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Large-scale Top-down Proteomics Using Capillary Zone Electrophoresis Tandem Mass Spectrometry
Published on: October 24, 2018
Adenylylation, MS, and proteomics--Introducing a "new" modification to bottom-up proteomics
Terkel Hansen1, Michel Albers, Christian Hedberg
1Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Dortmund, Germany.
Proteomics
|January 22, 2013
Summary
Adenylylation, a protein modification, can be identified using mass spectrometry. Fragmentation techniques like CID and HCD generate unique ions for specific adenylylated amino acids, enabling robust detection in search engines.
Area of Science:
- Biochemistry
- Proteomics
- Molecular Signaling
Background:
- Adenylylation, the addition of a 5'-adenosine phosphodiester group to proteins, is a known modification.
- Recent research suggests adenylylation acts as a molecular switch in cellular signaling.
- Mass spectrometry (MS) is suitable for adenylylation detection due to mass shifts, but peptide fragmentation patterns are understudied.
Purpose of the Study:
- To systematically investigate the fragmentation of adenylylated peptides.
- To identify characteristic ions and losses for specific adenylylation site identification.
- To optimize adenylylation incorporation into protein identification search engines.
Main Methods:
- Proteolytic digestion of adenylylated proteins.
- Analysis of adenylylated peptides using various MS fragmentation techniques: Electron Transfer Dissociation (ETD), Collision-Induced Dissociation (CID), and Higher-Energy Collisional Dissociation (HCD).
- Incorporation of adenylylation into Mascot search engine parameters.
Main Results:
- Adenylylated peptides exhibit characteristic losses of adenosine monophosphate (AMP) fragments during fragmentation.
- ETD fragmentation results in less complex spectra with minimal AMP fragmentation.
- CID and HCD fragmentation produce specific reporter ions dependent on whether threonine or tyrosine residues are adenylylated, aiding identification.
- Adenylylation can be successfully incorporated and identified using standard search engines like Mascot.
Conclusions:
- Fragmentation patterns of adenylylated peptides provide specific identifiers for adenylylation.
- CID and HCD fragmentation are valuable for identifying adenylylated threonine and tyrosine residues.
- Computational tools like Mascot can effectively identify adenylylation in proteomic datasets.
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