Cargando…

Quantitative Proteomics Reveals the Dynamic Protein Landscape during Initiation of Human Th17 Cell Polarization

Th17 cells contribute to the pathogenesis of inflammatory and autoimmune diseases and cancer. To reveal the Th17 cell-specific proteomic signature regulating Th17 cell differentiation and function in humans, we used a label-free mass spectrometry-based approach. Furthermore, a comprehensive analysis...

Descripción completa

Detalles Bibliográficos
Autores principales: Tripathi, Subhash K., Välikangas, Tommi, Shetty, Ankitha, Khan, Mohd Moin, Moulder, Robert, Bhosale, Santosh D., Komsi, Elina, Salo, Verna, De Albuquerque, Rafael Sales, Rasool, Omid, Galande, Sanjeev, Elo, Laura L., Lahesmaa, Riitta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330361/
https://www.ncbi.nlm.nih.gov/pubmed/30641411
http://dx.doi.org/10.1016/j.isci.2018.12.020
_version_ 1783386955665375232
author Tripathi, Subhash K.
Välikangas, Tommi
Shetty, Ankitha
Khan, Mohd Moin
Moulder, Robert
Bhosale, Santosh D.
Komsi, Elina
Salo, Verna
De Albuquerque, Rafael Sales
Rasool, Omid
Galande, Sanjeev
Elo, Laura L.
Lahesmaa, Riitta
author_facet Tripathi, Subhash K.
Välikangas, Tommi
Shetty, Ankitha
Khan, Mohd Moin
Moulder, Robert
Bhosale, Santosh D.
Komsi, Elina
Salo, Verna
De Albuquerque, Rafael Sales
Rasool, Omid
Galande, Sanjeev
Elo, Laura L.
Lahesmaa, Riitta
author_sort Tripathi, Subhash K.
collection PubMed
description Th17 cells contribute to the pathogenesis of inflammatory and autoimmune diseases and cancer. To reveal the Th17 cell-specific proteomic signature regulating Th17 cell differentiation and function in humans, we used a label-free mass spectrometry-based approach. Furthermore, a comprehensive analysis of the proteome and transcriptome of cells during human Th17 differentiation revealed a high degree of overlap between the datasets. However, when compared with corresponding published mouse data, we found very limited overlap between the proteins differentially regulated in response to Th17 differentiation. Validations were made for a panel of selected proteins with known and unknown functions. Finally, using RNA interference, we showed that SATB1 negatively regulates human Th17 cell differentiation. Overall, the current study illustrates a comprehensive picture of the global protein landscape during early human Th17 cell differentiation. Poor overlap with mouse data underlines the importance of human studies for translational research.
format Online
Article
Text
id pubmed-6330361
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-63303612019-01-22 Quantitative Proteomics Reveals the Dynamic Protein Landscape during Initiation of Human Th17 Cell Polarization Tripathi, Subhash K. Välikangas, Tommi Shetty, Ankitha Khan, Mohd Moin Moulder, Robert Bhosale, Santosh D. Komsi, Elina Salo, Verna De Albuquerque, Rafael Sales Rasool, Omid Galande, Sanjeev Elo, Laura L. Lahesmaa, Riitta iScience Article Th17 cells contribute to the pathogenesis of inflammatory and autoimmune diseases and cancer. To reveal the Th17 cell-specific proteomic signature regulating Th17 cell differentiation and function in humans, we used a label-free mass spectrometry-based approach. Furthermore, a comprehensive analysis of the proteome and transcriptome of cells during human Th17 differentiation revealed a high degree of overlap between the datasets. However, when compared with corresponding published mouse data, we found very limited overlap between the proteins differentially regulated in response to Th17 differentiation. Validations were made for a panel of selected proteins with known and unknown functions. Finally, using RNA interference, we showed that SATB1 negatively regulates human Th17 cell differentiation. Overall, the current study illustrates a comprehensive picture of the global protein landscape during early human Th17 cell differentiation. Poor overlap with mouse data underlines the importance of human studies for translational research. Elsevier 2018-12-26 /pmc/articles/PMC6330361/ /pubmed/30641411 http://dx.doi.org/10.1016/j.isci.2018.12.020 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Tripathi, Subhash K.
Välikangas, Tommi
Shetty, Ankitha
Khan, Mohd Moin
Moulder, Robert
Bhosale, Santosh D.
Komsi, Elina
Salo, Verna
De Albuquerque, Rafael Sales
Rasool, Omid
Galande, Sanjeev
Elo, Laura L.
Lahesmaa, Riitta
Quantitative Proteomics Reveals the Dynamic Protein Landscape during Initiation of Human Th17 Cell Polarization
title Quantitative Proteomics Reveals the Dynamic Protein Landscape during Initiation of Human Th17 Cell Polarization
title_full Quantitative Proteomics Reveals the Dynamic Protein Landscape during Initiation of Human Th17 Cell Polarization
title_fullStr Quantitative Proteomics Reveals the Dynamic Protein Landscape during Initiation of Human Th17 Cell Polarization
title_full_unstemmed Quantitative Proteomics Reveals the Dynamic Protein Landscape during Initiation of Human Th17 Cell Polarization
title_short Quantitative Proteomics Reveals the Dynamic Protein Landscape during Initiation of Human Th17 Cell Polarization
title_sort quantitative proteomics reveals the dynamic protein landscape during initiation of human th17 cell polarization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330361/
https://www.ncbi.nlm.nih.gov/pubmed/30641411
http://dx.doi.org/10.1016/j.isci.2018.12.020
work_keys_str_mv AT tripathisubhashk quantitativeproteomicsrevealsthedynamicproteinlandscapeduringinitiationofhumanth17cellpolarization
AT valikangastommi quantitativeproteomicsrevealsthedynamicproteinlandscapeduringinitiationofhumanth17cellpolarization
AT shettyankitha quantitativeproteomicsrevealsthedynamicproteinlandscapeduringinitiationofhumanth17cellpolarization
AT khanmohdmoin quantitativeproteomicsrevealsthedynamicproteinlandscapeduringinitiationofhumanth17cellpolarization
AT moulderrobert quantitativeproteomicsrevealsthedynamicproteinlandscapeduringinitiationofhumanth17cellpolarization
AT bhosalesantoshd quantitativeproteomicsrevealsthedynamicproteinlandscapeduringinitiationofhumanth17cellpolarization
AT komsielina quantitativeproteomicsrevealsthedynamicproteinlandscapeduringinitiationofhumanth17cellpolarization
AT saloverna quantitativeproteomicsrevealsthedynamicproteinlandscapeduringinitiationofhumanth17cellpolarization
AT dealbuquerquerafaelsales quantitativeproteomicsrevealsthedynamicproteinlandscapeduringinitiationofhumanth17cellpolarization
AT rasoolomid quantitativeproteomicsrevealsthedynamicproteinlandscapeduringinitiationofhumanth17cellpolarization
AT galandesanjeev quantitativeproteomicsrevealsthedynamicproteinlandscapeduringinitiationofhumanth17cellpolarization
AT elolaural quantitativeproteomicsrevealsthedynamicproteinlandscapeduringinitiationofhumanth17cellpolarization
AT lahesmaariitta quantitativeproteomicsrevealsthedynamicproteinlandscapeduringinitiationofhumanth17cellpolarization