2024-03-29T12:26:35Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/630142018-09-27T06:52:55Zcom_10261_112com_10261_1col_10261_365
Segmentation of genomic and transcriptomic microarrays data reveals major correlation between DNA copy number aberrations and gene–loci expression
Ortiz-Estevez, M.
De Las Rivas, Javier
Fontanillo, Celia
Rubio, A.
DNA 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.
Peer Reviewed
2012-12-17T08:48:22Z
2012-12-17T08:48:22Z
2011
2012-12-17T08:48:22Z
artículo
http://purl.org/coar/resource_type/c_6501
doi: 10.1016/j.ygeno.2010.10.008
issn: 0888-7543
Genomics 97(2): 86-93 (2011)
http://hdl.handle.net/10261/63014
10.1016/j.ygeno.2010.10.008
en
none
Elsevier