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?

194.9K
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...
194.9K
What is Gene Expression?01:36

What is Gene Expression?

11.1K
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...
11.1K
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

16.3K
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...
16.3K
Chromatin Position Affects Gene Expression02:35

Chromatin Position Affects Gene Expression

24.7K
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...
24.7K
mRNA Stability and Gene Expression02:51

mRNA Stability and Gene Expression

6.5K
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
6.5K
Gene Therapy00:59

Gene Therapy

27.4K
Gene therapy is a technique where a gene is inserted into a person’s cells to prevent or treat a serious disease. The added gene may be a healthy version of the gene that is mutated in the patient, or it could be a different gene that inactivates or compensates for the patient’s disease-causing gene. For example, in patients with severe combined immunodeficiency (SCID) due to a mutation in the gene for the enzyme adenosine deaminase, a functioning version of the gene can be...
27.4K

You might also read

Related Articles

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

Sort by
Same author

Biological and clinical characteristics of <i>ETV6</i>::<i>RUNX1</i>-like ALL.

HemaSphere·2026
Same author

UV-induced mutations accumulate during early clonal expansion in aneuploid subtypes of pediatric B-cell precursor acute lymphoblastic leukemia.

Haematologica·2026
Same author

First-year results of the International Leukemia/Lymphoma Target Board for pediatric relapsed and refractory hematological malignancies.

Haematologica·2026
Same author

KMT2A-rearranged B-lymphoblastic lymphomas are skewed towards a more mature developmental stage.

Leukemia·2026
Same author

From the bench of molecular understanding to the bedside of optimal therapy for <i>BCR</i>::<i>ABL1</i> and ABL-class acute lymphoblastic leukemia in children and adolescents.

EJC paediatric oncology·2026
Same author

Immunohistochemical biomarkers to predict adjuvant chemotherapy response in patients with early breast cancer in the MATADOR trial (BOOG 2005-02).

Breast (Edinburgh, Scotland)·2026

Related Experiment Video

Updated: Jan 22, 2026

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

Integrated analysis of DNA copy number and gene expression microarray data using gene sets.

Renée X Menezes1, Marten Boetzer, Melle Sieswerda

  • 1Center for Human and Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands. r.x.menezes@lumc.nl

BMC Bioinformatics
|July 1, 2009
PubMed
Summary

Analyzing gene sets, not individual genes, enhances the detection of associations between DNA copy number and gene expression. This approach improves the identification of genes affected by copy number aberrations for cancer research.

More Related Videos

Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform
13:14

Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform

Published on: August 9, 2009

12.2K
Bacterial Gene Expression Analysis Using Microarrays
29:41

Bacterial Gene Expression Analysis Using Microarrays

Published on: May 27, 2007

9.2K

Related Experiment Videos

Last Updated: Jan 22, 2026

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
Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform
13:14

Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform

Published on: August 9, 2009

12.2K
Bacterial Gene Expression Analysis Using Microarrays
29:41

Bacterial Gene Expression Analysis Using Microarrays

Published on: May 27, 2007

9.2K

Area of Science:

  • Genomics
  • Cancer Biology
  • Bioinformatics

Background:

  • Genes crucial for tumorigenesis often exhibit associations between DNA copy number and RNA expression.
  • Joint analysis of copy number and gene expression is optimal for detecting these associations.
  • Large chromosomal regions with copy number changes can impact multiple genes' expression.

Purpose of the Study:

  • To develop a robust and sensitive method for analyzing copy number and gene expression data.
  • To identify genes whose expression is affected by copy number aberrations.
  • To provide a tool for integrating multiple microarray datasets.

Main Methods:

  • Analysis of copy number and expression array data using gene sets instead of individual genes.
  • Re-analysis of two independent breast cancer datasets.
  • Development of a flexible tool for integrating multiple microarray datasets.

Main Results:

  • The proposed gene set analysis model is robust and sensitive.
  • Similar association patterns between gene dosage and expression were observed in two independent breast cancer datasets.
  • Gene set analysis demonstrated an advantage in detecting associations with long-spanning, low-amplitude copy number aberrations.

Conclusions:

  • A general and flexible tool was developed for integrating multiple microarray datasets.
  • Identifying genes affected by copy number aberrations is a powerful approach for prioritizing targets for functional validation.
  • The method allows for the inclusion of additional explanatory variables and does not require probe mapping.