Profiling tissue-resident T cell repertoires by RNA sequencing

被引：78

作者：

Brown, Scott D. ^{[1
,2
]}

Raeburn, Lisa A. ^{[1
,3
]}

Holt, Robert A. ^{[1
,2
,3
,4
]}

机构：

[1] BC Canc Agcy, Canadas Michael Smith Genome Sci Ctr, Vancouver, BC V5Z 1L3, Canada

[2] Univ British Columbia, Genome Sci & Technol Program, Vancouver, BC V6T 1Z4, Canada

[3] Simon Fraser Univ, Dept Mol Biol & Biochem, Burnaby, BC V5A 1S6, Canada

[4] Univ British Columbia, Dept Med Genet, Vancouver, BC V6T 1Z4, Canada

来源：

GENOME MEDICINE | 2015年 / 7卷

基金：

加拿大健康研究院;

关键词：

TUMOR-INFILTRATING LYMPHOCYTES; MULTIPLE-SCLEROSIS; RESPONSES; EPITOPES; PATIENT;

D O I：

10.1186/s13073-015-0248-x

中图分类号：

Q3 [遗传学];

学科分类号：

071007 [遗传学];

摘要：

Deep sequencing of recombined T cell receptor (TCR) genes and transcripts has provided a view of T cell repertoire diversity at an unprecedented resolution. Beyond profiling peripheral blood, analysis of tissue-resident T cells provides further insight into immune-related diseases. We describe the extraction of TCR sequence information directly from RNA-sequencing data from 6738 tumor and 604 control tissues, with a typical yield of 1 TCR per 10 million reads. This method circumvents the need for PCR amplification of the TCR template and provides TCR information in the context of global gene expression, allowing integrated analysis of extensive RNA-sequencing data resources.

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