.; Hanein, S.; Chretien, D.; Munnich, A.; Lyonnet, S.; Henrion-Caude, A. Nuclear outsourcing of RNA interference components to human mitochondria. PLoS ONE 2011, 6, e20746. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  194. Hock, J.; Weinmann, L.; Ender, C.; Rudel, S.; Kremmer, E.; Raabe, M.; Urlaub, H.; Meister, G. Proteomic and functional analysis of Argonaute-containing mRNA-protein complexes in human cells. EMBO Rep. 2007, 8, 1052–1060. [Google Scholar] [CrossRef] [Green Version]
  195. Jagannathan, R.; Thapa, D.; Nichols, C.E.; Shepherd, D.L.; Stricker, J.C.; Croston, T.L.; Baseler, W.A.; Lewis, S.E.; Martinez, I.; Hollander, J.M. Translational Regulation of the Mitochondrial Genome Following Redistribution of Mitochondrial MicroRNA in the Diabetic Heart. Circ. Cardiovasc. Genet. 2015, 8, 785–802. [Google Scholar] [CrossRef] [Green Version]
  196. Barrey, E.; Saint-Auret, G.; Bonnamy, B.; Damas, D.; Boyer, O.; Gidrol, X. Pre-microRNA and mature microRNA in human mitochondria. PLoS ONE 2011, 6, e20220. [Google Scholar] [CrossRef]
  197. Bian, Z.; Li, L.M.; Tang, R.; Hou, D.X.; Chen, X.; Zhang, C.Y.; Zen, K. Identification of mouse liver mitochondria-associated miRNAs and their potential biological functions. Cell Res. 2010, 20, 1076–1078. [Google Scholar] [CrossRef] [Green Version]
  198. Das, S.; Ferlito, M.; Kent, O.A.; Fox-Talbot, K.; Wang, R.; Liu, D.; Raghavachari, N.; Yang, Y.; Wheelan, S.J.; Murphy, E.; et al. Nuclear miRNA regulates the mitochondrial genome in the heart. Circ. Res. 2012, 110, 1596–1603. [Google Scholar] [CrossRef] [Green Version]
  199. Kren, B.T.; Wong, P.Y.; Sarver, A.; Zhang, X.; Zeng, Y.; Steer, C.J. MicroRNAs identified in highly purified liver-derived mitochondria may play a role in apoptosis. RNA Biol. 2009, 6, 65–72. [Google Scholar] [CrossRef] [Green Version]
  200. Sripada, L.; Tomar, D.; Prajapati, P.; Singh, R.; Singh, A.K.; Singh, R. Systematic analysis of small RNAs associated with human mitochondria by deep sequencing: Detailed analysis of mitochondrial associated miRNA. PLoS ONE 2012, 7, e44873. [Google Scholar] [CrossRef]
  201. Jeandard, D.; Smirnova, A.; Tarassov, I.; Barrey, E.; Smirnov, A. Import of Non-Coding RNAs into Human Mitochondria: A Critical Review and Emerging Approaches. Cells 2019, 8, 286. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  202. Pare, J.M.; Tahbaz, N.; Lopez-Orozco, J.; LaPointe, P.; Lasko, P.; Hobman, T.C. Hsp90 regulates the function of argonaute 2 and its recruitment to stress granules and P-bodies. Mol. Biol. Cell 2009, 20, 3273–3284. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  203. Meseguer, S.; Navarro-Gonzalez, C.; Panadero, J.; Villarroya, M.; Boutoual, R.; Sanchez-Alcazar, J.A.; Armengod, M.E. The MELAS mutation m.3243A > G alters the expression of mitochondrial tRNA fragments. Biochim. Biophys. Acta. Mol. Cell Res. 2019, 1866, 1433–1449. [Google Scholar] [CrossRef] [PubMed]
  204. Burroughs, A.M.; Ando, Y.; de Hoon, M.J.; Tomaru, Y.; Suzuki, H.; Hayashizaki, Y.; Daub, C.O. Deep-sequencing of human Argonaute-associated small RNAs provides insight into miRNA sorting and reveals Argonaute association with RNA fragments of diverse origin. RNA Biol. 2011, 8, 158–177. [Google Scholar] [CrossRef] [PubMed]
