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dc.creatorPio, R. (Rubén)
dc.creatorBlanco, D. (D.)
dc.creatorPajares, M.J. (María José)
dc.creatorAibar, E. (Elena)
dc.creatorDurany, O. (O.)
dc.creatorEzponda, T. (Teresa)
dc.creatorAgorreta, J. (Jackeline)
dc.creatorGomez-Roman, J. (Javier)
dc.creatorAnton, M.A. (Miguel Ángel)
dc.creatorRubio, A. (Ángel)
dc.creatorLozano, M.D. (María Dolores)
dc.creatorLopez-Picazo, J.M. (José M.)
dc.creatorSubirada, F. (Francesc)
dc.creatorMaes, T. (Tamara)
dc.creatorMontuenga-Badia, L.M. (Luis M.)
dc.date.accessioned2010-09-23T09:48:15Z-
dc.date.available2010-09-23T09:48:15Z-
dc.date.issued2010-06-03-
dc.identifier.citationPio R, Blanco D, Pajares MJ, Aibar E, Durany O, Ezponda T, et al. Development of a novel splice array platform and its application in the identification of alternative splice variants in lung cancer. BMC Genomics 2010 Jun 3;11:352.es_ES
dc.identifier.isbn0888-7543-
dc.identifier.urihttps://hdl.handle.net/10171/12913-
dc.description.abstractAbstract Background Microarrays strategies, which allow for the characterization of thousands of alternative splice forms in a single test, can be applied to identify differential alternative splicing events. In this study, a novel splice array approach was developed, including the design of a high-density oligonucleotide array, a labeling procedure, and an algorithm to identify splice events. Results The array consisted of exon probes and thermodynamically balanced junction probes. Suboptimal probes were tagged and considered in the final analysis. An unbiased labeling protocol was developed using random primers. The algorithm used to distinguish changes in expression from changes in splicing was calibrated using internal non-spliced control sequences. The performance of this splice array was validated with artificial constructs for CDC6, VEGF, and PCBP4 isoforms. The platform was then applied to the analysis of differential splice forms in lung cancer samples compared to matched normal lung tissue. Overexpression of splice isoforms was identified for genes encoding CEACAM1, FHL-1, MLPH, and SUSD2. None of these splicing isoforms had been previously associated with lung cancer. Conclusions This methodology enables the detection of alternative splicing events in complex biological samples, providing a powerful tool to identify novel diagnostic and prognostic biomarkers for cancer and other pathologies.es_ES
dc.language.isoenges_ES
dc.publisherBioMed Centrales_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectNSCLC: non-small cell lung canceres_ES
dc.subjectCeacam1: carcinoembryonic antigen-related cell adhesion molecule 1es_ES
dc.subjectSCLC: small cell lung canceres_ES
dc.subjectCeacam1: carcinoembryonic antigen-related cell adhesion molecule 1es_ES
dc.subjectFhl1: four and a half LIM domains 1es_ES
dc.subjectMlph: melanophilin or Slac2-aes_ES
dc.subjectSusd2: sushi domain-containing protein 2es_ES
dc.subjecthnRNP: heterogeneous nuclear ribonucleoproteinses_ES
dc.titleDevelopment of a novel splice array platform and its application in the identification of alternative splice variants in lung canceres_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doihttp://dx.doi.org/10.1186/1471-2164-11-352es_ES

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