Next Article in Journal
Characterization of Conyza bonariensis Allelochemicals against Broomrape Weeds
Previous Article in Journal
Targeted and Non-Targeted HPLC Analysis of Coffee-Based Products as Effective Tools for Evaluating the Coffee Authenticity
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Molecules
Volume 27
Issue 21
10.3390/molecules27217420
molecules-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effect of Sex Steroids and PGF2α on the Expression of Their Receptors and Decorin in Bovine Caruncular Epithelial Cells in Early–Mid Pregnancy

by
Monika Jamioł
1,
Magdalena Sozoniuk
2,
Jacek Wawrzykowski
1 and
Marta Kankofer
1,*
1
Department of Biochemistry, Faculty of Veterinary Medicine, University of Life Sciences in Lublin, Akademicka Street 12, 20-033 Lublin, Poland
2
Institute of Plant Genetics, Breeding and Biotechnology, Faculty of Agrobioengineering, University of Life Sciences in Lublin, Akademicka Street 15, 20-950 Lublin, Poland
*
Author to whom correspondence should be addressed.
Molecules 2022, 27(21), 7420; https://doi.org/10.3390/molecules27217420
Submission received: 6 September 2022 / Revised: 23 October 2022 / Accepted: 26 October 2022 / Published: 1 November 2022
(This article belongs to the Topic Proteomics and Metabolomics in Biomedicine)
Browse Figures
Versions Notes

Abstract

:
Changes in the expression of various genes, including pregnancy-associated hormone receptors and extracellular matrix proteins, have been suggested to play a significant role in bovine placental development. This study aimed to examine the influence of sex steroids and PGF2α on decorin (DCN) expression in the epithelial cells of bovine caruncle in early–mid pregnancy in cows. The expression patterns of DCN, PTGFR, PGR and ESR1 were analyzed by RT-qPCR and Western blotting in primary caruncular epithelial cell cultures (PCECC) and placental tissue homogenates derived from the 2nd and 4th months of pregnancy. PCECC were found to express DCN, PTGFR, PGR and ESR1. The intensity of PGR staining was higher in cells derived from the 4th month of pregnancy (p < 0.05). The 17β-estradiol, progesterone and PGF2α have not been shown to affect DCN expression. PGF2α decreased PTGFR expression in cells derived from the 4th month of gestation (p < 0.05). In conclusion, the results of the present preliminary study showed that the expression of the PTGFR, ESR1, PGR and DCN in PCECC does not vary throughout early–mid pregnancy. Further studies should be carried out to observe the relationship between hormonal status and cellular adhesion to determine their importance for properly developing placentation and pregnancy in cows.

Graphical Abstract

1. Introduction

Hormonal interplay and genomic regulation of expression of selected protein molecules, including adhesive proteins, are crucial for an appropriate course of pregnancy in cows. Successful pregnancy relies on appropriate cell adhesion modulated by adhesive proteins during implantation and placentation [1].
Estrogens, mainly estrone (E1) and its sulfate salt (E1S), are among the major steroid hormones produced by the placenta. In comparison to 17β-estradiol produced by the ovaries, the activity of placental E1 is visibly lower. As too-high estrogen levels are unfavorable during pregnancy, unlike progesterone, E1 may be the predominant placental estrogen with a limited estrogenic spectrum that only covers pregnancy needs. Generally, estrogens are responsible for placental growth, differentiation and functioning. Placental estrogens can act locally, since the localisation of their receptors ERα has been recognized in the bovine placenta [2,3]. During the periparturient period in cows, estrogen receptors were observed in endometrial stromal cells, myometrial smooth muscle cells, endometrial surface epithelial cells and glandular epithelial cells [4].
Prostaglandin F2α (PGF2α) has important functions in reproductive events such as ovulation, luteolysis, embryogenesis and implantation, as well as cytokine regulation and cell proliferation [5,6]. In cattle, PGF2α concentrations increase in the endometrium in the first month of gestation [7], confirming its participation in the development of pregnancy. The mechanism of action of prostaglandins is different from that of steroid sex hormones. PGF2α acts through the G-protein-coupled cell membrane receptor PTGFR [8]. It is known that estradiol (E2) stimulates the synthesis of PTGFR and PGF2α synthase in the endometrium and oviduct of ruminants. PGF2α synthesis is indirectly stimulated by the estrogens that upregulate COX-2 expression [9]. However, the specific role of PGF2α and its mechanism of action in developing the placenta remains unclear.
Progesterone (P4) is the essential hormone for the maintenance of bovine pregnancy, since it controls endometrial differentiation, myometrial quiescence, and closure of the cervix, as well as the lack of immunological response [10]. Immunohistochemical localization of progesterone receptors in bovine placenta throughout mid and late gestation has already been described. From day 150 to day 270 of pregnancy, PGR-positive staining was found in the nuclei of caruncular stromal cells and caruncular vascular pericytes of the placentome [2]. A strong immunoreaction for progesterone was noticed in the nuclei of endometrial stromal cells and myometrial smooth muscle cells in the intercaruncular uterine wall of periparturient cows [4].
Appropriate transfer of cell signals requires the presence of receptors which, after binding of ligands, can express their biochemical action [11]. Therefore, the determination of the presence of receptors is crucial for starting a biochemical cascade of reactions leading to the biological answer of hormones to stimuli. Moreover, the hormonal profile during pregnancy reflects cell sensitivity and regulation of biochemical metabolism related to particular stages of pregnancy [12].
Decorin (DCN) plays a significant role during pregnancy, since it is responsible for the structural and functional integrity of the placenta and foetal membranes [13]. Synthesis of DCN, as a protein molecule involved in cell adhesion, is regulated by the genomic action of sex steroids [14,15]. Decorin occurs in the placenta of cows [16,17,18,19], but it is not known what mechanism is responsible for its expression in epithelial cells, which form the interface between the foetal and maternal parts.
Several studies have been carried out on the role of DCN and pregnancy-associated hormones in pregnant cows; however, they were focused mainly on the immunohistochemical and gene expression analyses [2,19,20,21]. Data on the presence of DCN, PGF2α, estrogen and progesterone receptors in epithelial primary cell cultures obtained from the maternal part of the bovine placenta during early–mid pregnancy in cows is missing.
The aim of the study was to assess the potential relationship between the expression of prostaglandin F2α, progesterone and estradiol receptors at the mRNA and protein levels, as well as to examine the influence of sex steroids and PGF2α on DCN expression in the epithelial cells of bovine caruncle in early–mid pregnancy.

