Unknown

Dataset Information

0

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

ABSTRACT: 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.

SUBMITTER: Tripathi SK 

PROVIDER: S-EPMC6330361 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

Json Xml
altmetric image

Publications

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  ...[more]

Similar Datasets

Transcriptomics Quantitative mass spectrometry-based proteomics reveals the dynamic protein landscape during initiation of human Th17 cell polarization
2018-12-14 | GSE118974 | GEO
Genomics Quantitative mass spectrometry-based proteomics reveals the dynamic protein landscape during initiation of human Th17 cell polarization
| PRJNA487597 | ENA
Unknown Dynamic TMT-Based Quantitative Proteomics Analysis of Critical Initiation Process of Totipotency during Cotton Somatic Embryogenesis Transdifferentiation.
| S-EPMC6480670 | biostudies-literature
Unknown Quantitative chromatin proteomics reveals a dynamic histone post-translational modification landscape that defines asexual and sexual Plasmodium falciparum parasites.
| S-EPMC5428830 | biostudies-literature
Unknown Quantitative mass spectrometry-based proteomics reveals the dynamic range of primary mouse astrocyte protein secretion.
| S-EPMC2866110 | biostudies-literature
Unknown Quantitative proteomics reveals specific protein regulation of severe hypospadias.
| S-EPMC9085921 | biostudies-literature
Unknown Quantitative proteomics reveals factors regulating RNA biology as dynamic targets of stress-induced SUMOylation in Arabidopsis.
| S-EPMC3567865 | biostudies-other
Unknown Dynamic regulation of the transcription initiation landscape at single nucleotide resolution during vertebrate embryogenesis.
| S-EPMC3814893 | biostudies-literature
Unknown Quantitative proteomics reveals protein dysregulation during T cell activation in multiple sclerosis patients compared to healthy controls.
| S-EPMC9254507 | biostudies-literature
Unknown c-Maf regulates IL-10 expression during Th17 polarization.
| S-EPMC2834209 | biostudies-literature