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Related Concept Videos

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
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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Related Experiment Video

Updated: May 21, 2026

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

MSQuant: a platform for stable isotope-based quantitative proteomics.

Joost W Gouw1, Jeroen Krijgsveld

  • 1Department of Biochemistry and Molecular Biology, Centre for High-Throughput Biology, University of British Columbia, Vancouver, BC, Canada.

Methods in Molecular Biology (Clifton, N.J.)
|June 6, 2012
PubMed
Summary
This summary is machine-generated.

Quantitative proteomics reveals protein dynamics for biological discovery. MSQuant is a versatile platform for analyzing large protein quantification datasets using various labeling strategies.

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Area of Science:

  • Proteomics
  • Quantitative Biology
  • Bioinformatics

Background:

  • Quantitative proteomics is crucial for understanding protein expression dynamics.
  • Identifying biologically relevant proteins aids experimental design.
  • Analyzing large-scale proteomics datasets remains a significant challenge.

Purpose of the Study:

  • To introduce and evaluate MSQuant, a novel platform for protein quantification.
  • To demonstrate the versatility of MSQuant in handling diverse labeling strategies and data formats.

Main Methods:

  • MSQuant platform for protein quantification.
  • Support for multiple stable-isotope labeling and label-free quantification strategies.
  • Compatibility with various mass spectrometry vendor data formats.

Main Results:

  • MSQuant effectively handles large datasets for protein quantification.
  • The platform accommodates diverse labeling techniques.
  • MSQuant supports multiple data formats from different vendors.

Conclusions:

  • MSQuant is a versatile and powerful tool for quantitative proteomics.
  • The platform addresses bottlenecks in analyzing large-scale proteomics data.
  • MSQuant facilitates the identification of biologically relevant proteins.