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ImmunoMap: A Bioinformatics Tool for T-cell Repertoire Analysis.
Sidhom, John-William; Bessell, Catherine A; Havel, Jonathan J; Kosmides, Alyssa; Chan, Timothy A; Schneck, Jonathan P.
Afiliação
  • Sidhom JW; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Bessell CA; Bloomberg∼Kimmel Institute for Cancer Immunotherapy, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Havel JJ; Graduate Program in Immunology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Kosmides A; Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Chan TA; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Schneck JP; Immunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, New York.
Cancer Immunol Res ; 6(2): 151-162, 2018 02.
Article em En | MEDLINE | ID: mdl-29263161
Despite a dramatic increase in T-cell receptor (TCR) sequencing, few approaches biologically parse the data in a fashion that both helps yield new information about immune responses and may guide immunotherapeutic interventions. To address this issue, we developed a method, ImmunoMap, that utilizes a sequence analysis approach inspired by phylogenetics to examine TCR repertoire relatedness. ImmunoMap analysis of the CD8 T-cell response to self-antigen (Kb-TRP2) or to a model foreign antigen (Kb-SIY) in naïve and tumor-bearing B6 mice showed differences in the T-cell repertoire of self- versus foreign antigen-specific responses, potentially reflecting immune pressure by the tumor, and also detected lymphoid organ-specific differences in TCR repertoires. When ImmunoMap was used to analyze clinical trial data of tumor-infiltrating lymphocytes from patients being treated with anti-PD-1, ImmunoMap, but not standard TCR sequence analyses, revealed a clinically predicative signature in pre- and posttherapy samples. Cancer Immunol Res; 6(2); 151-62. ©2017 AACR.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Receptores de Antígenos de Linfócitos T / Linfócitos T / Biologia Computacional Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Receptores de Antígenos de Linfócitos T / Linfócitos T / Biologia Computacional Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article