Vicinity Of Splice Sites Research Articles

Genomic HEXploring allows landscaping of novel potential splicing regulatory elements.

Effective splice site selection is critically controlled by flanking splicing regulatory elements (SREs) that can enhance or repress splice site use. Although several computational algorithms currently identify a multitude of potential SRE motifs, their predictive power with respect to mutation effects is limited. Following a RESCUE-type approach, we defined a hexamer-based ‘HEXplorer score’ as average Z-score of all six hexamers overlapping with a given nucleotide in an arbitrary genomic sequence. Plotted along genomic regions, HEXplorer score profiles varied slowly in the vicinity of splice sites. They reflected the respective splice enhancing and silencing properties of splice site neighborhoods beyond the identification of single dedicated SRE motifs. In particular, HEXplorer score differences between mutant and reference sequences faithfully represented exonic mutation effects on splice site usage. Using the HIV-1 pre-mRNA as a model system highly dependent on SREs, we found an excellent correlation in 29 mutations between splicing activity and HEXplorer score. We successfully predicted and confirmed five novel SREs and optimized mutations inactivating a known silencer. The HEXplorer score allowed landscaping of splicing regulatory regions, provided a quantitative measure of mutation effects on splice enhancing and silencing properties and permitted calculation of the mutationally most effective nucleotide.

Integrative analysis revealed the molecular mechanism underlying RBM10‐mediated splicing regulation

RBM10 encodes an RNA binding protein. Mutations in RBM10 are known to cause multiple congenital anomaly syndrome in male humans, the TARP syndrome. However, the molecular function of RBM10 is unknown. Here we used PAR-CLIP to identify thousands of binding sites of RBM10 and observed significant RBM10–RNA interactions in the vicinity of splice sites. Computational analyses of binding sites as well as loss-of-function and gain-of-function experiments provided evidence for the function of RBM10 in regulating exon skipping and suggested an underlying mechanistic model, which could be subsequently validated by minigene experiments. Furthermore, we demonstrated the splicing defects in a patient carrying an RBM10 mutation, which could be explained by disrupted function of RBM10 in splicing regulation. Overall, our study established RBM10 as an important regulator of alternative splicing, presented a mechanistic model for RBM10-mediated splicing regulation and provided a molecular link to understanding a human congenital disorder.

Single base-pair substitutions in exon-intron junctions of human genes: nature, distribution, and consequences for mRNA splicing

Although single base-pair substitutions in splice junctions constitute at least 10% of all mutations causing human inherited disease, the factors that determine their phenotypic consequences at the RNA level remain to be fully elucidated. Employing a neural network for splice-site recognition, we performed a meta-analysis of 478 disease-associated splicing mutations, in 38 different genes, for which detailed laboratory-based mRNA phenotype assessment had been performed. Inspection of the +/-50-bp DNA sequence context of the mutations revealed that exon skipping was the preferred phenotype when the immediate vicinity of the affected exon-intron junctions was devoid of alternative splice-sites. By contrast, in the presence of at least one such motif, cryptic splice-site utilization, became more prevalent. This association was, however, confined to donor splice-sites. Outside the obligate dinucleotide, the spatial distribution of pathological mutations was found to differ significantly from that of SNPs. Whereas disease-associated lesions clustered at positions -1 and +3 to +6 for donor sites and -3 for acceptor sites, SNPs were found to be almost evenly distributed over all sequence positions considered. When all putative missense mutations in the vicinity of splice-sites were extracted from the Human Gene Mutation Database for the 38 studied genes, a significantly higher proportion of changes at donor sites (37/152; 24.3%) than at acceptor splice-sites (1/142; 0.7%) was found to reduce the neural network signal emitted by the respective splice-site. Based upon these findings, we estimate that some 1.6% of disease-causing missense substitutions in human genes are likely to affect the mRNA splicing phenotype. Taken together, our results are consistent with correct donor splice-site recognition being a key step in exon recognition.

Gene splice sites correlate with nucleosome positions

Gene sequences in the vicinity of splice sites are found to possess dinucleotide periodicities, especially RR and YY, with the period close to the pitch of nucleosome DNA. This confirms previously reported findings about preferential positioning of splice junctions within the nucleosomes. The RR and YY dinucleotides oscillate counter-phase, i.e., their respective preferred positions are shifted about half-period from one another, as it was observed earlier for AA and TT dinucleotides. Species specificity of nucleosome positioning DNA pattern is indicated by the predominant use of the periodical GG(CC) dinucleotides in human and mouse genes, as opposed to predominant AA(TT) dinucleotides in Arabidopsis and C. elegans.

Identifying splicing sites in eukaryotic RNA: support vector machine approach

We introduce a new method for splicing sites prediction based on the theory of support vector machines (SVM). The SVM represents a new approach to supervised pattern classification and has been successfully applied to a wide range of pattern recognition problems. In the process of splicing sites prediction, the statistical information of RNA secondary structure in the vicinity of splice sites, e.g. donor and acceptor sites, is introduced in order to compare recognition ratio of true positive and true negative. From the results of comparison, addition of structural information has brought no significant benefit for the recognition of splice sites and had even lowered the rate of recognition. Our results suggest that, through three cross validation, the SVM method can achieve a good performance for splice sites identification.

A combinatorial role for exon, intron and splice site sequences in splicing in maize.

Plant introns are typically AU-rich or U-rich, and this feature has been shown to be important for splicing. In maize, however, about 20% of the introns exceed 50% GC, and most of them are efficiently spliced. A series of constructs has been designed to analyze the cis requirements for splicing of the GC-rich Bz2 maize intron and two other GC-rich intron derivatives. By manipulating exon, intron and splice site sequences it is shown that exons can play an important role in intron definition: changes in exon sequences can increase splicing efficiency of a GC-rich intron from 17% to 86%. The relative difference, or base compositional contrast, in GC and U content between exon and intron sequences in the vicinity of splice sites, rather than the absolute base-content of the intron or exons, correlates with splicing efficiency. It is also shown that GC-rich intron constructs that are poorly spliced can be partially rescued by an improved 3' splice site.