Evidence map›Paper›PMID 26086407›Full record

ArticleNature protocols2015

Genome-wide profiling of in vivo RNA structure at single-nucleotide resolution using structure-seq.

Yiliang Ding, Chun Kit Kwok, Yin Tang, Philip C Bevilacqua, Sarah M Assmann

Abstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

55 citing papers in PubMed, 106 citations in OpenAlex.

  1. Review
  2. Profiling RNA G-Quadruplexes In vivo.Current protocols · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. In vivo secondary structural analysis of Influenza A virus genomic RNA.Cellular and molecular life sciences : CMLS · 2023
    Article
  7. RNA Structure Determination by High-Throughput Structural Analysis.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Recent advances in RNA structurome.Science China. Life sciences · 2022
    Review
  14. Review
  15. Incorporation of a FRET Pair into a Riboswitch RNA to Measure MgInternational journal of molecular sciences · 2022
    Article
  16. Article
  17. Article
  18. Review
  19. RNA architecture influences plant biology.Journal of experimental botany · 2021
    Review
  20. Chemical Approaches To Analyzing RNA Structure Transcriptome-Wide.Chembiochem : a European journal of chemical biology · 2021
    Review
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

5 authors at 1 institution in 1 country.

Yiliang Ding1] Department of Biology, Pennsylvania State University, University Park, Pennsylvania, USA. [2] Department of Chemistry, Pennsylvania State University, University Park, Pennsylvania, USA. [3] Center for RNA Molecular Biology, Pennsylvania State University, University Park, Pennsylvania, USA.
Chun Kit Kwok1] Department of Chemistry, Pennsylvania State University, University Park, Pennsylvania, USA. [2] Center for RNA Molecular Biology, Pennsylvania State University, University Park, Pennsylvania, USA.
Yin Tang1] Department of Biology, Pennsylvania State University, University Park, Pennsylvania, USA. [2] Center for RNA Molecular Biology, Pennsylvania State University, University Park, Pennsylvania, USA. [3] Bioinformatics and Genomics Graduate Program, Pennsylvania State University, University Park, Pennsylvania, USA.
Philip C Bevilacqua1] Department of Chemistry, Pennsylvania State University, University Park, Pennsylvania, USA. [2] Center for RNA Molecular Biology, Pennsylvania State University, University Park, Pennsylvania, USA. [3] Plant Biology Graduate Program, Pennsylvania State University, University Park, Pennsylvania, USA.
Sarah M Assmann1] Department of Biology, Pennsylvania State University, University Park, Pennsylvania, USA. [2] Center for RNA Molecular Biology, Pennsylvania State University, University Park, Pennsylvania, USA. [3] Bioinformatics and Genomics Graduate Program, Pennsylvania State University, University Park, Pennsylvania, USA. [4] Plant Biology Graduate Program, Pennsylvania State University, University Park, Pennsylvania, USA.
Pennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structure-seq is a high-throughput and quantitative method that provides genome-wide information on RNA structure at single-nucleotide resolution. Structure-seq can be performed both in vivo and in vitro to study RNA structure-function relationships, RNA regulation of gene expression and RNA processing. Structure-seq can be carried out by an experienced molecular biologist with a basic understanding of bioinformatics. Structure-seq begins with chemical RNA structure probing under single-hit kinetics conditions. Certain chemical modifications, e.g., methylation of the Watson-Crick face of unpaired adenine and cytosine residues by dimethyl sulfate, result in a stop in reverse transcription. Modified RNA is then subjected to reverse transcription using random hexamer primers, which minimizes 3' end bias; reverse transcription proceeds until it is blocked by a chemically modified residue. Resultant cDNAs are amplified by adapter-based PCR and subjected to high-throughput sequencing, subsequently allowing retrieval of the structural information on a genome-wide scale. In contrast to classical methods that provide information only on individual transcripts, a single structure-seq experiment provides information on tens of thousands of RNA structures in ∼1 month. Although the procedure described here is for Arabidopsis thaliana seedlings in vivo, structure-seq is widely applicable, thereby opening new avenues to explore RNA structure-function relationships in living organisms.

Indexed as

ArabidopsisGene Expression ProfilingGenomic LibraryHigh-Throughput Nucleotide SequencingNucleic Acid ConformationRNARNA, PlantSequence Analysis, RNARNARNA, Plant

Identifiers

PMID26086407
OpenAlexW1551812998

What Socratic 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 Socratic graph.