Initial recommendations for performing, benchmarking, and reporting single-cell proteomics experiments
Abstract
Analyzing proteins from single cells by tandem mass spectrometry (MS) has 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. 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.
Cite
@article{arxiv.2207.10815,
title = {Initial recommendations for performing, benchmarking, and reporting single-cell proteomics experiments},
author = {Laurent Gatto and Ruedi Aebersold and Juergen Cox and Vadim Demichev and Jason Derks and Edward Emmott and Alexander M. Franks and Alexander R. Ivanov and Ryan T. Kelly and Luke Khoury and Andrew Leduc and Michael J. MacCoss and Peter Nemes and David H. Perlman and Aleksandra A. Petelski and Christopher M. Rose and Erwin M. Schoof and Jennifer Van Eyk and Christophe Vanderaa and John R. Yates and Nikolai Slavov},
journal= {arXiv preprint arXiv:2207.10815},
year = {2023}
}
Comments
Supporting website: https://single-cell.net/guidelines