Evidence map›Paper›PMID 30053264›Full record

ArticleNucleic acids research2018

Updates to the RNA mapping database (RMDB), version 2.

Joseph D Yesselman, Siqi Tian, Xin Liu, Lei Shi, Jin Billy Li, Rhiju Das

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Computational Prediction of Gene Regulation by lncRNAs.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  2. Ribonanza: deep learning of RNA structure through dual crowdsourcing.bioRxiv : the preprint server for biology · 2024
    Article
  3. Article
  4. RNA Secondary Structure Alteration Caused by Single Nucleotide Variants.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  5. Genome-Wide RNA Secondary Structure Prediction.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  6. Article
  7. Decoding LncRNAs.Cancers · 2021
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. High-throughput determination of RNA structures.Nature reviews. Genetics · 2018
    Review
  14. Article
  15. Article
  16. 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

6 authors.

Joseph D YesselmanDepartment of Biochemistry, Stanford University School of Medicine, Stanford CA 94305, USA.
Siqi TianDepartment of Biochemistry, Stanford University School of Medicine, Stanford CA 94305, USA.
Xin LiuDepartment of Genetics, Stanford University School of Medicine, Stanford CA 94305, USA.
Lei Shi
Jin Billy LiDepartment of Genetics, Stanford University School of Medicine, Stanford CA 94305, USA.
Rhiju DasDepartment of Biochemistry, Stanford University School of Medicine, Stanford CA 94305, USA.

Funding

Next-generation computational/chemical methods for complex RNA structuresR35GM122579 · NIGMS · STANFORD UNIVERSITY · PI Rhiju Das · 2017 to 2026
$7.2M
Internet-scale discovery of RNA bioengineering rulesR01GM100953 · NIGMS · STANFORD UNIVERSITY · PI DAS, RHIJU · 2012 to 2015
$1.8M
Toward Atomic-Accuracy Design of Functional RNAsF32GM112294 · NIGMS · STANFORD UNIVERSITY · PI YESSELMAN, JOSEPH · 2015 to 2017
$113k
NIGMS NIH HHS F32 GM112294NIGMS NIH HHS R01 GM100953NIGMS NIH HHS R35 GM122579
6 · The paper itself

Abstract

Chemical mapping is a broadly utilized technique for probing the structure and function of RNAs. The volume of chemical mapping data continues to grow as more researchers routinely employ this information and as experimental methods increase in throughput and information content. To create a central location for these data, we established an RNA mapping database (RMDB) 5 years ago. The RMDB, which is available at http://rmdb.stanford.edu, now contains chemical mapping data for over 800 entries, involving 134 000 natural and engineered RNAs, in vitro and in cellulo. The entries include large data sets from multidimensional techniques that focus on RNA tertiary structure and co-transcriptional folding, resulting in over 15 million residues probed. The database interface has been redesigned and now offers interactive graphical browsing of structural, thermodynamic and kinetic data at single-nucleotide resolution. The front-end interface now uses the force-directed RNA applet for secondary structure visualization and other JavaScript-based views of bar graphs and annotations. A new interface also streamlines the process for depositing new chemical mapping data to the RMDB.

Indexed as

Databases, Nucleic AcidNucleic Acid ConformationRNAUser-Computer InterfaceRNA

Identifiers

PMID30053264
PMCPMC5753257

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.