title: DO-RIP-seq to quantify RNA binding sites transcriptome-wide.
abstract: Post-transcriptional processes orchestrate gene expression through dynamic protein-RNA interactions. These interactions occur at specific sites determined by RNA sequence, secondary structure, or nucleotide modifications. Methods have been developed either to quantify binding of whole transcripts or to identify the binding sites, but there is none proven to quantify binding at both the whole transcript and binding site levels. Here we describe digestion optimized RNA immunoprecipitation with deep sequencing (DO-RIP-seq) as a method that quantitates at the whole transcript target (RIP-Seq-Like or RSL) level and at the binding site level (BSL) using continuous metrics. DO-RIP-seq methodology was developed using the RBP HuR/ELAVL1 as a test case (Nicholson et al., 2016). DO-RIP-seq employs treatment of cell lysates with a nuclease under optimized conditions to yield partially digested RNA fragments bound by RNA binding proteins, followed by immunoprecipitations that capture the digested RNA-protein complexes and assess non-specific or background interactions. Analyses of sequenced cDNA libraries made from the bound RNA fragments yielded two types of enrichment scores; one for RSL binding events and the other for BSL events (Nicholson et al., 2016). These analyses plus the extensive read coverage of DO-RIP-seq allows seamless integration of binding site and whole transcript information. Therefore, DO-RIP-seq is useful for quantifying RBP binding events that are regulated during dynamic biological processes.
authors.affiliation: Department of Molecular Genetics & Microbiology, USA; Duke University Medical Center, Durham, NC 27710, USA. Electronic address: con6@duke.edu.
authors.forename: Cindo O
authors.initials: CO
authors.lastname: Nicholson
authors.affiliation: Department of Molecular Genetics & Microbiology, USA; Duke University Medical Center, Durham, NC 27710, USA. Electronic address: matthew.friedersdorf@duke.edu.
authors.forename: Matthew B
authors.initials: MB
authors.lastname: Friedersdorf
authors.affiliation: Department of Molecular Genetics & Microbiology, USA. Electronic address: les36@duke.edu.
authors.forename: Laura S
authors.initials: LS
authors.lastname: Bisogno
authors.affiliation: Department of Molecular Genetics & Microbiology, USA; Duke University Medical Center, Durham, NC 27710, USA. Electronic address: jack.keene@dm.duke.edu.
authors.forename: Jack D
authors.initials: JD
authors.lastname: Keene
mesh_terms: D000906:Antibodies / Q000737:chemistry; D001483:Base Sequence; D001665:Binding Sites; D000067780:ELAV-Like Protein 1 / Q000235:genetics* / Q000378:metabolism; D015723:Gene Library; D057809:HEK293 Cells; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D006801:Humans; D047468:Immunoprecipitation / Q000379:methods*; D009690:Nucleic Acid Conformation; D011485:Protein Binding; D012313:RNA / Q000737:chemistry* / Q000235:genetics / Q000378:metabolism; D016601:RNA-Binding Proteins / Q000235:genetics* / Q000378:metabolism; D012260:Ribonucleases / Q000737:chemistry; D017423:Sequence Analysis, RNA; D059467:Transcriptome
chemical_list: D000906:Antibodies; D000067780:ELAV-Like Protein 1; C098770:ELAVL1 protein, human; D016601:RNA-Binding Proteins; D012313:RNA; D012260:Ribonucleases
keywords: DO-RIP-seq; Quantitation; RNA-binding proteins; RNA-binding sites; Whole-transcript targets