Evidence map›Paper›PMID 26923056›Full record

ReviewCurrent opinion in structural biology2016

Decoding the RNA structurome.

Zhipeng Lu, Howard Y Chang

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Heterobifunctional small molecules to modulate RNA function.Trends in pharmacological sciences · 2024
    Review
  5. RNA Secondary Structure Modeling Following the IPANEMAP Workflow.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. RNA-Binding Macrocyclic Peptides.Frontiers in molecular biosciences · 2022
    Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. Trapping Transient RNA Complexes by Chemically Reversible Acylation.Angewandte Chemie (International ed. in English) · 2020
    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.

Zhipeng LuCenter for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA 94305, United States.
Howard Y ChangCenter for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA 94305, United States. Electronic address: howchang@stanford.edu.

Funding

Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
Structural Motifs in RNAR01HG004361 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2007 to 2018
$4.7M
NHGRI NIH HHS P50 HG007735NHGRI NIH HHS P50-HG007735NHGRI NIH HHS R01 HG004361NHGRI NIH HHS R01-HG004361
6 · The paper itself

Abstract

Structures of RNA molecules are essential for their architectural, regulatory, and catalytic functions. Recent advances in high throughput sequencing enabled the development of methods for probing RNA structures on a transcriptome-wide scale-termed the RNA structurome. Here we review the state-of-the-art technologies for probing the RNA structurome, and highlight insights gained from these studies. We also point out the limits of current methods and discuss potential directions for future improvements.

Indexed as

Nucleic Acid ConformationComputational BiologyRNAStructure-Activity RelationshipTranscriptomeRNA

Identifiers

PMID26923056
PMCPMC4785074

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.