RT Journal Article
SR Electronic
T1 A systems approach to the characterization and classification of T-cell responses
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 175620
DO 10.1101/175620
A1 Shinobu Yamamoto
A1 Elizabeth Whalen
A1 Daisuke Chujo
A1 Durgha Nattamai
A1 Nicole Baldwin
A1 Kimberly O’Brien
A1 Quynh-Anh Nguyen
A1 Vivian Gersuk
A1 Esperanza Anguiano
A1 Junbao Yang
A1 William W Kwok
A1 Jacques Banchereau
A1 Hideki Ueno
A1 Damien Chaussabel
YR 2017
UL http://biorxiv.org/content/early/2017/08/13/175620.abstract
AB Types of T-cell responses are categorized on the basis of a limited number of molecular markers selected using a priori knowledge about T-cell immunobiology. We sought to develop a novel systems-based approach for the creation of an unbiased framework enabling assessment of antigenic-peptide specific T-cell responses in vitro. A meta-analysis of transcriptome data from PBMCs stimulated with a wide range of peptides identified patterns of gene regulation that provided an unbiased classification of types of antigen-specific responses. Further analysis yielded new insight about the molecular processes engaged following antigenic stimulation. This led for instance to the identification of transcription factors not previously studied in the context of T-cell differentiation. Taken together this profiling approach can serve as a basis for the unbiased characterization of antigen-specific responses and as a foundation for the development of novel systems-based immune profiling assays.