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Related Concept Videos

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...
Protein Networks02:26

Protein Networks

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,...
Protein Networks02:26

Protein Networks

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,...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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Related Experiment Video

Updated: May 16, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

Proteomics: from single molecules to biological pathways.

Sarah R Langley1, Joseph Dwyer, Ignat Drozdov

  • 1King's British Heart Foundation Centre, King's College London, 125 Coldharbour Lane, London SE5 9NU, UK.

Cardiovascular Research
|November 28, 2012
PubMed
Summary
This summary is machine-generated.

Systems biology offers a holistic view of cardiovascular disease, moving beyond single factors to understand complex pathway interactions. This approach integrates multi-omics data for advanced disease insights and interventions.

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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Related Experiment Videos

Last Updated: May 16, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

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

Area of Science:

  • Cardiovascular Research
  • Systems Biology
  • Proteomics

Background:

  • Conventional cardiovascular research often uses a reductionist approach, focusing on individual factors or linear pathways.
  • This overlooks the complex interactions within biological systems crucial for understanding disease.
  • Molecular profiling technologies enable global characterization but present challenges in statistical analysis and data integration.

Purpose of the Study:

  • To explore the interconnectivity of biological pathways in cardiovascular disease using advanced '-omics' technologies.
  • To highlight the potential of systems biology in understanding complex disease mechanisms.
  • To facilitate the integration of multi-omics data for improved cardiovascular research.

Main Methods:

  • Utilizing proteomics for differential expression analysis and protein-protein interaction networks.
  • Integrating proteomics with other '-omics' technologies like transcriptomics and metabolomics.
  • Employing computational modeling techniques for network analysis.

Main Results:

  • Proteins identified through differential expression and interaction networks serve as starting points for functional analysis.
  • Integration of multi-omics data aids in constructing disease-specific networks.
  • Demonstrated the feasibility of a systems biology approach in cardiovascular research.

Conclusions:

  • A systems biology approach advances cardiovascular disease understanding from a single molecule to a biological pathway level.
  • This holistic perspective is essential for accelerating the development of disease-modifying interventions.
  • Integrating multi-omics data is key to uncovering complex cardiovascular disease mechanisms.