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Related Experiment Videos

Using expression arrays for copy number detection: an example from E. coli.

Dmitriy Skvortsov1, Diana Abdueva, Michael E Stitzer

  • 1Molecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, USA. dskvortsov@mednet.ucla.edu <dskvortsov@mednet.ucla.edu>

BMC Bioinformatics
|June 16, 2007
PubMed
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This study presents a new method for high-resolution DNA copy number analysis using Affymetrix microarrays. The approach successfully identified genetic alterations in E. coli mutants, offering a versatile tool for genomic research.

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • High-resolution copy number analysis is now possible due to genome sequencing and tiling arrays.
  • Microarray-based comparative genomic hybridization (array CGH) detects DNA copy number aberrations.
  • Standard expression analysis techniques are unsuitable for array CGH data.

Purpose of the Study:

  • To develop a robust methodology for high-resolution whole-genome DNA copy number analysis.
  • To adapt standard commercial Affymetrix arrays for detecting genetic alterations.
  • To process array CGH data effectively, overcoming limitations of expression analysis techniques.

Main Methods:

  • Developed a novel methodology for high-resolution DNA copy number analysis using Affymetrix expression oligonucleotide microarrays.

Related Experiment Videos

  • Implemented a processing pipeline including normalization, spatial artifact correction, data transformation, and deletion/duplication detection.
  • Applied the approach to analyze copy number variations in E. coli mutants.

    • Main Results:

    • Successfully performed high-resolution analysis of DNA copy number across whole genomes.
    • Identified deleted and amplified DNA regions in E. coli mutants subjected to prolonged starvation.
    • Demonstrated the effectiveness of the novel processing techniques for array CGH data.

    Conclusions:

    • The developed array CGH methodology is robust and flexible for whole-genome analysis.
    • The approach is applicable to standard commercial Affymetrix arrays.
    • The methodology's utility is broad, given the availability of Affymetrix expression chips across various organisms.