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Related Experiment Videos

1-Mb resolution array-based comparative genomic hybridization using a BAC clone set optimized for cancer gene

Joel Greshock1, Tara L Naylor, Adam Margolin

  • 1Abramson Family Cancer Research Institute, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.

Genome Research
|December 16, 2003
PubMed
Summary

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Array-based comparative genomic hybridization (aCGH) offers powerful genome-wide DNA copy number analysis for disease gene discovery. A new high-resolution BAC clone set and associated resources enhance aCGH utility for research applications.

Area of Science:

  • Genomics
  • Molecular Biology
  • Cancer Research

Background:

  • Array-based comparative genomic hybridization (aCGH) is a key technology for identifying DNA copy number alterations.
  • Its application in disease-gene discovery for cancer and developmental disorders is significant.
  • Limited availability of optimized clone sets and analytical software has hindered widespread aCGH adoption.

Purpose of the Study:

  • To develop a high-resolution, array-optimized bacterial artificial chromosome (BAC) clone set for aCGH.
  • To create a comprehensive online resource to support aCGH assay development and data analysis.
  • To facilitate genome-wide DNA copy number analysis and disease gene discovery.

Main Methods:

  • Assembled approximately 4100 human BAC clones with ~1-Mb resolution coverage across the genome.

Related Experiment Videos

  • Included direct coverage of ~400 known cancer genes.
  • Compiled and refined existing clone sets, supplementing for higher resolution and mapping.

    • Main Results:

    • Developed a refined, high-resolution BAC clone set optimized for aCGH.
    • Created a public online resource with clone mapping data, protocols, and specialized analytical software.
    • The resources are designed to improve the consistency and utility of aCGH assays.

    Conclusions:

    • The developed BAC clone set and associated online resources significantly enhance the capabilities of aCGH.
    • These tools are expected to greatly facilitate disease gene discovery in cancer and developmental disorders.
    • The optimized clone set and software suite promote broader utilization of aCGH technology.