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

13.4K
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...
13.4K
Master Transcription Regulators02:23

Master Transcription Regulators

6.9K
Master transcription regulators are regulatory proteins that are predominantly responsible for regulating the expression of multiple genes. Often these genes work in concert to drive a  complex process. Activation of a master transcription regulator can lead to a cascade of transcriptional activation necessary for that outcome. These regulators can directly bind to the regulatory sequences of the various genes involved, or they can indirectly regulate transcription by binding to regulatory...
6.9K

You might also read

Related Articles

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

Sort by
Same author

High-throughput sequencing reveals that microRNA-based regulation, cell wall remodeling and phytohormone signaling orchestrate wheat seminal root development.

Planta·2026
Same author

Scalable longitudinal imaging and transcriptomics of cells in dynamic enclosures.

bioRxiv : the preprint server for biology·2026
Same author

A tumor metabolism-angiogenesis-immune axis governs immunotherapy responses.

bioRxiv : the preprint server for biology·2026
Same author

Leveraging drug-specific genes to identify sensitizers for resistant cancer cell lines.

Cell death discovery·2026
Same author

Estimating time since influenza virus exposure using single-cell proteomic data.

Frontiers in immunology·2026
Same author

Gallic Acid-Responsive microRNAs Reprogram Lignification During Drought Acclimation Process in Spearmint.

Plant biotechnology journal·2026

Related Experiment Video

Updated: Jun 27, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.2K

A Meta-Analysis Approach to Gene Regulatory Network Inference Identifies Key Regulators of Cardiovascular Diseases.

Gerardo Pepe1, Romina Appierdo1,2, Gabriele Ausiello1

  • 1Department of Biology, University of Rome "Tor Vergata", 00133 Rome, Italy.

International Journal of Molecular Sciences
|April 27, 2024
PubMed
Summary
This summary is machine-generated.

This study identifies key gene regulators involved in heart failure (HF) using a meta-analysis approach. Novel transcription factors (TFs) were discovered, offering potential new therapeutic targets for cardiovascular diseases.

Keywords:
cardiomyopathycardiovascular diseasegene regulatory network

More Related Videos

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

704
A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
09:35

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

17.8K

Related Experiment Videos

Last Updated: Jun 27, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.2K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

704
A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
09:35

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

17.8K

Area of Science:

  • Genomics and Molecular Biology
  • Cardiovascular Research
  • Bioinformatics

Background:

  • Cardiovascular diseases (CVDs) are a significant global health burden, with heart failure (HF) subtypes (dilated, ischemic, hypertrophic cardiomyopathies) being areas of intense research.
  • Understanding the complex interplay of genetic and environmental factors in HF pathogenesis is crucial for developing effective treatments.

Purpose of the Study:

  • To construct a Gene Regulatory Network (GRN) for Heart Failure (HF) by integrating data from multiple studies.
  • To identify key transcription factors (TFs) and their regulatory roles in HF pathogenesis.
  • To uncover novel regulators and pathways implicated in different types of cardiomyopathies.

Main Methods:

  • Utilized a Partial Correlation Coefficient (PCC)-based algorithm within a meta-analysis framework to build the GRN.
  • Integrated data from multiple independent studies to enhance the robustness of the findings.
  • Analyzed regulatory associations between transcription factors and structural genes involved in cardiac function.

Main Results:

  • Identified crucial regulatory associations between TFs and structural genes, impacting metabolic pathways (fatty acid metabolism, oxidative stress, epithelial-to-mesenchymal transition, coagulation).
  • Discovered novel TF regulators: FPM315 and OVOL2 for dilated cardiomyopathies; TEAD1 and TEAD2 for dilated and ischemic cardiomyopathies.
  • Uncovered pathway alterations in hypertrophic cardiomyopathy (adipogenesis, oxidative phosphorylation) and identified a role for IL2 STAT5 signaling in HF.

Conclusions:

  • Transcription factor (TF) activity plays a critical role in the initiation and progression of cardiac diseases.
  • The identified novel TFs and pathways represent potential therapeutic targets for managing heart failure and cardiomyopathies.
  • This GRN approach provides valuable insights into the complex molecular mechanisms underlying cardiovascular diseases.