  205. Kuscu, C.; Kumar, P.; Kiran, M.; Su, Z.; Malik, A.; Dutta, A. tRNA fragments (tRFs) guide Ago to regulate gene expression post-transcriptionally in a Dicer-independent manner. RNA 2018, 24, 1093–1105. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  206. Deng, J.; Ptashkin, R.N.; Chen, Y.; Cheng, Z.; Liu, G.; Phan, T.; Deng, X.; Zhou, J.; Lee, I.; Lee, Y.S.; et al. Respiratory Syncytial Virus Utilizes a tRNA Fragment to Suppress Antiviral Responses Through a Novel Targeting Mechanism. Mol. Ther. J. Am. Soc. Gene Ther. 2015, 23, 1622–1629. [Google Scholar] [CrossRef] [Green Version]
  207. Maute, R.L.; Schneider, C.; Sumazin, P.; Holmes, A.; Califano, A.; Basso, K.; Dalla-Favera, R. tRNA-derived microRNA modulates proliferation and the DNA damage response and is down-regulated in B cell lymphoma. Proc. Natl. Acad. Sci. USA 2013, 110, 1404–1409. [Google Scholar] [CrossRef] [Green Version]
  208. Kanai, A. Molecular Biology of the Transfer RNA Revisited; Frontiers E-books: Lausanne, Switzerland, 2014. [Google Scholar]
  209. Pederson, T. Regulatory RNAs derived from transfer RNA? RNA 2010, 16, 1865–1869. [Google Scholar] [CrossRef] [Green Version]
  210. Madiraju, A.K.; Erion, D.M.; Rahimi, Y.; Zhang, X.M.; Braddock, D.T.; Albright, R.A.; Prigaro, B.J.; Wood, J.L.; Bhanot, S.; MacDonald, M.J.; et al. Metformin suppresses gluconeogenesis by inhibiting mitochondrial glycerophosphate dehydrogenase. Nature 2014, 510, 542–546. [Google Scholar] [CrossRef] [Green Version]
  211. Yang, L.; Li, P.; Fu, S.; Calay, E.S.; Hotamisligil, G.S. Defective hepatic autophagy in obesity promotes ER stress and causes insulin resistance. Cell Metab. 2010, 11, 467–478. [Google Scholar] [CrossRef] [Green Version]
  212. Zhang, C.; Seo, J.; Murakami, K.; Salem, E.S.B.; Bernhard, E.; Borra, V.J.; Choi, K.; Yuan, C.L.; Chan, C.C.; Chen, X.; et al. Hepatic Ago2-mediated RNA silencing controls energy metabolism linked to AMPK activation and obesity-associated pathophysiology. Nat. Commun. 2018, 9, 3658. [Google Scholar] [CrossRef] [PubMed]
  213. Soufi, F.G.; Zonouzi, A.A.P.; Eftekhar, E.; Kamali, K.; Chegeni, S.A.; Zonouzi, A.P. The expression of Drosha, DGCR8, Dicer and Ago-2 genes are upregulated in human umbilical vein endothelial cells under hyperglycemic condition. Endocr. Regul. 2018, 52, 123–127. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  214. Yan, X.; Wang, Z.; Bishop, C.A.; Weitkunat, K.; Feng, X.; Tarbier, M.; Luo, J.; Friedlander, M.R.; Burkhardt, R.; Klaus, S.; et al. Control of hepatic gluconeogenesis by Argonaute2. Mol. Metab. 2018, 18, 15–24. [Google Scholar] [CrossRef]
  215. Poy, M.N.; Hausser, J.; Trajkovski, M.; Braun, M.; Collins, S.; Rorsman, P.; Zavolan, M.; Stoffel, M. miR-375 maintains normal pancreatic alpha- and beta-cell mass. Proc. Natl. Acad. Sci. USA 2009, 106, 5813–5818. [Google Scholar] [CrossRef] [Green Version]
  216. Tattikota, S.G.; Rathjen, T.; McAnulty, S.J.; Wessels, H.H.; Akerman, I.; van de Bunt, M.; Hausser, J.; Esguerra, J.L.; Musahl, A.; Pandey, A.K.; et al. Argonaute2 mediates compensatory expansion of the pancreatic beta cell. Cell Metab. 2014, 19, 122–134. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  217. Tattikota, S.G.; Rathjen, T.; Hausser, J.; Khedkar, A.; Kabra, U.D.; Pandey, V.; Sury, M.; Wessels, H.H.; Mollet, I.G.; Eliasson, L.; et al. miR-184 Regulates Pancreatic beta-Cell Function According to Glucose Metabolism. J. Biol. Chem. 2015, 290, 20284–20294. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  218. Volk, N.; Pape, J.C.; Engel, M.; Zannas, A.S.; Cattane, N.; Cattaneo, A.; Binder, E.B.; Chen, A. Amygdalar MicroRNA-15a Is Essential for Coping with Chronic Stress. Cell Rep. 2016, 17, 1882–1891. [Google Scholar] [CrossRef] [Green Version]
  219. Blake, D.D.; Weathers, F.W.; Nagy, L.M.; Kaloupek, D.G.; Gusman, F.D.; Charney, D.S.; Keane, T.M. The development of a Clinician-Administered PTSD Scale. J. Trauma. Stress 1995, 8, 75–90. [Google Scholar] [CrossRef]
  220. Heinzelmann, M.; Gill, J. Epigenetic Mechanisms Shape the Biological Response to Trauma and Risk for PTSD: A Critical Review. Nurs. Res. Pract. 2013, 2013, 417010. [Google Scholar] [CrossRef] [Green Version]
  221. Bam, M.; Yang, X.; Zumbrun, E.E.; Ginsberg, J.P.; Leyden, Q.; Zhang, J.; Nagarkatti, P.S.; Nagarkatti, M. Decreased AGO2 and DCR1 in PBMCs from War Veterans with PTSD leads to diminished miRNA resulting in elevated inflammation. Transl. Psychiatry 2017, 7, e1222. [Google Scholar] [CrossRef]
  222. Schaefer, A.; Im, H.I.; Veno, M.T.; Fowler, C.D.; Min, A.; Intrator, A.; Kjems, J.; Kenny, P.J.; O′Carroll, D.; Greengard, P. Argonaute 2 in dopamine 2 receptor-expressing neurons regulates cocaine addiction. J. Exp. Med. 2010, 207, 1843–1851. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  223. Bolduc, F.V.; Bell, K.; Cox, H.; Broadie, K.S.; Tully, T. Excess protein synthesis in Drosophila fragile X mutants impairs long-term memory. Nat. Neurosci. 2008, 11, 1143–1145. [Google Scholar] [CrossRef] [PubMed]
  224. Kelleher, R.J., 3rd; Bear, M.F. The autistic neuron: Troubled translation? Cell 2008, 135, 401–406. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  225. Liu-Yesucevitz, L.; Bassell, G.J.; Gitler, A.D.; Hart, A.C.; Klann, E.; Richter, J.D.; Warren, S.T.; Wolozin, B. Local RNA translation at the synapse and in disease. J. Neurosci. Off. J. Soc. Neurosci. 2011, 31, 16086–16093. [Google Scholar] [CrossRef] [Green Version]
  226. Hagerman, R.J.; Berry-Kravis, E.; Kaufmann, W.E.; Ono, M.Y.; Tartaglia, N.; Lachiewicz, A.; Kronk, R.; Delahunty, C.; Hessl, D.; Visootsak, J.; et al. Advances in the treatment of fragile X syndrome. Pediatrics 2009, 123, 378–390. [Google Scholar] [CrossRef] [Green Version]
  227. van Kouwenhove, M.; Kedde, M.; Agami, R. MicroRNA regulation by RNA-binding proteins and its implications for cancer. Nat. Rev. Cancer 2011, 11, 644–656. [Google Scholar] [CrossRef]
  228. Gregersen, L.H.; Schueler, M.; Munschauer, M.; Mastrobuoni, G.; Chen, W.; Kempa, S.; Dieterich, C.; Landthaler, M. MOV10 Is a 5′ to 3′ RNA helicase contributing to UPF1 mRNA target degradation by translocation along 3′ UTRs. Mol. Cell 2014, 54, 573–585. [Google Scholar] [CrossRef] [Green Version]
  229. Kenny, P.J.; Zhou, H.; Kim, M.; Skariah, G.; Khetani, R.S.; Drnevich, J.; Arcila, M.L.; Kosik, K.S.; Ceman, S. MOV10 and FMRP regulate AGO2 association with microRNA recognition elements. Cell Rep. 2014, 9, 1729–1741. [Google Scholar] [CrossRef] [Green Version]
