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Related Concept Videos

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...
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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...

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Related Experiment Video

Updated: Jul 16, 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

Genome complexity in acute lymphoblastic leukemia is revealed by array-based comparative genomic hybridization.

J C Strefford1, H Worley, K Barber

  • 1Leukaemia Research Cytogenetics Group, Cancer Sciences Division, University of Southampton, UK. JCS@soton.ac.uk

Oncogene
|January 24, 2007
PubMed
Summary

Array-based comparative genomic hybridization (aCGH) detected copy number alterations (CNA) in 83% of acute lymphoblastic leukemia (ALL) patients, revealing greater karyotype complexity than previously known.

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Last Updated: Jul 16, 2026

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

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Area of Science:

  • Genetics
  • Oncology
  • Molecular Biology

Background:

  • Chromosomal abnormalities are crucial for acute lymphoblastic leukemia (ALL) classification and risk stratification.
  • A significant percentage of ALL patients lack clinically relevant chromosomal abnormalities detectable by conventional methods.

Purpose of the Study:

  • To utilize array-based comparative genomic hybridization (aCGH) for genome-wide detection of copy number alterations (CNA) in ALL.
  • To assess the utility of aCGH in identifying CNA in ALL patients where conventional cytogenetics may be insufficient.

Main Methods:

  • Array-based comparative genomic hybridization (aCGH) was performed on DNA from 58 ALL patients.
  • Analysis focused on identifying copy number alterations (CNA) across the genome.

Main Results:

  • CNA were identified in 83% of the 58 ALL cases analyzed.
  • Frequent CNA involved chromosomes 21, 9, 6, 12, 15, 8, and 17.
  • Complex CNA, including deletions and gains, were observed, particularly on chromosomes 6, 15, and 21, indicating higher karyotype complexity.

Conclusions:

  • aCGH is a sensitive method for detecting CNA in ALL, revealing a higher degree of karyotype complexity than conventional cytogenetic analysis.
  • The findings highlight the potential of aCGH for improved classification and risk stratification in ALL patients.