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

Constitutive and Regulated Gene Expression01:27

Constitutive and Regulated Gene Expression

1.7K
Gene expression in prokaryotes is governed by constitutive and regulated systems, allowing cells to balance the production of essential proteins with adaptive responses to environmental changes.Constitutive Gene ExpressionConstitutive, or housekeeping, genes are continuously expressed as they encode proteins vital for fundamental cellular processes. These include enzymes for glycolysis, ribosomal components for protein synthesis, and proteins involved in DNA replication. Their constant...
1.7K
Structure of a Gene01:30

Structure of a Gene

16.8K
A gene is the fundamental unit of heredity. Every individual has two copies of each gene, one inherited from each parent. Although most people contain the same genes, there is a small fraction that is slightly different amongst people. A gene with a small difference in its sequence of DNA bases forms different alleles, contributing to different phenotypes.
However, only 1% of the DNA is composed of genes that encode proteins; the rest, 99% is non-coding DNA. This non-coding DNA performs...
16.8K
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

27.1K
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...
27.1K
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

4.3K
4.3K
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
Master Transcription Regulators02:23

Master Transcription Regulators

2.9K
2.9K

You might also read

Related Articles

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

Sort by
Same author

Clinical and Radiological Evaluation of Warfarin-Associated Intracerebral Hemorrhage (ICH) in Patients With Mechanical Prosthetic Heart Valves: A Retrospective Observational Study.

Cureus·2026
Same author

Direct MALDI-TOF MS identification from positive blood culture bottles: a time-saving approach to reduce diagnostic delays.

Journal of infection in developing countries·2026
Same author

Targeted mutagenesis in Ehrlichia canis deleting the phage head-to-tail connector protein gene and its assessment as a vaccine candidate preventing canine ehrlichiosis.

Vaccine·2026
Same author

Prevalence, Antimicrobial Resistance, and Molecular Characterization of Vancomycin-Resistant Enterococci in a North Indian Tertiary Care Hospital.

Cureus·2026
Same author

Targeted mutagenesis in <i>Ehrlichia canis</i> deleting the phage head-to-tail connector protein gene and its assessment as a vaccine candidate preventing canine ehrlichiosis.

bioRxiv : the preprint server for biology·2026
Same author

Age estimation using pulp-to-tooth area ratio in maxillary anterior teeth: A study on a Kerala population using Cameriere's method.

Journal of oral and maxillofacial pathology : JOMFP·2026

Related Experiment Video

Updated: Mar 29, 2026

An Ecdysone Receptor-based Singular Gene Switch for Deliberate Expression of Transgene with Robustness, Reversibility, and Negligible Leakiness
06:21

An Ecdysone Receptor-based Singular Gene Switch for Deliberate Expression of Transgene with Robustness, Reversibility, and Negligible Leakiness

Published on: May 7, 2018

7.0K

Revisiting demand rules for gene regulation.

Mahendra Kumar Prajapat1, Kirti Jain1, Debika Choudhury1

  • 1Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai - 400076, India. saini@che.iitb.ac.in.

Molecular Biosystems
|December 3, 2015
PubMed
Summary

Cells may not strictly follow predicted gene regulation rules. Instead, they appear to randomly select functional regulatory network topologies that meet physiological demands, suggesting a "whatever works" approach to gene regulation.

More Related Videos

Chromatin Immunoprecipitation Assay Using Micrococcal Nucleases in Mammalian Cells
11:42

Chromatin Immunoprecipitation Assay Using Micrococcal Nucleases in Mammalian Cells

Published on: May 10, 2019

15.7K
In vivo Application of the REMOTE-control System for the Manipulation of Endogenous Gene Expression
08:54

In vivo Application of the REMOTE-control System for the Manipulation of Endogenous Gene Expression

Published on: March 29, 2019

7.7K

Related Experiment Videos

Last Updated: Mar 29, 2026

An Ecdysone Receptor-based Singular Gene Switch for Deliberate Expression of Transgene with Robustness, Reversibility, and Negligible Leakiness
06:21

An Ecdysone Receptor-based Singular Gene Switch for Deliberate Expression of Transgene with Robustness, Reversibility, and Negligible Leakiness

Published on: May 7, 2018

7.0K
Chromatin Immunoprecipitation Assay Using Micrococcal Nucleases in Mammalian Cells
11:42

Chromatin Immunoprecipitation Assay Using Micrococcal Nucleases in Mammalian Cells

Published on: May 10, 2019

15.7K
In vivo Application of the REMOTE-control System for the Manipulation of Endogenous Gene Expression
08:54

In vivo Application of the REMOTE-control System for the Manipulation of Endogenous Gene Expression

Published on: March 29, 2019

7.7K

Area of Science:

  • Systems Biology
  • Molecular Biology
  • Bioinformatics

Background:

  • Gene regulation networks are crucial for cellular function.
  • Savageau's demand rules propose specific topology choices based on protein requirement frequency.
  • Previous models suggested a deterministic link between protein demand and regulatory topology.

Purpose of the Study:

  • To investigate how cells select regulatory network topologies.
  • To test Savageau's demand rules against natural gene regulatory patterns in E. coli and B. subtilis.
  • To understand the principles governing the evolution and selection of gene regulatory architectures.

Main Methods:

  • Analysis of natural gene regulatory network distributions across different biological levels (genome, systems, micro).
  • Comparative analysis of regulatory topologies for amino acid biosynthesis, transport, and carbon utilization.
  • Computational simulations of gene regulatory networks to model topology selection.

Main Results:

  • Observed deviations from Savageau's demand rules in the natural distribution of topologies in E. coli.
  • Identified an alternative pattern in topology selection when comparing gene regulation demands with actual network structures.
  • Simulations supported the hypothesis that cells select from a pool of dynamically viable networks.

Conclusions:

  • Cellular regulatory topology selection appears to be more flexible than previously assumed.
  • The choice of regulatory topology is likely driven by satisfying physiological requirements rather than strict adherence to demand rules.
  • Cells may employ a 'whatever works' strategy, randomly selecting functional topologies from available options.