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Related Concept Videos

Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
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...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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Integrating forward and reverse proteomics to unravel protein function.

Sandrine Palcy1, Eric Chevet

  • 1Organelle Signaling laboratory, Department of Surgery, McGill University, Montreal, Quebec, Canada. palcy@hotmail.com

Proteomics
|October 18, 2006
PubMed
Summary

Forward and reverse proteomics approaches, when integrated with bioinformatics, offer a powerful strategy for understanding protein functions. This combined method aids in systematic protein characterization for systems biology research.

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Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames

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Area of Science:

  • Proteomics
  • Systems Biology
  • Bioinformatics

Background:

  • Current proteomics methods focus on protein identification or expression changes.
  • Identifying protein functions remains a challenge, especially for newly discovered proteins.
  • Systematic analysis of protein functions is crucial for advancing biological research.

Purpose of the Study:

  • To highlight the complementary roles of forward and reverse proteomics.
  • To propose an integrated strategy for definitive protein function understanding.
  • To outline a data integration loop for systematic protein characterization.

Main Methods:

  • Review and synthesis of forward and reverse proteomics strategies.
  • Description of an integrative process combining in silico and experimental resources.
  • Emphasis on bioinformatics support for data integration.

Main Results:

  • Forward and reverse proteomics approaches are complementary for functional proteomics.
  • An integrated dual strategy enables systematic protein function characterization.
  • Bioinformatics is essential for integrating diverse proteomic data.

Conclusions:

  • Integrating forward and reverse proteomics provides a comprehensive approach to understanding protein functions.
  • This integrated strategy facilitates the systematic characterization of protein roles.
  • The combined approach is key to advancing systems biology research.