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Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

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Published on: November 13, 2021

Quality control in mass spectrometry-based proteomics.

Wout Bittremieux^1,2, David L Tabb³, Francis Impens^4,5,6

¹Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium.

Mass Spectrometry Reviews

|August 13, 2017

Summary

This summary is machine-generated.

Quality control in mass spectrometry is crucial for reliable proteomics results. This review details variability sources and solutions, including specialized quality control samples for assessing instrument performance.

Keywords:

mass spectrometry proteomics quality control

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Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification

Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification

Published on: August 17, 2015

Area of Science:

Analytical Chemistry
Proteomics
Biotechnology

Background:

Mass spectrometry (MS) is a complex analytical technique.
MS-based proteomics experiments often exhibit significant variability, hindering accurate and reproducible results.
Robust quality control (QC) is essential for data integrity in MS proteomics.

Purpose of the Study:

To systematically review potential sources of variability in MS proteomics experiments.
To discuss methods for monitoring and mitigating variability across experimental stages.
To highlight the utility of specialized QC samples for assessing instrument performance.

Main Methods:

Literature review of variability in MS proteomics workflows.
Analysis of QC strategies for different experimental phases (sample prep, LC, MS, bioinformatics).
Discussion of QC sample design and application for instrument performance evaluation.

Main Results:

Variability can arise from sample preparation, liquid chromatography, mass spectrometry, and bioinformatics.
Systematic QC approaches are necessary to ensure data accuracy and reproducibility.
Specialized QC samples provide a rigorous method for evaluating instrument performance.

Conclusions:

Implementing comprehensive QC protocols is vital for reliable MS proteomics.
Understanding and controlling variability at each experimental stage is key.
The strategic use of QC samples enhances the confidence in MS-based proteomics data.