Title |
Profiling tissue-resident T cell repertoires by RNA sequencing
|
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Published in |
Genome Medicine, November 2015
|
DOI | 10.1186/s13073-015-0248-x |
Pubmed ID | |
Authors |
Scott D. Brown, Lisa A. Raeburn, Robert A. Holt |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 45% |
United Kingdom | 4 | 14% |
Saudi Arabia | 1 | 3% |
India | 1 | 3% |
Spain | 1 | 3% |
Russia | 1 | 3% |
France | 1 | 3% |
Canada | 1 | 3% |
Unknown | 6 | 21% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 18 | 62% |
Scientists | 10 | 34% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
South Africa | 1 | <1% |
Canada | 1 | <1% |
Australia | 1 | <1% |
Unknown | 202 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 58 | 28% |
Student > Ph. D. Student | 39 | 19% |
Student > Master | 20 | 10% |
Student > Bachelor | 18 | 9% |
Other | 14 | 7% |
Other | 30 | 14% |
Unknown | 30 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 63 | 30% |
Biochemistry, Genetics and Molecular Biology | 48 | 23% |
Immunology and Microbiology | 26 | 12% |
Medicine and Dentistry | 16 | 8% |
Computer Science | 8 | 4% |
Other | 13 | 6% |
Unknown | 35 | 17% |