Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5513387 | Methods | 2017 | 11 Pages |
â¢Developed RNAcompete-S for analyzing RBP RNA sequence and structure preferences.â¢Developed SSM format for annotating RNA sequence and structure motifs.â¢Identified sequence/structure motifs for ELAVL1, PTBP1, QKI, Vts1p, RBMY, and SRSF1.â¢Defined SSM for SLBP that predicts binding to replication dependent histone mRNAs.
RNA-binding proteins recognize RNA sequences and structures, but there is currently no systematic and accurate method to derive large (>12Â base) motifs de novo that reflect a combination of intrinsic preference to both sequence and structure. To address this absence, we introduce RNAcompete-S, which couples a single-step competitive binding reaction with an excess of random RNA 40-mers to a custom computational pipeline for interrogation of the bound RNA sequences and derivation of SSMs (Sequence and Structure Models). RNAcompete-S confirms that HuR, QKI, and SRSF1 prefer binding sites that are single stranded, and recapitulates known 8-10Â bp sequence and structure preferences for Vts1p and RBMY. We also derive an 18-base long SSM for Drosophila SLBP, which to our knowledge has not been previously determined by selections from pure random sequence, and accurately discriminates human replication-dependent histone mRNAs. Thus, RNAcompete-S enables accurate identification of large, intrinsic sequence-structure specificities with a uniform assay.