Unknown,Transcriptomics,Genomics,Proteomics

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Simultaneously inferring T cell fate and clonality from single cell transcriptomes


ABSTRACT: Single-cell RNA-seq from CD4+ T lymphocytes from uninfected steady-state mouse, two mice with Salmonella typhimurium infection at day 14 and one mouse at day 49 post-infection. Used to demonstrate application of reconstruction and analysis of T cell receptor sequences from single-cell RNA-seq.

INSTRUMENT(S): Illumina HiSeq 2500, Fluidigm C1

ORGANISM(S): Mus musculus

SUBMITTER: Mike Stubbington 

PROVIDER: E-MTAB-3857 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

T cell fate and clonality inference from single-cell transcriptomes.

Stubbington Michael J T MJT   Lönnberg Tapio T   Proserpio Valentina V   Clare Simon S   Speak Anneliese O AO   Dougan Gordon G   Teichmann Sarah A SA  

Nature methods 20160307 4


We developed TraCeR, a computational method to reconstruct full-length, paired T cell receptor (TCR) sequences from T lymphocyte single-cell RNA sequence data. TraCeR links T cell specificity with functional response by revealing clonal relationships between cells alongside their transcriptional profiles. We found that T cell clonotypes in a mouse Salmonella infection model span early activated CD4(+) T cells as well as mature effector and memory cells. ...[more]

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