Proteomics

Dataset Information

94

Label-free analysis of CD8+ T cell subset proteomes supports a progressive differentiation model of virus-specific T cells in humans


ABSTRACT: Different pathogens trigger naïve T cells to express distinct sets of effector proteins. To better understand the molecular mechanisms that drive this functional specification, we used high resolution, label-free mass spectrometry to measure proteomic differences between the seven largest circulating human CD8+ T cell subsets. Unsupervised hierarchical clustering of the proteomes placed naïve and CD45RA-expressing effector-type T cells at the extremes of the spectrum with central-memory and other effector-memory stages located in between. Prominent differences between the subsets included expression of various granzymes, signaling proteins and molecules involved in metabolic regulation. Remarkably, whereas most of the proteomic changes between the subsets were gradual, a small proportion of proteins were regulated only in discrete subsets. The data obtained from this proteome analysis correspond best to a progressive differentiation model in which specific stable traits are gradually acquired during pathogen-specific development.

INSTRUMENT(S): Orbitrap Fusion ETD

ORGANISM(S): Homo sapiens  

TISSUE(S): Blood

DISEASE(S): Not Available

SUBMITTER: Maartje van den Biggelaar  

LAB HEAD: Maartje van den Biggelaar

PROVIDER: PXD004637 | Pride | 2017-05-02

REPOSITORIES: Pride

Dataset's files

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P10_1A.raw Raw
P10_1B.raw Raw
P10_1C.raw Raw
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Publications

Label-free Analysis of CD8<sup>+</sup> T Cell Subset Proteomes Supports a Progressive Differentiation Model of Human-Virus-Specific T Cells.

van Aalderen Michiel C MC   van den Biggelaar Maartje M   Remmerswaal Ester B M EBM   van Alphen Floris P J FPJ   Meijer Alexander B AB   Ten Berge Ineke J M IJM   van Lier René A W RAW  

Cell reports 20170501 5


Pathogens trigger T cells to express distinct sets of effector proteins. To better understand the molecular mechanisms that drive functional specification, we used high-resolution mass spectrometry and label-free protein quantification to measure proteomic differences between the seven largest circulating human CD8<sup>+</sup> T cell subsets. Hierarchical clustering of the proteomes placed naive and CD45RA-expressing effector-type T cells at the extremes of the spectrum, with central memory and  ...[more]

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