2. Results

To select the doses of hormones that do not affect the cell viability, the MTT assay was conducted (Figure 1). None of the concentrations used influenced the activity of mitochondrial energy changes. In the subsequent experiment, the lowest concentrations were selected.
The transcript levels of DCN, ESR1, PGR and PTGFR were determined by RT-qPCR analysis. Amplification efficiency for analysed targets ranged from 101.30% (PGR) to 106.16% (PTGFR). The only exception was DCN, for which a standard curve could not be generated and analysed due to its very low transcript level in the analysed material. Consequently, in subsequent relative quantification, the DCN amplification efficiency was assumed to be 100%. Regression coefficients for standard curves were all above 0.99, whereas slope values oscillated around −3.2 (Supplementary Table S1).
To determine the specificity of the amplification of designed primer pairs, dissociation curves were analysed. The lack of primer–dimers formation and/or unspecific product presence was confirmed by obtaining single peaks on melting curves (Supplementary Figure S1).
Details of the expression of target genes in caruncular epithelial cells exposed to E2, P4, PGF2α or PBS (control) during the 2nd and 4th months of bovine pregnancy were presented as values standing for ΔCq (Supplementary Table S2).
DCN transcripts were detected in all analysed cell cultures except for the M1 cell culture treated with P4, where no amplification was observed. Overall, DCN was noticed to be expressed at a relatively low transcriptional level, with the sample Ct ranging from 29.61 to 36.77 (Figure 2).
No significant differences in its expression were observed under tested conditions. Its transcription upon E2, P4 or PGF2α stimulation remained unchanged in comparison to the control samples (Supplementary Figure S2).
Transcripts of all other genes-of-interest (GOIs)-encoding receptors were detected in all analysed samples. Both ESR1 (Figure 3) and PGR (Figure 4) displayed a similar range of sample Ct values (21.02–29.06 and 22.57–29.98, respectively).
Ct values reported for PTGFR varied greatly depending on the cell culture (Ct value ranged from 19.57 to 35.50), with noticeably higher transcript levels observed in the M5 cell culture. Relative quantification showed a significant decrease (p < 0.05) in PTGFR expression in the cells incubated with PGF2α derived from the 4th month of pregnancy (Figure 5A).
Furthermore, a significantly higher (p < 0.05) transcript level of PTGFR was detected in the 2nd month than in the 4th month of gestation (Figure 5B) when the cells were treated with PGF2α. Other results that were not statistically significant are presented in supplementary Figure S2.
Western blot analysis of cell lysates and homogenates of bovine placentomes was carried out to detect protein receptors for selected hormones. Specific bands for the progesterone receptor (96.5 kDa), estrogen receptor (56.1 kDa) and prostaglandin F2α receptor (40.9 kDa) were detected in examined cell lysates and tissue homogenates (Figure 6).
The original Western blot image is presented in Supplementary Figure S3.

3. Discussion

Studies on the effects of various factors on maternal–foetal connections in bovine placenta require the use of in vitro models. To confirm that cell cultures respond to the action of signalling molecules, it is necessary to verify that the cells express receptors for them.
The present manuscript confirmed not only the presence of receptors of sex steroids and PGF2α but also decorin—which is novel—in early–mid pregnant bovine epithelial cells. PTGFR, PR, ERα and decorin mRNAs were expressed in caruncular epithelial cells derived from the 2nd and 4th months of pregnancy. These results suggest that in pregnant cattle, caruncular epithelial cells in early–mid pregnancy are under the control of progesterone, estradiol and prostaglandin F2α.
The binding of hormones to the receptor is a crucial reaction for the expression of the biological answer of hormones [11]. Receptors are of protein character, and their synthesis is genetically determined, while their regulation is hormonally controlled [22]. In some cases, mRNA presence does not mean protein synthesis [23]. To be sure that gene expression is complete and the presence of mRNA guarantees protein synthesis, the determinations of both products—mRNA and protein—are necessary [24]. This study confirmed that mRNA expression was utilised for appropriate protein synthesis as it was visible in Western blotting both in cell lysates and tissue homogenates.
Hormonal profile during pregnancy reflects different stages of foetal and placental development, as well as appropriate reactions of cells. The culture of cells with the presence of selected hormones may help establish the mechanisms of hormonal actions.
In early pregnancy, PGF2α concentrations increase significantly in the endometrium [6]. Ulbrich et al. (2009) showed that between days 12–15 of gestation, PGF2α concentration in the bovine uterus of cows increases more than 30-fold [25]. As pregnancy progresses, PGF2α levels also increase in foetal fluids. Between 60 and 111 days of gestation, PGF2α levels in the uterine and amniotic fluids were 9.0–11.7 ng/mL and 2.4–5.7 ng/mL, respectively [26].
The literature lacks detailed data on the PGF2α concentration in the plasma of pregnant cows due to the short half-life of the molecule. Moreover, studies on prostaglandin F2α receptor patterns in the bovine placenta are also scarce. In this study, no effect of PGF2α on the expression of its receptor was observed in the 2nd month, which may suggest a decreased sensitivity of cells to this hormone in the earlier stage of pregnancy. In turn, decreased expression of PTGFR under the influence of PGF2α in the 4th month of pregnancy may be the result of a cell feedback response. A similar dependence occurs in the case of the action of progesterone. The continuous exposure of the uterine endometrium to progesterone regulates the expression of these receptors in the epithelium, leading to a reduction in their synthesis in early pregnancy in many mammals, including cows [27]. On the other hand, some studies have shown that there is a positive correlation between bovine PGF2α concentration and the expression of its receptor during the oestrous phase [28,29]. In this study, PTGFR mRNA expression in non-treated cells did not differ significantly between the 2nd and 4th months of pregnancy in caruncular epithelial cells. Similar results obtained at other stages of pregnancy have been observed in the study of Sakumoto et al. (2014). There was no difference in PTGFR expression between the corpus luteum of non-pregnant cows and animals in the 1st–2nd months of pregnancy. However, the prostaglandin F2α receptor mRNA level was increased in the 5th month of pregnancy [30].
Nowadays, it is not fully understood how the levels of steroid hormones, including estrogens, are established in maternal blood during pregnancy in cows. Nevertheless, circulating estrogen concentrations increase during pregnancy, initially slowly after the 2nd month of pregnancy (from day 60 to 80). The first sharp increase in estrogen levels does not begin until around day 100–120. Thereafter, the concentrations continue to rise, but at a more gradual rate, up to the 8th month of gestation. From around day 250 to the end of pregnancy, estrogen levels increase sharply again, peaking around 2–5 days before delivery, and then dropping sharply at term [31]. In the bovine uterine wall around parturition, endometrial epithelial cells revealed more intense estrogen receptor immunostaining compared to endometrial stromal cells [4]. Moreover, Schuler et al. (2002) analyzed the location and distribution of ERα in the placentas of cows within 150–270 days of gestation using immunohistochemistry. According to the results obtained in the caruncular epithelium, the primary antibodies recognizing the C-terminus gave positive nuclear and cytoplasmic signals [2]. Our research focused on the earlier stage of pregnancy. In this study, in caruncular epithelial cells and placental tissues, the primary antibodies recognizing the middle of the sequence gave also positive signals. No changes in staining intensity were observed between the 2nd and 4th months of pregnancy taking into account homogenates of the maternal part of the placenta, however with a tendency to be decreased in the homogenates of the foetal part. Western blotting analyses in tissue homogenates containing different cell types were confirmed by the determinations in epithelial cell lysates stating that these cells exhibit the presence of protein for examined receptors.
Peripheral blood progesterone levels in cows remain relatively constant during pregnancy—in the range of 5–10 ng/mL. In early pregnancy, there is an intense increase in blood progesterone levels. A slight decrease is observed in mid-pregnancy (from day 100 to 180). Around day 200 of pregnancy, progesterone levels rise again, but only slightly, and then they begin to decrease gradually in the 60 days prior to parturition, with a sharp decrease from around day 2 before calving [31,32,33]. In the present study, the antibodies that detect the B form of the progesterone receptor were used. Interestingly, there were no differences in PGR transcript levels in cultured cells between examined time periods, while its protein showed a visually more intense signal in the 4th month of gestation compared to the 2nd month. Moreover, homogenates of placental tissues did not exhibit positive PGR staining at all, which is in line with the results obtained by others. Immunohistochemical analysis of bovine placentomes throughout mid- and late gestation (from the 5th to the 9th month) showed no PGR-positive caruncular epithelial cells, while positive nuclear immunostaining was observed in maternal stromal cells and vascular pericytes. In placentomes from cows at term, casual positive nuclear staining was also noticed in the walls of small caruncular arteries [21]. What is more, in the bovine intercaruncular uterine wall around parturition, the endometrial progesterone receptor protein was not found in the epithelial layer while glands revealed a very weak immunoreaction [4]. The presence of progesterone receptors in epithelial cells in the 2nd and 4th months of pregnancy may suggest that this placental layer responds to progesterone in the early months of pregnancy rather than in the later period.
The presence of decorin (DCN) protein in bovine caruncular epithelial cells in the 2nd and 4th months of pregnancy was previously confirmed by our team [16]. Since the expression of extracellular matrix (ECM) proteins is influenced by progesterone [34,35], we took into consideration the possible impact of selected hormones related to pregnancy on DCN mRNA expression. Our present studies did not reveal any effect of selected hormones on the expression of decorin in the examined period of time. However, it has to be taken into account that the expression of decorin mRNA was at a very low level, which makes it difficult to draw clear conclusions. We hypothesized that the influence of PGF2α and P4 on the anti-adhesive properties of decorin [18] may be related to their influence on decorin expression. Unfortunately, based on the results obtained here, this mechanism cannot be confirmed. The low DCN mRNA expression presented here is in agreement with previously reported findings in cows. According to Guillomot et al. (2014), its expression tended to increase in the endometrial stroma only in the 1st month of gestation and decreased in the 2nd month. Interestingly, the authors did not detect DCN protein in the placentome layers that expressed decorin mRNA [19]. On the other hand, our previous research results showed clearly intense protein bands during the WB analysis [16], although the mRNA level examined here was low. Moreover, in the study of Franczyk et al. (2018), the ELISA test confirmed quantitatively the presence of DCN protein in tissue homogenates in early–mid bovine placenta. Indeed, the test showed that the concentration of decorin during pregnancy was significantly lower in the maternal part of the placenta (67.54 pg/mg protein) compared with the foetal part (177.54 pg/mg protein) [17]. All of these together demonstrate the complexity of controlling the synthesis and degradation of not only protein but also mRNA. The amount of each mRNA to be expressed is actually controlled and determined by the cell, which depends on the cell status at any given time. The exact mechanisms underlying ECM metabolism, including the network of signalling pathways, need to be clarified.
In conclusion, the results of the present preliminary study showed that the expression of PTGFR, ESR1, PGR and DCN in the bovine caruncular epithelial cells does not vary over the course of early–mid pregnancy. Further studies should be carried out to observe the relationship between hormonal status and cellular adhesion to determine their importance for properly developing placentation and pregnancy in cows.

4. Materials and Methods

4.1. Cell Cultures

Four primary cell cultures originating from bovine caruncles (two from the 2nd month of pregnancy, and two from the 4th month of pregnancy) were used to examine target genes expression. These were the same cells used in a parallel experiment described in detail earlier by Sozoniuk et al. (2022) [36]. The cells were cultured in a medium containing DMEM/F-12 50:50 (15-090-CVR, Corning, Stryków, Poland), 10% FBS (35-079-CV, Corning), 100 IU/mL penicillin/100 μg/mL streptomycin (30-002-CI, Corning) and 2 mM L-glutamine (G7513, Sigma-Aldrich, Poznań, Poland) as described previously [16,18].

4.2. Tissue Homogenates

Placental tissues were collected in a local slaughterhouse from healthy, pregnant HF cows (2nd and 4th month of pregnancy, n = 8). The age of the animals ranged from 4 to 6 years. Pregnancy age was assessed based on the crown-rump-length (CRL) of the foetus. Placental tissue samples were collected from a similar location in the uterus and within the placentome. Placentomes (1 g) were manually separated into maternal and foetal parts with great care to avoid any contamination by the foetal part and homogenized (4 °C, 20 min, 6500× g) in 2 mL 0.05 M phosphate buffer (pH = 7.2) containing Triton X-100 and in the presence of protease inhibitor cocktail (87785, Thermo Scientific™, Warszawa, Poland) using Ultra-Turrax T 25 (Ikawerk, Janke and Kunkel Inc., Staufen, Germany). Supernatants were frozen (−20 °C) for further analysis. Maternal and foetal parts of the placenta were analysed separately.

