A simple physical model predicts small exon length variations.

One of the most common splice variations are small exon length variations caused by the use of alternative donor or acceptor splice sites that are in very close proximity on the pre-mRNA. Among these, three-nucleotide variations at so-called NAGNAG tandem acceptor sites have recently attracted considerable attention, and it has been suggested that these variations are regulated and serve to fine-tune protein forms by the addition or removal of a single amino acid. In this paper we first show that in-frame exon length variations are generally overrepresented and that this overrepresentation can be quantitatively explained by the effect of nonsense-mediated decay. Our analysis allows us to estimate that about 50% of frame-shifted coding transcripts are targeted by nonsense-mediated decay. Second, we show that a simple physical model that assumes that the splicing machinery stochastically binds to nearby splice sites in proportion to the affinities of the sites correctly predicts the relative abundances of different small length variations at both boundaries. Finally, using the same simple physical model, we show that for NAGNAG sites, the difference in affinities of the neighboring sites for the splicing machinery accurately predicts whether splicing will occur only at the first site, splicing will occur only at the second site, or three-nucleotide splice variants are likely to occur. Our analysis thus suggests that small exon length variations are the result of stochastic binding of the spliceosome at neighboring splice sites. Small exon length variations occur when there are nearby alternative splice sites that have similar affinity for the splicing machinery.

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

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.