Evidence map›Paper›PMID 30054568›Full record

ReviewNature reviews. Genetics2018

High-throughput determination of RNA structures.

Eric J Strobel, Angela M Yu, Julius B Lucks

Abstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers.

0numbers the graph read from it
0cells of the map it votes in
116citing 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

116 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  6. Article
  7. Review
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  9. Review
  10. Article
  11. In Vivo RNA Chemical Footprinting Analysis in Archaea.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Functions and therapeutic applications of pseudouridylation.Nature reviews. Molecular cell biology · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

56 more citing papers are in PubMed but not listed here.

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 J StrobelDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA.ORCID http://orcid.org/0000-0002-7082-2881
Angela M YuTri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0001-5404-594X
Julius B LucksDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA. jblucks@northwestern.edu.ORCID http://orcid.org/0000-0002-0619-6505

Funding

Tri-Institutional Training Program in Computational Biology & MedicineT32GM083937 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHRISTINI, DAVID J. · 2009 to 2018
$3.1M
A New High-Throughput Technology To Reveal The Dynamic Functional States of RNAsDP2GM110838 · NIGMS · NORTHWESTERN UNIVERSITY · PI LUCKS, JULIUS BEAU · 2013 to 2013
$2.1M
NIGMS NIH HHS DP2 GM110838NIGMS NIH HHS T32 GM083937
6 · The paper itself

Abstract

RNA performs and regulates a diverse range of cellular processes, with new functional roles being uncovered at a rapid pace. Interest is growing in how these functions are linked to RNA structures that form in the complex cellular environment. A growing suite of technologies that use advances in RNA structural probes, high-throughput sequencing and new computational approaches to interrogate RNA structure at unprecedented throughput are beginning to provide insights into RNA structures at new spatial, temporal and cellular scales.

Indexed as

Nucleic Acid ConformationRNAAnimalsComputational BiologyHigh-Throughput Nucleotide SequencingHumansSequence Analysis, RNARNA

Identifiers

PMID30054568
PMCPMC7388734

What OpenQuestion holds

Textmetadata
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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.