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An open protocol for modeling T Cell Clonotype repertoires using TCRß CDR3 sequences.
Gurun, Burcu; Horton, Wesley; Murugan, Dhaarini; Zhu, Biqing; Leyshock, Patrick; Kumar, Sushil; Byrne, Katelyn T; Vonderheide, Robert H; Margolin, Adam A; Mori, Motomi; Spellman, Paul T; Coussens, Lisa M; Speed, Terence P.
Afiliación
  • Gurun B; Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA. gurundem@ohsu.edu.
  • Horton W; School of Medicine, Oregon Health and Science University, Portland, OR, USA. gurundem@ohsu.edu.
  • Murugan D; Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
  • Zhu B; Department of Cell, Developmental & Cancer Biology and Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
  • Leyshock P; Computational Biology and Bioinformatics Program, Yale University, New Haven, CT, USA.
  • Kumar S; Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
  • Byrne KT; Department of Cell, Developmental & Cancer Biology and Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
  • Vonderheide RH; Department of Cell, Developmental & Cancer Biology and Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
  • Margolin AA; Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Mori M; Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Spellman PT; NextVivo, Palo Alto, CA, USA.
  • Coussens LM; Department of Biostatistics, St. Jude's Children's Research Hospital, Memphis, TN, USA.
  • Speed TP; Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA. spellmap@ohsu.edu.
BMC Genomics ; 24(1): 349, 2023 Jun 26.
Article en En | MEDLINE | ID: mdl-37365517
T cell receptor repertoires can be profiled using next generation sequencing (NGS) to measure and monitor adaptive dynamical changes in response to disease and other perturbations. Genomic DNA-based bulk sequencing is cost-effective but necessitates multiplex target amplification using multiple primer pairs with highly variable amplification efficiencies. Here, we utilize an equimolar primer mixture and propose a single statistical normalization step that efficiently corrects for amplification bias post sequencing. Using samples analyzed by both our open protocol and a commercial solution, we show high concordance between bulk clonality metrics. This approach is an inexpensive and open-source alternative to commercial solutions.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Linfocitos T / Secuenciación de Nucleótidos de Alto Rendimiento Tipo de estudio: Prognostic_studies Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Linfocitos T / Secuenciación de Nucleótidos de Alto Rendimiento Tipo de estudio: Prognostic_studies Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos