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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...
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...

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Related Experiment Video

Updated: Jul 3, 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

Detection of exonic copy-number changes using a highly efficient oligonucleotide-based comparative genomic

Yoann Saillour1, Mireille Cossée, France Leturcq

  • 1Institut Cochin, Université Paris Descartes, Paris, France.

Human Mutation
|August 7, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a new array-based comparative genomic hybridization (CGH) method for detecting small exonic copy-number variations. This high-resolution technique successfully identified deletions and duplications in genes linked to cystic fibrosis and muscular dystrophies.

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Area of Science:

  • Genetics
  • Molecular Biology
  • Genomics

Background:

  • Genomic copy-number variations (CNVs) are associated with genetic disorders, impacting gene expression.
  • Detecting smaller, exonic copy-number changes has been a challenge in genetic diagnostics.

Purpose of the Study:

  • To develop and validate a high-throughput oligonucleotide-based comparative genomic hybridization (CGH)-array for detecting exonic deletions and duplications.
  • To apply this method for analyzing genes involved in cystic fibrosis, muscular dystrophies, and sarcoglycanopathies.

Main Methods:

  • Development of a CGH-array containing 158 exons across eight genes.
  • Application of the array for high-throughput screening of deletions and duplications in 35 patient DNA samples.
  • Validation of detected exonic copy-number changes using established methods.

Main Results:

  • Successful development and clinical application of the array for rapid screening of deletions and duplications.
  • Detection of heterozygous deletions/duplications of single exons and mosaic deletions.
  • Demonstrated high resolution, detecting abnormalities as small as 1.5-2 kb.

Conclusions:

  • The developed CGH-array approach offers high resolution and throughput for detecting exonic copy-number variations.
  • This scalable molecular tool is effective for rapid screening in diagnostic settings.
  • The method holds potential for analyzing complex genetic disorders involving multiple genes, such as mental retardation and brain malformations.