ArticleMethods (San Diego, Calif.)2017
DO-RIP-seq to quantify RNA binding sites transcriptome-wide.
Article in Methods (San Diego, Calif.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Review
- CPSF4-mediated regulation of alternative splicing of HMG20B facilitates the progression of triple-negative breast cancer.Journal of translational medicine · 2024Article
- RNA binding proteins in cardiovascular development and disease.Current topics in developmental biology · 2024Article
- The RNA binding protein DND1 is elevated in a subpopulation of pro-spermatogonia and targets chromatin modifiers and translational machinery during late gestation.PLoS genetics · 2023Article
- A transgenic DND1GFP fusion allele reports in vivo expression and RNA-binding targets in undifferentiated mouse germ cells†.Biology of reproduction · 2021Article
- Transcriptome-wide high-throughput mapping of protein-RNA occupancy profiles using POP-seq.Scientific reports · 2021Article
- Zooming in on protein-RNA interactions: a multi-level workflow to identify interaction partners.Biochemical Society transactions · 2020Review
- The Chloroplast RNA Binding Protein CP31A Has a Preference for mRNAs Encoding the Subunits of the Chloroplast NAD(P)H Dehydrogenase Complex and Is Required for Their Accumulation.International journal of molecular sciences · 2020Article
- The RNA-binding protein DND1 acts sequentially as a negative regulator of pluripotency and a positive regulator of epigenetic modifiers required for germ cell reprogramming.Development (Cambridge, England) · 2019Article
- RNA-Binding Proteins in the Control of LPS-Induced Macrophage Response.Frontiers in genetics · 2019Review
- Analysis of post-transcriptional regulation during cancer progression using a donor-derived isogenic model of tumorigenesis.Methods (San Diego, Calif.) · 2017Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.