Evidence map›Paper›PMID 25323333›Full record

ArticleGenome biology2014

Genome-wide profiling of mouse RNA secondary structures reveals key features of the mammalian transcriptome.

Danny Incarnato, Francesco Neri, Francesca Anselmi, Salvatore Oliviero

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
7.0field-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

75 citing papers in PubMed, 128 citations in OpenAlex.

  1. Article
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  3. RNA Structure: Past, Future, and Gene Therapy Applications.International journal of molecular sciences · 2024
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  13. RNA Structure Determination by High-Throughput Structural Analysis.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  14. Review
  15. Recent advances in RNA structurome.Science China. Life sciences · 2022
    Review
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  18. Article
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  20. Review

15 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

4 authors at 1 institution in 1 country.

Danny IncarnatoHuman Genetics Foundation (HuGeF), via Nizza 52, Torino 10126, Italy.
Francesco Neri
Francesca Anselmi
Salvatore Oliviero
Italian institute for Genomic Medicine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe understanding of RNA structure is a key feature toward the comprehension of RNA functions and mechanisms of action. In particular, non-coding RNAs are thought to exert their functions by specific secondary structures, but an efficient annotation on a large scale of these structures is still missing.

resultsBy using a novel high-throughput method, named chemical inference of RNA structures, CIRS-seq, that uses dimethyl sulfate, and N-cyclohexyl- N'-(2-morpholinoethyl) carbodiimide metho-p-toluenesulfonate to modify RNA residues in single-stranded conformation within native deproteinized RNA secondary structures, we investigate the structural features of mouse embryonic stem cell transcripts. Our analysis reveals an unexpected higher structuring of the 5′ and 3′ untranslated regions compared to the coding regions, a reduced structuring at the Kozak sequence and stop codon, and a three-nucleotide periodicity across the coding region of messenger RNAs. We also observe that ncRNAs exhibit a higher degree of structuring with respect to protein coding transcripts. Moreover, we find that the Lin28a binding protein binds selectively to RNA motifs with a strong preference toward a single stranded conformation.

conclusionsThis work defines for the first time the complete RNA structurome of mouse embryonic stem cells,revealing an extremely distinct RNA structural landscape. These results demonstrate that CIRS-seq constitutes an important tool for the identification of native deproteinized RNA structures.

Indexed as

GenomeAnimalsEmbryonic Stem CellsGene Expression ProfilingMiceNucleic Acid ConformationRNARNA, MessengerRNA, UntranslatedRNARNA, MessengerRNA, Untranslated

Identifiers

PMID25323333
PMCPMC4220049
OpenAlexW2110436930

What OpenQuestion holds

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LicenceCC BY
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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.