Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cell Specific Gene Expression

Cell Specific Gene Expression

Cell Specific Gene Expression

Cell Specific Gene Expression

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...

Reporter Genes

Reporter Genes

Reporter genes are a type of protein-coding gene that are often tagged to a gene of interest. Once inside a target cell, reporter genes usually produce visually identifiable characteristics like fluorescence and luminescence when expressed along with the gene of interest. Thus, reporter genes “report” the presence or absence of genes of interest in an organism, determine the gene expression pattern, or track the physical location of a DNA segment or protein in the cell.

What is Gene Expression?

What is Gene Expression?

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...

DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

You might also read

Related Articles

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

Sort by

Same author

Fluoroquinolone-resistant <i>Escherichia coli</i> carrying <i>quinolone efflux pump</i> (<i>qepA</i>) with L348-G349 duplication in the absence of V134I substitution.

Microbiology spectrum·2026

Same author

A Pyrone Glucoside from <i>Maerua angolensis</i> Induces Caspase-Dependent Apoptosis and Targets AKT1, PARP-1, and Caspase-7 in Triple-Negative Breast Cancer.

Biomolecules·2026

Same author

Nutritional status of children with heart disease attending outpatient clinic at a tertiary health center in Lagos.

World journal of clinical pediatrics·2026

Same author

Pharmaceutical Binary and Ternary Complexes of Gemcitabine with Aluminum Metal-Organic Framework: Mechano-Chemical Encapsulation, Delayed Drug Release, and Toxicity to Pancreatic Cells.

Pharmaceutics·2026

Same author

Toward Subcellular Action Potential Detection with Nanodiamond Quantum Magnetometry.

Nanomaterials (Basel, Switzerland)·2025

Same author

First report of New Delhi metallo-β-lactamase-6 (bla<sub>NDM-6</sub>) gene in Africa identified in a carbapenem-resistant Acinetobacter baumannii clinical isolate.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases·2025

Search research articles

Related Experiment Video

Updated: Dec 10, 2025

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Published on: July 22, 2020

Investigating Cell Signaling with Gene Expression Datasets.

James Wachira¹, Cleo Hughes-Darden¹, Asamoah Nkwanta²

¹Department of Biology, Morgan State University, 1700 E. Cold Spring Lane, Baltimore, MD 21251.

Coursesource

|August 29, 2020

Summary

This lesson introduces undergraduate students to analyzing large datasets in molecular biology. It enhances scientific communication and quantitative data analysis skills using cell signaling and gene expression examples.

More Related Videos

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

Investigating Drivers of Antireward in Addiction Behavior with Anatomically Specific Single-Cell Gene Expression Methods

Investigating Drivers of Antireward in Addiction Behavior with Anatomically Specific Single-Cell Gene Expression Methods

Published on: August 4, 2022

Related Experiment Videos

Last Updated: Dec 10, 2025

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Published on: July 22, 2020

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

Investigating Drivers of Antireward in Addiction Behavior with Anatomically Specific Single-Cell Gene Expression Methods

Investigating Drivers of Antireward in Addiction Behavior with Anatomically Specific Single-Cell Gene Expression Methods

Published on: August 4, 2022

Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

Modern molecular biology is data-intensive, lacking sufficient instructional resources for undergraduate data analysis.
Undergraduates require training in computational techniques for handling large biological datasets.

Purpose of the Study:

To introduce undergraduate students to essential skills for analyzing large datasets in molecular biology.
To enhance scientific communication and quantitative data analysis abilities in students.
To provide awareness of protocols for analyzing high-content quantitative molecular biology data.

Main Methods:

Active learning sessions integrating data analysis with scientific paper structure exercises.
Utilizing functional genomics databases and quantitative methods for biological data analysis.
Assessment through mini-reports and a final report evaluating understanding and application.

Main Results:

Students gain understanding of signal transduction's role in gene expression control.
Students improve scientific writing and data interpretation skills.
Students develop proficiency in analyzing and inferring from quantitative molecular biology data.

Conclusions:

The lesson effectively equips undergraduates with crucial skills for modern molecular biology research.
The curriculum bridges the gap in instructional resources for computational biology at the undergraduate level.
The modules are adaptable for various courses and can supplement laboratory experiments.