Identifying specificity groups in the T cell receptor repertoire

Jacob Glanville, Huang Huang, Allison Nau, Olivia Hatton, Lisa E. Wagar, Florian Rubelt, Xuhuai Ji, Arnold Han, Sheri M. Krams, Christina Pettus, Nikhil Haas, Cecilia S. Lindestam Arlehamn, Alessandro Sette, Scott D. Boyd, Thomas J. Scriba, Olivia M. Martinez and Mark M. Davis ()
Additional contact information
Jacob Glanville: Computational and Systems Immunology Program, Stanford University School of Medicine
Huang Huang: Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine
Allison Nau: Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine
Olivia Hatton: Stanford University School of Medicine
Lisa E. Wagar: Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine
Florian Rubelt: Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine
Xuhuai Ji: Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine
Arnold Han: Stanford University School of Medicine
Sheri M. Krams: Stanford University School of Medicine
Christina Pettus: PSM Biotechnology, University of San Francisco
Nikhil Haas: PSM Biotechnology, University of San Francisco
Cecilia S. Lindestam Arlehamn: La Jolla Institute for Allergy and Immunology
Alessandro Sette: La Jolla Institute for Allergy and Immunology
Scott D. Boyd: Stanford University School of Medicine
Thomas J. Scriba: South African Tuberculosis Vaccine Initiative, University of Cape Town
Olivia M. Martinez: Stanford University School of Medicine
Mark M. Davis: Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine

Nature, 2017, vol. 547, issue 7661, 94-98

Abstract: The authors devise an algorithm that can cluster T cell receptor (TCR) sequences sharing the same specificity, predict the HLA restriction of these TCR clusters on the basis of subjects’ genotypes and help to identify specific peptide major histocompatibility complex ligands.

Date: 2017
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DOI: 10.1038/nature22976

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