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

What is Gene Expression?01:42

What is Gene Expression?

196.9K
Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
196.9K
What is Gene Expression?01:36

What is Gene Expression?

11.5K
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is comprised  of nucleotides and proteins are comprised of amino acids, a mediator is required to convert the information encoded in DNA into proteins. This mediator is the messenger RNA (mRNA). mRNA copies the blueprint from DNA by a process called transcription. In eukaryotes, transcription occurs in the nucleus by complementary base-pairing with the DNA template. The mRNA is then...
11.5K
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

16.6K
Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
16.6K
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

5.6K
5.6K
Chromatin Position Affects Gene Expression02:35

Chromatin Position Affects Gene Expression

24.9K
Chromatin is the massive complex of DNA and proteins packaged inside the nucleus. The complexity of chromatin folding and how it is packaged inside the nucleus greatly influences  access to genetic information. Generally, the nucleus' periphery is considered transcriptionally repressive, while the cell's interior is considered a transcriptionally active area. 
Topologically Associated Domains (TADs)
The 3-dimensional positioning of chromatin in the nucleus influences the...
24.9K
mRNA Stability and Gene Expression02:51

mRNA Stability and Gene Expression

6.7K
The structure and stability of mRNA molecules regulates gene expression, as mRNAs are a key step in the pathway from gene to protein. In eukaryotes, the half-life of mRNA varies from a few minutes up to several days. mRNA stability is essential in growth and development. The absence of the proteins regulating its stability, such as tristetraprolin in mice, can cause systemic issues, including bone marrow overgrowth, inflammation, and autoimmunity.
Cis-acting Elements involved in mRNA stability
6.7K

You might also read

Related Articles

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

Sort by
Same author

Topologically Programmed Dual-Channel Covalent Organic Frameworks Decouple Gas and Ion Fluxes for Acidic CO<sub>2</sub> Electroreduction.

Journal of the American Chemical Society·2026
Same author

Laparoscopic removal of retrievable inferior vena cava filters after failed or anticipated technically challenging endovascular retrieval: a retrospective case series of 28 patients.

Frontiers in physiology·2026
Same author

Knockdown of circFOXN3 Promotes the Proliferation and Differentiation of Bovine Myoblasts.

Probiotics and antimicrobial proteins·2026
Same author

Cross-cohort multi-omics analysis identifies novel clusters driven by epithelial-mesenchymal transition signatures in gastric cancer.

Cancer cell international·2026
Same author

The Impact of Prehabilitation on Postoperative Outcomes in Colorectal Cancer: A Meta-Analysis of Randomized Controlled Trials.

Journal of the American Medical Directors Association·2026
Same author

Clinical diagnosis and treatment of transdiaphragmatic intercostal hernia: a retrospective study based on 40 cases.

Frontiers in surgery·2025

Related Experiment Video

Updated: Feb 8, 2026

Author Spotlight: Evaluating Traditional Chinese Therapy for Ankylosing Spondylitis in Mice
04:47

Author Spotlight: Evaluating Traditional Chinese Therapy for Ankylosing Spondylitis in Mice

Published on: October 27, 2023

1.8K

A differential expression network method identifies ankylosing spondylitis-related genes.

Pengji Gao1, Shubin Fu2, Yun Liu3

  • 1Department of Traumatology, Linyi People's Hospital, Linyi 276000, Shandong Province, P.R. China.

Journal of Cancer Research and Therapeutics
|July 5, 2018
PubMed
Summary

Differential Expression Network (DEN) analysis identified key genes EP300 and SHFM1 for ankylosing spondylitis (AS). These genes may serve as novel predictive markers for AS, offering new insights into its molecular mechanisms.

Keywords:
Ankylosing spondylitiscentrality analysisdifferential expression networkhub genes

More Related Videos

Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells
10:34

Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells

Published on: April 14, 2010

16.0K
Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
10:10

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

41.5K

Related Experiment Videos

Last Updated: Feb 8, 2026

Author Spotlight: Evaluating Traditional Chinese Therapy for Ankylosing Spondylitis in Mice
04:47

Author Spotlight: Evaluating Traditional Chinese Therapy for Ankylosing Spondylitis in Mice

Published on: October 27, 2023

1.8K
Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells
10:34

Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells

Published on: April 14, 2010

16.0K
Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
10:10

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

41.5K

Area of Science:

  • Genomics
  • Systems Biology
  • Medical Research

Background:

  • The precise molecular mechanisms underlying ankylosing spondylitis (AS) remain incompletely understood.
  • Identifying key genetic factors is crucial for understanding AS pathogenesis.

Purpose of the Study:

  • To screen critical genes associated with ankylosing spondylitis (AS) using a differential expression network (DEN).
  • To elucidate the underlying molecular mechanisms of AS through network analysis.

Main Methods:

  • Gene expression data for AS patients were analyzed.
  • Differentially expressed genes (DEGs) were identified.
  • A differential expression network (DEN) was constructed to identify hub genes using degree centrality.
  • Pathway enrichment analysis was performed on identified hub genes.

Main Results:

  • A total of 145 DEGs were identified from 20,102 genes.
  • A DEN with 434 differential interactions was constructed.
  • Four hub genes (USP7, hepatoma-derived growth factor, EP300, and SHFM1) were identified; none were DEGs.
  • EP300 and SHFM1 were enriched in prostate cancer, adherens junction, and proteasome pathways.

Conclusions:

  • Differential Expression Network (DEN) analysis provides a more comprehensive approach for studying AS compared to traditional DEG methods.
  • The identified hub genes, particularly EP300 and SHFM1, show potential as novel predictive biomarkers for ankylosing spondylitis (AS).