Apr 5, 2011

In silico characterization and prediction of global protein-mRNA interactions in yeast

Nucleic Acids Research
Vera Pancaldi, Jürg Bähler


Post-transcriptional gene regulation is mediated through complex networks of protein-RNA interactions. The targets of only a few RNA binding proteins (RBPs) are known, even in the well-characterized budding yeast. In silico prediction of protein-RNA interactions is therefore useful to guide experiments and to provide insight into regulatory networks. Computational approaches have identified RBP targets based on sequence binding preferences. We investigate here to what extent RBP-RNA interactions can be predicted based on RBP and mRNA features other than sequence motifs. We analyze global relationships between gene and protein properties in general and between selected RBPs and known mRNA targets in particular. Highly translated RBPs tend to bind to shorter transcripts, and transcripts bound by the same RBP show high expression correlation across different biological conditions. Surprisingly, a given RBP preferentially binds to mRNAs that encode interaction partners for this RBP, suggesting coordinated post-transcriptional auto-regulation of protein complexes. We apply a machine-learning approach to predict specific RBP targets in yeast. Although this approach performs well for RBPs with known targets, predictions for uncharacte...Continue Reading

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Mentioned in this Paper

Saccharomyces cerevisiae Proteins
Complex (molecular entity)
Transcription, Genetic
Knowledge Representation (Computer)
Genes, Fungal
Binding (Molecular Function)
Poly(A) Tail
RNA-Binding Proteins
Saccharomyces cerevisiae
Schizosaccharomyces pombe Proteins

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