Evidence map›Paper›PMID 30791935›Full record

ArticleGenome biology2019

dStruct: identifying differentially reactive regions from RNA structurome profiling data.

Krishna Choudhary, Yu-Hsuan Lai, Elizabeth J Tran, Sharon Aviran

Abstract readValidation Study
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Ribosome-induced mRNA pseudoknot interactions visualized by DMS MaP-Seq.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Identification of RNA structures and their roles in RNA functions.Nature reviews. Molecular cell biology · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
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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.

Krishna ChoudharyDepartment of Biomedical Engineering and Genome Center, University of California, Davis, One Shields Avenue, Davis, 95616, CA, USA.
Yu-Hsuan LaiDepartment of Biochemistry, Purdue University, BCHM 305, 175 S. University Street, West Lafayette, 47907-2063, IN, USA.
Elizabeth J TranDepartment of Biochemistry, Purdue University, BCHM 305, 175 S. University Street, West Lafayette, 47907-2063, IN, USA.
Sharon AviranDepartment of Biomedical Engineering and Genome Center, University of California, Davis, One Shields Avenue, Davis, 95616, CA, USA. saviran@ucdavis.edu.ORCID 0000-0003-1872-9820

Funding

Transgenic Mouse Core Facility Shared Resource (TMCF-SR)P30CA023168 · NCI · PURDUE UNIVERSITY WEST LAFAYETTE · PI Andrea L Kasinski · 1985 to 2026
$43.4M
The Role of DEAD-box Proteins in Gene ExpressionR01GM097332 · NIGMS · PURDUE UNIVERSITY · PI TRAN, ELIZABETH J · 2011 to 2025
$4.1M
Methods for RNA structural analysis using computation and structure mapping experR00HG006860 · NHGRI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI AVIRAN, SHARON · 2014 to 2016
$725k
NCI NIH HHS P30 CA023168NCI NIH HHS P30-CA023168NHGRI NIH HHS R00 HG006860NHGRI NIH HHS R00-HG006860NIGMS NIH HHS R01 GM097332NIGMS NIH HHS R01-GM097332
6 · The paper itself

Abstract

RNA biology is revolutionized by recent developments of diverse high-throughput technologies for transcriptome-wide profiling of molecular RNA structures. RNA structurome profiling data can be used to identify differentially structured regions between groups of samples. Existing methods are limited in scope to specific technologies and/or do not account for biological variation. Here, we present dStruct which is the first broadly applicable method for differential analysis accounting for biological variation in structurome profiling data. dStruct is compatible with diverse profiling technologies, is validated with experimental data and simulations, and outperforms existing methods.

Indexed as

SoftwareGenomicsMolecular StructurePolymorphism, Single NucleotideRNATranscriptomeRNADifferential analysisDMSPARSRNA structureSHAPEStructure probingTranscriptome-wide profiling

Identifiers

PMID30791935
PMCPMC6385470

What OpenQuestion holds

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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.