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Updated: Jul 6, 2026
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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
Automated extraction of meaningful pathways from quantitative proteomics data.
Josselin Noirel1, Saw Yen Ow, Guido Sanguinetti
1Department of Chemical and Process Engineering, University of Sheffield, Sheffield, UK.
Briefings in Functional Genomics & Proteomics
|March 11, 2008
Summary
We developed a computational method to integrate quantitative proteomics data into metabolic pathways. This approach identifies collectively up- or down-regulated metabolic pathways for systems biology research.
Area of Science:
- Life Sciences
- Systems Biology
- Computational Biology
Background:
- Life sciences generate vast amounts of data due to technological advancements.
- Systems Biology utilizes complex models to understand biological component interactions.
- Extracting meaningful insights from large biological datasets requires advanced computational methods.
Purpose of the Study:
- To present a novel computational method for integrating quantitative proteomics data.
- To identify metabolic pathways that are collectively up-regulated or down-regulated.
- To provide a tool for routine dataset characterization in fields like Synthetic Biology.
Main Methods:
- Integration of quantitative proteomics data.
- Utilizing a metabolic scaffold for data organization.
- Identification of coordinated metabolic pathway activity.
Main Results:
- A method to map proteomics data onto metabolic pathways.
- Identification of specific metabolic pathways showing significant changes.
- Enabling the analysis of pathway-level regulation.
Conclusions:
- The proposed method facilitates the interpretation of complex biological data.
- This tool aids in identifying key metabolic alterations from proteomics.
- It serves as a foundation for further research in Synthetic Biology and related fields.
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Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
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These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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