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

Combinatorial Gene Control02:33

Combinatorial Gene Control

8.2K
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...
8.2K
Transcription Factors02:16

Transcription Factors

75.5K
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...
75.5K
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

9.6K
Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
9.6K
Master Transcription Regulators02:23

Master Transcription Regulators

6.8K
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...
6.8K
General Transcription Factors01:30

General Transcription Factors

5.1K
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...
5.1K
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

851
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...
851

You might also read

Related Articles

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

Sort by
Same author

Advanced rectal cancer with multiorgan metastasis detected after single fetal death in twin pregnancy: a case report.

AME case reports·2026
Same author

Performance of a self-attention-based model in the task of differentiating clear cell renal cell carcinoma from other renal tumors: variable Vision Transformer (vViT).

The British journal of radiology·2026
Same author

Super-lightweight, low-cost and wireless water quality monitor for remote chlorine rate management in water-circulating cooling facilities.

The Analyst·2026
Same author

A Semi-Automated Deep Learning Model for Diagnosing Placenta Accreta Spectrum (COMPAS): Comparison with Radiologists' Interpretations.

The Tohoku journal of experimental medicine·2026
Same author

A robust and sensitive method for detecting subtle structural differences in bovine serum albumin.

BioTechniques·2026
Same author

TeMPRA: advancing continuing professional development in pediatric rheumatology in Japan.

Pediatric rheumatology online journal·2026

Related Experiment Video

Updated: May 17, 2025

Identification of Transcription Factor Regulators using Medium-Throughput Screening of Arrayed Libraries and a Dual-Luciferase-Based Reporter
11:32

Identification of Transcription Factor Regulators using Medium-Throughput Screening of Arrayed Libraries and a Dual-Luciferase-Based Reporter

Published on: March 27, 2020

6.7K

In silico screening system based on a transcription factors regulatory network only using transcriptomic data.

Tadaaki Nakajima1,2, Kentaro Harada2, Yasuhiro Tomooka2

  • 1Department of Science, Yokohama City University, Yokohama, Japan.

Plos One
|April 7, 2025
PubMed
Summary

We developed in silico screening using TFs regulatory network analysis (ISNA) to identify core transcription factors (TFs) in cell differentiation. ISNA successfully predicted key TFs and identified HMGA2 as a novel core TF in uterine epithelium.

More Related Videos

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
09:44

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes

Published on: March 3, 2015

9.4K
Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome
07:23

Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome

Published on: June 15, 2016

8.3K

Related Experiment Videos

Last Updated: May 17, 2025

Identification of Transcription Factor Regulators using Medium-Throughput Screening of Arrayed Libraries and a Dual-Luciferase-Based Reporter
11:32

Identification of Transcription Factor Regulators using Medium-Throughput Screening of Arrayed Libraries and a Dual-Luciferase-Based Reporter

Published on: March 27, 2020

6.7K
High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
09:44

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes

Published on: March 3, 2015

9.4K
Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome
07:23

Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome

Published on: June 15, 2016

8.3K

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Identifying core transcription factors (TFs) is crucial for understanding cell differentiation.
  • Current methods often require extensive experimental validation.

Purpose of the Study:

  • To develop a computational method for identifying core TFs involved in differentiation using gene expression data.
  • To validate the method's efficacy in predicting known differentiation pathways and discovering novel TFs.

Main Methods:

  • Developed in silico screening using TFs regulatory network analysis (ISNA).
  • ISNA involves estimating promoter regions, constructing TF regulatory networks (TRNs) from sequence data, and identifying core TFs via dissociation constants (Kd).

Main Results:

  • ISNA accurately predicted core TFs in endothelial-to-mesenchymal transition and embryonic stem cell differentiation.
  • Identified HMGA2 as a novel core TF in uterine epithelium, regulating proliferation in response to estrogen.

Conclusions:

  • ISNA is a powerful tool for identifying core TFs from transcriptomic data.
  • This method offers a high-throughput approach to uncover regulatory mechanisms in cell differentiation and disease.