edoc-vmtest

Computational analysis of full-length cDNAs reveals frequent coupling between transcriptional and splicing programs

Chern, T. -M. and Paul, N. and van Nimwegen, E. and Zavolan, M.. (2008) Computational analysis of full-length cDNAs reveals frequent coupling between transcriptional and splicing programs. DNA research, Vol. 15, H. 2. pp. 63-72.

Full text not available from this repository.

Official URL: http://edoc.unibas.ch/dok/A5259625

Downloads: Statistics Overview

Abstract

High-throughput sequencing studies revealed that the majority of human and mouse multi-exon genes have multiple splice forms. High-density oligonucleotide array-based measurements have further established that many exons are expressed in a tissue-specific manner. The mechanisms underlying the tissue-dependent expression of most alternative exons remain, however, to be understood. In this study, we focus on one possible mechanism, namely the coupling of (tissue specific) transcription regulation with alternative splicing. We analyzed the FANTOM3 and H-Invitational datasets of full-length mouse and human cDNAs, respectively, and found that in transcription units with multiple start sites, the inclusion of at least 15% and possibly up to 30% of the 'cassette' exons correlates with the use of specific transcription start sites (TSS). The vast majority of TSS-associated exons are conserved between human and mouse, yet the conservation is weaker when compared with TSS-independent exons. Additionally, the currently available data only support a weak correlation between the probabilities of TSS association of orthologous exons. Our analysis thus suggests frequent coupling of transcriptional and splicing programs, and provides a large dataset of exons on which the molecular basis of this coupling can be further studied.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Computational & Systems Biology > Bioinformatics (van Nimwegen)
05 Faculty of Science > Departement Biozentrum > Computational & Systems Biology > Bioinformatics (Zavolan)
UniBasel Contributors:van Nimwegen, Erik and Zavolan, Mihaela
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Oxford University Press
ISSN:1340-2838
Note:Publication type according to Uni Basel Research Database: Journal article
Related URLs:
Identification Number:
Last Modified:14 Sep 2012 06:50
Deposited On:22 Mar 2012 13:29

Repository Staff Only: item control page