Evidence map›Paper›PMID 31076772›Full record

ReviewNucleic acids research2019

Beyond CLIP: advances and opportunities to measure RBP-RNA and RNA-RNA interactions.

Chenyu Lin, Wayne O Miles

Open access · goldAbstract readReview
In one paragraph

Review in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

38 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Structure-Based Prediction of lncRNA-Protein Interactions by Deep Learning.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. RNA binding proteins in cardiovascular development and disease.Current topics in developmental biology · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Chenyu LinDepartment of Molecular Genetics, The Ohio State University, Columbus, OH 43210, USA.
Wayne O MilesDepartment of Molecular Genetics, The Ohio State University, Columbus, OH 43210, USA.
The Ohio State University · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
Interplay between transcription and translationK22CA204352 · NCI · OHIO STATE UNIVERSITY · PI MILES, WAYNE · 2016 to 2018
$561k
NCI NIH HHS K22 CA204352NCI NIH HHS P30 CA016058
6 · The paper itself

Abstract

RNA is an essential player in almost all biological processes, and has an ever-growing number of roles in regulating cellular growth and organization. RNA functions extend far beyond just coding for proteins and RNA has been shown to function in signaling events, chromatin organization and transcriptional regulation. Dissecting how the complex network of RNA-binding proteins (RBPs) and regulatory RNAs interact with their substrates within the cell is a real, but exciting, challenge for the RNA community. Investigating these biological questions has fueled the development of new quantitative technologies to measure how RNA and RBPs interact both locally and on a global scale. In this review, we provide an assessment of available approaches to enable researchers to select the protocol most applicable for their experimental question.

Indexed as

Binding SitesCross-Linking ReagentsGene Expression RegulationPhotochemical ProcessesProtein DomainsRNARNA-Binding ProteinsUltraviolet RaysCross-Linking ReagentsRNARNA-Binding Proteins

Identifiers

PMID31076772
PMCPMC6582316
OpenAlexW2943884917

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.