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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
ProteoConnections: a bioinformatics platform to facilitate proteome and phosphoproteome analyses
Mathieu Courcelles1, Sébastien Lemieux, Laure Voisin
1IRIC, Institute of Research in Immunology and Cancer, Université de Montréal, Montréal, Canada; Department of Biochemistry, Université de Montréal, Montréal, Canada.
ProteoConnections is a new bioinformatics platform that organizes proteomics data, evaluates quality, and aids interpretation. This tool enhances the analysis of large-scale proteomics and phosphoproteomics datasets for biological discovery.
Area of Science:
- Bioinformatics
- Proteomics
- Computational Biology
Background:
- Large-scale proteomics data requires advanced computational tools for biological insights.
- Existing bioinformatics platforms often lack comprehensive features for proteomics analysis.
Purpose of the Study:
- To develop ProteoConnections, a bioinformatics platform for organizing, evaluating, and interpreting proteomics data.
- To facilitate the analysis of phosphoproteomics data, including site annotation and kinase motif identification.
Main Methods:
- Development of a relational database for storing peptide and protein identifications.
- Integration of post-translational modification (PTM) databases and bioinformatics tools.
- Application of ProteoConnections to phosphoproteomics data from rat intestinal IEC-6 cells.
- Quantitative proteomics data integration for analyzing phosphorylation changes.
Main Results:
- Identification of 9615 phosphorylation sites on 2108 phosphoproteins in rat intestinal cells.
- Annotation of phosphorylation sites based on kinase motifs, conservation, and protein context.
- Revealed biological insights into phosphoprotein regulation, including altered protein interactions.
Conclusions:
- ProteoConnections effectively organizes and analyzes complex proteomics and phosphoproteomics data.
- The platform accelerates data interpretation and provides valuable biological insights.
- Enables quantitative analysis of phosphorylation changes in response to stimuli or inhibitors.
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