A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
T cell fate and clonality inference from single-cell transcriptomes
Tekijät: Stubbington MJT, Lonnberg T, Proserpio V, Clare S, Speak A, Dougan G, Teichmann SA
Kustantaja: NATURE PUBLISHING GROUP
Julkaisuvuosi: 2016
Journal: Nature Methods
Tietokannassa oleva lehden nimi: NATURE METHODS
Lehden akronyymi: NAT METHODS
Vuosikerta: 13
Numero: 4
Aloitussivu: 329
Lopetussivu: 332
Sivujen määrä: 4
ISSN: 1548-7091
DOI: https://doi.org/10.1038/NMETH.3800
Tiivistelmä
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.
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.
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