In-Depth Proteomic Characterization of Classical and Non-Classical Monocyte Subsets.

Autor: Segura V; Proteomics, Genomics and Bioinformatics Unit, Center for Applied Medical Research, University of Navarra, Pamplona 31008, Spain. vsegura@unav.es., Valero ML; Proteomics Unit; Central Service for Experimental Research (SCSIE), University of Valencia. Dr Moliner 50, 46100 Burjassot, Spain. mluz.valero@uv.es., Cantero L; Proteomics Unit; Central Service for Experimental Research (SCSIE), University of Valencia. Dr Moliner 50, 46100 Burjassot, Spain. laura.cantero@uv.es., Muñoz J; Spanish National Cancer Research Centre (CNIO), Melchor Férnandez Almagro, 3, 28029 Madrid. Spain. jmunozpe@cnio.es., Zarzuela E; Spanish National Cancer Research Centre (CNIO), Melchor Férnandez Almagro, 3, 28029 Madrid. Spain. ezarzuela@cnio.es., García F; Spanish National Cancer Research Centre (CNIO), Melchor Férnandez Almagro, 3, 28029 Madrid. Spain. fgarcia@cnio.es., Aloria K; Proteomics Core Facility-SGIKER, University of the Basque Country, UPV/EHU, 48940 Leioa, Spain. kerman.aloria@ehu.eus., Beaskoetxea J; Department of Biochemistry and Molecular Biology, University of the Basque Country, UPV/EHU, 48940 Leioa, Spain. javier.beaskoetxea@ehu.eus., Arizmendi JM; Department of Biochemistry and Molecular Biology, University of the Basque Country, UPV/EHU, 48940 Leioa, Spain. jm.arizmendi@ehu.eus., Navajas R; Proteomics Unit, Centro Nacional de Biotecnología-CSIC, Darwin 3, 28049 Madrid, Spain. rnavajas@cnb.csic.es., Paradela A; Proteomics Unit, Centro Nacional de Biotecnología-CSIC, Darwin 3, 28049 Madrid, Spain. alberto.paradela@cnb.csic.es., Díez P; Department of Medicine and General Cytometry Service-Nucleus, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain. pauladg@usal.es.; Proteomics Unit. Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain. pauladg@usal.es., Dégano RM; Department of Medicine and General Cytometry Service-Nucleus, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain. agarin@unav.es.; Proteomics Unit. Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain. agarin@unav.es., Fuentes M; Department of Medicine and General Cytometry Service-Nucleus, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain. mfuentes@usal.es.; Proteomics Unit. Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain. mfuentes@usal.es., Orfao A; Cancer Research Center. University of Salamanca-CSIC, IBSAL, 37007 Salamanca, Spain. orfao@usal.es., Montero AG; Spanish National DNA Bank Carlos III, University of Salamanca, 37007 Salamanca, Spain. angarmon@usal.es., Garin-Muga A; Proteomics, Genomics and Bioinformatics Unit, Center for Applied Medical Research, University of Navarra, Pamplona 31008, Spain. fcorrales@cnb.csic.es., Corrales FJ; Proteomics Unit, Centro Nacional de Biotecnología-CSIC, Darwin 3, 28049 Madrid, Spain. romade@usal.es., Pino MMSD; Department of Biochemistry and Molecular Biology, University of Valencia. Dr Moliner 50, 46100 Burjassot, Spain. sandelpi@uv.es.; Biotechnology and Biomedicine Interdisciplinary Research Unit (ERI BIOTECMED), University of Valencia. Dr Moliner 50, 46100 Burjassot, Spain. sandelpi@uv.es.
Jazyk: angličtina
Zdroj: Proteomes [Proteomes] 2018 Feb 05; Vol. 6 (1). Date of Electronic Publication: 2018 Feb 05.
DOI: 10.3390/proteomes6010008
Abstrakt: Monocytes are bone marrow-derived leukocytes that are part of the innate immune system. Monocytes are divided into three subsets: classical, intermediate and non-classical, which can be differentiated by their expression of some surface antigens, mainly CD14 and CD16. These cells are key players in the inflammation process underlying the mechanism of many diseases. Thus, the molecular characterization of these cells may provide very useful information for understanding their biology in health and disease. We performed a multicentric proteomic study with pure classical and non-classical populations derived from 12 healthy donors. The robust workflow used provided reproducible results among the five participating laboratories. Over 5000 proteins were identified, and about half of them were quantified using a spectral counting approach. The results represent the protein abundance catalogue of pure classical and enriched non-classical blood peripheral monocytes, and could serve as a reference dataset of the healthy population. The functional analysis of the differences between cell subsets supports the consensus roles assigned to human monocytes.
Databáze: MEDLINE
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