http://www.cnr.it/ontology/cnr/individuo/prodotto/ID167193
Identification of tumor-associated cassette exons in human cancer through EST-based computational prediction and experimental validation (Articolo in rivista)
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- Label
- Identification of tumor-associated cassette exons in human cancer through EST-based computational prediction and experimental validation (Articolo in rivista) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1186/1476-4598-9-230 (literal)
- Alternative label
Valletti A, Anselmo A, Mangiulli M, Boria I, Mignone F, Merla G, D'Angelo V, Tullo A, Sbisa' E, D'Erchia AM, Pesole G (2010)
Identification of tumor-associated cassette exons in human cancer through EST-based computational prediction and experimental validation
in Molecular cancer
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Valletti A, Anselmo A, Mangiulli M, Boria I, Mignone F, Merla G, D'Angelo V, Tullo A, Sbisa' E, D'Erchia AM, Pesole G (literal)
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- 1 University of Bari, Dipartimento di Biochimica e Biologia Molecolare \"E. Quagliariello\", via Orabona, 4, Bari 70126, Italy
2 University of Milan, Dipartimento di Scienze Biomolecolari e Biotecnologie, via Celoria 26, Milan 20133, Italy
3 University of Milan, Dipartimento di Chimica strutturale e Stereochimica Inorganica, via Venezian, 12, Milan 20133, Italy
4 Laboratorio di Genetica Medica, IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy
5 Dipartimento di Neuroscienze, Divisione di Neurochirurgia, IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy
6 Istituto Tecnologie Biomediche del Consiglio Nazionale delle Ricerche, sede di Bari, via Amendola 122/D, Bari 70126, Italy
7 Istituto Biomembrane e Bioenergetica del Consiglio Nazionale delle Ricerche, via Amendola 165/A, 70126 Bari, Italy (literal)
- Titolo
- Identification of tumor-associated cassette exons in human cancer through EST-based computational prediction and experimental validation (literal)
- Abstract
- Abstract
Background
Many evidences report that alternative splicing, the mechanism which produces mRNAs and proteins with different structures and functions from the same gene, is altered in cancer cells. Thus, the identification and characterization of cancer-specific splice variants may give large impulse to the discovery of novel diagnostic and prognostic tumour biomarkers, as well as of new targets for more selective and effective therapies.
Results
We present here a genome-wide analysis of the alternative splicing pattern of human genes through a computational analysis of normal and cancer-specific ESTs from seventeen anatomical groups, using data available in AspicDB, a database resource for the analysis of alternative splicing in human. By using a statistical methodology, normal and cancer-specific genes, splice sites and cassette exons were predicted in silico. The condition association of some of the novel normal/tumoral cassette exons was experimentally verified by RT-qPCR assays in the same anatomical system where they were predicted. Remarkably, the presence in vivo of the predicted alternative transcripts, specific for the nervous system, was confirmed in patients affected by glioblastoma.
Conclusion
This study presents a novel computational methodology for the identification of tumor-associated transcript variants to be used as cancer molecular biomarkers, provides its experimental validation, and reports specific biomarkers for glioblastoma. (literal)
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