Evidence map›Paper›PMID 24821474›Full record

ReviewNature reviews. Genetics2014

Insights into RNA structure and function from genome-wide studies.

Stefanie A Mortimer, Mary Anne Kidwell, Jennifer A Doudna

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 263 papers.

0numbers the graph read from it
0cells of the map it votes in
263citing 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

263 citing papers in PubMed.

  1. In silico unwinding ofRNA biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Nearest Neighbor Parameters for Estimating RNA Folding Stability withbioRxiv : the preprint server for biology · 2026
    Article
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  11. Review
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  17. Review
  18. Article
  19. Review
  20. Article

203 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.

Stefanie A Mortimer1] Department of Molecular and Cell Biology, University of California, Berkeley. [2] Guardant Health, Inc., 2686 Middlefield Road, Redwood City, California 94063, USA. [3].
Mary Anne Kidwell1] Department of Molecular and Cell Biology, University of California, Berkeley. [2].
Jennifer A Doudna1] Department of Molecular and Cell Biology, University of California, Berkeley. [2] Howard Hughes Medical Institute, University of California, Berkeley. [3] Department of Chemistry, University of California, Berkeley, California 94720, USA. [4] Physical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.

Funding

MOLECULAR BIOPHYSICS TRAINING GRANTT32GM008295 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HURLEY, JAMES H, WEMMER, DAVID E · 1989 to 2022
$8.1M
Howard Hughes Medical Institute
6 · The paper itself

Abstract

A comprehensive understanding of RNA structure will provide fundamental insights into the cellular function of both coding and non-coding RNAs. Although many RNA structures have been analysed by traditional biophysical and biochemical methods, the low-throughput nature of these approaches has prevented investigation of the vast majority of cellular transcripts. Triggered by advances in sequencing technology, genome-wide approaches for probing the transcriptome are beginning to reveal how RNA structure affects each step of protein expression and RNA stability. In this Review, we discuss the emerging relationships between RNA structure and the regulation of gene expression.

Indexed as

GenomeGenome-Wide Association StudyTranscriptomeAnimalsArabidopsisDrosophila melanogasterGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansNucleic Acid ConformationProtein BiosynthesisRNA, MessengerRNA StabilitySaccharomyces cerevisiaeRNA, Messenger

Identifiers

PMID24821474

What OpenQuestion holds

Textmetadata
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.