Large-scale plasma
proteomics studies have been transformed
due
to the multiplexing and automation of sample preparation workflows.
However, these workflows can suffer from reproducibility issues, a
lack of standardized quality control (QC) metrics, and the assessment
of variation before liquid chromatography–tandem mass spectrometry
(LC–MS/MS) analysis. The incorporation of robust QC metrics
in sample preparation workflows ensures better reproducibility, lower
assay variation, and better-informed decisions for troubleshooting.
Our laboratory conducted a plasma proteomics study of a cohort of
patient samples (N = 808) using tandem mass tag (TMT)
16-plex batches (N = 58). The proteomic workflow
consisted of protein depletion, protein digestion, TMT labeling, and
fractionation. Five QC sample types (QCstd, QCdig, QCpool, QCTMT, and QCBSA) were
created to measure the performance of sample preparation prior to
the final LC–MS/MS analysis. We measured <10% CV for individual
sample preparation steps in the proteomic workflow based on data from
various QC sample steps. The establishment of robust measures for
QC of sample preparation steps allowed for greater confidence in prepared
samples for subsequent LC–MS/MS analysis. This study also provides
recommendations for standardized QC metrics that can assist with future
large-scale cohort sample preparation workflows.