Red Blood Cell Multi-Omics

A special issue of Proteomes (ISSN 2227-7382).

Deadline for manuscript submissions: closed (31 July 2020) | Viewed by 6106

Special Issue Editors


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Guest Editor
Department of Biochemistry, Radboud Institute for Molecular Life Sciences, Radboud University Nijmegen Medical Centre, P.O. Box 9101, NL-6500 HB Nijmegen, The Netherlands
Interests: molecular and cellular aging; erythrocyte; autoimmunity; membrane; signaling

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Guest Editor
Department of Applied Sciences, Faculty of Life and Health Sciences, Northumbria University, Newcastle-Upon-Tyne NE1 8ST, UK
Interests: mass spectrometry-based proteomics; malaria; Plasmodium falciparum; red blood cells; cancer; phosphorylation; signalling pathways; clinical proteomics
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Special Issue Information

Dear Colleagues,

Proteomic analyses have provided new information on and a new impetus for the study of the structure/function relationship of red blood cells, and concomitantly of the role of red blood cells in the maintenance of organismal homeostasis. Recent years have seen the supplementation of information from proteomic inventories with detailed metabolomic and, recently, lipidomic data. These developments have emphasized the need for a multi-omics, integrative approach in order to understand the physiological as well as pathological implications of emerging pathways, especially those that are not in the red blood cell physiology textbooks. Algorithms for multi-omics and phenotypical metadata are being established, together with biomathematical models of biochemical regulation. Once again, the red blood cell may serve as a model, in this case to evaluate the integrative power of such algorithms in the interpretation of physiological phenomena. In addition, recent developments on erythropoiesis in vitro provide genomic and transcriptomic possibilities to interpret the effects of (manipulation of) processes in the bone marrow on long term function and survival of mature red blood cells in the circulation.

We invite you to contribute original research, technical notes, method papers, and reviews on ‘Red Blood Cell Multi-omics’ that are centered around multiple -omics analyses of red blood cells and may include the study and manipulation of erythropoiesis in vitro, as well as physiological and pathological studies on mature red blood cells in vitro and in vivo.

Dr. Giel Bosman
Assoc. Prof. Edwin Lasonder
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Proteomes is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • anemia
  • erythrocyte
  • genomics
  • lipidomics
  • metabolomics
  • multi-omics
  • proteomics
  • red blood cell
  • transcriptomics

Published Papers (1 paper)

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Research

16 pages, 2089 KiB  
Article
Vesiculation of Red Blood Cells in the Blood Bank: A Multi-Omics Approach towards Identification of Causes and Consequences
by Joames K. Freitas Leal, Edwin Lasonder, Vikram Sharma, Jürgen Schiller, Giuseppina Fanelli, Sara Rinalducci, Roland Brock and Giel Bosman
Proteomes 2020, 8(2), 6; https://doi.org/10.3390/proteomes8020006 - 31 Mar 2020
Cited by 14 | Viewed by 5694
Abstract
Microvesicle generation is an integral part of the aging process of red blood cells in vivo and in vitro. Extensive vesiculation impairs function and survival of red blood cells after transfusion, and microvesicles contribute to transfusion reactions. The triggers and mechanisms of microvesicle [...] Read more.
Microvesicle generation is an integral part of the aging process of red blood cells in vivo and in vitro. Extensive vesiculation impairs function and survival of red blood cells after transfusion, and microvesicles contribute to transfusion reactions. The triggers and mechanisms of microvesicle generation are largely unknown. In this study, we combined morphological, immunochemical, proteomic, lipidomic, and metabolomic analyses to obtain an integrated understanding of the mechanisms underlying microvesicle generation during the storage of red blood cell concentrates. Our data indicate that changes in membrane organization, triggered by altered protein conformation, constitute the main mechanism of vesiculation, and precede changes in lipid organization. The resulting selective accumulation of membrane components in microvesicles is accompanied by the recruitment of plasma proteins involved in inflammation and coagulation. Our data may serve as a basis for further dissection of the fundamental mechanisms of red blood cell aging and vesiculation, for identifying the cause-effect relationship between blood bank storage and transfusion complications, and for assessing the role of microvesicles in pathologies affecting red blood cells. Full article
(This article belongs to the Special Issue Red Blood Cell Multi-Omics)
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