ImmunoMap: A bioinformatics tool for T-cell repertoire analysis Journal Article


Authors: Sidhom, J. W.; Bessell, C. A.; Havel, J. J.; Kosmides, A.; Chan, T. A.; Schneck, J. P.
Article Title: ImmunoMap: A bioinformatics tool for T-cell repertoire analysis
Abstract: 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- A nd posttherapy samples. © 2018 American Association for Cancer Research.
Journal Title: Cancer Immunology Research
Volume: 6
Issue: 2
ISSN: 2326-6066
Publisher: American Association for Cancer Research  
Date Published: 2018-02-01
Start Page: 151
End Page: 162
Language: English
DOI: 10.1158/2326-6066.cir-17-0114
PROVIDER: scopus
PUBMED: 29263161
PMCID: PMC6478441
DOI/URL:
Notes: Article -- Export Date: 1 March 2018 -- Source: Scopus
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  1. Timothy Chan
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  2. Jonathan Joseph Havel
    18 Havel