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Identifying and Tracking Low-Frequency Virus-Specific TCR Clonotypes Using High-Throughput Sequencing.
Wolf, Kyle; Hether, Tyler; Gilchuk, Pavlo; Kumar, Amrendra; Rajeh, Ahmad; Schiebout, Courtney; Maybruck, Julie; Buller, R Mark; Ahn, Tae-Hyuk; Joyce, Sebastian; DiPaolo, Richard J.
Afiliación
  • Wolf K; Department of Molecular Microbiology and Immunology, Saint Louis University, Saint Louis, MO 63104, USA.
  • Hether T; Adaptive Biotechnologies, Seattle, WA 98102, USA.
  • Gilchuk P; Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN 37212, USA; Department of Pathology, Microbiology, and Immunology, Vanderbilt University, Nashville, TN 37232, USA.
  • Kumar A; Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN 37212, USA; Department of Pathology, Microbiology, and Immunology, Vanderbilt University, Nashville, TN 37232, USA.
  • Rajeh A; Program in Bioinformatics and Computational Biology, Saint Louis University, Saint Louis, MO 63104, USA.
  • Schiebout C; Program in Bioinformatics and Computational Biology, Saint Louis University, Saint Louis, MO 63104, USA.
  • Maybruck J; Federal Bureau of Investigation, Washington, DC 20535, USA.
  • Buller RM; Department of Molecular Microbiology and Immunology, Saint Louis University, Saint Louis, MO 63104, USA.
  • Ahn TH; Department of Computer Science, Saint Louis University, Saint Louis, MO 63104, USA; Program in Bioinformatics and Computational Biology, Saint Louis University, Saint Louis, MO 63104, USA.
  • Joyce S; Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN 37212, USA; Department of Pathology, Microbiology, and Immunology, Vanderbilt University, Nashville, TN 37232, USA.
  • DiPaolo RJ; Department of Molecular Microbiology and Immunology, Saint Louis University, Saint Louis, MO 63104, USA. Electronic address: richard.dipaolo@health.slu.edu.
Cell Rep ; 25(9): 2369-2378.e4, 2018 11 27.
Article en En | MEDLINE | ID: mdl-30485806
ABSTRACT
Tracking antigen-specific T cell responses over time within individuals is difficult because of lack of knowledge of antigen-specific TCR sequences, limitations in sample size, and assay sensitivities. We hypothesized that analyses of high-throughput sequencing of TCR clonotypes could provide functional readouts of individuals' immunological histories. Using high-throughput TCR sequencing, we develop a database of TCRß sequences from large cohorts of mice before (naive) and after smallpox vaccination. We computationally identify 315 vaccine-associated TCR sequences (VATS) that are used to train a diagnostic classifier that distinguishes naive from vaccinated samples in mice up to 9 months post-vaccination with >99% accuracy. We determine that the VATS library contains virus-responsive TCRs by in vitro expansion assays and virus-specific tetramer sorting. These data outline a platform for advancing our capabilities to identify pathogen-specific TCR sequences, which can be used to identify and quantitate low-frequency pathogen-specific TCR sequences in circulation over time with exceptional sensitivity.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Virus / Receptores de Antígenos de Linfocitos T / Rastreo Celular / Secuenciación de Nucleótidos de Alto Rendimiento Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Cell Rep Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Virus / Receptores de Antígenos de Linfocitos T / Rastreo Celular / Secuenciación de Nucleótidos de Alto Rendimiento Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Cell Rep Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos