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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...
MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...

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Related Experiment Video

Updated: May 23, 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

Analysis of Complex Protein Mixtures Using Multidimensional Protein Identification Technology (MuDPIT).

David M Schieltz, Michael P Washburn

    CSH Protocols
    |April 10, 2012
    PubMed
    Summary

    This protocol details multidimensional protein identification technology (MuDPIT) for analyzing proteomes. MuDPIT uses 2D-LC and MS/MS to resolve and identify peptides in complex mixtures.

    More Related Videos

    Multimer-PAGE: A Method for Capturing and Resolving Protein Complexes in Biological Samples
    07:40

    Multimer-PAGE: A Method for Capturing and Resolving Protein Complexes in Biological Samples

    Published on: May 5, 2017

    Related Experiment Videos

    Last Updated: May 23, 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

    Multimer-PAGE: A Method for Capturing and Resolving Protein Complexes in Biological Samples
    07:40

    Multimer-PAGE: A Method for Capturing and Resolving Protein Complexes in Biological Samples

    Published on: May 5, 2017

    Area of Science:

    • Proteomics
    • Analytical Chemistry
    • Biochemistry

    Background:

    • Complex biological samples contain numerous proteins.
    • Accurate protein identification is crucial for understanding biological processes.

    Purpose of the Study:

    • To describe a protocol for proteome analysis using MuDPIT.
    • To outline the methodology for peptide separation and identification.

    Main Methods:

    • Multidimensional Protein Identification Technology (MuDPIT) coupling 2D-LC with MS/MS.
    • Utilizes a capillary microcolumn packed with strong cation exchange and reversed-phase materials.
    • Integrates sample loading, elution, ionization, mass selection, fragmentation, and database searching.

    Main Results:

    • Successful resolution and identification of peptides from complex mixtures.
    • Demonstrates a streamlined workflow with no additional sample handling post-loading.
    • Leverages advanced search algorithms for accurate protein matching.

    Conclusions:

    • MuDPIT provides a robust method for comprehensive proteome analysis.
    • The described protocol offers an efficient approach to peptide identification.
    • This technique facilitates deep insights into proteomic landscapes.