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

Protein Networks02:26

Protein Networks

2.4K
2.4K
Regulation of Metabolism01:19

Regulation of Metabolism

9.5K
Cellular needs and conditions vary from cell to cell and change within individual cells over time. For example, the required enzymes and energetic demands of stomach cells are different from those of fat storage cells, skin cells, blood cells, and nerve cells. Furthermore, a digestive cell works much harder to process and break down nutrients during the time that closely follows a meal compared with many hours after a meal. As these cellular demands and conditions vary, so do the amounts and...
9.5K
Overview of Metabolism01:40

Overview of Metabolism

31.4K
Living cells constantly carry out various chemical reactions which are necessary for their proper functioning. These reactions are interlinked to one another via multiple pathways. The collection of these chemical reactions is known as metabolism.
Plant Metabolism
Sunlight, the primary source of energy in plants, is first absorbed by the chlorophyll pigments present in their leaves. Plants then use this energy to carry out photosynthesis, where water is oxidized into oxygen and carbon dioxide...
31.4K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.7K
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...
13.7K
Overview of Protein Metabolism01:21

Overview of Protein Metabolism

1.4K
Proteins are broken down into amino acids during digestion. Unlike fats and carbohydrates, which are stored for later use, proteins are not. Instead, amino acids are either used to produce ATP through oxidation or contribute to the creation of new proteins for the growth and repair of the body. Any surplus amino acids from the diet are converted into glucose or triglycerides rather than excreted.
Amino acids play various roles in the body once they are absorbed into cells. They are restructured...
1.4K
Covalently Linked Protein Regulators02:04

Covalently Linked Protein Regulators

6.9K
Proteins can undergo many types of post-translational modifications, often in response to changes in their environment. These modifications play an important role in the function and stability of these proteins. Covalently linked molecules include functional groups, such as methyl, acetyl, and phosphate groups, and also small proteins, such as ubiquitin. There are around 200 different types of covalent regulators that have been identified.
These groups modify specific amino acids in a protein....
6.9K

You might also read

Related Articles

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

Sort by
Same author

Catecholamines Activate a Tumour Progression Program in Differentiated Tumour Hepatocytes.

Liver international : official journal of the International Association for the Study of the LiverĀ·2026
Same author

The extracellular matrix in cancer-associated fibrosis: molecular mechanisms and clinical relevance.

JCI insightĀ·2026
Same author

Organ-specific inflammatory profiles during sepsis: divergent macrophage polarization and oxidative stress response in lung and liver in mouse model of caecal ligation and puncture.

Journal of inflammation (London, England)Ā·2026
Same author

PPARĪ³, a key modulator of metabolic reprogramming, stemness and chemoresistance associated with retrodifferentiation in human hepatocellular carcinomas.

Cell death & diseaseĀ·2025
Same author

Reply: Intratumor fibrotic HCC, a subtype matching the Hoshida S1 subclass?

Hepatology (Baltimore, Md.)Ā·2023
Same author

SARS-CoV-2 receptor ACE2 is upregulated by fatty acids in human MASH.

JHEP reports : innovation in hepatologyĀ·2023

Related Experiment Video

Updated: Jul 28, 2025

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

2.5K

Metabolic Networks: Weighted Gene Correlation Network Analysis.

Lise Desquilles1, Orlando Musso2

  • 1INSERM, INRAE, Univ Rennes, Nutrition Metabolisms and Cancer, Rennes, France.

Methods in Molecular Biology (Clifton, N.J.)
|May 31, 2023
PubMed
Summary

Weighted Gene Correlation Network Analysis (WGCNA) identifies gene networks linked to specific biological functions. This methodology guides the creation of WGCNA networks for phenotype-associated studies.

Keywords:
Fatty liver diseaseLiver cancerTranscriptomicsTumor heterogeneity

More Related Videos

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.4K
A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.3K

Related Experiment Videos

Last Updated: Jul 28, 2025

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

2.5K
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.4K
A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.3K

Area of Science:

  • Systems biology
  • Bioinformatics
  • Genomics

Background:

  • Weighted Gene Correlation Network Analysis (WGCNA) is a powerful approach for constructing gene networks.
  • Understanding gene interconnections is crucial for identifying biological functions and sample differences.

Purpose of the Study:

  • To provide a detailed, step-by-step methodology for building WGCNA networks.
  • To associate WGCNA networks with specific phenotypes of interest.

Main Methods:

  • Utilizing Weighted Gene Correlation Network Analysis (WGCNA) to build weighted gene networks.
  • Representing direct interconnections among genes within the network.
  • Associating network modules with phenotypic data.

Main Results:

  • Successfully generated a WGCNA network linked to a phenotype.
  • Identified gene modules associated with biological functions and core functional differences.
  • Demonstrated the utility of WGCNA for phenotype-driven network construction.

Conclusions:

  • The described methodology offers a clear pathway for WGCNA network construction.
  • WGCNA facilitates the discovery of biologically relevant gene modules.
  • Results can be visualized (e.g., Cytoscape) and used for further functional enrichment analysis.