Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/1539
Title: Quantitative mass spectrometry-based proteomics reveals the dynamic protein landscape during initiation of human Th17 cell polarization
Authors: Tripathi, Subhash K.
SHETTY, ANKITHA
GALANDE, SANJEEV et al.
Dept. of Biology
Keywords: Human
Th17 cell differentiation
Proteomics
Mass spectrometry
SATB1
TOC-JAN-2019
2019
Issue Date: Jan-2019
Publisher: Elsevier B.V.
Citation: iScience, 11, 334-355.
Abstract: Th17 cells contribute to pathogenesis of inflammatory and autoimmune diseases and cancer. To reveal the Th17 cell-specific proteomic signature regulating Th17 cell differentiation and function in human we used a label-free mass spectrometry-based approach. Further, 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 to a 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 (RNAi), 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.
URI: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/1539
https://doi.org/10.1016/j.isci.2018.12.020
ISSN: -
Appears in Collections:JOURNAL ARTICLES

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