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Preparation of single cells from tumors for single-cell RNA sequencing.
Bykov, Yonina; Kim, Sarah H; Zamarin, Dmitriy.
Afiliação
  • Bykov Y; Ludwig Collaborative Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
  • Kim SH; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
  • Zamarin D; Ludwig Collaborative Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, United States; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States; Department of Medicine, Weill Cornell Medical College, New York, NY, United States; Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, United States. Electronic address: zamarind@mskcc.org.
Methods Enzymol ; 632: 295-308, 2020.
Article em En | MEDLINE | ID: mdl-32000902
ABSTRACT
Intratumoral heterogeneity of cancer cells and tumor-infiltrating immune cells is increasingly being viewed as a key factor driving tumor progression and response to therapy. Over the past several years, technological advances have created powerful tools to analyze the tumor microenvironment on a single-cell level, including mass cytometry and single-cell RNA sequencing, which is particularly pertinent to tumor immunology and cancer immunotherapy. The integrity and reliability of the data generated from these single-cell technologies, however, are highly influenced by the process and quality of sample preparation, which, if carried out inappropriately, has a potential to produce misleading results. In this chapter, we describe a protocol for the generation of single cell suspensions from human tumor samples that has been optimized for single-cell RNA sequencing. This protocol can be easily adapted for other single cell applications such as mass and flow cytometry. Throughout the entire workflow, we aim to maximize viability and minimize factors contributing to cellular stress that could affect downstream analyses.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Análise de Sequência de RNA / Análise de Célula Única / Neoplasias Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Methods Enzymol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Análise de Sequência de RNA / Análise de Célula Única / Neoplasias Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Methods Enzymol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos