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

General Transcription Factors01:30

General Transcription Factors

7.4K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
7.4K
Transcription Factors02:16

Transcription Factors

83.5K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
83.5K
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

1.5K
The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
1.5K
Master Transcription Regulators02:23

Master Transcription Regulators

8.0K
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...
8.0K
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

26.8K
Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
Transcription results in the generation of precursor (pre-mRNA) that consists of both exons and introns, which needs further processing before being translated to a...
26.8K
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

4.2K
4.2K

You might also read

Related Articles

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

Sort by
Same author

Hundreds of cardiac MRI traits derived using 3D diffusion autoencoders share a common genetic architecture.

Nature communications·2026
Same author

Large-scale analysis of temporal gene expression variation in peripheral blood.

Nature communications·2026
Same author

Gene expression integration and similarity score-based modeling improve risk stratification in idiopathic venous thrombophilia.

Journal of thrombosis and haemostasis : JTH·2026
Same author

AI-assisted placenta pathology in clinical use: barriers and opportunities.

Placenta·2026
Same author

Multi-cohort proteogenomic analyses reveal genetic effects across the proteome and diseasome.

Cell·2026
Same author

Biologically inspired digital histology for deep phenotyping of placental composition changes across major lesion types.

Placenta·2026
Same journal

Bi-allelic missense variants in human GPN2 result in Perrault syndrome.

American journal of human genetics·2026
Same journal

Integrative analysis of gastric tissue transcriptomes and gastric cancer GWAS implicates candidate susceptibility genes.

American journal of human genetics·2026
Same journal

A transparent and generalizable deep-learning framework for genomic ancestry prediction.

American journal of human genetics·2026
Same journal

Data-driven RNA phenotyping captures genetically regulated dimensions of the transcriptome.

American journal of human genetics·2026
Same journal

Linkage disequilibrium and allelic heterogeneity explain variation in coronary artery disease risk at 9p21 across populations and reduced effect in Africans.

American journal of human genetics·2026
Same journal

Genome-wide association study and predictors of neonatal blood cell traits in Hispanic newborns.

American journal of human genetics·2026
See all related articles

Related Experiment Video

Updated: Mar 15, 2026

Adipocyte-Specific ATAC-Seq with Adipose Tissues Using Fluorescence-Activated Nucleus Sorting
11:11

Adipocyte-Specific ATAC-Seq with Adipose Tissues Using Fluorescence-Activated Nucleus Sorting

Published on: March 17, 2023

2.8K

Adiposity-Dependent Regulatory Effects on Multi-tissue Transcriptomes.

Craig A Glastonbury1, Ana Viñuela1, Alfonso Buil2

  • 1Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK.

American Journal of Human Genetics
|September 3, 2016
PubMed
Summary
This summary is machine-generated.

Obesity

More Related Videos

Author Spotlight: Semi-Automated Isolation of the Stromal Vascular Fraction from Murine White Adipose Tissue Using a Tissue Dissociator
06:08

Author Spotlight: Semi-Automated Isolation of the Stromal Vascular Fraction from Murine White Adipose Tissue Using a Tissue Dissociator

Published on: May 19, 2023

3.0K
Mechanism of Regulation of Adipocyte Numbers in Adult Organisms Through Differentiation and Apoptosis Homeostasis
08:34

Mechanism of Regulation of Adipocyte Numbers in Adult Organisms Through Differentiation and Apoptosis Homeostasis

Published on: June 3, 2016

15.9K

Related Experiment Videos

Last Updated: Mar 15, 2026

Adipocyte-Specific ATAC-Seq with Adipose Tissues Using Fluorescence-Activated Nucleus Sorting
11:11

Adipocyte-Specific ATAC-Seq with Adipose Tissues Using Fluorescence-Activated Nucleus Sorting

Published on: March 17, 2023

2.8K
Author Spotlight: Semi-Automated Isolation of the Stromal Vascular Fraction from Murine White Adipose Tissue Using a Tissue Dissociator
06:08

Author Spotlight: Semi-Automated Isolation of the Stromal Vascular Fraction from Murine White Adipose Tissue Using a Tissue Dissociator

Published on: May 19, 2023

3.0K
Mechanism of Regulation of Adipocyte Numbers in Adult Organisms Through Differentiation and Apoptosis Homeostasis
08:34

Mechanism of Regulation of Adipocyte Numbers in Adult Organisms Through Differentiation and Apoptosis Homeostasis

Published on: June 3, 2016

15.9K

Area of Science:

  • Genetics
  • Metabolism
  • Obesity Research

Background:

  • Obesity is a global epidemic linked to diseases like type 2 diabetes and cardiovascular disease.
  • Individual responses to obesity vary, potentially due to genetic factors influencing gene expression.
  • Adiposity (body mass index, BMI) affects gene expression, with regulatory variants playing a key role in complex traits.

Purpose of the Study:

  • To identify gene-by-BMI (G × BMI) interactions affecting gene expression regulation.
  • To investigate how genetic factors modify gene expression in response to adiposity.

Main Methods:

  • Utilized multi-tissue RNA-sequencing (RNA-seq) data from the TwinsUK cohort (n=856).
  • Analyzed gene expression data for cis and trans G × BMI interactions.
  • Validated findings in an independent adipose RNA-seq dataset (deCODE genetics, n=754) and using DXA-derived visceral fat volume.

Main Results:

  • Identified 16 cis and 1 trans G × BMI interactions in adipose tissue at a 5% false discovery rate.
  • Top cis interaction involved CHURC1 (rs7143432), top trans interaction involved ZNF423 (rs3851570).
  • Interactions were adipose-specific, enriched for adipocyte enhancers, and regulated genes involved in metabolic and inflammatory processes.

Conclusions:

  • Gene-by-BMI interactions dynamically regulate gene expression, providing a functional basis for varied obesity responses.
  • The findings highlight adipose tissue's role in mediating genetic influences on obesity-related outcomes.
  • An interactive web browser was developed to explore these G × BMI regulatory effects.