Kristine A Tsantilas, Gennifer E Merrihew, Julia E Robbins, Richard S Johnson, Jea Park, Deanna L Plubell, Eric Huang, Michael Riffle, Vagisha Sharma, Brendan X MacLean, Josh Eckels, Michael B Bereman, Sandra E Spencer, Andrew N Hoofnagle, Michael J MacCoss
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 real-world case studies 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...
April 13, 2024: bioRxiv