  230. Sakaguchi, A.; Yamashita, Y.; Ishii, T.; Uehara, T.; Kosaki, K.; Takahashi, T.; Takenouchi, T. Further evidence of a causal association between AGO1, a critical regulator of microRNA formation, and intellectual disability/autism spectrum disorder. Eur. J. Med. Genet. 2019, 62, 103537. [Google Scholar] [CrossRef]
  231. Pircs, K.; Petri, R.; Madsen, S.; Brattas, P.L.; Vuono, R.; Ottosson, D.R.; St-Amour, I.; Hersbach, B.A.; Matusiak-Bruckner, M.; Lundh, S.H.; et al. Huntingtin Aggregation Impairs Autophagy, Leading to Argonaute-2 Accumulation and Global MicroRNA Dysregulation. Cell Rep. 2018, 24, 1397–1406. [Google Scholar] [CrossRef] [Green Version]
  232. Vandoorne, T.; De Bock, K.; Van Den Bosch, L. Energy metabolism in ALS: An underappreciated opportunity? Acta Neuropathol. 2018, 135, 489–509. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  233. Maniataki, E.; Mourelatos, Z. Human mitochondrial tRNAMet is exported to the cytoplasm and associates with the Argonaute 2 protein. RNA 2005, 11, 849–852. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  234. Vargas, J.N.; Kar, A.N.; Kowalak, J.A.; Gale, J.R.; Aschrafi, A.; Chen, C.Y.; Gioio, A.E.; Kaplan, B.B. Axonal localization and mitochondrial association of precursor microRNA 338. Cell. Mol. Life Sci. 2016, 73, 4327–4340. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  235. Wang, W.X.; Visavadiya, N.P.; Pandya, J.D.; Nelson, P.T.; Sullivan, P.G.; Springer, J.E. Mitochondria-associated microRNAs in rat hippocampus following traumatic brain injury. Exp. Neurol. 2015, 265, 84–93. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  236. Gershoni-Emek, N.; Altman, T.; Ionescu, A.; Costa, C.J.; Gradus-Pery, T.; Willis, D.E.; Perlson, E. Localization of RNAi Machinery to Axonal Branch Points and Growth Cones Is Facilitated by Mitochondria and Is Disrupted in ALS. Front. Mol. Neurosci. 2018, 11, 311. [Google Scholar] [CrossRef]
  237. Kanekura, K.; Yagi, T.; Cammack, A.J.; Mahadevan, J.; Kuroda, M.; Harms, M.B.; Miller, T.M.; Urano, F. Poly-dipeptides encoded by the C9ORF72 repeats block global protein translation. Hum. Mol. Genet. 2016, 25, 1803–1813. [Google Scholar] [CrossRef] [Green Version]
  238. Russo, A.; Scardigli, R.; La Regina, F.; Murray, M.E.; Romano, N.; Dickson, D.W.; Wolozin, B.; Cattaneo, A.; Ceci, M. Increased cytoplasmic TDP-43 reduces global protein synthesis by interacting with RACK1 on polyribosomes. Hum. Mol. Genet. 2017, 26, 1407–1418. [Google Scholar] [CrossRef] [Green Version]
  239. Cestra, G.; Rossi, S.; Di Salvio, M.; Cozzolino, M. Control of mRNA Translation in ALS Proteinopathy. Front. Mol. Neurosci. 2017, 10, 85. [Google Scholar] [CrossRef]
  240. Tom Dieck, S.; Hanus, C.; Schuman, E.M. SnapShot: Local protein translation in dendrites. Neuron 2014, 81, 958. [Google Scholar] [CrossRef] [Green Version]
  241. Rotem, N.; Magen, I.; Ionescu, A.; Gershoni-Emek, N.; Altman, T.; Costa, C.J.; Gradus, T.; Pasmanik-Chor, M.; Willis, D.E.; Ben-Dov, I.Z.; et al. ALS Along the Axons—Expression of Coding and Noncoding RNA Differs in Axons of ALS models. Sci. Rep. 2017, 7, 44500. [Google Scholar] [CrossRef] [Green Version]
  242. Zappulo, A.; van den Bruck, D.; Ciolli Mattioli, C. RNA localization is a key determinant of neurite-enriched proteome. Nat. Commun. 2017, 8, 583. [Google Scholar] [CrossRef] [PubMed]
  243. Peredo, J.; Villace, P.; Ortin, J.; de Lucas, S. Human Staufen1 associates to miRNAs involved in neuronal cell differentiation and is required for correct dendritic formation. PLoS ONE 2014, 9, e113704. [Google Scholar] [CrossRef] [PubMed]
  244. Gershoni-Emek, N.; Chein, M.; Gluska, S.; Perlson, E. Amyotrophic lateral sclerosis as a spatiotemporal mislocalization disease: Location, location, location. Int. Rev. Cell Mol. Biol. 2015, 315, 23–71. [Google Scholar] [CrossRef] [PubMed]
  245. Walsh, M.J.; Cooper-Knock, J.; Dodd, J.E.; Stopford, M.J.; Mihaylov, S.R.; Kirby, J.; Shaw, P.J.; Hautbergue, G.M. Invited review: Decoding the pathophysiological mechanisms that underlie RNA dysregulation in neurodegenerative disorders: A review of the current state of the art. Neuropathol. Appl. Neurobiol. 2015, 41, 109–134. [Google Scholar] [CrossRef]
  246. Kapur, M.; Monaghan, C.E.; Ackerman, S.L. Regulation of mRNA Translation in Neurons-A Matter of Life and Death. Neuron 2017, 96, 616–637. [Google Scholar] [CrossRef] [Green Version]
  247. Lotti, F.; Maggi, M. Ultrasound of the male genital tract in relation to male reproductive health. Hum. Reprod. Update 2015, 21, 56–83. [Google Scholar] [CrossRef] [Green Version]
  248. Conine, C.C.; Batista, P.J.; Gu, W.; Claycomb, J.M.; Chaves, D.A.; Shirayama, M.; Mello, C.C. Argonautes ALG-3 and ALG-4 are required for spermatogenesis-specific 26G-RNAs and thermotolerant sperm in Caenorhabditis elegans. Proc. Natl. Acad. Sci. USA 2010, 107, 3588–3593. [Google Scholar] [CrossRef] [Green Version]
  249. Han, T.; Manoharan, A.P.; Harkins, T.T.; Bouffard, P.; Fitzpatrick, C.; Chu, D.S.; Thierry-Mieg, D.; Thierry-Mieg, J.; Kim, J.K. 26G endo-siRNAs regulate spermatogenic and zygotic gene expression in Caenorhabditis elegans. Proc. Natl. Acad. Sci. USA 2009, 106, 18674–18679. [Google Scholar] [CrossRef] [Green Version]
  250. Conine, C.C.; Moresco, J.J.; Gu, W.; Shirayama, M.; Conte, D., Jr.; Yates, J.R., 3rd; Mello, C.C. Argonautes promote male fertility and provide a paternal memory of germline gene expression in C. elegans. Cell 2013, 155, 1532–1544. [Google Scholar] [CrossRef] [Green Version]
  251. van Wolfswinkel, J.C.; Ketting, R.F. The role of small non-coding RNAs in genome stability and chromatin organization. J. Cell Sci. 2010, 123, 1825–1839. [Google Scholar] [CrossRef] [Green Version]
  252. Modzelewski, A.J.; Hilz, S.; Crate, E.A.; Schweidenback, C.T.; Fogarty, E.A.; Grenier, J.K.; Freire, R.; Cohen, P.E.; Grimson, A. Dgcr8 and Dicer are essential for sex chromosome integrity during meiosis in males. J. Cell Sci. 2015, 128, 2314–2327. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  253. Maine, E.M. Meiotic silencing in Caenorhabditis elegans. Int. Rev. Cell Mol. Biol. 2010, 282, 91–134. [Google Scholar] [CrossRef] [PubMed]
  254. Yan, J.; Zhang, H.; Liu, Y.; Zhao, F.; Zhu, S.; Xie, C.; Tang, T.S.; Guo, C. Germline deletion of huntingtin causes male infertility and arrested spermiogenesis in mice. J. Cell Sci. 2016, 129, 492–501. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  255. Savas, J.N.; Makusky, A.; Ottosen, S.; Baillat, D.; Then, F.; Krainc, D.; Shiekhattar, R.; Markey, S.P.; Tanese, N. Huntington′s disease protein contributes to RNA-mediated gene silencing through association with Argonaute and P bodies. Proc. Natl. Acad. Sci. USA 2008, 105, 10820–10825. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  256. Kaneda, M.; Tang, F.; O′Carroll, D.; Lao, K.; Surani, M.A. Essential role for Argonaute2 protein in mouse oogenesis. Epigenetics Chromatin 2009, 2, 9. [Google Scholar] [CrossRef] [Green Version]
