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Enhancer Chip: Detecting Human Copy Number Variations in Regulatory Elements

Authors :
M. Dionisi
Giulio Piluso
Giovanni Neri
Marco Savarese
Daniela Orteschi
Francesca Del Vecchio Blanco
Teresa Giugliano
Marcella Zollino
Giuseppina Di Fruscio
Michele Iacomino
Annalaura Torella
Vincenzo Nigro
Savarese, M
Piluso, Giulio
Orteschi, D
Di Fruscio, G
Dionisi, M
Del Vecchio Blanco, F
Torella, A
Giugliano, T
Iacomino, M
Zollino, M
Neri, G
Nigro, Vincenzo
Source :
PLoS ONE; Vol 7, PLoS ONE, PLoS ONE, Vol 7, Iss 12, p e52264 (2012)
Publication Year :
2012
Publisher :
Public Library of Science, 2012.

Abstract

""Critical functional properties are embedded in the non-coding portion of the human genome. Recent successful studies have shown that variations in distant-acting gene enhancer sequences can contribute to disease. In fact, various disorders, such as thalassaemias, preaxial polydactyly or susceptibility to Hirschsprung’s disease, may be the result of rearrangements of enhancer elements. We have analyzed the distribution of enhancer loci in the genome and compared their localization to that of previously described copy-number variations (CNVs). These data suggest a negative selection of copy number variable enhancers. To identify CNVs covering enhancer elements, we have developed a simple and cost-effective test. Here we describe the gene selection, design strategy and experimental validation of a customized oligonucleotide Array-Based Comparative Genomic Hybridization (aCGH), designated Enhancer Chip. It has been designed to investigate CNVs, allowing the analysis of all the genome with a 300 Kb resolution and specific disease regions (telomeres, centromeres and selected disease loci) at a tenfold higher resolution. Moreover, this is the first aCGH able to test over 1,250 enhancers, in order to investigate their potential pathogenic role. Validation experiments have demonstrated that Enhancer Chip efficiently detects duplications and deletions covering enhancer loci, demonstrating that it is a powerful instrument to detect and characterize copy number variable enhancers.""

Details

Language :
English
ISSN :
19326203
Volume :
7
Issue :
12
Database :
OpenAIRE
Journal :
PLoS ONE
Accession number :
edsair.doi.dedup.....e7b8262129376e0d32fdf4ee424cc184
Full Text :
https://doi.org/10.1371/journal.pone.0052264