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

Circadian Rhythms and Gene Regulation02:19

Circadian Rhythms and Gene Regulation

The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent years,...
Circadian Rhythms and Gene Regulation02:19

Circadian Rhythms and Gene Regulation

The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent years,...
Diversity in Cell Signaling Responses01:22

Diversity in Cell Signaling Responses

The physiological function of a cell and cellular communication are outcomes of a range of extrinsic signals, intracellular signaling pathways, and cellular responses. No two cell types express the same repertoire of signaling components. Receptors are highly selective for their cognate ligands, but once activated, they can alter multiple cellular processes such as DNA transcription, protein synthesis, and metabolic activity. 
Graded and Abrupt Responses
Some signaling systems generate...
NF-κB-dependent Signaling Pathway02:26

NF-κB-dependent Signaling Pathway

The transcription factor NF-κB was discovered in 1986 in the lab of Nobel laureate Professor David Baltimore, for its interaction with the immunoglobulin light chain enhancer in B-cells. After more than three decades of study, it is now evident that NF-κB regulates the expression of over 100 genes. Most of these genes play an essential role in the innate and adaptive immune responses as well as the inflammatory responses of animals.
NF-κB-dependent Signaling Mechanism
The heterodimer of NF-κB...
TGF - β Signaling Pathway01:16

TGF - β Signaling Pathway

The TGF-β signaling pathway regulates cell growth, differentiation, adhesion, motility, and development. TGF-β ligands that induce TGF-β signaling are synthesized in their latent form. Several proteases or cell surface receptors such as integrins act upon the latent form, releasing the active ligand. There are three types of mammalian TGF-βs: (TGF-β1, TGF-β2, and TGF-β3) that bind as homodimers or heterodimers to TGF-β receptors. The TGF-β receptors are of three kinds RI, RII, and RIII. The RI...
NF-kB-dependent Signaling Pathway02:26

NF-kB-dependent Signaling Pathway

The transcription factor NF-κB was discovered in 1986 in the lab of Nobel laureate Professor David Baltimore, for its interaction with the immunoglobulin light chain enhancer in B-cells. After more than three decades of study, it is now evident that NF-κB regulates the expression of over 100 genes. Most of these genes play an essential role in the innate and adaptive immune responses as well as the inflammatory responses of animals.
NF-κB-dependent Signaling Mechanism
The heterodimer of NF-κB...

You might also read

Related Articles

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

Sort by
Same author

Macrophage-T cell interactions promote SLAMF1 expression for enhanced TB defense.

Nature communications·2025
Same author

Mycobacterium tuberculosis virulence lipid PDIM inhibits autophagy in mice.

Nature microbiology·2024
Same author

Carbon emission warning method for machine tool manufacturing process based on dynamic adaptive EWMA control chart.

Environmental science and pollution research international·2024
Same author

Reconstruction Layout Optimization of Multivariety and Small Batch Workshop in Aerospace Industry.

Computational intelligence and neuroscience·2023
Same author

FSH-blocking therapeutic for osteoporosis.

eLife·2022
Same author

FSH blockade improves cognition in mice with Alzheimer's disease.

Nature·2022

Related Experiment Video

Updated: Jul 6, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

TNF-induced gene expression oscillates in time.

Li Sun1, Guozhe Yang, Mone Zaidi

  • 1Department of Medicine, Mount Sinai School of Medicine, One Gustave L. Levy Place, New York, NY 10029, USA.

Biochemical and Biophysical Research Communications
|April 4, 2008
PubMed
Summary
This summary is machine-generated.

The inflammatory cytokine TNF triggers rapid oscillations in over 5000 genes, revealing gene transcription as a dynamic process. These findings highlight the importance of time-resolved gene expression analysis.

More Related Videos

Real-time Bioluminescence Imaging of Notch Signaling Dynamics during Murine Neurogenesis
10:25

Real-time Bioluminescence Imaging of Notch Signaling Dynamics during Murine Neurogenesis

Published on: December 12, 2019

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions
07:59

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions

Published on: March 22, 2018

Related Experiment Videos

Last Updated: Jul 6, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

Real-time Bioluminescence Imaging of Notch Signaling Dynamics during Murine Neurogenesis
10:25

Real-time Bioluminescence Imaging of Notch Signaling Dynamics during Murine Neurogenesis

Published on: December 12, 2019

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions
07:59

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions

Published on: March 22, 2018

Area of Science:

  • Molecular Biology
  • Genomics
  • Immunology

Background:

  • Gene expression is typically considered stable, with few known examples of oscillatory patterns.
  • Understanding dynamic gene regulation is crucial for deciphering cellular responses to stimuli.

Purpose of the Study:

  • To investigate the global gene expression patterns in response to the inflammatory cytokine TNF.
  • To determine if gene expression exhibits oscillatory behavior and characterize its dynamics.

Main Methods:

  • Utilized microarrays for high-throughput gene expression analysis at 30-minute intervals.
  • Employed quantitative PCR to confirm observed gene expression oscillations.

Main Results:

  • TNF induced significant expression changes (>3-fold) in over 5000 genes (15% of the genome).
  • 89% of these genes displayed oscillations with frequencies as low as every 50 minutes.
  • Oscillations were confirmed to be continuous and not unique to TNF, with RANK-L also inducing oscillations.

Conclusions:

  • Gene transcription is a highly dynamic process with thousands of genes exhibiting rapid oscillations.
  • Time-resolved measurements are essential for accurately capturing gene transcription dynamics.
  • TNF-induced oscillations in gene expression and MAP kinase phosphorylation suggest a cyclical mechanism for transcription factor recruitment.