Multiplexed single-cell proteomics using SCoPE2 Article Swipe
Aleksandra A. Petelski
,
Edward Emmott
,
Andrew Leduc
,
R. Gray Huffman
,
Harrison Specht
,
David H. Perlman
,
Nikolai Slavov
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1101/2021.03.12.435034
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1101/2021.03.12.435034
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 over 1,000 proteins per cell while simultaneously increasing the specificity of protein quantification. Isobaric carrier based multiplexed single-cell proteomics is a scalable, reliable, and cost-effective method that can be fully automated and implemented on widely available equipment. It uses inexpensive reagents and is applicable to any sample that can be processed to a single-cell suspension. Here we describe an automated Single Cell ProtEomics (SCoPE2) workflow that allows analyzing about 200 single cells per 24 hours using only standard commercial equipment. We emphasize experimental steps and benchmarks required for achieving quantitative protein analysis. SCoPE2 Protocol
Related Topics
Concepts
Isobaric labeling
Multiplexing
Proteomics
Quantitative proteomics
Computer science
Workflow
Single-cell analysis
Protocol (science)
Tandem mass tag
Scalability
Computational biology
Mass spectrometry
Cell
Chemistry
Chromatography
Biology
Biochemistry
Database
Telecommunications
Pathology
Gene
Alternative medicine
Medicine
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2021.03.12.435034
- https://www.biorxiv.org/content/biorxiv/early/2021/05/04/2021.03.12.435034.full.pdf
- OA Status
- green
- Cited By
- 24
- References
- 59
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3137879571
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3137879571Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2021.03.12.435034Digital Object Identifier
- Title
-
Multiplexed single-cell proteomics using SCoPE2Work title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-03-15Full publication date if available
- Authors
-
Aleksandra A. Petelski, Edward Emmott, Andrew Leduc, R. Gray Huffman, Harrison Specht, David H. Perlman, Nikolai SlavovList of authors in order
- Landing page
-
https://doi.org/10.1101/2021.03.12.435034Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2021/05/04/2021.03.12.435034.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2021/05/04/2021.03.12.435034.full.pdfDirect OA link when available
- Concepts
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Isobaric labeling, Multiplexing, Proteomics, Quantitative proteomics, Computer science, Workflow, Single-cell analysis, Protocol (science), Tandem mass tag, Scalability, Computational biology, Mass spectrometry, Cell, Chemistry, Chromatography, Biology, Biochemistry, Database, Telecommunications, Pathology, Gene, Alternative medicine, MedicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
24Total citation count in OpenAlex
- Citations by year (recent)
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2024: 6, 2023: 3, 2022: 10, 2021: 4, 2016: 1Per-year citation counts (last 5 years)
- References (count)
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59Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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