Computational Prediction of RNA Structural Motifs Involved in Post-Transcriptional Regulatory Processes

Michal Rabani, Michael Kertesz, Eran Segal*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

10 Scopus citations

Abstract

mRNA molecules are tightly regulated, mostly through interactions with proteins and other RNAs, but the mechanisms that confer the specificity of such interactions are poorly understood. It is clear, however, that this specificity is determined by both the nucleotide sequence and secondary structure of the mRNA. We developed RNApromo, an efficient computational tool for identifying structural elements within mRNAs that are involved in specifying post-transcriptional regulations. Using RNApromo, we predicted putative motifs in sets of mRNAs with substantial experimental evidence for common post-transcriptional regulation, including mRNAs with similar decay rates, mRNAs that are bound by the same RNA binding protein, and mRNAs with a common cellular localization. Our new RNA motif discovery tool reveals unexplored layers of post-transcriptional regulations in groups of RNAs, and is therefore an important step toward a better understanding of the regulatory information conveyed within RNA molecules.

Original languageAmerican English
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages467-479
Number of pages13
DOIs
StatePublished - 2011

Publication series

NameMethods in Molecular Biology
Volume714
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Bibliographical note

Publisher Copyright:
© 2011, Springer Science+Business Media, LLC.

Keywords

  • Bioinformatics
  • Motif prediction
  • Post-transcriptional regulation
  • RNA secondary structure
  • SCFGs

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