Evidence map›Paper›PMID 28637286›Full record

ArticleNucleic acids research2017

Structure-seq2: sensitive and accurate genome-wide profiling of RNA structure in vivo.

Laura E Ritchey, Zhao Su, Yin Tang, David C Tack, Sarah M Assmann, Philip C Bevilacqua

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

56 citing papers in PubMed, 117 citations in OpenAlex.

  1. Article
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  7. Ribosome-induced mRNA pseudoknot interactions visualized by DMS MaP-Seq.bioRxiv : the preprint server for biology · 2025
    Article
  8. Identification of a conserved RNA structure in thebioRxiv : the preprint server for biology · 2025
    Article
  9. Rapid discovery of functional RNA domains.Nucleic acids research · 2025
    Article
  10. Article
  11. Article
  12. RNA Structure: Past, Future, and Gene Therapy Applications.International journal of molecular sciences · 2024
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. In vivo structure probing of RNA inRNA (New York, N.Y.) · 2023
    Article
  18. Article
  19. Article
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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

6 authors at 1 institution in 1 country.

Laura E RitcheyDepartment of Chemistry, Pennsylvania State University, University Park, PA 16802, USA.
Zhao SuDepartment of Biology, Pennsylvania State University, University Park, PA 16802, USA.
Yin TangBioinformatics and Genomics Graduate Program, Pennsylvania State University, University Park, PA 16802, USA.
David C TackDepartment of Biology, Pennsylvania State University, University Park, PA 16802, USA.
Sarah M AssmannDepartment of Biology, Pennsylvania State University, University Park, PA 16802, USA.
Philip C BevilacquaDepartment of Chemistry, Pennsylvania State University, University Park, PA 16802, USA.
Pennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA serves many functions in biology such as splicing, temperature sensing, and innate immunity. These functions are often determined by the structure of RNA. There is thus a pressing need to understand RNA structure and how it changes during diverse biological processes both in vivo and genome-wide. Here, we present Structure-seq2, which provides nucleotide-resolution RNA structural information in vivo and genome-wide. This optimized version of our original Structure-seq method increases sensitivity by at least 4-fold and improves data quality by minimizing formation of a deleterious by-product, reducing ligation bias, and improving read coverage. We also present a variation of Structure-seq2 in which a biotinylated nucleotide is incorporated during reverse transcription, which greatly facilitates the protocol by eliminating two PAGE purification steps. We benchmark Structure-seq2 on both mRNA and rRNA structure in rice (Oryza sativa). We demonstrate that Structure-seq2 can lead to new biological insights. Our Structure-seq2 datasets uncover hidden breaks in chloroplast rRNA and identify a previously unreported N1-methyladenosine (m1A) in a nuclear-encoded Oryza sativa rRNA. Overall, Structure-seq2 is a rapid, sensitive, and unbiased method to probe RNA in vivo and genome-wide that facilitates new insights into RNA biology.

Indexed as

Nucleic Acid ConformationBase SequenceElectrophoresis, Polyacrylamide GelGene Expression ProfilingGenome, PlantModels, GeneticOryzaReverse TranscriptionRNA, MessengerRNA, PlantSequence Analysis, DNASulfuric Acid Estersdimethyl sulfateRNA, MessengerRNA, PlantSulfuric Acid Esters

Identifiers

PMID28637286
PMCPMC5737731
OpenAlexW2625461439

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.