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Computational approaches for characterizing the tumor immune microenvironment.
Liu, Candace C; Steen, Chloé B; Newman, Aaron M.
Afiliación
  • Liu CC; Immunology Graduate Program, School of Medicine, Stanford University, Stanford, CA, USA.
  • Steen CB; Division of Oncology, Department of Medicine, Stanford Cancer Institute, Stanford University, Stanford, CA, USA.
  • Newman AM; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA.
Immunology ; 158(2): 70-84, 2019 10.
Article en En | MEDLINE | ID: mdl-31347163
ABSTRACT
Recent advances in high-throughput molecular profiling technologies and multiplexed imaging platforms have revolutionized our ability to characterize the tumor immune microenvironment. As a result, studies of tumor-associated immune cells increasingly involve complex data sets that require sophisticated methods of computational analysis. In this review, we present an overview of key assays and related bioinformatics tools for analyzing the tumor-associated immune system in bulk tissues and at the single-cell level. In parallel, we describe how data science strategies and novel technologies have advanced tumor immunology and opened the door for new opportunities to exploit host immunity to improve cancer clinical outcomes.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Regulación Neoplásica de la Expresión Génica / Biología Computacional / Microambiente Tumoral / Antígenos de Neoplasias / Neoplasias Límite: Humans Idioma: En Revista: Immunology Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Regulación Neoplásica de la Expresión Génica / Biología Computacional / Microambiente Tumoral / Antígenos de Neoplasias / Neoplasias Límite: Humans Idioma: En Revista: Immunology Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos