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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
Published on: May 22, 2018
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PhosphoSitePlus, 2014: mutations, PTMs and recalibrations.
Peter V Hornbeck1, Bin Zhang2, Beth Murray2
1Cell Signaling Technology, 3 Trask Lane, Danvers, MA 01923, USA phornbeck@cellsignal.com.
Nucleic Acids Research
|December 18, 2014
Summary
PhosphoSitePlus (PSP) enhances mammalian post-translational modification (PTM) data reliability by reanalyzing mass spectrometry data. New datasets highlight regulatory sites and PTMVars, linking genetic variants to diseases and signaling pathway rewiring.
Area of Science:
- Biochemistry
- Genomics
- Bioinformatics
Background:
- Mammalian post-translational modifications (PTMs) are crucial for cellular processes.
- PhosphoSitePlus (PSP) is a comprehensive database of PTMs, primarily derived from mass spectrometry (MS).
- Ensuring data reliability in large PTM datasets is essential for biological research.
Purpose of the Study:
- To improve the reliability of existing mass spectrometry data in the PhosphoSitePlus database.
- To introduce new curated datasets for enhanced data utility.
- To identify and characterize PTMs impacted by genetic variants (PTMVars) and their potential roles in disease.
Main Methods:
- Reanalysis of over 1,000,000 mass spectrometry spectra using a common analysis standard.
- Filtering of site assignments with P > 0.05 to enhance data quality.
- Integration of missense mutation data from UniPROTKB, TCGA, and other sources with PTM data.
Main Results:
- Over 330,000 non-redundant PTMs are available in PSP, with >95% from MS experiments.
- Reanalysis improved data reliability by applying consistent standards and filtering low-confidence sites.
- Two new datasets were released: 'Regulatory sites' and 'PTMVar', identifying over 25,000 PTMVars.
- PTMVars link missense mutations to over 2000 diseases and hundreds of cancers, including specific counts for phosphorylation, ubiquitylation, acetylation, methylation, and succinylation sites.
Conclusions:
- The reanalysis of MS data significantly enhances the reliability of the PhosphoSitePlus PTM database.
- The new 'Regulatory sites' and 'PTMVar' datasets provide valuable resources for understanding PTM regulation and variant-associated diseases.
- PTMVars represent a critical intersection of genetic variation and PTMs, offering insights into signaling pathway rewiring and disease mechanisms.
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