Evidence map›Paper›PMID 27256380›Full record

ArticleAdvances in experimental medicine and biology2016

Experimental and Computational Considerations in the Study of RNA-Binding Protein-RNA Interactions.

Eric L Van Nostrand, Stephanie C Huelga, Gene W Yeo

Abstract read
In one paragraph

Article in Advances in experimental medicine and biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. CG14906 (mettl4) mediates mCell discovery · 2020
    Article
  6. Review
  7. Review
  8. Article
  9. 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

3 authors.

Eric L Van NostrandDepartment of Cellular and Molecular Medicine, Stem Cell Program and Institute for Genomic Medicine, University of California, La Jolla, CA, USA.
Stephanie C HuelgaDepartment of Cellular and Molecular Medicine, Stem Cell Program and Institute for Genomic Medicine, University of California, La Jolla, CA, USA.
Gene W YeoDepartment of Cellular and Molecular Medicine, Stem Cell Program and Institute for Genomic Medicine, University of California, La Jolla, CA, USA. geneyeo@ucsd.edu.

Funding

Comprhensive analysis of functional RNA elements encoded in the human genomeU54HG007005 · NHGRI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI GRAVELEY, BRENTON R. · 2012 to 2017
$12.5M
Functional RNA elements in the human genomeR01HG004659 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Kevin Daniel Corbett, Eugene Wei-Ming Yeo · 2008 to 2026
$12.4M
Predoctoral and Postdoctoral Training in Cancer Cell BiologyT32CA067754 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEAN Y.J. WANG · 1995 to 2026
$6.5M
Defining the messenger RNP code in the brainR01NS075449 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI YEO, EUGENE WEI-MING · 2012 to 2016
$3.0M
NCI NIH HHS T32 CA067754NHGRI NIH HHS R01 HG004659NHGRI NIH HHS U54 HG007005NINDS NIH HHS R01 NS075449
6 · The paper itself

Abstract

After an RNA is transcribed, it undergoes a variety of processing steps that can change the encoded protein sequence (through alternative splicing and RNA editing), regulate the stability of the RNA, and control subcellular localization, timing, and rate of translation. The recent explosion in genomics techniques has enabled transcriptome-wide profiling of RNA processing in an unbiased manner. However, it has also brought with it both experimental challenges in developing improved methods to probe distinct processing steps, as well as computational challenges in data storage, processing, and analysis tools to enable large-scale interpretation in the genomics era. In this chapter we review experimental techniques and challenges in profiling various aspects of RNA processing, as well as recent efforts to develop analyses integrating multiple data sources and techniques to infer RNA regulatory networks.

Indexed as

AnimalsBinding SitesComputational BiologyDatasets as TopicGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansImmunoprecipitationModels, MolecularMutationNucleic Acid ConformationProtein BindingProtein ConformationRNARNA-Binding MotifsRNA-Binding ProteinsRNARNA-Binding ProteinsRNA PrecursorsBRIC_seqCLIP-seqeCLIPHITS-CLIPiCLIPMicroarrayPAR-CLIPRibo-seqRNA-binding proteinRNA processingRNA-seq

Identifiers

PMID27256380
PMCPMC5522005

What OpenQuestion holds

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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.