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

DNA Microarrays02:34

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...
Karyotyping01:17

Karyotyping

Describing the number and physical features of chromosomes can reveal abnormalities that underlie genetic diseases. This description is facilitated by special staining techniques that produce a particular banding pattern on each chromosome. State-of-the-art techniques make this approach even more powerful, enabling the detection of individual genes that cause disease.A Simple Chromosome Staining Technique Provides Valuable Scientific InsightSome genetic diseases can be detected by looking at...

You might also read

Related Articles

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

Sort by
Same author

Integrated multiomic profiling reveals 2 distinct splenic marginal zone lymphoma subgroups with prognostic relevance.

Blood advances·2026
Same author

Perceptions of the Likelihood and Importance of Physical Activity Outcomes at 14 Years Affects Physical Fitness at 17 Years.

Child: care, health and development·2026
Same author

Quantification of foscarnet with chromogenic and fluorogenic chemosensors: indicator displacement assays based on metal ion coordination with a catechol ligand moiety.

New journal of chemistry = Nouveau journal de chimie·2026
Same author

Exploring the synergy between telomere length and genomic complexity in CLL.

British journal of haematology·2026
Same author

ATM aberrations in chronic lymphocytic leukemia: del(11q) rather than ATM mutations is an adverse-prognostic biomarker.

Leukemia·2025
Same author

Epigenetic features support the diagnosis of B-cell prolymphocytic leukemia and identify 2 clinicobiological subtypes.

Blood advances·2024

Related Experiment Video

Updated: Jun 24, 2026

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

Array-based comparative genomic hybridization as a tool for analyzing the leukemia genome.

Jon C Strefford1, Helen Parker

  • 1Leukaemia Research Cytogenetics Group, Cancer Sciences Division, University of Southampton, MP822 Duthie Building, Southampton General Hospital, Southampton, SO16 6YD, UK. JCS@soton.ac.uk

Methods in Molecular Biology (Clifton, N.J.)
|March 12, 2009
PubMed
Summary

Comparative genomic hybridization (CGH) analyzes cancer genomes by comparing DNA copy number changes. Microarray-based CGH (aCGH) offers high-resolution genome analysis, presenting new challenges and opportunities.

More Related Videos

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

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
13:21

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients

Published on: June 16, 2017

Related Experiment Videos

Last Updated: Jun 24, 2026

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

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

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
13:21

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients

Published on: June 16, 2017

Area of Science:

  • Molecular Cytogenetics
  • Genomics
  • Cancer Research

Background:

  • Comparative genomic hybridization (CGH) is a pivotal technique in molecular cytogenetics.
  • CGH aids in understanding the cancer genome by detecting DNA copy number alterations.

Purpose of the Study:

  • To introduce the fundamental concepts of array comparative genomic hybridization (aCGH).
  • To provide an overview of the steps involved in successful aCGH processing.
  • To detail materials and methods for BAC and oligonucleotide aCGH.

Main Methods:

  • Hybridization of differentially labeled test (cancer) and reference (control) DNA to a target genome.
  • Utilizing microarray formats (aCGH) for high-resolution mapping of copy number changes.
  • Employing BAC and oligonucleotide arrays for detailed genomic analysis.

Main Results:

  • aCGH enables high-resolution, high-throughput study of the genome.
  • The technique reveals copy number changes by fluorescence ratio analysis.
  • Refinements are provided to enhance data quality and success rates.

Conclusions:

  • aCGH represents a significant advancement over chromosomal templates for genomic analysis.
  • The technique facilitates detailed investigation of cancer genomes.
  • Addressing technical, statistical, and interpretive challenges is crucial for aCGH implementation.