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

Combinatorial Gene Control02:33

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
Structure of a Gene01:30

Structure of a Gene

A gene is the fundamental unit of heredity. Every individual has two copies of each gene, one inherited from each parent. Although most people contain the same genes, there is a small fraction that is slightly different amongst people. A gene with a small difference in its sequence of DNA bases forms different alleles, contributing to different phenotypes.
However, only 1% of the DNA is composed of genes that encode proteins; the rest, 99% is non-coding DNA. This non-coding DNA performs...
Organization of Genes02:07

Organization of Genes

Overview
Organization of Genes02:07

Organization of Genes

Overview
General Transcription Factors01:30

General Transcription Factors

Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
Heterochromatin02:38

Heterochromatin

The extent of chromatin compaction can be studied by staining chromatin using specific DNA binding dyes. Under the microscope, the dense-compacted regions that take up more dye are called heterochromatin. Heterochromatin is further classified into two forms – constitutive heterochromatin and facultative heterochromatin.
Constitutive heterochromatin: It is a highly compact region of chromatin that is mostly concentrated in the centromere and telomere. Unlike euchromatin, the amino acid at 9th...

You might also read

Related Articles

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

Sort by
Same author

Special Issue "Human Traits and Genomics: An Integrative Perspective".

International journal of molecular sciences·2026
Same author

A de novo Loss-of-function Variant in RAPGEF6 Supports its Role in Neuropsychiatric Disorders.

Journal of molecular neuroscience : MN·2026
Same author

Beyond STRs: Integrative Forensic Genomics from MPS to Genetic Genealogy and AI-Based Prediction.

Genes·2026
Same author

A De Novo <i>USP24</i> Variant as a Candidate Driver in a Neurodevelopmental Disorder: Insights from Trio-Based Whole-Exome Sequencing.

International journal of molecular sciences·2026
Same author

Performance of Automated Hematology Analyzer Criteria in Detecting Peripheral Blood Smear Abnormalities: A Systematic Literature Review.

International journal of laboratory hematology·2026
Same author

Practical Considerations in the Implementation of Peripheral Smear Review in the Clinical Laboratory.

International journal of laboratory hematology·2026

Related Experiment Video

Updated: Jul 9, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

Different functional classes of genes are characterized by different compositional properties.

Giuseppe D'Onofrio1, Tapash Chandra Ghosh, Salvatore Saccone

  • 1Laboratorio di Evoluzione Molecolare, Stazione Zoologica A. Dohrn, Villa Comunale, 80121 Napoli, Italy. donofrio@szn.it

FEBS Letters
|November 27, 2007
PubMed
Summary

Human genes in cellular metabolism show higher GC3 levels than those in information processing. This suggests selective gene evolution, supported by correlations between GC3 and intron GC levels.

More Related Videos

Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform
09:13

Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform

Published on: January 13, 2016

Unveiling Histone Proteoforms using 2D-TAU Gel Electrophoresis
07:20

Unveiling Histone Proteoforms using 2D-TAU Gel Electrophoresis

Published on: October 18, 2024

Related Experiment Videos

Last Updated: Jul 9, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform
09:13

Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform

Published on: January 13, 2016

Unveiling Histone Proteoforms using 2D-TAU Gel Electrophoresis
07:20

Unveiling Histone Proteoforms using 2D-TAU Gel Electrophoresis

Published on: October 18, 2024

Area of Science:

  • Genomics
  • Molecular Biology
  • Evolutionary Biology

Background:

  • Gene composition varies across functional classes.
  • GC content at the third codon position (GC3) is a key genomic feature.
  • Understanding GC content patterns can reveal evolutionary pressures.

Purpose of the Study:

  • To analyze the GC3 composition of human genes across different functional categories.
  • To investigate evolutionary mechanisms driving observed GC content patterns.
  • To explore the relationship between GC3 and intron GC content (GCi).

Main Methods:

  • Compositional analysis of human genes.
  • Comparison of GC3 levels between functional gene classes (metabolism vs. information processing).
  • Analysis of human/Xenopus orthologous genes to assess GC3 increments and GCi correlations.

Main Results:

  • Genes in cellular metabolism exhibit significantly higher GC3 than those in information storage and processing.
  • GC3 increments in metabolic genes are significantly greater than in information processing genes.
  • A strong positive correlation exists between GC3 and GCi within each functional gene class.

Conclusions:

  • The observed non-random GC increments support the selective hypothesis of gene and genome evolution.
  • GC content patterns are influenced by functional constraints and evolutionary selection.
  • Intron-exon GC content relationships provide insights into gene regulation and evolution.