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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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Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification
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Published on: August 17, 2015

Whole proteomes as internal standards in quantitative proteomics.

Shao-En Ong1

  • 1Proteomics and Biomarker Discovery Platform, The Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA. song@broadinstitute.org.

Genome Medicine
|August 4, 2010
PubMed
Summary
This summary is machine-generated.

New mass spectrometry methods enable precise protein quantification in tissues. This advance improves the integration of proteomic and transcriptomic data for a deeper understanding of tumor biology.

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Last Updated: Jun 10, 2026

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Published on: August 17, 2015

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

  • Proteomics
  • Quantitative Biology
  • Biotechnology

Background:

  • Mass spectrometry-based quantitative proteomics is advancing rapidly.
  • Stable Isotope Labeling by Amino acids in Cell culture (SILAC) enables the creation of internal standards for protein quantification.
  • Current methods are being refined for improved accuracy and scalability in analyzing complex biological samples.

Discussion:

  • Pooling SILAC-labeled proteomes creates a robust internal standard for quantifying tissue proteomes.
  • This approach enhances the accuracy of protein expression profiling.
  • Improved quantitative accuracy facilitates better integration of proteomic data with transcriptomic data.

Key Insights:

  • Development of a novel, scalable quantitative method for analyzing thousands of proteins in tissue samples.
  • Creation of a whole-proteome stable isotope-labeled internal standard using SILAC.
  • Enhanced quantitative accuracy in tissue proteome analysis.

Outlook:

  • This method promises to redefine our understanding of tumor biology through global protein quantification.
  • Facilitates more powerful downstream bioinformatic analyses.
  • Potential to significantly advance cancer research and diagnostics.