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SwePep, a database designed for endogenous peptides and mass spectrometry.
Maria Fälth1, Karl Sköld, Mathias Norrman
1Laboratory for Biological and Medical Mass Spectrometry, Biomedical Centre, Box 583, Uppsala University, SE-75123 Uppsala, Sweden.
Molecular & Cellular Proteomics : MCP
|February 28, 2006
Summary
A new database, SwePep, accelerates endogenous peptide identification from complex tissues using mass spectrometry. This tool aids peptidomics research by rapidly filtering potential peptides for further confirmation.
Area of Science:
- Biochemistry
- Proteomics
- Bioinformatics
Background:
- Peptidomics research involves identifying endogenous peptides from complex biological samples.
- Current identification methods using mass spectrometry can be time-consuming and face bottlenecks.
Purpose of the Study:
- To develop and introduce the SwePep database for rapid identification of endogenous peptides.
- To improve the efficiency of the peptide identification process in peptidomics.
Main Methods:
- Construction of a relational database (SwePep) using MySQL and Java.
- Comparison of experimental peptide masses against the database, considering post-translational modifications.
- Utilizing mass spectrometry for peptide mass analysis and tandem mass spectrometry for confirmation.
Main Results:
- The SwePep database contains 4180 annotated endogenous peptides from 394 species and 50 novel brain peptides.
- The methodology significantly speeds up the initial identification of potential endogenous peptides.
- Demonstrated successful applications of the SwePep database in peptidomics studies.
Conclusions:
- SwePep offers a fast and efficient intermediate step for endogenous peptide identification.
- This database has the potential to overcome bottlenecks in peptidomics research.
- The SwePep database is publicly accessible to researchers worldwide.