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Variations in new splicing regulatory elements are difficult to identify exclusively by sequence inspection and may result in deleterious effects on precursor (pre) mRNA splicing. These mutations can result in either complete skipping of the exon, retention of the intron, or the introduction of a new splice site within an exon or intron. Sometimes mutations that do not disrupt or create a splice site activate pre-existing pseudo splice sites, consistent with the proposal that introns contain splicing inhibitory sequences. These variants can also affect the fine balance of isoforms produced by alternatively spliced exons and in consequence cause disease. Available genomic pathology data reveal that we are still partly ignorant of the basic mechanisms that underlie the pre-mRNA splicing process. The fact that human pathology can provide pointers to new modulatory elements of splicing should be exploited.

TDP‐43 has recently been described as the major component of the inclusions found in the brain of patients with a variety of neurodegenerative diseases, such as frontotemporal lobar degeneration and amyotrophic lateral sclerosis. TDP‐43 is a ubiquitous protein whose specific functions are probably crucial to establishing its pathogenic role. Apart from its involvement in transcription, splicing and mRNA stability, TDP‐43 has also been described as a Drosha‐associated protein. However, our knowledge of the role of TDP‐43 in the microRNA (miRNA) synthesis pathway is limited to the association mentioned above. Here we report for the first time which changes occur in the total miRNA population following TDP‐43 knockdown in culture cells. In particular, we have observed that let‐7b and miR‐663 expression levels are down‐ and upregulated, respectively. Interestingly, both miRNAs are capable of binding directly to TDP‐43 in different positions: within the miRNA sequence itself (let‐7b) or in the hairpin precursor (miR‐663). Using microarray data and real‐time PCR we have also identified several candidate transcripts whose expression levels are selectively affected by these TDP‐43–miRNA interactions.

Despite a growing number of splicing mutations found in hereditary diseases, utilization of aberrant splice sites and their effects on gene expression remain challenging to predict. We compiled sequences of 346 aberrant 5′splice sites (5′ss) that were activated by mutations in 166 human disease genes. Mutations within the 5′ss consensus accounted for 254 cryptic 5′ss and mutations elsewhere activated 92 de novo 5′ss. Point mutations leading to cryptic 5′ss activation were most common in the first intron nucleotide, followed by the fifth nucleotide. Substitutions at position +5 were exclusively G>A transitions, which was largely attributable to high mutability rates of C/G>T/A. However, the frequency of point mutations at position +5 was significantly higher than that observed in the Human Gene Mutation Database, suggesting that alterations of this position are particularly prone to aberrant splicing, possibly due to a requirement for sequential interactions with U1 and U6 snRNAs. Cryptic 5′ss were best predicted by computational algorithms that accommodate nucleotide dependencies and not by weight-matrix models. Discrimination of intronic 5′ss from their authentic counterparts was less effective than for exonic sites, as the former were intrinsically stronger than the latter. Computational prediction of exonic de novo 5′ss was poor, suggesting that their activation critically depends on exonic splicing enhancers or silencers. The authentic counterparts of aberrant 5′ss were significantly weaker than the average human 5′ss. The development of an online database of aberrant 5′ss will be useful for studying basic mechanisms of splice-site selection, identifying splicing mutations and optimizing splice-site prediction algorithms.

The number of aberrant splicing processes causing human disease is growing exponentially and many recent studies have uncovered some aspects of the unexpectedly complex network of interactions involved in these dysfunctions. As a consequence, our knowledge of the various cis - and trans -acting factors playing a role on both normal and aberrant splicing pathways has been enhanced greatly. However, the resulting information explosion has also uncovered the fact that many splicing systems are not easy to model. In fact we are still unable, with certainty, to predict the outcome of a given genomic variation. Nonetheless, in the midst of all this complexity some hard won lessons have been learned and in this survey we will focus on the importance of the wide sequence context when trying to understand why apparently similar mutations can give rise to different effects. The examples discussed in this summary will highlight the fine ‘balance of power’ that is often present between all the various regulatory elements that define exon boundaries. In the final part, we shall then discuss possible therapeutic targets and strategies to rescue genetic defects of complex splicing systems.