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Article . 2017
License: CC BY SA
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Mass Spectrometry Reviews
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
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Quality control in mass spectrometry‐based proteomics

Authors: Bittremieux, Wout; Tabb, David L.; Impens, Francis; Staes, An; Timmerman, Evy; Martens, Lennart; Laukens, Kris;

Quality control in mass spectrometry‐based proteomics

Abstract

Mass spectrometry is a highly complex analytical technique and mass spectrometry‐based proteomics experiments can be subject to a large variability, which forms an obstacle to obtaining accurate and reproducible results. Therefore, a comprehensive and systematic approach to quality control is an essential requirement to inspire confidence in the generated results. A typical mass spectrometry experiment consists of multiple different phases including the sample preparation, liquid chromatography, mass spectrometry, and bioinformatics stages. We review potential sources of variability that can impact the results of a mass spectrometry experiment occurring in all of these steps, and we discuss how to monitor and remedy the negative influences on the experimental results. Furthermore, we describe how specialized quality control samples of varying sample complexity can be incorporated into the experimental workflow and how they can be used to rigorously assess detailed aspects of the instrument performance.

Country
Belgium
Keywords

Computer. Automation, Proteomics, Quality Control, Computational Biology, Mass Spectrometry, Workflow, Chemistry, proteomics, Humans, quality control, Biology, mass spectrometry, Chromatography, Liquid

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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113
Top 1%
Top 10%
Top 1%
27
11
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bronze