Discovering sequence and structure landscapes in RNA interaction motifs

RNA molecules are able to bind proteins, DNA and other small or long RNAs using information at primary, secondary or tertiary structure level. Recent techniques that use cross-linking and immunoprecipitation of RNAs can detect these interactions and, if followed by high-throughput sequencing, molecu...

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Published inNucleic acids research Vol. 47; no. 10; pp. 4958 - 4969
Main Authors Adinolfi, Marta, Pietrosanto, Marco, Parca, Luca, Ausiello, Gabriele, Ferrè, Fabrizio, Helmer-Citterich, Manuela
Format Journal Article
LanguageEnglish
Published England Oxford University Press 04.06.2019
Subjects
Algorithms
Animals
Base Sequence
Binding Sites
Cell Line
Computational Biology
HEK293 Cells
Hep G2 Cells
Humans
K562 Cells
Mice
MicroRNAs - chemistry
MicroRNAs - genetics
MicroRNAs - metabolism
Nucleotide Motifs
Protein Binding
RNA - chemistry
RNA - genetics
RNA - metabolism
RNA-Binding Proteins - chemistry
RNA-Binding Proteins - genetics
RNA-Binding Proteins - metabolism
Sequence Analysis, RNA - methods
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Summary:RNA molecules are able to bind proteins, DNA and other small or long RNAs using information at primary, secondary or tertiary structure level. Recent techniques that use cross-linking and immunoprecipitation of RNAs can detect these interactions and, if followed by high-throughput sequencing, molecules can be analysed to find recurrent elements shared by interactors, such as sequence and/or structure motifs. Many tools are able to find sequence motifs from lists of target RNAs, while others focus on structure using different approaches to find specific interaction elements. In this work, we make a systematic analysis of RBP-RNA and RNA-RNA datasets to better characterize the interaction landscape with information about multi-motifs on the same RNAs. To achieve this goal, we updated our BEAM algorithm to combine both sequence and structure information to create pairs of patterns that model motifs of interaction. This algorithm was applied to several RNA binding proteins and ncRNAs interactors, confirming already known motifs and discovering new ones. This landscape analysis on interaction variability reflects the diversity of target recognition and underlines that often both primary and secondary structure are involved in molecular recognition.
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The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors.
ISSN:0305-1048
1362-4962
1362-4962
DOI:10.1093/nar/gkz250