Transcriptomics,Multiomics

Dataset Information

0

Targeted reconstruction of T cell receptor sequence from single cell RNA-seq links CDR3 length to T cell differentiation state


ABSTRACT: The T cell compartment must contain diversity in both T cell receptor (TCR) repertoire and cell state to provide effective immunity against pathogens. However, it remains unclear how differences in the TCR contribute to heterogeneity in T cell state. Single cell RNA-sequencing (scRNA-seq) can allow simultaneous measurement of TCR sequence and global transcriptional profile from single cells. However, current methods for TCR inference from scRNA-seq are limited in their sensitivity and require long sequencing reads, thus increasing the cost and decreasing the number of cells that can be feasibly analyzed. We present TRAPeS, a publicly available tool that can efficiently extract TCR sequence information from short-read scRNA-seq libraries. We apply it to investigate heterogeneity in the CD8+ T cell response in humans and mice, and show that it is accurate and more sensitive than existing approaches. Coupling TRAPeS with transcriptome analysis of CD8+ T cells specific for a single epitope from Yellow Fever Virus (YFV), we show that the recently described “naive-like” memory population have significantly longer CDR3 regions and greater divergence from germline sequence than do effector-memory phenotype cells. This suggests that TCR usage is associated with the differentiation state of the CD8+ T cell response to YFV.

OTHER RELATED OMICS DATASETS IN: PRJNA380343

ORGANISM(S): Mus musculus Homo sapiens

PROVIDER: GSE96993 | GEO | 2017/07/17

SECONDARY ACCESSION(S): PRJNA380343

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2017-12-13 | GSE75533 | GEO
2018-05-05 | GSE101660 | GEO
2015-06-16 | E-GEOD-67593 | biostudies-arrayexpress
2020-07-01 | E-MTAB-8874 | biostudies-arrayexpress
2022-06-02 | GSE200608 | GEO
2016-08-20 | E-GEOD-85823 | biostudies-arrayexpress
2020-09-30 | GSE137406 | GEO
2022-04-08 | GSE195956 | GEO
2017-01-31 | E-MTAB-4850 | biostudies-arrayexpress
2012-10-03 | E-GEOD-39110 | biostudies-arrayexpress