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Multiplexed quantification of proteins and transcripts in single cells.
Peterson, Vanessa M; Zhang, Kelvin Xi; Kumar, Namit; Wong, Jerelyn; Li, Lixia; Wilson, Douglas C; Moore, Renee; McClanahan, Terrill K; Sadekova, Svetlana; Klappenbach, Joel A.
Affiliation
  • Peterson VM; Genetics &Pharmacogenomics, Department of Translational Medicine, Merck &Co., Inc., Boston, Massachusetts, USA.
  • Zhang KX; Informatics IT, Merck &Co., Inc., Boston, Massachusetts, USA.
  • Kumar N; Genetics &Pharmacogenomics, Department of Translational Medicine, Merck &Co., Inc., Boston, Massachusetts, USA.
  • Wong J; Department of Profiling and Expression, Merck &Co., Inc., Palo Alto, California, USA.
  • Li L; Genetics &Pharmacogenomics, Department of Translational Medicine, Merck &Co., Inc., Boston, Massachusetts, USA.
  • Wilson DC; Department of Profiling and Expression, Merck &Co., Inc., Palo Alto, California, USA.
  • Moore R; Protein Sciences, Department of Biologics, Merck &Co., Inc., Boston, Massachusetts, USA.
  • McClanahan TK; Department of Profiling and Expression, Merck &Co., Inc., Palo Alto, California, USA.
  • Sadekova S; Department of Profiling and Expression, Merck &Co., Inc., Palo Alto, California, USA.
  • Klappenbach JA; Genetics &Pharmacogenomics, Department of Translational Medicine, Merck &Co., Inc., Boston, Massachusetts, USA.
Nat Biotechnol ; 35(10): 936-939, 2017 Oct.
Article in En | MEDLINE | ID: mdl-28854175
ABSTRACT
We present a tool to measure gene and protein expression levels in single cells with DNA-labeled antibodies and droplet microfluidics. Using the RNA expression and protein sequencing assay (REAP-seq), we quantified proteins with 82 barcoded antibodies and >20,000 genes in a single workflow. We used REAP-seq to assess the costimulatory effects of a CD27 agonist on human CD8+ lymphocytes and to identify and characterize an unknown cell type.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Proteins / Single-Cell Analysis Limits: Humans Language: En Journal: Nat Biotechnol Journal subject: BIOTECNOLOGIA Year: 2017 Document type: Article Affiliation country: United States
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Proteins / Single-Cell Analysis Limits: Humans Language: En Journal: Nat Biotechnol Journal subject: BIOTECNOLOGIA Year: 2017 Document type: Article Affiliation country: United States