  257. Stein, P.; Rozhkov, N.V.; Li, F.; Cardenas, F.L.; Davydenko, O.; Vandivier, L.E.; Gregory, B.D.; Hannon, G.J.; Schultz, R.M. Essential Role for endogenous siRNAs during meiosis in mouse oocytes. PLoS Genet. 2015, 11, e1005013. [Google Scholar] [CrossRef] [Green Version]
  258. Claycomb, J.M.; Batista, P.J.; Pang, K.M.; Gu, W.; Vasale, J.J.; van Wolfswinkel, J.C.; Chaves, D.A.; Shirayama, M.; Mitani, S.; Ketting, R.F.; et al. The Argonaute CSR-1 and its 22G-RNA cofactors are required for holocentric chromosome segregation. Cell 2009, 139, 123–134. [Google Scholar] [CrossRef] [Green Version]
  259. Yigit, E.; Batista, P.J.; Bei, Y.; Pang, K.M.; Chen, C.C.; Tolia, N.H.; Joshua-Tor, L.; Mitani, S.; Simard, M.J.; Mello, C.C. Analysis of the C. elegans Argonaute family reveals that distinct Argonautes act sequentially during RNAi. Cell 2006, 127, 747–757. [Google Scholar] [CrossRef] [Green Version]
  260. Gerson-Gurwitz, A.; Wang, S.; Sathe, S.; Green, R.; Yeo, G.W.; Oegema, K.; Desai, A. A Small RNA-Catalytic Argonaute Pathway Tunes Germline Transcript Levels to Ensure Embryonic Divisions. Cell 2016, 165, 396–409. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Comparative analysis of the human Argonaute (AGO) (AGO1–AGO4) protein-subfamily members. (A) Protein sequence similarity via global alignment. (B) Protein secondary structure via global alignment. (C) Coding-Sequence (CDS) similarity via global alignment. The alignments in (A) and (C) were yielded by the EMBL EMBOSS Needle with default settings [26]. The alignments in (B) were calculated using BioPython package with −2 as open gap penalty score, −1 as a gap extension penalty score, −1 as a mismatch score, and 1 as a matching score. Protein sequences were retrieved from ENSEMBL [27]. Protein-secondary structures (DSSP entries) were retrieved from RCSB PDB [28]. Plots were generated with Matplotlib and Seaborn Python packages. (D) Domains of AGO1–4 with annotations for mutations [■ = mutation]: G199S, P700A, and post-transcriptional modifications [● = hydroxylation (h), ▶ = phosphorylation (p)]: hP700, pS387, pT529, pT749, and pT393, respectively. Domain information was retrieved from Pfam database [29]. Plots were generated with Matplotlib and Seaborn Python packages. (E) A superposition of the AGO 1–4 tertiary structures in New Cartoon representation, as displayed by VMD software [30]. These structural models are refined PDB data from the PDB-REDO databank [31], 4KRE [AGO1, yellow colored] [20], 4Z4D [AGO2, cyan colored] [32], 5VM9 [AGO3, pink colored] [16], and 6OON [AGO4, green colored] [33]. The structural data were further processed using Schrödinger Maestro Suite (Schrödinger Release 2020-2, [34]) by removing existing water molecules and ligands and filling missing loops and side chains [Prime] [35], calculating the protonation states on physiological pH 7.4 [PROPKA] [36,37], and minimizing the free energy of the resulting structures with the OPLS3 force field [38].
Figure 1. Comparative analysis of the human Argonaute (AGO) (AGO1–AGO4) protein-subfamily members. (A) Protein sequence similarity via global alignment. (B) Protein secondary structure via global alignment. (C) Coding-Sequence (CDS) similarity via global alignment. The alignments in (A) and (C) were yielded by the EMBL EMBOSS Needle with default settings [26]. The alignments in (B) were calculated using BioPython package with −2 as open gap penalty score, −1 as a gap extension penalty score, −1 as a mismatch score, and 1 as a matching score. Protein sequences were retrieved from ENSEMBL [27]. Protein-secondary structures (DSSP entries) were retrieved from RCSB PDB [28]. Plots were generated with Matplotlib and Seaborn Python packages. (D) Domains of AGO1–4 with annotations for mutations [■ = mutation]: G199S, P700A, and post-transcriptional modifications [● = hydroxylation (h), ▶ = phosphorylation (p)]: hP700, pS387, pT529, pT749, and pT393, respectively. Domain information was retrieved from Pfam database [29]. Plots were generated with Matplotlib and Seaborn Python packages. (E) A superposition of the AGO 1–4 tertiary structures in New Cartoon representation, as displayed by VMD software [30]. These structural models are refined PDB data from the PDB-REDO databank [31], 4KRE [AGO1, yellow colored] [20], 4Z4D [AGO2, cyan colored] [32], 5VM9 [AGO3, pink colored] [16], and 6OON [AGO4, green colored] [33]. The structural data were further processed using Schrödinger Maestro Suite (Schrödinger Release 2020-2, [34]) by removing existing water molecules and ligands and filling missing loops and side chains [Prime] [35], calculating the protonation states on physiological pH 7.4 [PROPKA] [36,37], and minimizing the free energy of the resulting structures with the OPLS3 force field [38].
Ijms 21 04007 g001
Figure 2. Post-transcriptional gene silencing during viral infections. Viruses that enter into eukaryotic hosts are able to produce their own miRNAs (viral miRNAs), which affects the immune system or aids their latency phase by reducing their expression. Viral double-stranded RNAs are cleaved by the dsRNA-specific Dicer nuclease, which is a discrete family of PRRs, to generate virus-derived small RNAs (viRNAs) and, hence, RNAi-silencing activation. To counterbalance viRNAs production, viruses express intrinsic Viral Suppressors of RNA silencing (VSRs) factors in order to protect themselves from Dicer-mediated cleavage and/or impede viRNAs loading onto AGO proteins. Based on the analysis of published datasets [82,83,84], human Ago-gene expression can be regulated by viRNAs derived from EBV and Kaposi’s Sarcoma-associated Herpes virus (KSHV).
Figure 2. Post-transcriptional gene silencing during viral infections. Viruses that enter into eukaryotic hosts are able to produce their own miRNAs (viral miRNAs), which affects the immune system or aids their latency phase by reducing their expression. Viral double-stranded RNAs are cleaved by the dsRNA-specific Dicer nuclease, which is a discrete family of PRRs, to generate virus-derived small RNAs (viRNAs) and, hence, RNAi-silencing activation. To counterbalance viRNAs production, viruses express intrinsic Viral Suppressors of RNA silencing (VSRs) factors in order to protect themselves from Dicer-mediated cleavage and/or impede viRNAs loading onto AGO proteins. Based on the analysis of published datasets [82,83,84], human Ago-gene expression can be regulated by viRNAs derived from EBV and Kaposi’s Sarcoma-associated Herpes virus (KSHV).
Ijms 21 04007 g002
Figure 3. Deregulation of AGO-expression patterns in human cancer. The red and blue arrows indicate the increase and decrease of AGO-expression levels, respectively. The width of each arrow denotes the number of studies in which deregulated AGO contents were identified. Elevated AGO levels were reported in neuroblastoma, head and neck squamous, nasopharyngeal, hypopharyngeal, hepatocellular, colon, cervical, bladder, smooth muscle carcinomas, and myeloma. Reduced AGO levels were detected in lung adenocarcinoma and in acute lymphoblastic leukemia. Conflicting results, demonstrating both upregulation and downregulation of AGO expression, were described in breast, prostate, ovarian, gastric, and renal carcinomas as well as in glioma and melanoma.
Figure 3. Deregulation of AGO-expression patterns in human cancer. The red and blue arrows indicate the increase and decrease of AGO-expression levels, respectively. The width of each arrow denotes the number of studies in which deregulated AGO contents were identified. Elevated AGO levels were reported in neuroblastoma, head and neck squamous, nasopharyngeal, hypopharyngeal, hepatocellular, colon, cervical, bladder, smooth muscle carcinomas, and myeloma. Reduced AGO levels were detected in lung adenocarcinoma and in acute lymphoblastic leukemia. Conflicting results, demonstrating both upregulation and downregulation of AGO expression, were described in breast, prostate, ovarian, gastric, and renal carcinomas as well as in glioma and melanoma.
