Biomedical subjects

Lawrence A Chasin

Publications and source records attributed to Lawrence A Chasin.

10 recordsLinked to original sources

PubMed2006

Comparison of multiple vertebrate genomes reveals the birth and evolution of human exons.

Orthologous gene structures in eight vertebrate species were compared on a genomic scale to detect the birth and maturation of new internal exons during the course of evolution. We found that 40% of new human exons are alternatively spliced, and most of these are cassette exons (exons that are either included or skipped in their entirety) with low inclusion rates. This proportion decreases steadily as older and older exons are examined, even as splicing efficiency increases. Remarkably, the great majority of new cassette exons are composed of highly repeated sequences, especially Alu. Many new cassette exons are 5' untranslated exons; the proportion that code for protein increases steadily with age. New protein-coding exons evolve at a high rate, as evidenced by the initially high substitution rates (K(s) and K(a)), as well as the SNP density compared with older exons. This dynamic picture suggests that de novo recruitment rather than shuffling is the major route by which exons are added to genes, and that species-specific repeats could play a significant role in recent evolution.

Alternative Splicing↗

PubMed2005

Computational searches for splicing signals.

The removal of introns from pre-mRNA requires as an initial event the accurate molecular recognition of the proper exon-intron borders. It is now evident that RNA sequence elements in addition to the consensus splice site sequences themselves are required for this recognition. Genomic analyses have contributed to the definition of these elements as exonic and intronic splicing enhancers and silencers, comprising what has been called the "splicing code." Many computational methods have been brought to bear in such studies. We describe here some of the methods we have used to discover functional splicing signals. What these methods have in common is a comparison of sequences in and around exons to sequences found elsewhere in the genome. We have especially made use of comparisons to "pseudo exons," intronic sequences resembling exons by virtue of being bounded by sequences indistinguishable from splice sites. Two computational strategies are emphasized: (1) the use of a machine learning technique in which a computational algorithm, a support vector machine, is first trained on known examples and then used to predict sequences associated with splicing; and (2) straight statistical analysis of differences between regions associated with exons and other regions in the genome. In most cases, the predictions made using these methods have been validated by subsequent empirical tests. An attempt has been made to make this description understandable by researchers unfamiliar with computational practice and to include practical references to specific databases and programs.

Alternative Splicing↗

PubMed2005

Dichotomous splicing signals in exon flanks.

Intronic elements flanking the splice-site consensus sequences are thought to play a role in pre-mRNA splicing. However, the generality of this role, the catalog of effective sequences, and the mechanisms involved are still lacking. Using molecular genetic tests, we first showed that the approximately 50-nt intronic flanking sequences of exons beyond the splice-site consensus are generally important for splicing. We then went on to characterize exon flank sequences on a genomic scale. The G+C content of flanks displayed a bimodal distribution reflecting an exaggeration of this base composition in flanks relative to the gene as a whole. We divided all exons into two classes according to their flank G+C content and used computational and statistical methods to define pentamers of high relative abundance and phylogenetic conservation in exon flanks. Upstream pentamers were often common to the two classes, whereas downstream pentamers were totally different. Upstream and downstream pentamers were often identical around low G+C exons, and in contrast, were often complementary around high G+C exons. In agreement with this complementarity, predicted base pairing was more frequent between the flanks of high G+C exons. Pseudo exons did not exhibit this behavior, but rather tended to form base pairs between flanks and exon bodies. We conclude that most exons require signals in their immediate flanks for efficient splicing. G+C content is a sequence feature correlated with many genetic and genomic attributes. We speculate that there may be different mechanisms for splice site recognition depending on G+C content.

Animals↗

PubMed2005

Exon inclusion is dependent on predictable exonic splicing enhancers.

We have previously formulated a list of approximately 2,000 RNA octamers as putative exonic splicing enhancers (PESEs) based on a statistical comparison of human exonic and nonexonic sequences (X. H. Zhang and L. A. Chasin, Genes Dev. 18:1241-1250, 2004). When inserted into a poorly spliced test exon, all eight tested octamers stimulated splicing, a result consistent with their identification as exonic splicing enhancers (ESEs). Here we present a much more stringent test of the validity of this list of PESEs. Twenty-two naturally occurring examples of nonoverlapping PESEs or PESE clusters were identified in six mammalian exons; five of the six exons tested are constitutively spliced. Each of the 22 individual PESEs or PESE clusters was disrupted by site-directed mutagenesis, usually by a single-base substitution. Eighteen of the 22 disruptions (82%) resulted in decreased splicing efficiency. In contrast, 24 control mutations had little or no effect on splicing. This high rate of success suggests that most PESEs function as ESEs in their natural context. Like most exons, these exons contain several PESEs. Since knocking out any one of several could produce a severalfold decrease in splicing efficiency, we conclude that there is little redundancy among ESEs in an exon and that they must work in concert to optimize splicing.

Alternative Splicing↗

PubMed2004

Computational definition of sequence motifs governing constitutive exon splicing.

We have searched for sequence motifs that contribute to the recognition of human pre-mRNA splice sites by comparing the frequency of 8-mers in internal noncoding exons versus unspliced pseudo exons and 5' untranslated regions (5' untranslated regions [UTRs]) of transcripts of intronless genes. This type of comparison avoids the isolation of sequences that are distinguished by their protein-coding information. We classified sequence families comprising 2069 putative exonic enhancers and 974 putative exonic silencers. Representatives of each class functioned as enhancers or silencers when inserted into a test exon and assayed in transfected mammalian cells. As a class, the enhancer sequencers were more prevalent and the silencer elements less prevalent in all exons compared with introns. A survey of 58 reported exonic splicing mutations showed good agreement between the splicing phenotype and the effect of the mutation on the motifs defined here. The large number of effective sequences implied by these results suggests that sequences that influence splicing may be very abundant in pre-mRNA.

5' Untranslated Regions↗

PubMed2004

Latent splice sites and stop codons revisited.

The accuracy of the data we reported in an RNA Letter to the Editor earlier this year on the possible relationship between stop codons and splicing is questioned by Miriami et al. (this issue). We reply here that we see no inaccuracy in our data presentation and offer a possible explanation for their interpretation.

Codon, Terminator↗

PubMed2003

Effects of genomic context and chromatin structure on transcription-coupled and global genomic repair in mammalian cells.

It has been long recognized that in mammalian cells, DNA damage is preferentially repaired in the transcribed strand of transcriptionally active genes. However, recently, we found that in Chinese hamster ovary (CHO) cells, UV-induced cyclobutane pyrimidine dimers (CPDs) are preferentially repaired in both the transcribed and the non-transcribed strand of exon 1 of the dihydrofolate reductase (DHFR) gene. We mapped CPD repair at the nucleotide level in the transcriptionally active DHFR gene and the adjacent upstream OST gene, both of which have been translocated to two chromosomal positions that differ from their normal endogeneous positions. This allowed us to study the role of transcription, genomic context and chromatin structure on repair. We found that CPD repair in the transcribed strand is the same for endogenous and translocated DHFR genes, and the order of repair efficiency is exon 1 > exon 2 > exon 5. However, unlike the endogenous DHFR gene, efficient repair of CPDs in the non-transcribed strand of exon 1 is not observed in the translocated DHFR gene. CPDs are efficiently repaired in the transcribed strand in endogenous and translocated OST genes, which indicates that efficient repair in exon 1 of the non-transcribed strand of the endogenous DHFR gene is not due to the extension of transcription-coupled repair of the OST gene. Using micrococcal nuclease digestion, we probed the chromatin structure in the DHFR gene and found that chromatin structure in the exon 1 region of endogenous DHFR is much more open than at translocated loci. These results suggest that while transcription-coupled repair is transcription dependent, global genomic repair is greatly affected by chromatin structure.

Animals↗

PubMed2003

Sequence information for the splicing of human pre-mRNA identified by support vector machine classification.

Vertebrate pre-mRNA transcripts contain many sequences that resemble splice sites on the basis of agreement to the consensus,yet these more numerous false splice sites are usually completely ignored by the cellular splicing machinery. Even at the level of exon definition,pseudo exons defined by such false splices sites outnumber real exons by an order of magnitude. We used a support vector machine to discover sequence information that could be used to distinguish real exons from pseudo exons. This machine learning tool led to the definition of potential branch points,an extended polypyrimidine tract,and C-rich and TG-rich motifs in a region limited to 50 nt upstream of constitutively spliced exons. C-rich sequences were also found in a region extending to 80 nt downstream of exons,along with G-triplet motifs. In addition,it was shown that combinations of three bases within the splice donor consensus sequence were more effective than consensus values in distinguishing real from pseudo splice sites; two-way base combinations were optimal for distinguishing 3' splice sites. These data also suggest that interactions between two or more of these elements may contribute to exon recognition,and provide candidate sequences for assessment as intronic splicing enhancers.

Artificial Intelligence↗

PubMed2003

The effect of nonsense codons on splicing: a genomic analysis.

The phenomenon of nonsense-associated altered splicing raises the possibility that the recognition of in-frame nonsense codons is used generally for exon identification during pre-mRNA splicing. However, nonsense codon frequencies in pseudo exons and in regions flanking 5' splice sites are no greater than that expected by chance, arguing against the widespread use of this strategy as a means of rejecting potential splice sites.

Codon, Nonsense↗

PubMed2002

Transcription-coupled and transcription-independent repair of cyclobutane pyrimidine dimers in the dihydrofolate reductase gene.

Using a ligation-mediated polymerase chain reaction technique, we have mapped the repair of ultraviolet light-induced cyclobutane pyrimidine dimers (CPDs) at the nucleotide level in exons 1, 2, and 5 of the dihydrofolate reductase (DHFR) gene in Chinese hamster ovary cells. We found that CPDs are preferentially repaired in the transcribed strand (T strand) and that the order of repair efficiency is exon 1 > exon 2 > exon 5. In the cells with a deletion of the DHFR gene encompassing the promoter region and the first four exons, CPDs are not repaired in the T strand of the residual DHFR gene. These results substantiate the idea that the preferential repair of CPDs in the T strand is transcription dependent. However, in the wild type gene we have found that CPDs are efficiently repaired in the nontranscribed strand (NT strand) of exon 1 but not in the NT strand of exons 2 and 5. Probing the chromatin structure of exons 1, 2, and 5 of the DHFR gene with micrococcal nuclease revealed that the exon 1 region is much more sensitive to micrococcal nuclease digestion than the exon 2 and exon 5 regions, suggesting that the chromatin structure in the exon 1 region is much more open. These results suggest that, although preferential repair of the T strand of the DHFR gene is transcription dependent, repair of the NT strand is greatly affected by chromatin structure.

Animals↗