Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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,...
Investigation of Disease Outbreaks01:23

Investigation of Disease Outbreaks

Multistate foodborne outbreaks pose significant public health risks and require meticulous investigation to identify sources and implement control measures. The Centers for Disease Control and Prevention (CDC) utilizes a dynamic seven-step process for these investigations, integrating data from laboratories, interviews, and environmental assessments to protect public health.Outbreak Detection: The detection of multistate outbreaks typically begins with PulseNet, the CDC's national laboratory...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Covalent linkage between proteins of the inter-alpha-inhibitor family and hyaluronic acid is mediated by a factor produced by granulosa cells.

The Journal of biological chemistry·1996
Same author

Two-tone rate suppression boundaries of cochlear ganglion neurons in normal chickens.

The Journal of the Acoustical Society of America·1996
Same author

Greater ozone-induced inflammatory responses in subjects with asthma.

American journal of respiratory and critical care medicine·1996
Same author

Use of combinatorial peptide libraries to construct functional mimics of tumor epitopes recognized by MHC class I-restricted cytolytic T lymphocytes.

The Journal of experimental medicine·1996
Same author

Recurrent transition at a CG dinucleotide in exon 12 of COL2A1 produces kniest dysplasia with abnormal RNA splicing by chondrocytes and lymphoblasts and interruption of the triple helix of type II collagen.

Annals of the New York Academy of Sciences·1996
Same author

Inogatran, a novel direct low molecular weight thrombin inhibitor, given with, but not after, tissue-plasminogen activator, improves thrombolysis.

The Journal of pharmacology and experimental therapeutics·1996

Related Experiment Video

Updated: May 24, 2026

Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease
08:51

Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease

Published on: September 20, 2024

Network-based analysis of complex diseases.

Z-P Liu1, Y Wang, X-S Zhang

  • 1SIBS-Novo Nordisk Translational Research Centre for PreDiabetes, Shanghai Institutes for Biological Sciences, Shanghai, China.

IET Systems Biology
|February 25, 2012
PubMed
Summary
This summary is machine-generated.

Complex diseases arise from multiple interacting genes, not single ones. Network biology, using high-throughput data, analyzes these gene networks to uncover disease mechanisms and potential treatments.

More Related Videos

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

Related Experiment Videos

Last Updated: May 24, 2026

Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease
08:51

Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease

Published on: September 20, 2024

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

Area of Science:

  • Genomics
  • Systems Biology
  • Computational Biology

Background:

  • Complex diseases are increasingly understood as arising from the interplay of multiple genes rather than individual genetic defects.
  • High-throughput genome-wide data offers a powerful resource for investigating the genetic underpinnings of complex diseases.
  • Biomolecular networks are crucial for bridging the gap between genetic variations (genotypes) and observable traits (phenotypes).

Purpose of the Study:

  • To review current network biology approaches for studying complex diseases.
  • To categorize existing methods based on research focus: disease genes, pathways, network signatures, and drug targets.
  • To evaluate the strengths and limitations of computational and application aspects of these methods.

Main Methods:

  • Review of existing literature on network biology applied to complex diseases.
  • Categorization of methods into disease genes, dysfunctional pathways, network signatures, and drug-target networks.
  • Analysis of high-throughput data and computational tools in network biology research.

Main Results:

  • Existing network biology methods offer diverse strategies for complex disease analysis.
  • Methods are categorized by their focus, providing a structured overview of the field.
  • Pros and cons of computational and application perspectives for each method are summarized.

Conclusions:

  • Network biology provides valuable insights into the biological mechanisms of complex diseases.
  • Further research trends and future directions in this field are identified.
  • The analysis highlights the potential of network-based approaches for understanding and treating complex diseases.