Ijms 21 04007 g003
Figure 4. Argonaute (AGO) engagement in human neuropathology. Graphical overview of the AGO-associated pathologies in neurodegenerative diseases, such as ALS, HD, and in neuro-dependent diseases such as cocaine addiction and stress-related psychiatric disorders.
Figure 4. Argonaute (AGO) engagement in human neuropathology. Graphical overview of the AGO-associated pathologies in neurodegenerative diseases, such as ALS, HD, and in neuro-dependent diseases such as cocaine addiction and stress-related psychiatric disorders.
Ijms 21 04007 g004
Table 1. AGO-deregulation profiling in human malignancies.
Table 1. AGO-deregulation profiling in human malignancies.
Cancer TypeAGO Type per CitationDeregulation (Up or Down)References
Gastric cancerAGO2upregulated[141]
AGO2downregulated[131]
AGO2upregulated[142]
Prostate cancerAGO2upregulated[141]
AGO2upregulated[143]
AGO2downregulated[130]
AGO2upregulated[144]
NeuroblastomaAGO2upregulated[141]
Bladder cancerAGO2upregulated[129]
AGO2upregulated[145]
AGO1upregulated[146]
AGO2upregulated
MyelomaAGO2upregulated[147]
Breast cancerAGO2downregulated[148]
AGO2upregulated[126]
AGO2upregulated[149]
AGO2downregulated[148]
AGO1
AGO2
upregulated[150]
Ovarian cancerAGO1
AGO2
upregulated[151]
AGO1
AGO2
upregulated[152]
AGO2upregulated[153]
AGO2downregulated[154]
AGO2upregulated[155]
Hepatocellular carcinomaAGO2upregulated[156]
AGO2upregulated[157]
AGO2upregulated[158]
AGO2upregulated[159]
MelanomaAGO1downregulated[160]
AGO2downregulated
AGO3downregulated
AGO4downregulated
AGO2downregulated[127]
AGO1
AGO2
upregulated[161]
Cervical cancerAGO2upregulated[162]
Renal carcinomaAGO1
AGO2
upregulated[163]
AGO2downregulated[132]
Colon cancerAGO2upregulated[142]
AGO1upregulated[164]
AGO2upregulated
AGO3upregulated
AGO4upregulated
AGO2upregulated[165]
Nasopharyngeal carcinoma (NPC)AGO2upregulated (specific genetic variants)[166]
Hypopharyngeal cancerAGO2upregulated[167]
Lung cancerAGO2downregulated[139]
Acute lymphoblastic leukemia (ALL)AGO2downregulated[168]
Head and neck squamous cell carcinomaAGO2upregulated[169]
Smooth muscle tumorsAGO2upregulated[170]
GliomaAGO2upregulated[155]
AGO2downregulated[154]

Share and Cite

MDPI and ACS Style

Pantazopoulou, V.I.; Georgiou, S.; Kakoulidis, P.; Giannakopoulou, S.N.; Tseleni, S.; Stravopodis, D.J.; Anastasiadou, E. From the Argonauts Mythological Sailors to the Argonautes RNA-Silencing Navigators: Their Emerging Roles in Human-Cell Pathologies. Int. J. Mol. Sci. 2020, 21, 4007. https://doi.org/10.3390/ijms21114007

AMA Style

Pantazopoulou VI, Georgiou S, Kakoulidis P, Giannakopoulou SN, Tseleni S, Stravopodis DJ, Anastasiadou E. From the Argonauts Mythological Sailors to the Argonautes RNA-Silencing Navigators: Their Emerging Roles in Human-Cell Pathologies. International Journal of Molecular Sciences. 2020; 21(11):4007. https://doi.org/10.3390/ijms21114007

Chicago/Turabian Style

Pantazopoulou, Vasiliki I., Stella Georgiou, Panos Kakoulidis, Stavroula N. Giannakopoulou, Sofia Tseleni, Dimitrios J. Stravopodis, and Ema Anastasiadou. 2020. "From the Argonauts Mythological Sailors to the Argonautes RNA-Silencing Navigators: Their Emerging Roles in Human-Cell Pathologies" International Journal of Molecular Sciences 21, no. 11: 4007. https://doi.org/10.3390/ijms21114007

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop