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AbSeq Protocol Using the Nano-Well Cartridge-Based Rhapsody Platform to Generate Protein and Transcript Expression Data on the Single-Cell Level.
Erickson, Jami R; Mair, Florian; Bugos, Grace; Martin, Jody; Tyznik, Aaron J; Nakamoto, Margaret; Mortimer, Stefanie; Prlic, Martin.
Afiliação
  • Erickson JR; Fred Hutchinson Cancer Research Center, Vaccine and Infectious Disease Division, Seattle, WA 98109, USA.
  • Mair F; Fred Hutchinson Cancer Research Center, Vaccine and Infectious Disease Division, Seattle, WA 98109, USA.
  • Bugos G; Fred Hutchinson Cancer Research Center, Vaccine and Infectious Disease Division, Seattle, WA 98109, USA.
  • Martin J; Department of Immunology, University of Washington, Seattle, WA 98195, USA.
  • Tyznik AJ; BD Biosciences, La Jolla, CA 92037, USA.
  • Nakamoto M; Technical Contact.
  • Mortimer S; BD Biosciences, La Jolla, CA 92037, USA.
  • Prlic M; BD Biosciences, La Jolla, CA 92037, USA.
STAR Protoc ; 1(2)2020 09 18.
Article em En | MEDLINE | ID: mdl-33000001
ABSTRACT
By including oligonucleotide-labeled antibodies into high-throughput single-cell RNA-sequencing protocols, combined transcript and protein expression data can be acquired on the single-cell level. Here, we describe a protocol for the combined analysis of over 40 proteins and 400 genes on over 104 cells using the nano-well based Rhapsody platform. We also include a workflow for sample multiplexing, which uniquely identifies the initial source of cells (such as tissue type or donor) in the downstream analysis after upstream pooling. For complete information on the use and execution of this protocol, please refer to Mair et al. (2020).
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas / Perfilação da Expressão Gênica / Análise de Célula Única Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas / Perfilação da Expressão Gênica / Análise de Célula Única Idioma: En Ano de publicação: 2020 Tipo de documento: Article