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Related Concept Videos

Proteomics01:33

Proteomics

7.2K
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...
7.2K
Protein Networks02:26

Protein Networks

3.9K
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,...
3.9K

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Related Experiment Video

Updated: Jun 12, 2025

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

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The revolution in high-throughput proteomics and AI.

Eric J Topol1

  • 1Scripps Research, La Jolla, CA, USA. etopol@scripps.edu.

Science (New York, N.Y.)
|September 26, 2024
PubMed
Summary

High-throughput plasma protein measurement from small blood volumes offers new insights into human health. Integrating this proteomic data with large-scale patient information advances disease understanding and health forecasting.

Area of Science:

  • Biochemistry
  • Genomics
  • Biotechnology

Background:

  • Recent advancements enable measurement of thousands of plasma proteins using minimal blood samples (e.g., SomaLogic >10,000 proteins, Thermo Fisher Olink >5,400 proteins from 2 μl).
  • Large patient cohorts, like the UK Biobank, provide integrated genetic, health, and lifestyle data from extensive populations (500,000 participants).

Purpose of the Study:

  • To explore the potential of integrating high-throughput proteomic data with comprehensive patient information.
  • To gain novel insights into the biological underpinnings of diseases and the aging process.
  • To investigate the possibility of predicting individual health trajectories.

Main Methods:

  • Utilizing high-throughput proteomic assays (SomaLogic, Olink) for large-scale plasma protein quantification.

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Last Updated: Jun 12, 2025

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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  • Integrating proteomic datasets with multi-omic and lifestyle data from large-scale biobanks (e.g., UK Biobank).

    • Main Results:

    • The integration of expansive proteomic data with multi-layered patient information yields new insights.
    • This approach enhances the understanding of disease mechanisms and the aging process.
    • Potential for improved forecasting of individual health trajectories is demonstrated.

    Conclusions:

    • High-throughput plasma proteomics, when combined with large-scale population data, offers a powerful approach to understanding human health.
    • This integrated data strategy can illuminate disease etiology and aging, paving the way for personalized health predictions.