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?

197.0K
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...
197.0K
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

A non-catalytic function for RAD18 in sustaining glioblastoma proliferation.

Cell reports·2026
Same author

Single-nuclei UPR profiling by flow cytometry reveals bortezomib resistance mechanisms in multiple myeloma.

EMBO molecular medicine·2026
Same author

Inhibition of SUV39H1 as a potent therapeutic target in multiple myeloma.

Haematologica·2026
Same author

Enhancing antitumour response to proteasome inhibitors with inhibitors of insulin-degrading enzyme, a new molecular vulnerability in multiple myeloma.

British journal of pharmacology·2026
Same author

DIS3 licenses B cells for plasma cell differentiation in humans.

Cellular & molecular immunology·2025
Same author

Synthetic Lethal Combinations of DNA Repair Inhibitors and Genotoxic Agents to Target High-Risk Diffuse Large B Cell Lymphoma.

Hematological oncology·2025
Same journal

Tracking Synthetic Adhesins on Bacterial Surfaces with Immunofluorescence Microscopy.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Post-Selection Methods for Analyzing mRNA Display Selections and Optimization of Hits.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

High-Performance Computing in Tandem Mass Spectrometry (MS/MS) Peptide Identification.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Engineering and Adapting Disulfide-Containing Proteins to Enable Intracellular Functionality.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

AI-Driven Protein Research: From Prediction to Design.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Methods for the In Vitro Selection of Protein and Peptide Libraries Using mRNA Display.

Methods in molecular biology (Clifton, N.J.)·2026
See all related articles

Related Experiment Video

Updated: Feb 10, 2026

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 10, 2009

12.2K

Analysis of Global Gene Expression Profiles.

Alboukadel Kassambara1,2, Jerome Moreaux3,4,5,6

  • 1Department of Biological Hematology, CHU Montpellier, Montpellier, France.

Methods in Molecular Biology (Clifton, N.J.)
|May 26, 2018
PubMed
Summary
This summary is machine-generated.

Gene expression profiling (GEP) data from DNA microarrays aids multiple myeloma (MM) research. New bioinformatics tools offer easy access to analyze and visualize this valuable GEP data for improved understanding of MM.

Keywords:
BioinformaticsData miningGenomicScapeMicroarraysMolecular heterogeneityMultiple myeloma

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
Analysis of Global RNA Synthesis at the Single Cell Level following Hypoxia
14:53

Analysis of Global RNA Synthesis at the Single Cell Level following Hypoxia

Published on: May 13, 2014

12.9K

Related Experiment Videos

Last Updated: Feb 10, 2026

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 10, 2009

12.2K
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
Analysis of Global RNA Synthesis at the Single Cell Level following Hypoxia
14:53

Analysis of Global RNA Synthesis at the Single Cell Level following Hypoxia

Published on: May 13, 2014

12.9K

Area of Science:

  • Genomics and Bioinformatics
  • Cancer Biology
  • Hematology

Background:

  • DNA microarrays have significantly advanced the understanding of biological processes and diseases, particularly multiple myeloma (MM).
  • Gene expression profiling (GEP) analyses are crucial for MM classification, risk stratification, target identification, treatment response prediction, and understanding drug resistance.

Purpose of the Study:

  • To address the need for accessible bioinformatics resources for analyzing large public GEP datasets in MM.
  • To present user-friendly, open-access bioinformatics tools for extracting and visualizing key information from MM GEP data.

Main Methods:

  • Development of intuitive bioinformatics tools.
  • Focus on extracting and visualizing prominent features from gene expression profiling data.
  • Ensuring open-access availability of the developed resources.

Main Results:

  • Successful creation of easy-to-use bioinformatics tools.
  • Demonstrated ability to extract and visualize significant patterns from GEP data.
  • Facilitation of enhanced analysis of publicly available MM GEP datasets.

Conclusions:

  • The developed bioinformatics tools provide valuable resources for researchers studying multiple myeloma.
  • These tools simplify the analysis of complex GEP data, promoting further discoveries in MM.
  • Open access to these resources will accelerate research and understanding of MM biology and treatment.