Evidence map›Paper›PMID 20811459›Full record

ArticleNature2010

Genome-wide measurement of RNA secondary structure in yeast.

Michael Kertesz, Yue Wan, Elad Mazor, John L Rinn, Robert C Nutter, Howard Y Chang, Eran Segal

Open access · greenAbstract read
In one paragraph

Article in Nature, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 467 papers.

0numbers the graph read from it
0cells of the map it votes in
467citing papers in PubMed
22.0field-weighted citation impact, top 1% of its field
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

467 citing papers in PubMed, 792 citations in OpenAlex.

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  16. RNA secondary structure prediction by conducting multi-class classifications.Computational and structural biotechnology journal · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Identification of RNA structures and their roles in RNA functions.Nature reviews. Molecular cell biology · 2024
    Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Michael Kertesz *Dept. of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
Yue Wan *Howard Hughes Medical Institute, Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Elad MazorDept. of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
John L RinnThe Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
Robert C NutterLife Technologies, Foster City, CA 94404, USA.
Howard Y ChangHoward Hughes Medical Institute, Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Eran SegalDept. of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
Weizmann Institute of Science · ILHoward Hughes Medical Institute · USBroad Institute · US

Funding

Structural Motifs in RNAR01HG004361 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2007 to 2018
$4.7M
Howard Hughes Medical InstituteNHGRI NIH HHS R01 HG004361NHGRI NIH HHS R01HG004361
6 · The paper itself

Abstract

The structures of RNA molecules are often important for their function and regulation, yet there are no experimental techniques for genome-scale measurement of RNA structure. Here we describe a novel strategy termed parallel analysis of RNA structure (PARS), which is based on deep sequencing fragments of RNAs that were treated with structure-specific enzymes, thus providing simultaneous in vitro profiling of the secondary structure of thousands of RNA species at single nucleotide resolution. We apply PARS to profile the secondary structure of the messenger RNAs (mRNAs) of the budding yeast Saccharomyces cerevisiae and obtain structural profiles for over 3,000 distinct transcripts. Analysis of these profiles reveals several RNA structural properties of yeast transcripts, including the existence of more secondary structure over coding regions compared with untranslated regions, a three-nucleotide periodicity of secondary structure across coding regions and an anti-correlation between the efficiency with which an mRNA is translated and the structure over its translation start site. PARS is readily applicable to other organisms and to profiling RNA structure in diverse conditions, thus enabling studies of the dynamics of secondary structure at a genomic scale.

Indexed as

Genetic TechniquesNucleic Acid ConformationBase SequenceGenome-Wide Association StudyMolecular Sequence DataRNA, FungalRNA, MessengerSaccharomyces cerevisiaeTranscription, GeneticRNA, FungalRNA, Messenger

Identifiers

PMID20811459
PMCPMC3847670
OpenAlexW2038598202

What OpenQuestion holds

Textmetadata
LicenceTDM
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.