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?01:36

What is Gene Expression?

10.4K
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...
10.4K
What is Gene Expression?01:42

What is Gene Expression?

189.9K
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...
189.9K
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

1.2K
The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
1.2K
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

3.7K
3.7K
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

25.4K
Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
Transcription results in the generation of precursor (pre-mRNA) that consists of both exons and introns, which needs further processing before being translated to a...
25.4K
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

16.1K
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...
16.1K

You might also read

Related Articles

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

Sort by
Same author

Social vulnerability index and inflammation: a proteomic analysis linking social context to biological risk in older black adults.

BMC medicine·2026
Same author

Associations of stable psychological traits with multi-omic subtypes of Alzheimer's dementia.

Translational psychiatry·2026
Same author

Long QT Syndrome Type 5 With Coexisting KCNE1 and RYR2 Variants: A Diagnostic Ambiguity.

Clinical case reports·2026
Same author

A scalable approach to investigating sequence-to-function predictions from personal genomes.

Nature methods·2026
Same author

Integrating dorsolateral prefrontal cortex multi-omics and GWAS summary data reveals genetic etiology of Parkinson's disease.

medRxiv : the preprint server for health sciences·2026
Same author

Integrating dorsolateral prefrontal cortex multi-omics and GWAS summary data reveals genetic etiology of Parkinson's disease.

Research square·2026

Related Experiment Video

Updated: Dec 14, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.5K

Deep learning decodes the principles of differential gene expression.

Shinya Tasaki1, Chris Gaiteri1, Sara Mostafavi2

  • 1Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago IL, USA.

Nature Machine Intelligence
|July 17, 2020
PubMed
Summary

A new deep learning model, DEcode, predicts differential gene expression (DE) by analyzing RNA and promoter binding sites. It reveals that RNA-binding factors are key drivers of clinically relevant gene expression changes in individuals.

More Related Videos

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
05:22

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

3.9K
Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

791

Related Experiment Videos

Last Updated: Dec 14, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.5K
Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
05:22

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

3.9K
Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

791

Area of Science:

  • Genomics
  • Systems Biology
  • Computational Biology

Background:

  • Understanding differential gene expression (DE) is crucial for basic and disease biology.
  • Identifying the molecular mechanisms driving DE is a significant challenge.

Purpose of the Study:

  • To develop a systems biology model for predicting DE.
  • To uncover the biological basis of factors influencing gene expression.
  • To provide a tool for researchers to identify molecular mechanisms of DE.

Main Methods:

  • Developed DEcode, a deep learning model.
  • Utilized genome-wide binding site data on RNAs and promoters.
  • Ranked predictive factors influencing gene expression.

Main Results:

  • DEcode accurately predicts clinically relevant gene expression changes between individuals.
  • Post-transcriptional RNA-binding factors were identified as major contributors to predicted DE.
  • The model demonstrated broad applicability in predicting tissue-specific DE, transcript usage, aging drivers, gene coexpression, and frequently DE genes.

Conclusions:

  • DEcode offers a powerful approach to predict differential gene expression and its underlying molecular mechanisms.
  • RNA-binding factors play a critical role in regulating human gene expression variability.
  • The DEcode model has wide-ranging applications for biological discovery across various research areas.