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Related Experiment Video

Updated: May 15, 2026

A Plasma Sample Preparation for Mass Spectrometry using an Automated Workstation
07:12

A Plasma Sample Preparation for Mass Spectrometry using an Automated Workstation

Published on: April 24, 2020

Standardized protocols for quality control of MRM-based plasma proteomic workflows.

Andrew J Percy1, Andrew G Chambers, Derek S Smith

  • 1University of Victoria - Genome British Columbia Proteomics Centre, Vancouver Island Technology Park, #3101 - 4464 Markham Street, Victoria, BC V8Z 7X8, Canada.

Journal of Proteome Research
|December 19, 2012
PubMed
Summary

Standardized protocols and isotopically labeled internal standards improve the reproducibility of mass spectrometry (MS)-based plasma proteomics. These reference standards are crucial for validating quantitative proteomic data across laboratories, advancing clinical applications.

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Area of Science:

  • Proteomics and Mass Spectrometry
  • Clinical Diagnostics
  • Biomarker Discovery

Background:

  • Mass spectrometry (MS)-based proteomics shows promise for analyzing biological samples like human plasma.
  • Clinical utility of proteomics is hindered by challenges in reproducibility and interlaboratory transferability of MS data.
  • Lack of standardized protocols and reagents impedes reliable quantitative plasma proteomic analyses globally.

Purpose of the Study:

  • To develop standardized protocols and reference standards for reproducible quantitative plasma proteomics using MS.
  • To establish quality control measures for sample preparation and MS platforms in proteomic assays.
  • To assess the efficiency and reproducibility of bottom-up proteomic workflows.

Main Methods:

  • Development of standard operating procedures for multiple reaction monitoring (MRM)-based assays.

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  • Creation of customized isotopically labeled internal standards for quality control.
  • Application of reference standards to a single MS platform and intralaboratory testing.

    • Main Results:

    • Reference standards effectively assessed the efficiency and reproducibility of the entire bottom-up proteomic workflow.
    • Identified errors in sample preparation, MS platform performance, and LC system quality.
    • Demonstrated the importance of standardized controls for reliable quantitative proteomic data.

    Conclusions:

    • Standardized protocols and reference standards are essential for reproducible quantitative plasma proteomics.
    • These advancements are critical for validating disease biomarkers across research and clinical laboratories.
    • The developed methods pave the way for the reliable clinical application of MS-based proteomics.