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Related Concept Videos

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...
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Cystic Fibrosis: Pathogenesis01:23

Cystic Fibrosis: Pathogenesis

Cystic fibrosis (CF), an autosomal recessive disorder, significantly affects the function of exocrine glands. This genetically inherited disease is characterized by the production of thick and sticky mucus, which can severely affect various organs and systems in the body.
CF is primarily caused by a genetic mutation in a chromosome 7 gene coding for the cystic fibrosis transmembrane conductance regulator (CFTR) protein. The most common gene mutation leading to CF is the ΔF508 mutation, but...

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

Published on: October 19, 2021

Chapter 5: Network biology approach to complex diseases.

Dong-Yeon Cho1, Yoo-Ah Kim, Teresa M Przytycka

  • 1National Center for Biotechnology Information, NLM, NIH, Bethesda, Maryland, United States of America.

Plos Computational Biology
|January 10, 2013
PubMed
Summary

Complex diseases arise from genetic and environmental factors. Network-based systems biology approaches analyze molecular interactions to understand these intricate diseases and their underlying pathways.

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Area of Science:

  • Genomics and Systems Biology
  • Computational Biology
  • Bioinformatics

Background:

  • Complex diseases result from combined genetic and environmental influences, making pathway analysis challenging due to genetic heterogeneity.
  • Understanding the molecular basis of complex diseases requires advanced computational methods to interpret intricate biological networks.

Purpose of the Study:

  • To explore network-based systems biology approaches for studying complex diseases.
  • To detail how interaction networks are utilized with various data types to identify disease mechanisms.
  • To provide an overview of algorithmic techniques for analyzing complex disease data.

Main Methods:

  • Utilizing physical and functional molecular interaction networks.
  • Applying computational biology algorithms to analyze network organization and cellular communication.
  • Integrating genotype, gene expression, and other data with network analysis.

Main Results:

  • Network approaches reveal higher-level organization within cellular communication.
  • Methods can identify dysregulated pathways, link genotype to phenotype, and explain disease heterogeneity.
  • A diverse range of algorithmic techniques exist, each with specific strengths and limitations.

Conclusions:

  • Network-based systems biology offers powerful tools for dissecting complex diseases.
  • Algorithmic approaches are crucial for uncovering molecular pathways and understanding disease complexity.
  • Further research into these methods will enhance our understanding of disease mechanisms.