Gatto, Laurent, Aebersold, Ruedi, Cox, Juergen, Demichev, Vadim, Derks, Jason, Emmott, Edward 
ORCID: 0000-0002-3239-8178, Franks, Alexander M, Ivanov, Alexander R, Kelly, Ryan T, Khoury, Luke et al (show 11 more authors)
(2023)
Initial recommendations for performing, benchmarking and reporting single-cell proteomics experiments.
NATURE METHODS, 20 (3).
pp. 375-386.
ISSN 1548-7091, 1548-7105
Abstract
Analyzing proteins from single cells by tandem mass spectrometry (MS) has recently become technically feasible. While such analysis has the potential to accurately quantify thousands of proteins across thousands of single cells, the accuracy and reproducibility of the results may be undermined by numerous factors affecting experimental design, sample preparation, data acquisition and data analysis. We expect that broadly accepted community guidelines and standardized metrics will enhance rigor, data quality and alignment between laboratories. Here we propose best practices, quality controls and data-reporting recommendations to assist in the broad adoption of reliable quantitative workflows for single-cell proteomics. Resources and discussion forums are available at https://single-cell.net/guidelines .
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Proteins, Proteome, Reproducibility of Results, Proteomics, Benchmarking, Tandem Mass Spectrometry |
| Divisions: | Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 24 Apr 2023 07:27 |
| Last Modified: | 07 Dec 2024 21:23 |
| DOI: | 10.1038/s41592-023-01785-3 |
| Open Access URL: | https://arxiv.org/abs/2207.10815 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3169897 |
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