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

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...
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

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...
Master Transcription Regulators02:23

Master Transcription Regulators

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...
RNA Polymerase II Accessory Proteins02:36

RNA Polymerase II Accessory Proteins

Proteins that regulate transcription can do so either via direct contact with RNA Polymerase or through indirect interactions facilitated by adaptors, mediators, histone-modifying proteins, and nucleosome remodelers. Direct interactions to activate transcription is seen in bacteria as well as in some eukaryotic genes. In these cases, upstream activation sequences are adjacent to the promoters, and the activator proteins interact directly with the transcriptional machinery. For example, in...
Transcription Factors02:16

Transcription Factors

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...
Combinatorial Gene Control02:33

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...

You might also read

Related Articles

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

Sort by
Same author

Clinical proof of concept for small molecule mediated inhibition of IL-17 in psoriasis.

PloS one·2026
Same author

Broadening and amplifying the effects of positive psychology courses on college student well-being, mental health, and physical health.

Journal of American college health : J of ACH·2025
Same author

Real-time dynamic single-molecule protein sequencing on an integrated semiconductor device.

Science (New York, N.Y.)·2022
Same author

A Method for Intelligent Allocation of Diagnostic Testing by Leveraging Data from Commercial Wearable Devices: A Case Study on COVID-19.

Research square·2022
Same author

Mutation, selection, and the prevalence of the Caenorhabditis elegans heat-sensitive mortal germline phenotype.

G3 (Bethesda, Md.)·2022
Same author

Dual isoform sequencing reveals complex transcriptomic and epitranscriptomic landscapes of a prototype baculovirus.

Scientific reports·2022

Related Experiment Video

Updated: May 18, 2026

Identifying Transcription Factor Olig2 Genomic Binding Sites in Acutely Purified PDGFRα+ Cells by Low-cell Chromatin Immunoprecipitation Sequencing Analysis
12:29

Identifying Transcription Factor Olig2 Genomic Binding Sites in Acutely Purified PDGFRα+ Cells by Low-cell Chromatin Immunoprecipitation Sequencing Analysis

Published on: April 16, 2018

A highly integrated and complex PPARGC1A transcription factor binding network in HepG2 cells.

Alexandra E Charos1, Brian D Reed, Debasish Raha

  • 1Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut 06520, USA.

Genome Research
|September 8, 2012
PubMed
Summary

This study reveals the core transcriptional network of PPARGC1A, a key regulator of energy metabolism. It uncovers how combinations of transcription factors (TFs) control gene expression, offering insights into metabolic diseases like type II diabetes.

More Related Videos

Promoter Capture Hi-C: High-resolution, Genome-wide Profiling of Promoter Interactions
10:16

Promoter Capture Hi-C: High-resolution, Genome-wide Profiling of Promoter Interactions

Published on: June 28, 2018

Retroviral Scanning: Mapping MLV Integration Sites to Define Cell-specific Regulatory Regions
10:10

Retroviral Scanning: Mapping MLV Integration Sites to Define Cell-specific Regulatory Regions

Published on: May 28, 2017

Related Experiment Videos

Last Updated: May 18, 2026

Identifying Transcription Factor Olig2 Genomic Binding Sites in Acutely Purified PDGFRα+ Cells by Low-cell Chromatin Immunoprecipitation Sequencing Analysis
12:29

Identifying Transcription Factor Olig2 Genomic Binding Sites in Acutely Purified PDGFRα+ Cells by Low-cell Chromatin Immunoprecipitation Sequencing Analysis

Published on: April 16, 2018

Promoter Capture Hi-C: High-resolution, Genome-wide Profiling of Promoter Interactions
10:16

Promoter Capture Hi-C: High-resolution, Genome-wide Profiling of Promoter Interactions

Published on: June 28, 2018

Retroviral Scanning: Mapping MLV Integration Sites to Define Cell-specific Regulatory Regions
10:10

Retroviral Scanning: Mapping MLV Integration Sites to Define Cell-specific Regulatory Regions

Published on: May 28, 2017

Area of Science:

  • Molecular Biology
  • Genomics
  • Systems Biology

Background:

  • PPARGC1A is a crucial coactivator for energy metabolism gene regulation.
  • Its role in human diseases, especially type II diabetes, is significant.
  • Understanding the combinatorial action of PPARGC1A with its partners is limited.

Purpose of the Study:

  • To map the genome-wide PPARGC1A regulatory network in HepG2 cells.
  • To investigate the combinatorial binding and network connectivity of PPARGC1A with its transcription factor (TF) partners.
  • To elucidate the regulatory code governing metabolic gene expression.

Main Methods:

  • Chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) to map genome-wide binding sites.
  • Identification of overrepresented DNA sequence motifs for PPARGC1A network partners.
  • ChIP-seq profiling of six site-specific TF partners and analysis of their combinatorial binding with PPARGC1A.

Main Results:

  • A core PPARGC1A transcriptional regulatory network was identified.
  • Extensive target overlap was observed, including a novel link between PPARGC1A and Heat Shock Factor 1 (HSF1).
  • Distinct TF combinations bound to specific functional gene sets, revealing a combinatorial regulatory code for metabolic processes.

Conclusions:

  • The study provides a framework for understanding systems-level control of metabolic gene expression.
  • Combinatorial TF binding dictates distinct functional gene regulation.
  • The identified network and novel PPARGC1A-HSF1 link offer new insights into metabolic regulation and disease.