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Related Concept Videos

Proteomics01:33

Proteomics

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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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Subcellular Fractionation01:32

Subcellular Fractionation

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The homogenate obtained after cell lysis contains various membrane-bound organelles that can be further separated into pure fractions by subcellular fractionation. These isolates are used to study specific cellular components, analyze localized protein activity, and are even employed in diagnostics. Fractionation is typically achieved using centrifugation methods, the most common being density-gradient and differential centrifugation.
Differential Centrifugation
Differential centrifugation is...
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The Proteasome01:13

The Proteasome

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Eukaryotic cells can degrade proteins through several pathways. One of the most important among these is the ubiquitin-proteasome pathway. It helps the cell eliminate the misfolded, damaged, or unwarranted cytoplasmic proteins in a highly specific manner.
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The Proteasome02:18

The Proteasome

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Eukaryotic cells can degrade proteins through several pathways. One of the most important amongst these is the ubiquitin-proteasome pathway. It helps the cell eliminate the misfolded, damaged, or unwarranted cytoplasmic proteins in a highly specific manner.
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Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Updated: May 5, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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A perspective on proteomics in cell biology.

Yasmeen Ahmad1, Angus I Lamond1

  • 1Centre for Gene Regulation and Expression, College of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, Scotland, UK.

Trends in Cell Biology
|November 29, 2013
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Mass spectrometry (MS) is now the leading method for protein identification and measurement, revolutionizing cell biology research. Future advancements in MS and proteomics will further enhance system-wide protein characterization, but data sharing remains a challenge.

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Area of Science:

  • Proteomics
  • Cell Biology
  • Analytical Chemistry

Background:

  • Mass spectrometry (MS) has become the primary technique for protein identification and quantification over the last 15 years.
  • Significant advancements in MS sensitivity and resolution have transformed the scope of proteomic analysis.

Purpose of the Study:

  • To provide an overview of the current state-of-the-art in MS-based proteomics.
  • To discuss the future impact of MS and proteomics on cell biology research.
  • To highlight challenges in data sharing and integration within the proteomics community.

Main Methods:

  • Review of current mass spectrometry technologies and applications in proteomics.
  • Analysis of trends and future directions in MS-based protein characterization.
  • Discussion of data management and integration strategies for large-scale proteomic datasets.

Main Results:

  • MS-based proteomics offers unprecedented capabilities for system-wide protein analysis.
  • Continued innovation in MS technology promises further breakthroughs in cell biology.
  • Effective data sharing and integration are critical for realizing the full potential of proteomics.

Conclusions:

  • Mass spectrometry is a cornerstone of modern proteomics and cell biology.
  • Future research will benefit from enhanced MS capabilities and collaborative data approaches.
  • Addressing data integration challenges is essential for advancing the field of proteomics.