Decoding RNA-RNA interactions from high-throughput RNA interactome sequencing data

yjhua2110

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Decoding RNA-RNA interactions from high-throughput RNA interactome sequencing data

11-30-2018, 05:27 PM

We constructs a global-scale landscape of RNA-RNA interactions involving various classes of ncRNAs (lncRNAs, snoRNAs, tRNAs, snRNAs, pseudogenes and miRNAs) and mRNAs by re-analyzing high-throughput RNA interactome data from SPLASH, MARIO, PARIS and LIGR-seq methods. We using stringent parameters to filter all RNA-RNA interactions and identified ~0.1 million lncRNA-RNA interactions, ~1.2 million mRNA-RNA interactions and ~0.4 million small ncRNAs(sncRNAs)-RNA interactions, such as snoRNA-target, snRNA-target and miRNA-target interactions.

We also provides minimum free energy (MFE), smith-waterman alignment score, pairwise alignments and experimental number to allow user to filter these RNA-RNA interactions. A huge number of novel RNA-RNA interactions highlight the complexity of RNA interactomes and serve as important resources for elucidating the regulatory network of various ncRNAs and understanding the biological functions of RNA organization.

All RNA interactomes is freely available at following websites:

lncRNA-target interactions: http://starbase.sysu.edu.cn/rnaRNA.php?source=lncRNA

small ncRNA-target interactions: http://starbase.sysu.edu.cn/rnaRNA.php?source=sncRNA

mRNA-target interactions: http://starbase.sysu.edu.cn/rnaRNA.php?source=mRNA

pseudogene-target interactions: http://starbase.sysu.edu.cn/rnaRNA.p...rce=pseudogene
Tags: interactions, ligr-seq, mario, paris, splash

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