Evidence map›Paper›PMID 32751504›Full record

ArticleCells2020

In-Depth Analysis Reveals Production of Circular RNAs from Non-Coding Sequences.

Annie Robic, Julie Demars, Christa Kühn

Open access · goldAbstract read
In one paragraph

Article in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Circular RNAs in cardiovascular diseases.Pharmacology & therapeutics · 2022
    Review
  11. Article
  12. Review
  13. 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

3 authors at 2 institutions in 2 countries.

Annie RobicGenPhySE, Université de Toulouse, INRAE, ENVT, 31326 Castanet Tolosan, France.ORCID 0000-0003-3071-8614
Julie DemarsGenPhySE, Université de Toulouse, INRAE, ENVT, 31326 Castanet Tolosan, France.
Christa KühnInstitute of Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), 18196 Dummerstorf, Germany.ORCID 0000-0002-0216-424X
École Nationale Vétérinaire de Toulouse · FRResearch Institute for Farm Animal Biology (FBN) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sequencing of total RNA depleted for ribosomal sequences remains the method of choice for the study of circRNAs. Our objective was to characterize non-canonical circRNAs, namely not originating from back splicing and circRNA produced by non-coding genes. To this end, we analyzed a dataset from porcine testis known to contain about 100 intron-derived circRNAs. Labelling reads containing a circular junction and originating from back splicing provided information on the very small contribution of long non-coding genes to the production of canonical circRNAs. Analyses of the other reads revealed two origins for non-canonical circRNAs: (1) Intronic sequences for lariat-derived intronic circRNAs and intron circles, (2) Mono-exonic genes (mostly non-coding) for either a new type of circRNA (including only part of the exon: sub-exonic circRNAs) or, even more rarely, mono-exonic canonical circRNAs. The most complex set of sub-exonic circRNAs was produced by

Indexed as

AnimalsBase SequenceEndoribonucleasesExonsIntronsMaleNerve Tissue ProteinsPseudogenesRNA, CircularRNA-SeqRNA SplicingSwineTestisEndoribonucleasesmitochondrial RNA-processing endoribonucleaseNerve Tissue ProteinsRNA, Circularcircular junctionexonic circRNAintronintron circleintronic circRNAintronic lariatnon-codingpig testissisRNAsub-exonic circRNA

Identifiers

PMID32751504
PMCPMC7464727
OpenAlexW3046082802

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.