  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.
