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Related Concept Videos

Proteomics01:33

Proteomics

10.0K
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...
10.0K
Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

8.7K
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: Feb 27, 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

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New Apex in Proteome Analysis.

Tony Ly1, Angus I Lamond1

  • 1Centre for Gene Regulation and Expression, University of Dundee, Dundee DD1 5EH, UK.

Cell Systems
|June 30, 2017
PubMed
Summary
This summary is machine-generated.

New workflows allow for fast, in-depth analysis of human cellular and tissue proteomes. This advancement enhances our understanding of complex biological systems.

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Area of Science:

  • Proteomics
  • Cellular Biology
  • Tissue Analysis

Background:

  • Understanding the human proteome is crucial for disease research.
  • Current proteome analysis methods can be time-consuming and complex.

Purpose of the Study:

  • To develop and validate improved sample processing workflows.
  • To enable rapid and deep analysis of human cellular and tissue proteomes.

Main Methods:

  • Development of novel sample preparation techniques.
  • Optimization of mass spectrometry-based proteomic analysis.
  • Bioinformatic pipeline for large-scale proteomic data.

Main Results:

  • Demonstrated significant reduction in sample processing time.
  • Achieved unprecedented depth in proteome coverage.
  • Identified key protein markers in human cells and tissues.

Conclusions:

  • The new workflows provide a powerful tool for proteomic research.
  • Facilitates faster discovery of disease biomarkers.
  • Advances the field of human proteome analysis.