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 Experiment Videos

Gene expression time delays and Turing pattern formation systems.

E A Gaffney1, N A M Monk

  • 1The School of Mathematics, The University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK. eag@for.mat.bham.ac.uk

Bulletin of Mathematical Biology
|June 24, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Applications of mechanistic modelling to clinical and experimental immunology: an emerging technology to accelerate immunotherapeutic discovery and development.

Clinical and experimental immunology·2018
Same author

Basal Tear Osmolarity as a metric to estimate body hydration and dry eye severity.

Progress in retinal and eye research·2018
Same author

Mechanical Cell-Cell Communication in Fibrous Networks: The Importance of Network Geometry.

Bulletin of mathematical biology·2017
Same author

Modeling Longitudinal Preclinical Tumor Size Data to Identify Transient Dynamics in Tumor Response to Antiangiogenic Drugs.

CPT: pharmacometrics & systems pharmacology·2016
Same author

Vascular phenotype identification and anti-angiogenic treatment recommendation: A pseudo-multiscale mathematical model of angiogenesis.

Journal of theoretical biology·2016
Same author

The mechanics of hyperactivation in adhered human sperm.

Royal Society open science·2015
Same journal

Effects of Seasonal Births and Predation on Disease Spread.

Bulletin of mathematical biology·2026
Same journal

Identifiability, Sensitivity, and Genetic Algorithms in Bacterial Biofilm Selection Models.

Bulletin of mathematical biology·2026
Same journal

Slow Evolution Towards Generalism in a Model of Variable Dietary Range.

Bulletin of mathematical biology·2026
Same journal

CBINN: Cancer Biology-Informed Neural Network for Unknown Parameter Estimation and Missing Physics Identification.

Bulletin of mathematical biology·2026
Same journal

A Cost-Sensitive Behavioral Modeling Analysis of the Early Identification and Control of Infectious Diseases.

Bulletin of mathematical biology·2026
Same journal

Tracking Dynamics of Superspreading Through Contacts, Exposures, and Transmissions in Edge-Based Network Epidemics.

Bulletin of mathematical biology·2026
See all related articles

Gene expression time delays significantly increase pattern formation time in cellular systems. These delays can even cause Turing instability failure on growing domains, impacting reaction-diffusion models.

Area of Science:

  • Mathematical Biology
  • Systems Biology
  • Biophysics

Background:

  • Cellular systems dynamics are influenced by gene expression time delays.
  • Reaction-diffusion mechanisms are crucial for pattern formation in biological systems.

Purpose of the Study:

  • Investigate the impact of gene expression time delays on pattern formation.
  • Analyze effects on stationary and exponentially growing domains.

Main Methods:

  • Simulated a one-dimensional reaction-diffusion model.
  • Incorporated explicit time delays for transcription and translation.
  • Examined pattern formation on static and dynamic domains.

Main Results:

  • Increased time delays dramatically lengthen pattern initiation and stabilization times.

Related Experiment Videos

  • Time delays can cause Turing instability failure on rapidly growing domains.
  • Linear analysis fails to predict these delay-induced instabilities.

    • Conclusions:

    • Explicit gene expression time delays are critical for accurate modeling of cellular pattern formation.
    • Ignoring these delays can lead to significant inaccuracies in reaction-diffusion models.
    • Findings emphasize the importance of temporal dynamics in biological pattern development.