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Related Concept Videos

Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...

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Related Experiment Video

Updated: May 9, 2026

Quantitative Proteomics Workflow using Multiple Reaction Monitoring Based Detection of Proteins from Human Brain Tissue
11:49

Quantitative Proteomics Workflow using Multiple Reaction Monitoring Based Detection of Proteins from Human Brain Tissue

Published on: August 28, 2021

Method and platform standardization in MRM-based quantitative plasma proteomics.

Andrew J Percy1, Andrew G Chambers, Juncong Yang

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

Journal of Proteomics
|August 13, 2013
PubMed
Summary
This summary is machine-generated.

Standardized reference kits for quantitative plasma proteomics improve data accuracy across different labs and platforms. These kits help validate disease biomarkers using mass spectrometry, enhancing reproducibility in research.

Keywords:
KitsLC/MS/MSMultiple reaction monitoringPlasmaQuantitative proteomicsStandardization

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An HS-MRM Assay for the Quantification of Host-cell Proteins in Protein Biopharmaceuticals by Liquid Chromatography Ion Mobility QTOF Mass Spectrometry

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Related Experiment Videos

Last Updated: May 9, 2026

Quantitative Proteomics Workflow using Multiple Reaction Monitoring Based Detection of Proteins from Human Brain Tissue
11:49

Quantitative Proteomics Workflow using Multiple Reaction Monitoring Based Detection of Proteins from Human Brain Tissue

Published on: August 28, 2021

An HS-MRM Assay for the Quantification of Host-cell Proteins in Protein Biopharmaceuticals by Liquid Chromatography Ion Mobility QTOF Mass Spectrometry
11:09

An HS-MRM Assay for the Quantification of Host-cell Proteins in Protein Biopharmaceuticals by Liquid Chromatography Ion Mobility QTOF Mass Spectrometry

Published on: April 17, 2018

Area of Science:

  • Proteomics
  • Analytical Chemistry
  • Biomarker Discovery

Background:

  • Growing demand for standardized methods in proteomics for precise quantitative data.
  • Need for reproducible validation of disease biomarkers in complex biofluids like blood plasma.
  • Existing lack of performance standards for quantitative plasma proteomics.

Purpose of the Study:

  • To refine and evaluate two previously developed reference kits for quantitative plasma proteomics.
  • To assess the kits' utility in inter- and intra-laboratory testing across multiple liquid chromatography-mass spectrometry (LC/MS) platforms.
  • To demonstrate the value of standardized protocols for reproducible MS-based quantitative data.

Main Methods:

  • Development and refinement of two reference kits: Kit #1 for LC/MRM-MS platform evaluation and Kit #2 for entire analytical workflow performance.
  • Intra- and inter-laboratory testing of the refined kits on six common LC/MS platforms.
  • Analysis of an identical panel of 22 plasma proteins using the kits and platforms.

Main Results:

  • Consistent and similar concentration measurements for 22 plasma proteins were achieved across all tested kits, instrument platforms, and laboratories.
  • Demonstrated high reproducibility of quantitative data irrespective of the analytical setup.
  • Validated the effectiveness of the reference kits in quality control for targeted multiple reaction monitoring (MRM) experiments.

Conclusions:

  • The developed reference kits are valuable tools for quality control in quantitative proteomics.
  • Standardized methods and protocols, facilitated by these kits, significantly improve the reproducibility of MS-based quantitative data.
  • Reinforced the utility of these kits for validating disease biomarkers in complex biological samples.