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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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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 |
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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 |
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