Evidence map›Paper›PMID 27742911›Full record

ArticleRNA (New York, N.Y.)2017

Quantifying RNA binding sites transcriptome-wide using DO-RIP-seq.

Cindo O Nicholson, Matthew Friedersdorf, Jack D Keene

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Phospho-RNA sequencing with circAID-p-seq.Nucleic acids research · 2022
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
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  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Approaches for measuring the dynamics of RNA-protein interactions.Wiley interdisciplinary reviews. RNA · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Cindo O NicholsonDepartment of Molecular Genetics and Microbiology, Center for RNA Biology, Duke University Medical Center, Durham, North Carolina 27710, USA.
Matthew FriedersdorfDepartment of Molecular Genetics and Microbiology, Center for RNA Biology, Duke University Medical Center, Durham, North Carolina 27710, USA.
Jack D KeeneDepartment of Molecular Genetics and Microbiology, Center for RNA Biology, Duke University Medical Center, Durham, North Carolina 27710, USA.
Duke University · US

Funding

Targeted Alpha-Particle Radiotheraphy of Brain Tumors with 211At-81C6 AntibodyP50CA190991 · NCI · DUKE UNIVERSITY · PI SAMPSON, JOHN H. · 2014 to 2023
$20.8M
Viral Oncology Training GrantT32CA009111 · NCI · DUKE UNIVERSITY · PI LUFTIG, MICAH A. · 1985 to 2023
$8.9M
RNA Dynamics of Transient Macromolecular Complexes in Cancer CellsR01CA157268 · NCI · DUKE UNIVERSITY · PI KEENE, JACK D · 2011 to 2015
$1.7M
NCI NIH HHS P50 CA190991NCI NIH HHS R01 CA157268NCI NIH HHS T32 CA009111
6 · The paper itself

Abstract

RNA-binding proteins (RBPs) and noncoding RNAs orchestrate post-transcriptional processes through the recognition of specific sites on targeted transcripts. Thus, understanding the connection between binding to specific sites and active regulation of the whole transcript is essential. Many immunoprecipitation techniques have been developed that identify either whole transcripts or binding sites of RBPs on each transcript using cell lysates. However, none of these methods simultaneously measures the strength of each binding site and quantifies binding to whole transcripts. In this study, we compare current procedures and present digestion optimized (DO)-RIP-seq, a simple method that locates and quantifies RBP binding sites using a continuous metric. We have used the RBP HuR/ELAVL1 to demonstrate that DO-RIP-seq can quantify HuR binding sites with high coverage across the entire human transcriptome, thereby generating metrics of relative RNA binding strength. We demonstrate that this quantitative enrichment of binding sites is proportional to the relative in vitro binding strength for these sites. In addition, we used DO-RIP-seq to quantify and compare HuR's binding to whole transcripts, thus allowing for seamless integration of binding site data with whole-transcript measurements. Finally, we demonstrate that DO-RIP-seq is useful for identifying functional mRNA target sets and binding sites where combinatorial interactions between HuR and AGO-microRNAs regulate the fate of the transcripts. Our data indicate that DO-RIP-seq will be useful for quantifying RBP binding events that regulate dynamic biological processes.

Indexed as

Binding SitesDatabases, GeneticELAV-Like Protein 1Gene Expression ProfilingGene Expression RegulationHEK293 CellsHigh-Throughput Nucleotide SequencingHumansMicroRNAsProtein BindingRNA, MessengerSequence Analysis, RNAELAVL1 protein, humanELAV-Like Protein 1MicroRNAsRNA, Messengerbinding site saturationCLIPcrosslinkprotein–RNA affinityRNA regulons

Identifiers

PMID27742911
PMCPMC5159647
OpenAlexW2530558230

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.