Mass Spectrometry‐Based Analysis of Time‐Resolved Proteome Quantification

The aspect of time is essential in biological processes and thus it is important to be able to monitor signaling molecules through time. Proteins are key players in cellular signaling and they respond to many stimuli and change their expression in many time‐dependent processes. Mass spectrometry (MS...

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Bibliographic Details
Published in:Proteomics (Weinheim) 2020-05, Vol.20 (9), p.e1800425-n/a
Main Authors: Valdes, Alberto, Bergström Lind, Sara
Format: Article
Language:English
Subjects:
Animals
Animals, Domestic
Biological activity
comparative proteomics
Humans
interactomics
Mass spectrometry
Mass Spectrometry - methods
mass spectrometry-LC-MS
mass spectrometry–LC‐MS/MS
Mass spectroscopy
Mice
Phosphorylation
posttranslational modification analysis
protein dynamics
Protein Interaction Maps
Protein Processing, Post-Translational
Proteins
Proteins - analysis
Proteins - metabolism
Proteome - analysis
Proteome - metabolism
Proteomes
Proteomics - methods
Rats
Scientific imaging
Signaling
Spectroscopy
Time dependence
time-resolved proteomics
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Summary:The aspect of time is essential in biological processes and thus it is important to be able to monitor signaling molecules through time. Proteins are key players in cellular signaling and they respond to many stimuli and change their expression in many time‐dependent processes. Mass spectrometry (MS) is an important tool for studying proteins, including their posttranslational modifications and their interaction partners—both in qualitative and quantitative ways. In order to distinguish the different trends over time, proteins, modification sites, and interacting proteins must be compared between different time points, and therefore relative quantification is preferred. In this review, the progress and challenges for MS‐based analysis of time‐resolved proteome dynamics are discussed. Further, aspects on model systems, technologies, sampling frequencies, and presentation of the dynamic data are discussed.
ISSN:1615-9853
1615-9861
1615-9861
DOI:10.1002/pmic.201800425