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HLA Typing from RNA Sequencing and Applications to Cancer.
Orenbuch, Rose; Filip, Ioan; Rabadan, Raul.
Afiliación
  • Orenbuch R; Department of Systems Biology, Columbia University Irving Cancer Research Center, New York, NY, USA.
  • Filip I; Department of Systems Biology, Columbia University Irving Cancer Research Center, New York, NY, USA. if2179@cumc.columbia.edu.
  • Rabadan R; Program for Mathematical Genomics, Columbia University Irving Medical Center, New York, NY, USA. if2179@cumc.columbia.edu.
Methods Mol Biol ; 2120: 71-92, 2020.
Article en En | MEDLINE | ID: mdl-32124312
ABSTRACT
The human leukocyte antigen (HLA) complex is necessary for antigen presentation and regulates both innate and adaptive immune responses. In the context of cancer and treatment therapies, the HLA locus plays a critical role in tumor recognition and tolerance mechanisms. In silico HLA class I and class II typing, as well as expression quantification from next-generation RNA sequencing, can therefore have great potential clinical applications. However, HLA typing from short-read data is a challenging task given the high polymorphism and homology at the HLA locus. In this chapter, we present our highly accurate HLA typing solution, arcasHLA. We provide a detailed outline for practitioners using our protocol to perform HLA typing and demonstrate the applicability of arcasHLA in several clinical samples from tumors.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Prueba de Histocompatibilidad / Análisis de Secuencia de ARN / Antígenos HLA / Neoplasias Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Prueba de Histocompatibilidad / Análisis de Secuencia de ARN / Antígenos HLA / Neoplasias Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
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