کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5513475 | 1541208 | 2017 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: DO-RIP-seq to quantify RNA binding sites transcriptome-wide DO-RIP-seq to quantify RNA binding sites transcriptome-wide](/preview/png/5513475.png)
- DO-RIP-seq resolves RBP targeting at the whole transcript and binding site levels.
- RNA binding sites are identified without the use of crosslinking.
- Binding site quantitation is achieved by normalizing to background or input RNA.
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.
Journal: Methods - Volumes 118â119, 15 April 2017, Pages 16-23