Genomics

Dataset Information

0

Transcript Specificity in Yeast Pre-mRNA Splicing Revealed by Mutations in Core Spliceosomal Components


ABSTRACT: Appropriate expression of most eukaryotic genes requires the removal of introns from their pre-messenger RNAs (pre-mRNAs), a process catalyzed by the spliceosome. In higher eukaryotes a large family of auxiliary factors known as SR proteins can improve the splicing efficiency of transcripts containing suboptimal splice sites by interacting with distinct sequences present in those pre-mRNAs. The yeast Saccharomyces cerevisiae lacks functional equivalents of most of these factors; thus, it has been unclear whether the spliceosome could effectively distinguish among transcripts. To address this question, we have used a microarray-based approach to examine the effects of mutations in 18 highly conserved core components of the spliceosomal machinery. The kinetic profiles reveal clear differences in the splicing defects of particular pre-mRNA substrates. Most notably, the behaviors of ribosomal protein gene transcripts are generally distinct from other intron-containing transcripts in response to several spliceosomal mutations. However, dramatically different behaviors can be seen for some pairs of transcripts encoding ribosomal protein gene paralogs, suggesting that the spliceosome can readily distinguish between otherwise highly similar pre-mRNAs. The ability of the spliceosome to distinguish among its different substrates may therefore offer an important opportunity for yeast to regulate gene expression in a transcript-dependent fashion. Given the high level of conservation of core spliceosomal components across eukaryotes, we expect that these results will significantly impact our understanding of how regulated splicing is controlled in higher eukaryotes as well. Keywords: time course, splicing mutant, splicing-specific microarray

ORGANISM(S): Saccharomyces cerevisiae

PROVIDER: GSE7419 | GEO | 2007/04/04

SECONDARY ACCESSION(S): PRJNA97849

REPOSITORIES: GEO

Similar Datasets

2019-08-30 | E-MTAB-6950 | biostudies-arrayexpress
2019-08-03 | E-MTAB-8182 | biostudies-arrayexpress
2014-05-30 | E-GEOD-56878 | biostudies-arrayexpress
2021-09-08 | PXD014084 | Pride
2014-05-30 | GSE56878 | GEO
2014-08-08 | E-GEOD-60196 | biostudies-arrayexpress
2013-12-04 | E-GEOD-52808 | biostudies-arrayexpress
2014-08-08 | E-GEOD-60195 | biostudies-arrayexpress
2014-08-08 | E-GEOD-60197 | biostudies-arrayexpress
2023-03-03 | PXD016607 | Pride