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Related Concept Videos

Proteomics01:33

Proteomics

7.8K
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...
7.8K

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Related Experiment Video

Updated: Sep 7, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

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Unbiased spatial proteomics with single-cell resolution in tissues.

Andreas Mund1, Andreas-David Brunner2, Matthias Mann3

  • 1Proteomics Program, The Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Faculty of Health and Medical Sciences, Blegdamsvej 3B, 2200 Copenhagen, Denmark.

Molecular Cell
|June 17, 2022
PubMed
Summary
This summary is machine-generated.

Ultra-sensitive mass spectrometry (MS) proteomics can now analyze proteins in single cells. Unlike noisy single-cell transcriptomes, single-cell proteomes are complete, offering insights for biology and medicine.

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Area of Science:

  • Proteomics
  • Cell Biology
  • Biotechnology

Background:

  • Mass spectrometry (MS)-based proteomics is crucial for quantifying cellular and tissue proteins.
  • Analyzing minute protein quantities, especially at the single-cell level, presents significant technical challenges.

Purpose of the Study:

  • To review challenges and recent advancements in liquid chromatography-MS (LC-MS) for analyzing trace protein amounts.
  • To highlight the application of ultra-sensitive proteomics in single-cell analysis and tissue studies.

Main Methods:

  • Liquid chromatography-mass spectrometry (LC-MS) for ultra-sensitive protein quantification.
  • Integration of MS-based proteomics with multiplexed imaging, spatial transcriptomics, and artificial intelligence.
  • Single-cell laser microdissection for targeted proteomic analysis.

Main Results:

  • Single-cell proteomes are found to be largely complete, contrasting with transcriptomes dominated by stochastic noise.
  • Emerging technologies enable the study of cellular spatial organization through combined imaging and ultra-sensitive proteomics.
  • MS-based proteomics offers an unbiased molecular readout, approaching the functional level of biological systems.

Conclusions:

  • Ultra-sensitive MS-based proteomics is a powerful tool for single-cell and spatial biology.
  • This technology has broad potential applications, from fundamental biological research to precision medicine.