Proteomics

Dataset Information

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Quantitative proteomic characterization and comparison of T helper 17 and iTreg cells in mouse


ABSTRACT: Using mass spectrometry-based label free quantitative proteomics analysis of in vitro differentiated murine Th17 and induced T regulatory (iTreg) cells. More than 4000 proteins covering almost all subcellular compartments were detected. Quantitative comparison of the protein expression profiles resulted in the identification of proteins specifically expressed in the Th17 and iTreg cells. Importantly, our combined analysis of proteome and gene expression data revealed protein expression changes that were not associated with changes at the transcriptional level.

OTHER RELATED OMICS DATASETS IN: PRJNA411825

INSTRUMENT(S): Q Exactive

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Primary Cell, T Cell

SUBMITTER: Imran ahammad Mohammad  

LAB HEAD: Zhi Jane Chen

PROVIDER: PXD007826 | Pride | 2018-06-05

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
Exp1_Th0_1.raw Raw
Exp1_Th0_2.raw Raw
Exp1_Th0_3.raw Raw
Exp1_Th17_1.raw Raw
Exp1_Th17_2.raw Raw
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Publications


The transcriptional network and protein regulators that govern T helper 17 (Th17) cell differentiation have been studied extensively using advanced genomic approaches. For a better understanding of these biological processes, we have moved a step forward, from gene- to protein-level characterization of Th17 cells. Mass spectrometry-based label-free quantitative (LFQ) proteomics analysis were made of in vitro differentiated murine Th17 and induced regulatory T (iTreg) cells. More than 4,000 prote  ...[more]

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