Evidence map›Paper›PMID 27840290›Full record

ArticleMethods (San Diego, Calif.)2017

DO-RIP-seq to quantify RNA binding sites transcriptome-wide.

Cindo O Nicholson, Matthew B Friedersdorf, Laura S Bisogno, Jack D Keene

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. RNA binding proteins in cardiovascular development and disease.Current topics in developmental biology · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
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

4 authors at 2 institutions in 1 country.

Cindo O NicholsonDepartment of Molecular Genetics & Microbiology, USA; Duke University Medical Center, Durham, NC 27710, USA. Electronic address: con6@duke.edu.
Matthew B FriedersdorfDepartment of Molecular Genetics & Microbiology, USA; Duke University Medical Center, Durham, NC 27710, USA. Electronic address: matthew.friedersdorf@duke.edu.
Laura S BisognoDepartment of Molecular Genetics & Microbiology, USA. Electronic address: les36@duke.edu.
Jack D KeeneDepartment of Molecular Genetics & Microbiology, USA; Duke University Medical Center, Durham, NC 27710, USA. Electronic address: jack.keene@dm.duke.edu.
Pediatrics and Genetics · USDuke University Hospital · US

Funding

Targeted Alpha-Particle Radiotheraphy of Brain Tumors with 211At-81C6 AntibodyP50CA190991 · NCI · DUKE UNIVERSITY · PI ALI-OSMAN, FRANCIS, ASHLEY, DAVID M. · 2014 to 2023
$20.8M
Viral Oncology Training GrantT32CA009111 · NCI · DUKE UNIVERSITY · PI LUFTIG, MICAH A. · 1985 to 2023
$8.9M
Genetics Training Grant-Year 26T32GM007754 · NIGMS · DUKE UNIVERSITY · PI HAASE, STEVEN B · 1985 to 2019
$8.3M
ROLE OF P53 IN THE CELLULAR RESPONSE TO DNA DAMAGER01ES005777 · NIEHS · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI KASTAN, MICHAEL B · 1992 to 2017
$2.3M
RNA Dynamics of Transient Macromolecular Complexes in Cancer CellsR01CA157268 · NCI · DUKE UNIVERSITY · PI KEENE, JACK D · 2011 to 2015
$1.7M
Post-transcriptional coordination by HuR and microRNAs during tumorigenesisF31CA185892 · NCI · DUKE UNIVERSITY · PI BISOGNO, LAURA SIMONE · 2014 to 2016
$100k
NCI NIH HHS F31 CA185892NCI NIH HHS P50 CA190991NCI NIH HHS R01 CA157268NCI NIH HHS T32 CA009111NIEHS NIH HHS R01 ES005777NIGMS NIH HHS T32 GM007754
6 · The paper itself

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.

Indexed as

TranscriptomeAntibodiesBase SequenceBinding SitesELAV-Like Protein 1Gene LibraryHEK293 CellsHigh-Throughput Nucleotide SequencingHumansImmunoprecipitationNucleic Acid ConformationProtein BindingRibonucleasesRNARNA-Binding ProteinsSequence Analysis, RNAAntibodiesELAVL1 protein, humanELAV-Like Protein 1RibonucleasesRNARNA-Binding ProteinsDO-RIP-seqQuantitationRNA-binding proteinsRNA-binding sitesWhole-transcript targets

Identifiers

PMID27840290
PMCPMC5411286
OpenAlexW2554251410

What OpenQuestion holds

Textmetadata
LicenceTDM
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.