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Multiplexed single-cell proteomics using SCoPE2.
Petelski, Aleksandra A; Emmott, Edward; Leduc, Andrew; Huffman, R Gray; Specht, Harrison; Perlman, David H; Slavov, Nikolai.
Affiliation
  • Petelski AA; Department of Bioengineering, Northeastern University, Boston, MA, USA.
  • Emmott E; Barnett Institute, Northeastern University, Boston, MA, USA.
  • Leduc A; Department of Bioengineering, Northeastern University, Boston, MA, USA.
  • Huffman RG; Barnett Institute, Northeastern University, Boston, MA, USA.
  • Specht H; Centre for Proteome Research, Department of Biochemistry & Systems Biology, University of Liverpool, Liverpool, UK.
  • Perlman DH; Department of Bioengineering, Northeastern University, Boston, MA, USA.
  • Slavov N; Barnett Institute, Northeastern University, Boston, MA, USA.
Nat Protoc ; 16(12): 5398-5425, 2021 12.
Article in En | MEDLINE | ID: mdl-34716448
ABSTRACT
Many biological systems are composed of diverse single cells. This diversity necessitates functional and molecular single-cell analysis. Single-cell protein analysis has long relied on affinity reagents, but emerging mass-spectrometry methods (either label-free or multiplexed) have enabled quantifying >1,000 proteins per cell while simultaneously increasing the specificity of protein quantification. Here we describe the Single Cell ProtEomics (SCoPE2) protocol, which uses an isobaric carrier to enhance peptide sequence identification. Single cells are isolated by FACS or CellenONE into multiwell plates and lysed by Minimal ProteOmic sample Preparation (mPOP), and their peptides labeled by isobaric mass tags (TMT or TMTpro) for multiplexed analysis. SCoPE2 affords a cost-effective single-cell protein quantification that can be fully automated using widely available equipment and scaled to thousands of single cells. SCoPE2 uses inexpensive reagents and is applicable to any sample that can be processed to a single-cell suspension. The SCoPE2 workflow allows analyzing ~200 single cells per 24 h using only standard commercial equipment. We emphasize experimental steps and benchmarks required for achieving quantitative protein analysis.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides / Proteome / Proteomics / Single-Cell Analysis Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Nat Protoc Year: 2021 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides / Proteome / Proteomics / Single-Cell Analysis Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Nat Protoc Year: 2021 Document type: Article Affiliation country: