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

[Temporal regulation of gene expression].

M Morange1

  • 1UMR 8541, Département de Biologie, Ecole Normale Supérieure, Paris. morange@wotan.ens.fr

Journal De La Societe De Biologie
|February 26, 2000
PubMed
Summary

Molecular biology traditionally viewed gene expression statically. New technologies reveal gene regulation

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

[The T complex of the mouse: a failure rich with instruction].

Revue d'histoire des sciences·2009
Same author

[The importance of synthetic biology].

Medecine sciences : M/S·2008
Same author

[Georges Canguilhem and 20th-century biology].

Revue d'histoire des sciences·2008
Same author

The field of cancer research: an indicator of present transformations in biology.

Oncogene·2007
Same author

HSFs in development.

Handbook of experimental pharmacology·2006
Same author

Henri Atlan's early writings.

Cellular and molecular biology (Noisy-le-Grand, France)·2005

Area of Science:

  • Molecular Biology
  • Genetics
  • Cellular Biology

Context:

  • Traditional molecular biology models offer a static view of gene expression.
  • Techniques like X-ray crystallography have historically supported this static perspective.
  • Genetics has only recently begun to incorporate the temporal dimension into biological explanations.

Purpose:

  • To highlight the limitations of static models in gene expression.
  • To emphasize the critical role of time in cellular responses and evolution.
  • To introduce the shift towards dynamic models driven by new technologies.

Summary:

  • Gene expression is increasingly understood as a dynamic process influenced by time.
  • Emerging technologies allow visualization of rapid cellular events, challenging static molecular biology paradigms.
  • This shift is crucial for understanding cellular responses, aging, and evolutionary processes.

Impact:

  • The evolution of biological understanding from static to dynamic models is ongoing.
  • Future biological research will likely be reshaped by this dynamic perspective.
  • Understanding the temporal dynamics of gene expression is key to future biological discoveries.

Related Experiment Videos