In-Depth Proteomic Characterization of Classical and Non-Classical Monocyte Subsets
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...
| Main Authors: | , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-02-01
|
| Series: | Proteomes |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2227-7382/6/1/8 |
| _version_ | 1798003989500919808 |
|---|---|
| author | Víctor Segura M. Luz Valero Laura Cantero Javier Muñoz Eduardo Zarzuela Fernando García Kerman Aloria Javier Beaskoetxea Jesús M. Arizmendi Rosana Navajas Alberto Paradela Paula Díez Rosa Mª Dégano Manuel Fuentes Alberto Orfao Andrés García Montero Alba Garin-Muga Fernando J. Corrales Manuel M. Sánchez del Pino |
| author_facet | Víctor Segura M. Luz Valero Laura Cantero Javier Muñoz Eduardo Zarzuela Fernando García Kerman Aloria Javier Beaskoetxea Jesús M. Arizmendi Rosana Navajas Alberto Paradela Paula Díez Rosa Mª Dégano Manuel Fuentes Alberto Orfao Andrés García Montero Alba Garin-Muga Fernando J. Corrales Manuel M. Sánchez del Pino |
| author_sort | Víctor Segura |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T12:16:27Z |
| format | Article |
| id | doaj.art-a4d0dc1d5be54c5682a9499e8c46f680 |
| institution | Directory Open Access Journal |
| issn | 2227-7382 |
| language | English |
| last_indexed | 2024-04-11T12:16:27Z |
| publishDate | 2018-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Proteomes |
| spelling | doaj.art-a4d0dc1d5be54c5682a9499e8c46f6802022-12-22T04:24:18ZengMDPI AGProteomes2227-73822018-02-0161810.3390/proteomes6010008proteomes6010008In-Depth Proteomic Characterization of Classical and Non-Classical Monocyte SubsetsVíctor Segura0M. Luz Valero1Laura Cantero2Javier Muñoz3Eduardo Zarzuela4Fernando García5Kerman Aloria6Javier Beaskoetxea7Jesús M. Arizmendi8Rosana Navajas9Alberto Paradela10Paula Díez11Rosa Mª Dégano12Manuel Fuentes13Alberto Orfao14Andrés García Montero15Alba Garin-Muga16Fernando J. Corrales17Manuel M. Sánchez del Pino18Proteomics, Genomics and Bioinformatics Unit, Center for Applied Medical Research, University of Navarra, Pamplona 31008, SpainProteomics Unit; Central Service for Experimental Research (SCSIE), University of Valencia. Dr Moliner 50, 46100 Burjassot, SpainProteomics Unit; Central Service for Experimental Research (SCSIE), University of Valencia. Dr Moliner 50, 46100 Burjassot, SpainSpanish National Cancer Research Centre (CNIO), Melchor Férnandez Almagro, 3, 28029 Madrid. SpainSpanish National Cancer Research Centre (CNIO), Melchor Férnandez Almagro, 3, 28029 Madrid. SpainSpanish National Cancer Research Centre (CNIO), Melchor Férnandez Almagro, 3, 28029 Madrid. SpainProteomics Core Facility-SGIKER, University of the Basque Country, UPV/EHU, 48940 Leioa, SpainDepartment of Biochemistry and Molecular Biology, University of the Basque Country, UPV/EHU, 48940 Leioa, SpainDepartment of Biochemistry and Molecular Biology, University of the Basque Country, UPV/EHU, 48940 Leioa, SpainProteomics Unit, Centro Nacional de Biotecnología-CSIC, Darwin 3, 28049 Madrid, SpainProteomics Unit, Centro Nacional de Biotecnología-CSIC, Darwin 3, 28049 Madrid, SpainDepartment of Medicine and General Cytometry Service-Nucleus, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, SpainDepartment of Medicine and General Cytometry Service-Nucleus, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, SpainDepartment of Medicine and General Cytometry Service-Nucleus, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, SpainCancer Research Center. University of Salamanca-CSIC, IBSAL, 37007 Salamanca, SpainSpanish National DNA Bank Carlos III, University of Salamanca, 37007 Salamanca, SpainProteomics, Genomics and Bioinformatics Unit, Center for Applied Medical Research, University of Navarra, Pamplona 31008, SpainProteomics Unit, Centro Nacional de Biotecnología-CSIC, Darwin 3, 28049 Madrid, SpainDepartment of Biochemistry and Molecular Biology, University of Valencia. Dr Moliner 50, 46100 Burjassot, SpainMonocytes 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.http://www.mdpi.com/2227-7382/6/1/8monocytesprotein profilingquantitative proteomics |
| spellingShingle | Víctor Segura M. Luz Valero Laura Cantero Javier Muñoz Eduardo Zarzuela Fernando García Kerman Aloria Javier Beaskoetxea Jesús M. Arizmendi Rosana Navajas Alberto Paradela Paula Díez Rosa Mª Dégano Manuel Fuentes Alberto Orfao Andrés García Montero Alba Garin-Muga Fernando J. Corrales Manuel M. Sánchez del Pino In-Depth Proteomic Characterization of Classical and Non-Classical Monocyte Subsets Proteomes monocytes protein profiling quantitative proteomics |
| title | In-Depth Proteomic Characterization of Classical and Non-Classical Monocyte Subsets |
| title_full | In-Depth Proteomic Characterization of Classical and Non-Classical Monocyte Subsets |
| title_fullStr | In-Depth Proteomic Characterization of Classical and Non-Classical Monocyte Subsets |
| title_full_unstemmed | In-Depth Proteomic Characterization of Classical and Non-Classical Monocyte Subsets |
| title_short | In-Depth Proteomic Characterization of Classical and Non-Classical Monocyte Subsets |
| title_sort | in depth proteomic characterization of classical and non classical monocyte subsets |
| topic | monocytes protein profiling quantitative proteomics |
| url | http://www.mdpi.com/2227-7382/6/1/8 |
| work_keys_str_mv | AT victorsegura indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets AT mluzvalero indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets AT lauracantero indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets AT javiermunoz indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets AT eduardozarzuela indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets AT fernandogarcia indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets AT kermanaloria indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets AT javierbeaskoetxea indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets AT jesusmarizmendi indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets AT rosananavajas indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets AT albertoparadela indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets AT pauladiez indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets AT rosamadegano indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets AT manuelfuentes indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets AT albertoorfao indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets AT andresgarciamontero indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets AT albagarinmuga indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets AT fernandojcorrales indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets AT manuelmsanchezdelpino indepthproteomiccharacterizationofclassicalandnonclassicalmonocytesubsets |