English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/63014
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Segmentation of genomic and transcriptomic microarrays data reveals major correlation between DNA copy number aberrations and gene–loci expression

AuthorsOrtiz-Estevez, M.; De Las Rivas, Javier ; Fontanillo, Celia ; Rubio, A.
Issue Date2011
CitationGenomics 97(2): 86-93 (2011)
AbstractDNA copy number aberrations (CNAs) are genetic alterations common in cancer cells. Their transcriptional consequences are still poorly understood. Based on the fact that DNA copy number (CN) is highly correlated with the genomic position, we have applied a segmentation algorithm to gene expression (GE) to explore its relation with CN. We have found a strong correlation between segmented CN (sCN) and segmented GE (sGE), corroborating that CNAs have clear effects on genome-wide expression. We have found out that most of the recurrent regions of sGE are common to those obtained from sCN analysis. Results for two cancer datasets confirm the known targets of aberrations and provide new candidates to study. The suggested methodology allows to find recurrent aberrations specific to sGE, revealing loci where the expression of the genes is independent from their CNs. R code and additional files are available as supplementary material. © 2010 Elsevier Inc.
Identifiersdoi: 10.1016/j.ygeno.2010.10.008
issn: 0888-7543
Appears in Collections:(IBMCC) Artículos
Files in This Item:
File Description SizeFormat 
accesoRestringido.pdf15,38 kBAdobe PDFThumbnail
Show full item record

Related articles:

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.