4.3. Mitochondrial Oxidative Activity Test

Cell viability based on measuring the activity of energy changes in the mitochondria was assessed using the MTT assay according to the method of Mosmann (1983) with some modifications [37]. The cells, at a density of 0.5 × 106 cells/mL, were seeded in 96-well plates and cultured (37 °C, 5% CO2) in a medium for 24 h. The 50,000 cells suspended in 100 µL medium were seeded per well. The next day, the culture medium was changed to the medium without FBS and the cells were incubated (37 °C, 5% CO2) for the next 24 h. Thereafter, the medium was replaced with 100 µL medium containing E2 (E2758, Sigma-Aldrich) at concentrations: 10−12 mol/L and 10−10 mol/L; P4 (Prolutex®, IBSA, Lublin, Poland) at concentrations: 10−7 mol/L and 10−8 mol/L; PGF2α (Enzaprost F) at concentrations: 10−9 mol/L and 10−10 mol/L; or vehicle (PBS), and incubated (37 °C, 5% CO2) for 24 h. The doses were physiological and selected based on the research of others [31,38,39,40,41]. The 20 µL MTT (M5655, Sigma-Aldrich) at a concentration of 5 mg/mL (in PBS) was added to 100 µL medium and the plate was incubated (37 °C, 5% CO2) for 2 h. After washing with PBS, the formazan crystals were precisely dissolved with 100 µL DMSO (D8418, Sigma-Aldrich) by the use of a rotating mixer. The absorbance was measured at 550 nm using a microplate reader (Labsystems Multiskan RC, Warszawa, Poland). The results were calculated as % of control, and cell viability was expressed in absolute values (control = 1). Two independent experiments were performed in quadruplicate.

4.4. Preparation of Cell Lysates for Transcriptomic Analysis

The cells, at a density of 0.5 × 106 cells/mL, were seeded in 6-well plates and cultured (37 °C, 5% CO2) in a medium for 24 h. The next day, the culture medium was changed to the medium without FBS and the cells were incubated (37 °C, 5% CO2) for the next 24 h. Thereafter, the cells were exposed to 10−12 mol/L E2, 10−8 mol/L P4, 10−10 mol/L PGF2α or vehicle (PBS). For this purpose, the medium was replaced with 2 mL fresh medium containing the abovementioned hormones or buffer and incubated (37 °C, 5% CO2) for 24 h before lysis. After discarding the medium, the wells were washed with 5 mM EDTA/PBS and the cells were then trypsinized (0.5% trypsin in 5 mM EDTA/PBS) until detached. The cells were then carefully resuspended in a culture medium and transferred to the centrifuge tubes. After centrifugation (200× g, 5 min, RT), cell pellets were washed with PBS and centrifuged again under the same conditions. Supernatants were discarded and 0.5 mL lysis buffer (pH = 7.5; 100 mM Tris, 500 mM LiCl, 10 mM EDTA, 1% SDS, 5 mM DTT) with 0.5 μL RNase inhibitor (EO0381, Thermo Scientific™) was added to the cell pellets, followed by pipetting up and down a couple of times to ensure complete lysis. The resulting foam was reduced by short 30 s centrifugation. The lysates were frozen and stored at −80 °C for later isolation of mRNA.

4.5. Preparation of Cell Lysates for Proteomic Analysis

The cells, at a density of 0.25 × 106 cells/mL, were seeded in 75 cm2 flasks and incubated (37 °C, 5% CO2) in a medium until 80% confluence was reached (approx. 5 days). The culture medium was discarded and cells were washed 3× with 10 mL PBS with 2 μL protease inhibitor cocktail (87785, Thermo Scientific™). Afterwards, 1 mL lysis buffer (GA-701-001, GeneAll, Lublin, Poland) with 2 µL protease inhibitor cocktail was thoroughly distributed on the bottom of the flask and kept on ice for 5 min. The cells were then harvested using a cell scraper (353089, Falcon, Warszawa, Poland), centrifuged (16,000× g, 10 min, 4 °C), and obtained supernatants were frozen and stored at −20 °C for later electrophoretic separation.
Protein concentration in the cell lysates was measured using an Infrared Spectrometer (Direct Detect®, Merck, Poznań, Poland) and polytetrafluoroethylene membrane cards (DDAC00010, Merck) according to the manufacturer’s instructions.

4.6. Isolation of mRNA from the Cell Lysate

mRNA isolation was performed using Dynabeads® Oligo (dT)25 (61005, Invitrogen™, Warszawa, Poland) according to the manufacturer’s instructions with minor modifications. The beads were thoroughly resuspended in the vial using a vortex to obtain a uniform brown suspension. A total of 500 μL of the beads were transferred to a 1.5 mL tube and placed on a magnet (Merck Millipore PureProteome™ Magnetic Stand) for 2 min. After discarding the supernatant, the tube was removed from the magnet and 500 μL binding buffer (pH = 7.5; 20 mM Tris, 1 M LiCl, 2 mM EDTA) was added to suspend the beads. The tube was placed on the magnet for 2 min. After discarding the supernatant, the tube was removed from the magnet and 500 μL binding buffer was added again. The tube was placed on the magnet for the next 2 min. The solution was removed from the washed beads and then 0.5 μL lysate was added and mixed with the beads. mRNA annealing to the oligo dT sequence was performed by rotating on a mixer for 8 min at RT. The vial was placed on the magnet for 2 min and the supernatant was removed. The beads were then thoroughly washed at RT using a magnet to separate the beads with mRNA from the supernatant, 1 × 1 mL with washing buffer A (pH = 7.5; 10 mM Tris, 0.15 M LiCl, 1 mM EDTA, 0.1% SDS) and then 1 × 1 mL and 1 × 0.5 mL with washing buffer B (pH = 7.5; 10 mM Tris, 0.15 M LiCl, 1 mM EDTA). Afterwards, 20 μL 10 mM Tris-HCl (pH = 7.5) with 0.5 μL RNase inhibitor was added to elute the mRNA from the beads. The tube was incubated for 4 min at 80 °C and then placed on the magnet, and the supernatant containing the mRNA was quickly transferred to a new tube placed in ice. The total amount of extracted mRNA was quantified by spectrophotometric determination of the optical density at 260 nm (NanoDrop 2000, Thermo ScientificTM). Obtained mRNA was subjected to gene expression analysis.

4.7. RT-qPCR

The DNA contamination removal and reverse transcription were performed with the use of Maxima First Strand cDNA Synthesis Kit for RT-qPCR, with dsDNase (K1671, Thermo Scientific™) according to the manufacturers’ instructions. The synthesis of cDNA was carried out on 0.5 µg of mRNA in a total reaction volume of 20 µL. Obtained cDNA was used as a template in qPCR reactions. Before gene expression analysis, reference gene selection was carried out on 10 potential reference genes [36]. Based on the average expression stability value (M value) and Vn/Vn+1 index calculated by the geNorm algorithm, two best-performing reference genes were chosen for the normalization of the data (ACTR1A and HDAC1). Quantitative PCR was performed on QuantStudio 3 apparatus (Applied Biosystems™, Warszawa, Poland) using PowerUp™ SYBR™ Green Master Mix (A25777, Applied Biosystems™). The total reaction volume of 20 µL contained either 2.5 ng or 25 ng of cDNA and 200 nM of each primer. Reaction component details and primer sequences are compiled in Table 1. The thermal profile of reactions was as follows: 2 min at 50 °C, 2 min at 95 °C, 40 cycles of 15 sec at 95 °C and 1 min at 60 °C. To confirm amplification specificity, a dissociation step was added at the end of each reaction with continuous data collection from 60 °C to 95 °C. Each reaction was carried out in two technical replications. Reverse transcriptase minus (RT-) negative control, along with No template control (NTC) was also included in the analyses. Standard curves were generated from the serial dilution of pooled cDNA. Obtained data were analysed using a dedicated relative quantification software module from ThermoFisher Cloud (ThermoFisher Scientific, Waltham, MA, USA).

4.8. Western Blotting

Proteins were separated on polyacrylamide gels using the method of Laemmli (1970) [42] with some modifications. The samples were prepared as described previously [16]. The electrophoretic separation was performed for 1 h 50 min at 100 V (Mini- PROTEAN® Tetra cell, Bio-Rad, Warszawa, Poland). After electrophoresis, the proteins were transferred to a PVDF membrane by the use of Criterion™ Blotter (Bio-Rad) at 100 V for 1 h 30 min, according to the method of Towbin et al. (1979) [43]. Afterwards, the membranes were blocked with CarboFree Blocking Solution (SP-5040, Vector Labs, Janki, Poland), in PBS with 0.05% Tween (PBST) for 1 h (RT). After discarding the solution, primary antibodies diluted in PBST were added and the membranes were incubated overnight (4 °C). Polyclonal rabbit estrogen receptor (1:000, LS-C167830, LSBio; at least 90% immunogen sequence identity with cow), polyclonal rabbit prostaglandin F2α receptor (1:1000, LS-A1049, LSBio; at least 81% immunogen sequence identity with cow) and monoclonal mouse progesterone receptor (1:2000, GTX22765, GeneTex; anti-bovine) antibodies were used. The addition of primary antibodies was omitted in the negative control. The membranes were washed 3 × 10 min with PBST and then incubated with secondary antibodies diluted in PBST for 2 h (RT). Depending on the origin of the primary antibodies, goat Anti-Rabbit IgG (1:2000, ab6722, Abcam) or Goat Anti-Mouse IgG (1:2000, 610-1519, Rockland) conjugated with alkaline phosphatase were used. After washing in PBST (3 × 10 min), the membranes were incubated with a substrate containing nitro blue tetrazole chloride (75 mg/mL in 10% DMSO) and 5-bromo-4-chloro-3-indolyl phosphate (50 mg/mL in 10% DMSO) in substrate buffer (pH = 9.5; 0.1 M Tris, 0.1 M NaCl, 50 mM MgCl2) until the bands were visualised. The enzyme reaction was stopped by the washing with H2O. Dried membranes were scanned with GS-710 Calibrated Imaging Densitometer (Bio-Rad), and analyzed with the Quantity One 4.1 software (Bio-Rad). The molecular masses of the bands were compared with the Precision Plus Protein™ Dual Color Standard (1610374, Bio-Rad). Two independent experiments were performed in duplicate.

4.9. Statistical Analysis

The data was analysed using STATISTICA Version 13.0 (StatSoft, Poland, TIBCO Software Inc., Palo Alto, CA, USA). The analysis of the heterogeneity of the samples showed the lack of a normal distribution of the results; therefore, statistical non-parametric tests were selected for the analysis. Kruskal–Wallis [44] and Mann–Whitney U [45] tests were used to evaluate differences between groups. A probability value of <0.05 was considered to be statistically significant.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/molecules27217420/s1, Figure S1: Melting curves obtained for genes of interest and reference genes; Figure S2: Expression of PTGFR in caruncular epithelial cells exposed to E2, P4, PGF2α or PBS (control) during the 2nd month of bovine pregnancy. Presented values stand for ΔCq. The higher the ΔCq the lower the mRNA level of the target gene. Data are shown in the box plots including the minimum and the maximum value (whiskers), the sample median (small square in the middle), and the first and third quartiles (frame); Figure S3: The original Western blot image; Table S1: Parameters derived from RT-qPCR analysis—standard curve slope, regression coefficient (R2 ), reaction efficiency, melting temperature of the amplicon (Tm) and sample Ct data; Table S2: Expression of target genes in caruncular epithelial cells exposed to E2, P4, PGF2α or PBS (control) during the 2nd and 4th month of bovine pregnancy. The presented values stand for ΔCq.

Author Contributions

Conceptualization, M.J. and M.K.; data curation, M.J.; formal analysis, M.J., M.S. and J.W.; methodology, M.J., M.S. and J.W.; software, M.J., M.S. and J.W.; supervision, M.K.; visualization, M.J., M.S. and J.W.; writing—original draft, M.J. and M.K.; writing—review and editing, M.J., M.S., J.W. and M.K. All authors have read and agreed to the published version of the manuscript.

Funding

The study was financed by the University of Life Sciences in Lublin under a grant for young scientists No. WKB/MN-10/WET/20.

Institutional Review Board Statement

All institutional and national guidelines for the care and use of animals were followed (EU Directive 2010/63/EU for animal experiments). Experiments on tissues collected in slaughterhouse postmortem do not require approval of the ethical committee. The collection of biological material during routine veterinary procedures does not require the approval of an ethical committee.

Informed Consent Statement

Not applicable.

Data Availability Statement

Raw data are available from the first author.

Conflicts of Interest

The authors have declared no conflict of interest.

Sample Availability

Not applicable.

