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

Southern Blot02:57

Southern Blot

Agarose gel electrophoresis is very useful in separating DNA fragments by size. Running a DNA ladder containing fragments of the known length alongside the sample helps determine the approximate length of the sample DNA fragments. However, additional steps are needed to verify the sequence identity of the sample DNA fragments.
Denatured DNA fragments must be transferred onto a carrier membrane from the gel to make it accessible to a probe - a small ssDNA fragment complementary to the target DNA...
FISH - Fluorescent In-situ Hybridization02:07

FISH - Fluorescent In-situ Hybridization

Fluorescence in situ hybridization, or FISH, was developed in the early 1980s and has quickly become one of the most widely used techniques in cytogenetics. Labeled probes are used to bind complementary DNA or RNA sequences on a chromosome or in a region within a cell. Earlier, the probes could only be obtained by cloning or reverse transcription of a DNA template. Currently, the probe oligonucleotides can be synthesized synthetically. Additionally, with the advancement of optical techniques,...
In-situ Hybridization02:31

In-situ Hybridization

In situ hybridization (ISH) is a technique used to detect and localize specific DNA or RNA molecules in cells, tissue, or tissue sections using a labeled probe. The technique was first used in 1969 for the investigation of nucleic acids. It is currently an essential tool in scientific research and clinical settings, especially for diagnostic purposes.
Types of probes and labels
A probe is a complementary strand of DNA or RNA that binds to corresponding nucleotide sequences in a cell. Many...

You might also read

Related Articles

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

Sort by
Same author

Distinct molecular subgroups in pediatric and young-onset meningiomas require age-adapted risk stratification.

Nature communications·2026
Same author

Amsterdam IMAging and Clinical GliOma Dataset; IMAGO.

Scientific data·2026
Same author

Hetairos is a histology-based artificial intelligence model for predicting central nervous system tumor methylation subtypes.

Nature cancer·2026
Same author

AOSNP-ADAPTR resource level-based recommendations on practical diagnostic strategies for ependymomas.

Brain pathology (Zurich, Switzerland)·2026
Same author

Primary Mismatch Repair Deficient Glioma (PMMRDG), IDH-wildtype and H3-wildtype: A Giant Cell Tumor with Potential for Long-Term Survival Occurring at all Ages.

Neuro-oncology·2026
Same author

cIMPACT-NOW update 12: Refining Pathology-based Risk Stratification and Grading for IDH-mutant Gliomas.

Neuro-oncology·2026

Related Experiment Video

Updated: Jul 27, 2026

Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization
16:37

Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization

Published on: August 5, 2008

Comparative genomic hybridization: practical guidelines.

Judith W M Jeuken1, Sandra H E Sprenger, Pieter Wesseling

  • 1Department of Neurology, University Medical Center Nijmegen, The Netherlands. j.jeuken@czzorlnm.azn.nl

Diagnostic Molecular Pathology : the American Journal of Surgical Pathology, Part B
|December 3, 2002
PubMed
Summary

This paper details comparative genomic hybridization (CGH), a method for detecting genome-wide copy number changes. It provides a comprehensive protocol and troubleshooting guide for researchers performing CGH analysis in human neoplasms.

More Related Videos

Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants
09:16

Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants

Published on: February 21, 2015

An Array-based Comparative Genomic Hybridization Platform for Efficient Detection of Copy Number Variations in Fast Neutron-induced Medicago truncatula Mutants
09:32

An Array-based Comparative Genomic Hybridization Platform for Efficient Detection of Copy Number Variations in Fast Neutron-induced Medicago truncatula Mutants

Published on: November 8, 2017

Related Experiment Videos

Last Updated: Jul 27, 2026

Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization
16:37

Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization

Published on: August 5, 2008

Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants
09:16

Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants

Published on: February 21, 2015

An Array-based Comparative Genomic Hybridization Platform for Efficient Detection of Copy Number Variations in Fast Neutron-induced Medicago truncatula Mutants
09:32

An Array-based Comparative Genomic Hybridization Platform for Efficient Detection of Copy Number Variations in Fast Neutron-induced Medicago truncatula Mutants

Published on: November 8, 2017

Area of Science:

  • Genomics
  • Molecular Biology
  • Cancer Research

Background:

  • Comparative genomic hybridization (CGH) is crucial for identifying copy number variations (CNVs) across genomes.
  • Numerous CGH studies have documented chromosomal imbalances in human neoplasms, yet detailed protocols are rarely published.

Framework:

  • This review presents a comprehensive overview of CGH techniques, including common pitfalls and challenges.
  • It details a specific CGH protocol, discussing optimization experiments and critical steps for reliable results.

Implementation:

  • The paper offers a fully described CGH protocol, serving as a practical guideline for new users.
  • It highlights optimization strategies and points requiring special attention during CGH experiments.

Implications:

  • This work aims to guide researchers in establishing sensitive and reliable CGH experiments.
  • It serves as a valuable troubleshooting resource for those encountering difficulties with CGH analysis.