Evidence map›Paper›PMID 30937442›Full record

ArticleNucleic acids research2019

The sncRNA Zoo: a repository for circulating small noncoding RNAs in animals.

Tobias Fehlmann, Christina Backes, Marcello Pirritano, Thomas Laufer, Valentina Galata, Fabian Kern, Mustafa Kahraman, Gilles Gasparoni, Nicole Ludwig, Hans-Peter Lenhof and 5 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Review
  6. Article
  7. Review
  8. 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

15 authors.

Tobias FehlmannChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Christina BackesChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Marcello PirritanoMolecular Cell Dynamics, Center for Human and Molecular Biology, Saarland University, 66123 Saarbrücken, Germany.
Thomas LauferChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Valentina GalataChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Fabian KernChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Mustafa KahramanChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Gilles GasparoniDepartment of Genetics, Center for Human and Molecular Biology, Saarland University, 66123 Saarbrücken, Germany.
Nicole LudwigDepartment of Human Genetics, Saarland University Hospital, 66421 Homburg, Germany.
Hans-Peter LenhofChair for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Henrike A GregersenZoological Garden Neunkirchen, 66538 Neunkirchen, Germany.
Richard FranckeZoological Garden Saarbrücken, 66121 Saarbrücken, Germany.
Eckart MeeseDepartment of Human Genetics, Saarland University Hospital, 66421 Homburg, Germany.
Martin SimonMolecular Cell Dynamics, Center for Human and Molecular Biology, Saarland University, 66123 Saarbrücken, Germany.
Andreas KellerChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The repertoire of small noncoding RNAs (sncRNAs), particularly miRNAs, in animals is considered to be evolutionarily conserved. Studies on sncRNAs are often largely based on homology-based information, relying on genomic sequence similarity and excluding actual expression data. To obtain information on sncRNA expression (including miRNAs, snoRNAs, YRNAs and tRNAs), we performed low-input-volume next-generation sequencing of 500 pg of RNA from 21 animals at two German zoological gardens. Notably, none of the species under investigation were previously annotated in any miRNA reference database. Sequencing was performed on blood cells as they are amongst the most accessible, stable and abundant sources of the different sncRNA classes. We evaluated and compared the composition and nature of sncRNAs across the different species by computational approaches. While the distribution of sncRNAs in the different RNA classes varied significantly, general evolutionary patterns were maintained. In particular, miRNA sequences and expression were found to be even more conserved than previously assumed. To make the results available for other researchers, all data, including expression profiles at the species and family levels, and different tools for viewing, filtering and searching the data are freely available in the online resource ASRA (Animal sncRNA Atlas) at https://www.ccb.uni-saarland.de/asra/.

Indexed as

Computational BiologyAnimalsAnimals, ZooCell-Free Nucleic AcidsGenomeGermanyMicroRNAsRNA, Small NucleolarRNA, Small UntranslatedRNA, TransferCell-Free Nucleic AcidsMicroRNAsRNA, Small NucleolarRNA, Small UntranslatedRNA, Transfer

Identifiers

PMID30937442
PMCPMC6511844

What OpenQuestion holds

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LicenceCC BY-NC
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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.