Evidence map›Paper›PMID 21965531›Full record

ArticleNucleic acids research2011

Simplified RNA secondary structure mapping by automation of SHAPE data analysis.

Phillip S Pang, Menashe Elazar, Edward A Pham, Jeffrey S Glenn

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

28 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. RNA Secondary Structure Modeling Following the IPANEMAP Workflow.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  3. Article
  4. Review
  5. Hepatitis C Virus Translation Regulation.International journal of molecular sciences · 2020
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

4 authors at 1 institution in 1 country.

Phillip S PangDepartment of Medicine, Stanford University Medical Center, Palo Alto, CA, USA.
Menashe Elazar
Edward A Pham
Jeffrey S Glenn
Stanford Medicine · US

Funding

HCV NS4B: Translating molecular virology into novel antiviral therapiesR01AI087917 · NIAID · STANFORD UNIVERSITY · PI GLENN, JEFFREY S · 2010 to 2014
$2.0M
The Molecular Basis of Hepatitis C Clinical Resistance to Interferon TherapyF32AI082930 · NIAID · STANFORD UNIVERSITY · PI PANG, PHILLIP SOON-HO · 2009 to 2010
$117k
Howard Hughes Medical InstituteNIAID NIH HHS 5R01AI087917-02NIAID NIH HHS F32AI082930NIAID NIH HHS R01 AI087917NIAID NIH HHS R01AI087917
6 · The paper itself

Abstract

SHAPE (Selective 2'-hydroxyl acylation analysed by primer extension) technology has emerged as one of the leading methods of determining RNA secondary structure at the nucleotide level. A significant bottleneck in using SHAPE is the complex and time-consuming data processing that is required. We present here a modified data collection method and a series of algorithms, embodied in a program entitled Fast Analysis of SHAPE traces (FAST), which significantly reduces processing time. We have used this method to resolve the secondary structure of the first ~900 nt of the hepatitis C virus (HCV) genome, including the entire core gene. We have also demonstrated the ability of SHAPE/FAST to detect the binding of a small molecule inhibitor to the HCV internal ribosomal entry site (IRES). In conclusion, FAST allows for high-throughput data processing to match the current high-throughput generation of data possible with SHAPE, reducing the barrier to determining the structure of RNAs of interest.

Indexed as

SoftwareAcylationAlgorithmsBase SequenceDNA PrimersElectrophoresis, CapillaryHepacivirusLigandsMolecular Sequence AnnotationNucleic Acid ConformationReproducibility of ResultsRNARNA, ViralViral Core ProteinsDNA PrimersLigandsnucleocapsid protein, Hepatitis C virusRNARNA, ViralViral Core Proteins

Identifiers

PMID21965531
PMCPMC3239176
OpenAlexW1993988566

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.