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

What is Gene Expression?01:42

What is Gene Expression?

196.9K
Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
196.9K
What is Gene Expression?01:36

What is Gene Expression?

11.5K
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is comprised  of nucleotides and proteins are comprised of amino acids, a mediator is required to convert the information encoded in DNA into proteins. This mediator is the messenger RNA (mRNA). mRNA copies the blueprint from DNA by a process called transcription. In eukaryotes, transcription occurs in the nucleus by complementary base-pairing with the DNA template. The mRNA is then...
11.5K
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

16.6K
Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
16.6K
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

5.6K
5.6K
Chromatin Position Affects Gene Expression02:35

Chromatin Position Affects Gene Expression

24.9K
Chromatin is the massive complex of DNA and proteins packaged inside the nucleus. The complexity of chromatin folding and how it is packaged inside the nucleus greatly influences  access to genetic information. Generally, the nucleus' periphery is considered transcriptionally repressive, while the cell's interior is considered a transcriptionally active area. 
Topologically Associated Domains (TADs)
The 3-dimensional positioning of chromatin in the nucleus influences the...
24.9K
mRNA Stability and Gene Expression02:51

mRNA Stability and Gene Expression

6.7K
The structure and stability of mRNA molecules regulates gene expression, as mRNAs are a key step in the pathway from gene to protein. In eukaryotes, the half-life of mRNA varies from a few minutes up to several days. mRNA stability is essential in growth and development. The absence of the proteins regulating its stability, such as tristetraprolin in mice, can cause systemic issues, including bone marrow overgrowth, inflammation, and autoimmunity.
Cis-acting Elements involved in mRNA stability
6.7K

You might also read

Related Articles

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

Sort by
Same author

<i>Trans</i>-eQTLs reveal the architecture of human gene regulatory networks.

medRxiv : the preprint server for health sciences·2026
Same author

Federated single-cell QTL meta-analysis reveals novel disease mechanisms.

bioRxiv : the preprint server for biology·2026
Same author

Effector-host interactome map links type III secretion systems in healthy gut microbiomes to immune modulation.

Nature microbiology·2026
Same author

Investigating the performance of foundation models on human 3'UTR sequences.

Nucleic acids research·2025
Same author

Integrated single-cell atlas of human atherosclerotic plaques.

Nature communications·2025
Same author

Exploring the omnigenic architecture of selected complex traits.

American journal of human genetics·2025
Same journal

Phase-specific turbulence index derived from vector flow imaging for identifying intraplaque neovascularization in carotid plaques.

Frontiers in cardiovascular medicine·2026
Same journal

The association of remnant cholesterol inflammatory index with the risk of major adverse cardiovascular events in patients with angina undergoing percutaneous coronary intervention: a retrospective study.

Frontiers in cardiovascular medicine·2026
Same journal

Psychological stress and diastolic blood pressure in cardiology outpatients: a multicenter cross-sectional study (from the ABC2X-2026 study).

Frontiers in cardiovascular medicine·2026
Same journal

Long-term efficacy and renal safety of SGLT2 inhibitors in patients with heart failure and advanced chronic kidney disease (stage 4): a propensity score-matched retrospective cohort study.

Frontiers in cardiovascular medicine·2026
Same journal

Multimodal echocardiographic techniques in the diagnosis of cardiac tumors: applications and recent advances.

Frontiers in cardiovascular medicine·2026
Same journal

Association of the apolipoproteins with retinal arteriosclerosis in a health examination population.

Frontiers in cardiovascular medicine·2026
See all related articles

Related Experiment Video

Updated: Feb 8, 2026

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

3.8K

Using Gene Expression to Annotate Cardiovascular GWAS Loci.

Matthias Heinig1,2

  • 1Institute of Computational Biology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany.

Frontiers in Cardiovascular Medicine
|June 21, 2018
PubMed
Summary
This summary is machine-generated.

Genetic variants linked to heart disease risk are often in non-coding DNA. Expression quantitative trait loci (eQTLs) help identify regulatory variants and genes influencing cardiovascular risk.

Keywords:
GWAScardiovascular diseaseeQTLexpression quantitative trait locigenome wide association study

More Related Videos

Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells
10:34

Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells

Published on: April 14, 2010

16.0K
Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

20.6K

Related Experiment Videos

Last Updated: Feb 8, 2026

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

3.8K
Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells
10:34

Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells

Published on: April 14, 2010

16.0K
Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

20.6K

Area of Science:

  • Genetics
  • Cardiovascular Disease Research
  • Bioinformatics

Background:

  • Genome-wide association studies (GWAS) have identified numerous genetic loci associated with cardiovascular phenotypes.
  • A significant proportion of these risk variants reside in non-coding DNA regions (intronic or intergenic), complicating functional interpretation.
  • Non-coding regions contain crucial regulatory sequences that influence gene expression.

Purpose of the Study:

  • To review expression quantitative trait loci (eQTL) resources for cardiovascular genetics.
  • To outline common approaches for identifying candidate genes using eQTL data.
  • To highlight the utility of eQTLs in understanding genetic drivers of cardiovascular risk.

Main Methods:

  • Review of existing literature and databases for eQTL resources relevant to cardiovascular genetics.
  • Description of methodologies employed for eQTL analysis and candidate gene prioritization.
  • Synthesis of information on how eQTLs link genetic variants to gene expression and disease risk.

Main Results:

  • eQTL studies offer a powerful approach to identify regulatory variants in non-coding DNA.
  • These studies facilitate the discovery of genes and pathways causally implicated in cardiovascular risk.
  • A growing number of eQTL resources are becoming available for cardiovascular genetics research.

Conclusions:

  • eQTLs are instrumental in bridging the gap between GWAS findings and functional mechanisms in cardiovascular disease.
  • Utilizing eQTL data is crucial for pinpointing causal genetic variants and regulatory elements.
  • This approach enhances our understanding of the genetic architecture of cardiovascular risk.