Evidence map›Paper›PMID 24086438›Full record

ArticlePloS one2013

Mapping the small RNA content of simian immunodeficiency virions (SIV).

Markus Brameier, Wiebke Ibing, Katharina Höfer, Judith Montag, Christiane Stahl-Hennig, Dirk Motzkus

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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

6 authors at 1 institution in 1 country.

Markus BrameierPrimate Genetics Laboratory, German Primate Center, Göttingen, Germany.
Wiebke Ibing
Katharina Höfer
Judith Montag
Christiane Stahl-Hennig
Dirk Motzkus
German Primate Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent evidence indicates that regulatory small non-coding RNAs are not only components of eukaryotic cells and vesicles, but also reside within a number of different viruses including retroviral particles. Using ultra-deep sequencing we have comprehensively analyzed the content of simian immunodeficiency virions (SIV), which were compared to mock-control preparations. Our analysis revealed that more than 428,000 sequence reads matched the SIV mac239 genome sequence. Among these we could identify 12 virus-derived small RNAs (vsRNAs) that were highly abundant. Beside known retrovirus-enriched small RNAs, like 7SL-RNA, tRNA(Lys3) and tRNA(Lys) isoacceptors, we also identified defined fragments derived from small ILF3/NF90-associated RNA snaR-A14, that were enriched more than 50 fold in SIV. We also found evidence that small nucleolar RNAs U2 and U12 were underrepresented in the SIV preparation, indicating that the relative number or the content of co-isolated exosomes was changed upon infection. Our comprehensive atlas of SIV-incorporated small RNAs provides a refined picture of the composition of retrovirions, which gives novel insights into viral packaging.

Indexed as

Base SequenceCell LineExosomesHigh-Throughput Nucleotide SequencingHumansMicroRNAsMolecular Sequence DataRNA, RibosomalRNA, Small CytoplasmicRNA, Small NucleolarRNA, Transfer, LysRNA, UntranslatedRNA, ViralSignal Recognition ParticleSimian Immunodeficiency VirusVirion7SL RNAMicroRNAsRNA, RibosomalRNA, Small CytoplasmicRNA, Small NucleolarRNA, Transfer, LysRNA, UntranslatedRNA, ViralSignal Recognition Particle

Identifiers

PMID24086438
PMCPMC3781035
OpenAlexW1976424322

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.