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Related Concept Videos

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%...
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...

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Related Experiment Video

Updated: Jul 7, 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 comparative genomic hybridization copy number profiling: a new tool for translational research in solid

José Luis Costa1, Gerrit Meijer, Bauke Ylstra

  • 1Institute of Molecular Pathology and Immunology of the University of Porto, University of Porto, Porto, Portugal.

Seminars in Radiation Oncology
|March 4, 2008
PubMed
Summary

Array comparative genomic hybridization (CGH) offers a powerful method for cancer research. This DNA-based technique overcomes RNA instability, enabling high-resolution profiling of copy number changes for improved cancer classification and prognosis.

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Last Updated: Jul 7, 2026

Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants
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Published on: November 8, 2017

Area of Science:

  • Molecular oncology
  • Genomics
  • Biomarker discovery

Background:

  • Cancer research is advancing with new molecular genetic technologies.
  • Traditional cancer assessment relied on histology, lacking gene-level detail.
  • Genomic and expression profiling offer global molecular insights into tumors.

Purpose of the Study:

  • To highlight the potential of array comparative genomic hybridization (CGH) in cancer research.
  • To address the limitations of RNA-based profiling by utilizing stable tumor DNA.
  • To explore array CGH's role in advancing cancer classification, prognosis, and outcome prediction.

Main Methods:

  • Utilized array comparative genomic hybridization (CGH) for high-resolution profiling of DNA copy number imbalances.
  • Leveraged stable tumor DNA, accessible from archival paraffin-embedded tissues.
  • Focused on genomic alterations rather than potentially unstable RNA expression.

Main Results:

  • Array CGH enables detailed identification of genomic copy number changes in tumor DNA.
  • This technology provides deeper insights into the molecular biology of various tumor types.
  • Demonstrated the feasibility of global DNA profiling for cancer characterization.

Conclusions:

  • Array CGH is a valuable tool for molecular genetic investigation of cancer.
  • It overcomes the instability issues associated with RNA analysis.
  • Array CGH is poised to become a key technology for improving cancer classification, prognosis, and patient outcomes.