References

  1. Franczyk, M.; Lopucki, M.; Stachowicz, N.; Morawska, D.; Kankofer, M. Extracellular matrix proteins in healthy and retained placentas, comparing hemochorial and synepitheliochorial placentas. Placenta 2017, 50, 19–24. [Google Scholar] [CrossRef] [PubMed]
  2. Schuler, G.; Wirth, C.; Teichmann, U.; Failing, K.; Leiser, R.; Thole, H.; Hoffmann, B. Occurrence of Estrogen Receptor α in Bovine Placentomes Throughout Mid and Late Gestation and at Parturition1. Biol. Reprod. 2002, 66, 976–982. [Google Scholar] [CrossRef] [Green Version]
  3. Hoffmann, B.; Schuler, G. The bovine placenta; a source and target of steroid hormones: Observations during the second half of gestation. Domest. Anim. Endocrinol. 2002, 23, 309–320. [Google Scholar] [CrossRef]
  4. Schäubli, M.; Ritter, N.; Hässig, M.; Zerbe, H.; Bleul, U.; Boos, A. Progesterone receptors, oestrogen receptor α and glucocorticoid receptors in the bovine intercaruncular uterine wall around parturition. Anim. Reprod. Sci. 2008, 103, 215–227. [Google Scholar] [CrossRef] [PubMed]
  5. Lim, H.; Paria, B.C.; Das, S.K.; Dinchuk, J.E.; Langenbach, R.; Trzaskos, J.M.; Dey, S.K. Multiple female reproductive failures in cyclooxy-genase 2-deficient mice. Cell 1997, 91, 197–208. [Google Scholar] [CrossRef] [Green Version]
  6. Fu, C.; Mao, W.; Gao, R.; Deng, Y.; Gao, L.; Wu, J.; Zhang, S.; Shen, Y.; Liu, K.; Li, Q.; et al. Prostaglandin F2α-PTGFR signaling promotes proliferation of endometrial epithelial cells of cattle through cell cycle regulation. Anim. Reprod. Sci. 2020, 213, 106276. [Google Scholar] [CrossRef]
  7. Ulbrich, S.E.; Meyer, S.U.; Zitta, K.; Hiendleder, S.; Sinowatz, F.; Bauersachs, S.; Büttner, M.; Fröhlich, T.; Arnold, G.J.; Reichenbach, H.-D.; et al. Bovine endometrial metallopeptidases MMP14 and MMP2 and the metallopeptidase inhibitor TIMP2 participate in maternal preparation of pregnancy. Mol. Cell. Endocrinol. 2010, 332, 48–57. [Google Scholar] [CrossRef] [Green Version]
  8. Mamluk, R.; Chen, D.B.; Greber, Y.; Davis, J.S.; Meidan, R. Characterization of messenger ribonucleic acid expression for prosta-glandin F(2α) and luteinizing hormone receptors in various bovine luteal cell types. Biol. Reprod. 1998, 58, 849–856. [Google Scholar] [CrossRef]
  9. Zhang, S.; Liu, B.; Gao, L.; Mao, W.; Fu, C.; Duritahala; Zhang, N.; Zhang, Y.; Shen, Y.; Cao, J. Prostaglandin F2α–PTGFR signalling activation, growth factor expression and cell proliferation in bovine endometrial explants. Reprod. Fertil. Dev. 2017, 29, 2195. [Google Scholar] [CrossRef]
  10. Schuler, G.; Fürbass, R.; Klisch, K. Placental contribution to the endocrinology of gestation and parturition. Anim. Reprod. 2018, 15, 822–842. [Google Scholar] [CrossRef]
  11. Combarnous, Y.; Nguyen, T.M.D. Comparative Overview of the Mechanisms of Action of Hormones and Endocrine Disruptor Compounds. Toxics 2019, 7, 5. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Gootwine, E. Placental hormones and fetal–placental development. Anim. Reprod. Sci. 2004, 82, 551–556. [Google Scholar] [CrossRef]
  13. Halari, C.D.; Zheng, M.; Lala, P.K. Roles of two small leucine-rich proteoglycans decorin and biglycan in pregnancy and pregnancy-associated diseases. Int. J. Mol. Sci. 2021, 22, 10584. [Google Scholar] [CrossRef] [PubMed]
  14. Ono, Y.J.; Terai, Y.; Tanabe, A.; Hayashi, A.; Hayashi, M.; Yamashita, Y.; Kyo, S.; Ohmichi, M. Decorin induced by progesterone plays a crucial role in suppressing endometriosis. J. Endocrinol. 2014, 223, 203–216. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Hong, S.H.; Nah, H.Y.; Lee, J.Y.; Gye, M.C.; Kim, C.H.; Kim, M.K. Analysis of estrogen-regulated genes in mouse uterus using cDNA microarray and laser capture microdissection. J. Endocrinol. 2004, 181, 157–167. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Jamioł, M.; Wawrzykowski, J.; Bulak, K.; Kankofer, M. Effect of decorin and selected glycosylation inhibitors on the adhesion of caruncular epithelial cells of pregnant cows—Part I. Reprod. Domest. Anim. 2021, 56, 703–712. [Google Scholar] [CrossRef]
  17. Franczyk, M.; Wawrzykowski, J.; Kankofer, M. Preliminary results of the placental decorin profile in bovine pregnancy and parturition. Glycoconj. J. 2018, 35, 461–465. [Google Scholar] [CrossRef] [Green Version]
  18. Jamioł, M.; Wawrzykowski, J.; Kankofer, M. The influence of progesterone and prostaglandin F 2α on decorin and the adhesion of caruncular epithelial cells of bovine placenta at early-mid pregnancy—Part II. Reprod. Domest. Anim. 2021, 56, 1040–1049. [Google Scholar] [CrossRef]
  19. Guillomot, M.; Campion, E.; Prézelin, A.; Sandra, O.; Hue, I.; Le Bourhis, D.; Richard, C.; Biase, F.; Rabel, C.; Wallace, R.; et al. Spatial and temporal changes of Decorin, Type I collagen and Fibronectin expression in normal and clone bovine placenta. Placenta 2014, 35, 737–747. [Google Scholar] [CrossRef]
  20. Kimmins, S.; Maclaren, L. Oestrous Cycle and Pregnancy Effects on the Distribution of Oestrogen and Progesterone Receptors in Bovine Endometrium. Placenta 2001, 22, 742–748. [Google Scholar] [CrossRef]
  21. Schuler, G.; Wirth, C.; Klisch, K.; Pfarrer, C.; Leiser, R.; Hoffmann, B. Immunolocalization of progesterone receptors in bovine placentomes throughout mid and late gestation and at parturition. Biol. Reprod. 1999, 61, 797–801. [Google Scholar] [CrossRef] [Green Version]
  22. Sozoniuk, M.; Jamioł, M.; Kankofer, M.; Kowalczyk, K. Reference gene selection in bovine caruncular epithelial cells under pregnancy-associated hormones exposure. Sci. Rep. 2022, 12, 12742. [Google Scholar] [CrossRef]
  23. Mosmann, T. Rapid colorimetric assay for cellular growth and survival: Application to proliferation and cytotoxicity assays. J. Immunol. Methods 1983, 65, 55–63. [Google Scholar] [CrossRef]
  24. Stahl, S.; Chun, T.-Y.; Gray, W.G. Phytoestrogens Act as Estrogen Agonists in an Estrogen-Responsive Pituitary Cell Line. Toxicol. Appl. Pharmacol. 1998, 152, 41–48. [Google Scholar] [CrossRef]
