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A Plasma Sample Preparation for Mass Spectrometry using an Automated Workstation
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Establishing Quality Control Metrics for Large-Scale Plasma Proteomic Sample Preparation.

Nekesa C Oliver1, Min Ji Choi1, Albert B Arul1

  • 1Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States.

ACS Measurement Science Au
|August 26, 2024
PubMed
Summary
This summary is machine-generated.

Implementing robust quality control (QC) metrics in plasma proteomics sample preparation improves reproducibility and reduces variation. This study established standardized QC measures for large-scale patient cohort studies using tandem mass tag (TMT) labeling.

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Area of Science:

  • Proteomics
  • Biochemistry
  • Analytical Chemistry

Background:

  • Large-scale plasma proteomics relies on automated sample preparation, but faces reproducibility challenges.
  • Lack of standardized quality control (QC) metrics hinders assessment of pre-analysis variation.
  • Ensuring robust QC is crucial for reproducible proteomics and informed troubleshooting.

Purpose of the Study:

  • To establish and validate standardized quality control (QC) metrics for plasma proteomics sample preparation.
  • To assess the performance of sample preparation steps prior to liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis.
  • To provide recommendations for QC metrics in large-scale cohort studies.

Main Methods:

  • A plasma proteomics study of 808 patient samples using tandem mass tag (TMT) 16-plex batches.
  • Proteomic workflow included protein depletion, digestion, TMT labeling, and fractionation.
  • Five QC sample types (QCstd, QCdig, QCpool, QCTMT, QCBSA) were utilized to monitor preparation steps.

Main Results:

  • Achieved <10% coefficient of variation (CV) for individual sample preparation steps.
  • Demonstrated the effectiveness of QC samples in assessing preparation performance.
  • Established confidence in sample quality before LC-MS/MS analysis.

Conclusions:

  • Robust QC metrics enhance reproducibility and reduce assay variation in large-scale plasma proteomics.
  • Standardized QC measures are essential for reliable cohort sample preparation.
  • Recommendations are provided for future large-scale proteomics workflows.