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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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Related Experiment Video

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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Initial characterization of the human central proteome.

Thomas R Burkard1, Melanie Planyavsky, Ines Kaupe

  • 1CeMM - Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 19/3, A-1090 Vienna, Austria.

BMC Systems Biology
|January 29, 2011
PubMed
Summary

Researchers identified a human central proteome of 1,124 ubiquitously expressed proteins. This proteome is crucial for cell functions and offers insights into gene regulation and biological processes.

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Last Updated: Jun 4, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

Area of Science:

  • Proteomics
  • Bioinformatics
  • Human Biology

Background:

  • Investigating the human central proteome, defined as proteins ubiquitously expressed in all human cells.
  • Utilizing large proteomics datasets from seven human cell lines to approximate the central proteome.
  • Employing bioinformatics analyses to understand the composition and properties of this core protein set.

Purpose of the Study:

  • To experimentally identify and characterize the human central proteome.
  • To analyze the functional roles, gene structures, conservation, and network properties of central proteome proteins.
  • To uncover novel aspects of the central proteome, including unannotated proteins and regulatory mechanisms.

Main Methods:

  • State-of-the-art mass spectrometry for experimental protein identification.
  • Bioinformatics analyses for protein identification and characterization.
  • Comparative analysis of gene structures, conservation, interaction networks, and pathways.

Main Results:

  • Identification of a central proteome comprising 1,124 ubiquitously and abundantly expressed proteins.
  • Key functions include proteostasis, primary metabolism, and proliferation.
  • Central proteome proteins are encoded by exon-rich genes, facilitating alternative splicing.
  • The protein interaction network efficiently synchronizes biological processes.
  • A surprising finding of at least 10% of the central proteome having limited functional annotation.

Conclusions:

  • Provides a comprehensive description of the human central proteome, enhancing current knowledge.
  • Highlights the regulatory flexibility and efficient network integration of the central proteome.
  • Makes all data publicly available for further research and dataset comparison.