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Protocol to dissociate, process, and analyze the human lung tissue using single-cell RNA-seq.
Quintanal-Villalonga, Álvaro; Chan, Joseph M; Masilionis, Ignas; Gao, Vianne Ran; Xie, Yubin; Allaj, Viola; Chow, Andrew; Poirier, John T; Pe'er, Dana; Rudin, Charles M; Mazutis, Linas.
Afiliación
  • Quintanal-Villalonga Á; Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Chan JM; Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Masilionis I; Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Gao VR; Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Xie Y; Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Allaj V; Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Chow A; Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Poirier JT; Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA.
  • Pe'er D; Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Rudin CM; Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Mazutis L; Institute of Biotechnology, Life Sciences Centre, Vilnius University, Vilnius, Lithuania. Electronic address: linas.mazutis@bti.vu.lt.
STAR Protoc ; 3(4): 101776, 2022 12 16.
Article en En | MEDLINE | ID: mdl-36313536
ABSTRACT
We report a protocol for obtaining high-quality single-cell transcriptomics data from human lung biospecimens acquired from core needle biopsies, fine-needle aspirates, surgical resection, and pleural effusions. The protocol relies upon the brief mechanical and enzymatic disruption of tissue, enrichment of live cells by fluorescence-activated cell sorting (FACS), and droplet-based single-cell RNA sequencing (scRNA-seq). The protocol also details a procedure for analyzing the scRNA-seq data. For complete details on the use and execution of this protocol, please refer to Chan et al. (2021).
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Perfilación de la Expresión Génica / Pulmón Límite: Humans Idioma: En Revista: STAR Protoc Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Perfilación de la Expresión Génica / Pulmón Límite: Humans Idioma: En Revista: STAR Protoc Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos