Identification of RNA Regulatory Information in the Saccharomyces Cerevisiae Transcriptome

Released on by Daniel Patrick Riordan
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  • Identification of RNA Regulatory Information in the Saccharomyces Cerevisiae Transcriptome Book Detail

  • Author : Daniel Patrick Riordan
  • Release Date : 2011
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  • File Size : 80,80 MB
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Identification of RNA Regulatory Information in the Saccharomyces Cerevisiae Transcriptome by Daniel Patrick Riordan PDF Summary

Book Description: The unique post-transcriptional behavior of each mRNA is thought to be largely determined by features present in its molecular sequence, representing a type of RNA regulatory code. However, the details by which distinct regulatory outcomes are programmed into the sequences of different transcripts are mostly unknown. We set out to identify features of yeast mRNAs that influence their post-transcriptional fates. Using bioinformatic and in vitro selection approaches, we characterized several RNA recognition elements involved in mediating specific interactions with individual yeast RNA-binding proteins (RBPs). Most of the RNA elements we uncovered were associated with significant mRNA expression changes and were phylogenetically conserved in related yeasts, providing insights into the function and evolution of the corresponding interactions. We also analyzed RNA-protein interaction sites for the yeast Puf3 RBP by high-throughput sequencing under different growth conditions. These results provided high-resolution experimental evidence for Puf3 binding at consensus RNA elements in the transcriptome, and enabled detailed comparisons of individual interaction sites. Finally, we developed complementary methods for transcriptome-wide mapping of potential sites of RNA 2'-O-methylation. Application of these methods to the yeast transcriptome successfully recovered known sites of RNA modification and suggested that ribose methylation of functionally-related transcripts may occur and influence the regulation of endogenous yeast mRNAs. Overall, these results contribute to understanding of how RNA sequence features help to specify global differences in gene expression characteristics.

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