Literature DB >> 34716448

Multiplexed single-cell proteomics using SCoPE2.

Aleksandra A Petelski1,2, Edward Emmott1,2,3, Andrew Leduc1,2, R Gray Huffman1,2, Harrison Specht1,2, David H Perlman1,4, Nikolai Slavov5,6,7.   

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.
© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 34716448      PMCID: PMC8643348          DOI: 10.1038/s41596-021-00616-z

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  12 in total

1.  Increasing the throughput of sensitive proteomics by plexDIA.

Authors:  Jason Derks; Andrew Leduc; Georg Wallmann; R Gray Huffman; Matthew Willetts; Saad Khan; Harrison Specht; Markus Ralser; Vadim Demichev; Nikolai Slavov
Journal:  Nat Biotechnol       Date:  2022-07-14       Impact factor: 68.164

2.  Separation methods in single-cell proteomics: RPLC or CE?

Authors:  Kellye A Cupp-Sutton; Mulin Fang; Si Wu
Journal:  Int J Mass Spectrom       Date:  2022-08-17       Impact factor: 1.934

Review 3.  Dissecting the Heterogeneity of Human Thoracic Aortic Aneurysms Using Single-Cell Transcriptomics.

Authors:  Dogukan Mizrak; Hao Feng; Bo Yang
Journal:  Arterioscler Thromb Vasc Biol       Date:  2022-06-16       Impact factor: 10.514

Review 4.  New horizons in the stormy sea of multimodal single-cell data integration.

Authors:  Christopher A Jackson; Christine Vogel
Journal:  Mol Cell       Date:  2022-01-20       Impact factor: 17.970

Review 5.  Glial Dysfunction and Its Contribution to the Pathogenesis of the Neuronal Ceroid Lipofuscinoses.

Authors:  Keigo Takahashi; Hemanth R Nelvagal; Jenny Lange; Jonathan D Cooper
Journal:  Front Neurol       Date:  2022-04-04       Impact factor: 4.086

6.  Learning from natural variation across the proteomes of single cells.

Authors:  Nikolai Slavov
Journal:  PLoS Biol       Date:  2022-01-05       Impact factor: 8.029

Review 7.  Insights Gained and Future Outlook From scRNAseq Studies in Autoimmune Rheumatic Diseases.

Authors:  Zihan Zheng; Ling Chang; Jingyi Li; Yuzhang Wu; Guangxing Chen; Liyun Zou
Journal:  Front Immunol       Date:  2022-02-17       Impact factor: 7.561

Review 8.  Proteomics in Biomarker Discovery for Tuberculosis: Current Status and Future Perspectives.

Authors:  Jiubiao Guo; Ximeng Zhang; Xinchun Chen; Yi Cai
Journal:  Front Microbiol       Date:  2022-04-26       Impact factor: 5.640

9.  Transforming Chemical Proteomics Enrichment into a High-Throughput Method Using an SP2E Workflow.

Authors:  Tobias Becker; Andreas Wiest; András Telek; Daniel Bejko; Anja Hoffmann-Röder; Pavel Kielkowski
Journal:  JACS Au       Date:  2022-06-30

Review 10.  High-throughput proteomics: a methodological mini-review.

Authors:  Miao Cui; Chao Cheng; Lanjing Zhang
Journal:  Lab Invest       Date:  2022-08-03       Impact factor: 5.502

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.