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Author Spotlight: Evaluating Biophysical Assays for Characterizing PROTACS Ternary Complexes
Published on: January 12, 2024
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The ProteomeXchange consortium at 10 years: 2023 update
Eric W Deutsch1, Nuno Bandeira2,3,4, Yasset Perez-Riverol5
1Institute for Systems Biology, Seattle WA 98109, USA.
Nucleic Acids Research
|November 12, 2022
Summary
The ProteomeXchange (PX) consortium standardizes mass spectrometry proteomics data. Recent updates show a significant increase in data submissions and re-use, enhancing bioinformatics resource connectivity.
Area of Science:
- Proteomics
- Bioinformatics
- Data Science
Background:
- Mass spectrometry (MS) is central to high-throughput proteomics.
- The ProteomeXchange (PX) consortium was established to standardize public MS proteomics data submission and dissemination.
- The PX consortium has been operational for 10 years, with significant workflow development.
Purpose of the Study:
- To report developments in the ProteomeXchange consortium since 2020.
- To showcase data submission statistics and trends.
- To highlight improvements in data management and re-use.
Main Methods:
- Review of ProteomeXchange (PX) consortium activities and data.
- Analysis of data submission statistics from PX member resources (PRIDE, PeptideAtlas, MassIVE, jPOST, iProX, Panorama Public).
- Assessment of Universal Spectrum Identifiers and metadata annotation improvements.
Main Results:
- ProteomeXchange has seen a continuous annual increase in dataset submissions.
- Over 34,233 datasets were submitted to PX resources by June 2022, with 58.6% submitted in the last three years.
- Improvements in Universal Spectrum Identifiers and metadata capture, alongside increased data re-use, have been achieved.
Conclusions:
- The ProteomeXchange consortium continues to grow, with substantial increases in data submission and re-use.
- Enhanced data standardization and metadata capture facilitate broader connections and re-use of proteomics data.
- Current practices for managing sensitive human clinical proteomics data are summarized.
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