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Related Concept Videos

Proteomics01:33

Proteomics

10.2K
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...
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Protein Networks02:26

Protein Networks

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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

Updated: Mar 30, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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Reproducible quantitative proteotype data matrices for systems biology.

Hannes L Röst1, Lars Malmström2, Ruedi Aebersold3

  • 1Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, CH-8093 Zurich, Switzerland Department of Genetics, Stanford University, Stanford, CA 94305.

Molecular Biology of the Cell
|November 7, 2015
PubMed
Summary
This summary is machine-generated.

Quantitative proteomic measurements are shifting from protein identification to reproducible quantification. These quantitative proteotype maps across many samples will drive systems biology and personalized medicine.

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Area of Science:

  • Proteomics
  • Systems Biology
  • Biotechnology

Background:

  • Traditional proteomics focused on cataloging proteins.
  • Accurate, quantitative data is crucial for understanding biological systems.
  • Advances in mass spectrometry enable large-scale protein quantification.

Purpose of the Study:

  • To highlight the shift in proteomics from protein identification to quantitative analysis.
  • To introduce the concept of quantitative proteotype maps.
  • To emphasize the importance of reproducible, unbiased quantitative proteomic data.

Main Methods:

  • Utilizing mass spectrometry for protein quantification.
  • Generating quantitative matrices of proteins across multiple samples.
  • Measuring large patient cohorts, time series, and experimental perturbations.

Main Results:

  • Proteomics is moving towards reproducible quantification across numerous samples.
  • Quantitative proteotype maps are emerging as a fundamental data type.
  • These maps facilitate the analysis of dynamic biological systems.

Conclusions:

  • Quantitative proteotype maps are essential for advancing systems biology.
  • This data will significantly impact personalized medicine.
  • The future of proteomics lies in reproducible, quantitative data matrices.