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


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Authors

Skvortsov, Dmitriy 
Abdueva, Diana 
Stitzer, Michael E 
Finkel, Steven E 
Tavaré, Simon 

Abstract

BACKGROUND: The sequencing of many genomes and tiling arrays consisting of millions of DNA segments spanning entire genomes have made high-resolution copy number analysis possible. Microarray-based comparative genomic hybridization (array CGH) has enabled the high-resolution detection of DNA copy number aberrations. While many of the methods and algorithms developed for the analysis microarrays have focused on expression analysis, the same technology can be used to detect genetic alterations, using for example standard commercial Affymetrix arrays. Due to the nature of the resultant data, standard techniques for processing GeneChip expression experiments are inapplicable. RESULTS: We have developed a robust and flexible methodology for high-resolution analysis of DNA copy number of whole genomes, using Affymetrix high-density expression oligonucleotide microarrays. Copy number is obtained from fluorescence signals after processing with novel normalization, spatial artifact correction, data transformation and deletion/duplication detection. We applied our approach to identify deleted and amplified regions in E. coli mutants obtained after prolonged starvation. CONCLUSION: The availability of Affymetrix expression chips for a wide variety of organisms makes the proposed array CGH methodology useful more generally.

Description

Keywords

Base Sequence, Chromosome Mapping, DNA, Bacterial, Escherichia coli, Gene Dosage, Gene Expression Profiling, Genome, Bacterial, Molecular Sequence Data, Oligonucleotide Array Sequence Analysis, Sequence Analysis, DNA

Journal Title

BMC Bioinformatics

Conference Name

Journal ISSN

1471-2105
1471-2105

Volume Title

Publisher

Springer Science and Business Media LLC