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Related Concept Videos

Proteomics01:33

Proteomics

7.5K
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...
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Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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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...
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Related Experiment Video

Updated: Apr 28, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Study of cellular oncometabolism via multidimensional protein identification technology.

Claire Aukim-Hastie1, Spiros D Garbis2

  • 1Faculty of Health & Medical Sciences, University of Surrey, Guildford, United Kingdom; Faculty of Medicine, Cancer Sciences and CES Units, Institute for Life Sciences, University of Southampton, Southampton, United Kingdom.

Methods in Enzymology
|June 14, 2014
PubMed
Summary

Cellular proteomics, using multidimensional protein identification technology (MuDPIT), offers a robust method for analyzing cancer cell metabolism. This technique enables direct, quantitative proteomic profiling of clinical samples for oncometabolism research.

Keywords:
Liquid chromatographyMass spectrometryMetabolomicsMuDPITProtein biochemistryProteomics

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Area of Science:

  • Biochemistry
  • Oncology
  • Proteomics

Background:

  • Cellular proteomics is a key component of bench-to-bedside translation in clinical applications.
  • Oncogenesis and tumor progression involve significant metabolic alterations, collectively termed oncometabolism.

Purpose of the Study:

  • To describe a multidimensional protein identification technology (MuDPIT)-based strategy for studying the cellular proteome of malignant cells and tissues.
  • To highlight the utility of MuDPIT for analyzing clinical specimens in cancer research.

Main Methods:

  • Utilized a multidimensional protein identification technology (MuDPIT) strategy.
  • Applied the method to analyze the cellular proteome of malignant cells and tissues, including clinical samples.
  • Demonstrated compatibility with reproducible, in-depth analysis of up to a thousand proteins.

Main Results:

  • The MuDPIT strategy proved robust and compatible with the analysis of clinical specimens.
  • The method offers direct, highly sensitive, and reproducible proteomic analysis.
  • MuDPIT provides high resolution, ultra-high mass accuracy, relative quantification, and multiplexing capabilities, limiting costs.

Conclusions:

  • MuDPIT enables direct assessment of the proteomic profile in neoplastic cells and tissues.
  • This technique holds promise as a high-throughput, rapid, quantitative, and cost-effective screening platform for clinical samples in cancer research.