  25. Cui, L.; Wang, H.; Lin, J.; Wang, Y.; Dong, J.; Li, J.; Li, J. Progesterone inhibits inflammatory response in E. coli- or LPS-Stimulated bovine endometrial epithelial cells by NF-κB and MAPK pathways. Dev. Comp. Immunol. 2020, 105, 103568. [Google Scholar] [CrossRef]
  26. Del Vecchio, R.P.; Sutherland, W.D.; Sasser, R.G. Prostaglandin F2α, progesterone and oxytocin production by cultured bovine luteal cells treated with prostaglandin E2 and pregnancy-specific protein B. Prostaglandins 1995, 50, 137–150. [Google Scholar] [CrossRef]
  27. Mezera, M.A.; Hamm, C.S.; Gamarra, C.A.; Gennari, R.S.; Prata, A.B.; Sartori, R.; Wiltbank, M.C. Profiles of prostaglandin F2α metabolite in dairy cattle during luteal regression and pregnancy: Implications for corpus luteum maintenance. Biol. Reprod. 2019, 101, 76–90. [Google Scholar] [CrossRef]
  28. Nguyen, P.T.; Conley, A.J.; Soboleva, T.K.; Lee, R.S. Multilevel regulation of steroid synthesis and metabolism in the bovine placenta. Mol. Reprod. Dev. 2012, 79, 239–254. [Google Scholar] [CrossRef]
  29. Laemmli, U.K. Cleavage of Structural Proteins during Assembly of Head of Bacteriophage-T4. Nature 1970, 227, 680–685. [Google Scholar] [CrossRef]
  30. Towbin, H.; Staehelin, T.; Gordon, J. Electrophoretic transfer of proteins from polyacrylamide gels to nitrocellulose sheets: Procedure and some applications. Proc. Natl. Acad. Sci. USA 1979, 76, 4350–4354. [Google Scholar] [CrossRef]
  31. Kruskal, W.H.; Wallis, W.A. Use of Ranks in One-Criterion Variance Analysis. J. Am. Stat. Assoc. 1952, 47, 583–621. [Google Scholar] [CrossRef]
  32. Mann, H.B.; Whitney, D.R. On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other. Ann. Math. Stat. 1947, 18, 50–60. [Google Scholar] [CrossRef]
  33. Baxter, J.D.; Funder, J.W. Hormone receptors. N. Engl. J. Med. 1979, 301, 1149–1161. [Google Scholar] [CrossRef]
  34. Koussounadis, A.; Langdon, S.P.; Um, I.H.; Harrison, D.; Smith, V.A. Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model system. Sci. Rep. 2015, 5, 10775. [Google Scholar] [CrossRef] [Green Version]
  35. Guo, Y.; Xiao, P.; Lei, S.; Deng, F.; Xiao, G.G.; Liu, Y.; Chen, X.; Li, L.; Wu, S.; Chen, Y.; et al. How is mRNA expression predictive for protein expression? A correlation study on human circulating monocytes. Acta Biochim. Biophys. Sin. 2008, 40, 426–436. [Google Scholar] [CrossRef] [Green Version]
  36. Ulbrich, S.E.; Schulke, K.; Groebner, A.E.; Reichenbach, H.D.; Angioni, C.; Geisslinger, G.; Meyer, H.H.D. Quantitative characterization of prostaglandins in the uterus of early pregnant cattle. Reproduction 2009, 138, 371–382. [Google Scholar] [CrossRef] [Green Version]
  37. Eley, R.; Thatcher, W.W.; Bazer, F.W. Hormonal and physical changes associated with bovine conceptus development. Reproduction 1979, 55, 181–190. [Google Scholar] [CrossRef] [Green Version]
  38. Spencer, T.E.; Johnson, G.A.; Burghardt, R.; Bazer, F.W. Progesterone and Placental Hormone Actions on the Uterus: Insights from Domestic Animals1. Biol. Reprod. 2004, 71, 2–10. [Google Scholar] [CrossRef] [Green Version]
  39. Shemesh, M.; Hansel, W. Levels of Prostaglandin F (PGF) in Bovine Endometrium, Uterine Venous, Ovarian Arterial and Jugular Plasma during the Estrous Cycle (38489). Proc. Soc. Exp. Biol. Med. 1975, 148, 123–126. [Google Scholar] [CrossRef]
  40. Arosh, J.A.; Banu, S.K.; Kimmins, S.; Chapdelaine, P.; MacLaren, L.A.; Fortier, M.A. Effect of Interferon-τ on Prostaglandin Biosynthesis, Transport, and Signaling at the Time of Maternal Recognition of Pregnancy in Cattle: Evidence of Polycrine Actions of Prostaglandin E2. Endocrinology 2004, 145, 5280–5293. [Google Scholar] [CrossRef]
  41. Sakumoto, R.; Hayashi, K.-G.; Takahashi, T. Different expression of PGE synthase, PGF receptor, TNF, Fas and oxytocin in the bovine corpus luteum of the estrous cycle and pregnancy. Reprod. Biol. 2014, 14, 115–121. [Google Scholar] [CrossRef] [PubMed]
  42. Mann, G.; Lamming, G.; Fray, M. Plasma oestradiol and progesterone during early pregnancy in the cow and the effects of treatment with buserelin. Anim. Reprod. Sci. 1995, 37, 121–131. [Google Scholar] [CrossRef]
  43. Patel, O.V.; Takahashi, T.; Hirako, M.; Tomizuka, T.; Kojima, T.; Sasaki, N.; Domeki, I. Progesterone Concentration throughout Gestation in Cows with Singleton and Twin Pregnancies. J. Reprod. Dev. 1995, 41, 63–70. [Google Scholar] [CrossRef] [Green Version]
  44. Kim, H.S.; Cheon, Y.-P. Spatio-temporal expression and regulation of dermatopontin in the early pregnant mouse uterus. Mol. Cells 2006, 22, 262–268. [Google Scholar]
  45. Mishra, B.; Koshi, K.; Kizaki, K.; Ushizawa, K.; Takahashi, T.; Hosoe, M.; Sato, T.; Ito, A.; Hashizume, K. Expression of ADAMTS1 mRNA in bovine endometrium and placenta during gestation. Domest. Anim. Endocrinol. 2013, 45, 43–48. [Google Scholar] [CrossRef] [PubMed]
Molecules 27 07420 g001 550
Figure 1. Effect of various doses of 17β-estradiol (E2), progesterone (P4) and prostaglandin F2α (PGF2α) on caruncular epithelial cell viability in the placenta of pregnant cows measured by a MTT assay. C—vehicle. Data from two independent experiments performed in quadruplicate.
Figure 1. Effect of various doses of 17β-estradiol (E2), progesterone (P4) and prostaglandin F2α (PGF2α) on caruncular epithelial cell viability in the placenta of pregnant cows measured by a MTT assay. C—vehicle. Data from two independent experiments performed in quadruplicate.
Molecules 27 07420 g001
Molecules 27 07420 g002 550
Figure 2. Expression of DCN in caruncular epithelial cells exposed to E2, P4, PGF2α or PBS (control) during the 2nd (A) and 4th (B) months of bovine pregnancy. Presented values stand for ΔCq. The higher the ΔCq, the lower the mRNA level of the target gene. Data are shown in the box plots, including the minimum and the maximum value (whiskers), the sample median (small square in the middle), and the first and third quartiles (frame).
