A Framework for Quality Control in Quantitative Proteomics.

ABSTRACT: A thorough evaluation of the quality, reproducibility, and variability of bottom-up proteomics data is necessary at every stage of a workflow, from planning to analysis. We share vignettes applying adaptable quality control (QC) measures to assess sample preparation, system function, and quantitative analysis. System suitability samples are repeatedly measured longitudinally with targeted methods, and we share examples where they are used on three instrument platforms to identify severe system failures and track function over months to years. Internal QCs incorporated at the protein and peptide levels allow our team to assess sample preparation issues and to differentiate system failures from sample-specific issues. External QC samples prepared alongside our experimental samples are used t

SUBMITTER: Tsantilas KA 

PROVIDER: S-EPMC11973981 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature