Quantifiable predictive features define epitope-specific T cell receptor repertoires
Pradyot Dash,
Andrew J. Fiore-Gartland,
Tomer Hertz,
George C. Wang,
Shalini Sharma,
Aisha Souquette,
Jeremy Chase Crawford,
E. Bridie Clemens,
Thi H. O. Nguyen,
Katherine Kedzierska,
Nicole L. La Gruta,
Philip Bradley () and
Paul G. Thomas ()
Additional contact information
Pradyot Dash: St Jude Children’s Research Hospital
Andrew J. Fiore-Gartland: Fred Hutchinson Cancer Research Center
Tomer Hertz: Fred Hutchinson Cancer Research Center
George C. Wang: Biology of Healthy Aging Program, Johns Hopkins University School of Medicine
Shalini Sharma: Lala Lajpat Rai University of Veterinary and Animal Sciences
Aisha Souquette: St Jude Children’s Research Hospital
Jeremy Chase Crawford: St Jude Children’s Research Hospital
E. Bridie Clemens: University of Melbourne, Peter Doherty Institute for Infection and Immunity
Thi H. O. Nguyen: University of Melbourne, Peter Doherty Institute for Infection and Immunity
Katherine Kedzierska: University of Melbourne, Peter Doherty Institute for Infection and Immunity
Nicole L. La Gruta: University of Melbourne, Peter Doherty Institute for Infection and Immunity
Philip Bradley: Fred Hutchinson Cancer Research Center
Paul G. Thomas: St Jude Children’s Research Hospital
Nature, 2017, vol. 547, issue 7661, 89-93
Abstract:
The authors characterize epitope-specific T cell repertoires, identify shared and recognizable features of TCRs, and develop tools to classify antigen specificity on the basis of sequence analysis.
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:547:y:2017:i:7661:d:10.1038_nature22383
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DOI: 10.1038/nature22383
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