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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...

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Updated: Jun 19, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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[Quantitative proteomics by SILAC: practicalities and perspectives for an evolving approach].

Anouk Emadali1, Maighread Gallagher-Gambarelli

  • 1CEA, DSV, iRTSV, Laboratoire d'étude de dynamique des protéomes, Grenoble, F-38054, France. anouk.emadali@cea.fr

Medecine Sciences : M/S
|October 24, 2009
PubMed
Summary

Stable isotope labelling by amino acids in cell culture (SILAC) enables accurate protein quantification in cultured cells. A new SILAC mouse model expands this powerful proteomics technique to study tissues and biological fluids.

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Area of Science:

  • Proteomics
  • Quantitative Biology
  • Biochemistry

Context:

  • Mass spectrometry is crucial for global protein change detection.
  • Stable isotope labelling by amino acids in cell culture (SILAC) is a leading quantitative proteomics strategy.
  • SILAC excels in accuracy and ease of use for cultured cells.

Purpose:

  • To detail the SILAC method for precise protein quantification.
  • To highlight SILAC's utility in elucidating cellular mechanisms and identifying disease biomarkers.
  • To introduce the novel SILAC mouse model for extending SILAC applications.

Summary:

  • SILAC involves culturing cells in 'light' or 'heavy' isotope-labelled media for comparative protein synthesis.
  • Mixed cell populations are analyzed via mass spectrometry, calculating relative protein abundance from heavy and light peptide intensities.
  • The development of a SILAC mouse overcomes previous limitations, enabling differential proteomic studies in animal tissues and fluids.

Impact:

  • SILAC facilitates the understanding of complex biological and physiological processes.
  • This technique aids in the discovery of potential biomarkers for various diseases.
  • The SILAC mouse model significantly broadens the scope of quantitative proteomics in preclinical research.