Figure 2. Expression of DCN in caruncular epithelial cells exposed to E2, P4, PGF2α or PBS (control) during the 2nd (A) and 4th (B) months of bovine pregnancy. Presented values stand for ΔCq. The higher the ΔCq, the lower the mRNA level of the target gene. Data are shown in the box plots, including the minimum and the maximum value (whiskers), the sample median (small square in the middle), and the first and third quartiles (frame).
Molecules 27 07420 g002
Molecules 27 07420 g003 550
Figure 3. Expression of ESR1 in caruncular epithelial cells exposed to E2, P4, PGF2α or PBS (control) during the 2nd (A) and 4th (B) months of bovine pregnancy. Presented values stand for ΔCq. The higher the ΔCq, the lower the mRNA level of the target gene. Data are shown in the box plots, including the minimum and the maximum value (whiskers), the sample median (small square in the middle), and the first and third quartiles (frame).
Figure 3. Expression of ESR1 in caruncular epithelial cells exposed to E2, P4, PGF2α or PBS (control) during the 2nd (A) and 4th (B) months of bovine pregnancy. Presented values stand for ΔCq. The higher the ΔCq, the lower the mRNA level of the target gene. Data are shown in the box plots, including the minimum and the maximum value (whiskers), the sample median (small square in the middle), and the first and third quartiles (frame).
Molecules 27 07420 g003
Molecules 27 07420 g004 550
Figure 4. Expression of PGR in caruncular epithelial cells exposed to E2, P4, PGF2α or PBS (control) during the 2nd (A) and 4th (B) months of bovine pregnancy. Presented values stand for ΔCq. The higher the ΔCq, the lower the mRNA level of the target gene. Data are shown in the box plots, including the minimum and the maximum value (whiskers), the sample median (small square in the middle), and the first and third quartiles (frame).
Figure 4. Expression of PGR in caruncular epithelial cells exposed to E2, P4, PGF2α or PBS (control) during the 2nd (A) and 4th (B) months of bovine pregnancy. Presented values stand for ΔCq. The higher the ΔCq, the lower the mRNA level of the target gene. Data are shown in the box plots, including the minimum and the maximum value (whiskers), the sample median (small square in the middle), and the first and third quartiles (frame).
Molecules 27 07420 g004
Molecules 27 07420 g005 550
Figure 5. Expression of PTGFR in caruncular epithelial cells exposed to E2, P4, PGF2α or PBS (control) during the 4th month of bovine pregnancy (A). Comparison of PTGFR expression in cells from the 2nd and 4th months of pregnancy (B). Presented values stand for ΔCq. The higher the ΔCq, the lower the mRNA level of the target gene. Data are shown in the box plots, including the minimum and the maximum value (whiskers), the sample median (small square in the middle), and the first and third quartiles (frame). Values with asterisks are significantly different (p < 0.05).
Figure 5. Expression of PTGFR in caruncular epithelial cells exposed to E2, P4, PGF2α or PBS (control) during the 4th month of bovine pregnancy (A). Comparison of PTGFR expression in cells from the 2nd and 4th months of pregnancy (B). Presented values stand for ΔCq. The higher the ΔCq, the lower the mRNA level of the target gene. Data are shown in the box plots, including the minimum and the maximum value (whiskers), the sample median (small square in the middle), and the first and third quartiles (frame). Values with asterisks are significantly different (p < 0.05).
Molecules 27 07420 g005
Molecules 27 07420 g006 550
Figure 6. The presence of progesterone, estrogen and prostaglandin F2α receptors in bovine caruncular epithelial cells and placental tissues at early gestational stages was demonstrated by Western blotting. PGR—progesterone receptor; ESR1—estrogen receptor; PTGFR—prostaglandin F2α receptor; MC—caruncular epithelial cells; MT—placental tissue from the maternal part of the placenta; FT—placental tissue from the foetal part of the placenta.
Figure 6. The presence of progesterone, estrogen and prostaglandin F2α receptors in bovine caruncular epithelial cells and placental tissues at early gestational stages was demonstrated by Western blotting. PGR—progesterone receptor; ESR1—estrogen receptor; PTGFR—prostaglandin F2α receptor; MC—caruncular epithelial cells; MT—placental tissue from the maternal part of the placenta; FT—placental tissue from the foetal part of the placenta.
Molecules 27 07420 g006
Table
Table 1. Primer sequences and qPCR reaction details.
Table 1. Primer sequences and qPCR reaction details.
GeneGenBank Accession NumberPrimer SequenceProduct Size (bp)cDNA Amount per Reaction
DCNNM_173906.4F: TGCGAGTTGTCCAGTGTTCT
R: AATGCCCCAGGGCTGATTTT		19025 ng
ESR1NM_001001443.1F: TGCCTGGCTAGAGATCCTCA
R: CGGAACCGAGACGAAGTAGC		1652.5 ng
PTGFRNM_181025.3F: TTGGGCACCTCATCAATGGAA
R: AAAGTGGGCACAGACCAGAG		13525 ng
PGRNM_001205356.1F: CTACCTTAGGCCGGATTCAGA
R: TGCAATCGTTTCTTCCAGCACAT		2002.5 ng
ACTR1ANM_001193248.3F: AAGTCTGACATGGACCTGCG
R: TCTTCACGTCTTTCGGAGCC		1302.5 ng
HDAC1NM_001037444.2F: TTACGACGGGGATGTTGGAA
R: GGCTTTGTGAGGGCGATAGA		1362.5 ng
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Jamioł, M.; Sozoniuk, M.; Wawrzykowski, J.; Kankofer, M. Effect of Sex Steroids and PGF2α on the Expression of Their Receptors and Decorin in Bovine Caruncular Epithelial Cells in Early–Mid Pregnancy. Molecules 2022, 27, 7420. https://doi.org/10.3390/molecules27217420

AMA Style

Jamioł M, Sozoniuk M, Wawrzykowski J, Kankofer M. Effect of Sex Steroids and PGF2α on the Expression of Their Receptors and Decorin in Bovine Caruncular Epithelial Cells in Early–Mid Pregnancy. Molecules. 2022; 27(21):7420. https://doi.org/10.3390/molecules27217420

Chicago/Turabian Style

Jamioł, Monika, Magdalena Sozoniuk, Jacek Wawrzykowski, and Marta Kankofer. 2022. "Effect of Sex Steroids and PGF2α on the Expression of Their Receptors and Decorin in Bovine Caruncular Epithelial Cells in Early–Mid Pregnancy" Molecules 27, no. 21: 7420. https://doi.org/10.3390/molecules27217420

Article Metrics

Back to TopTop