Evidence map›Paper›PMID 33574420›Full record

ArticleScientific reports2021

Time dependent differential regulation of a novel long non-coding natural antisense RNA during long-term memory formation.

Sergei Korneev, Jekaterina Garaliene, Gabriella Taylor, Ildikó Kemenes, György Kemenes

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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

Sergei KorneevSussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK. s.korneev@sussex.ac.uk.
Jekaterina GaralieneSussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK.
Gabriella TaylorSussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK.
Ildikó KemenesSussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK.
György KemenesSussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/P00766X/1
6 · The paper itself

Abstract

Long natural antisense transcripts (NATs) have been demonstrated in significant numbers in a variety of eukaryotic organisms. They are particularly prevalent in the nervous system suggesting their importance in neural functions. However, the precise physiological roles of the overwhelming majority of long NATs remain unclear. Here we report on the characterization of a novel molluscan nitric oxide synthase (NOS)-related long non-coding NAT (Lym-NOS1AS). This NAT is spliced and polyadenylated and is transcribed from the non-template strand of the Lym-NOS1 gene. We demonstrate that the Lym-NOS1AS is co-expressed with the sense Lym-NOS1 mRNA in a key neuron of memory network. Also, we report that the Lym-NOS1AS is temporally and spatially regulated by one-trial conditioning leading to long term memory (LTM) formation. Specifically, in the cerebral, but not in the buccal ganglia, the temporal pattern of changes in Lym-NOS1AS expression after training correlates with the alteration of memory lapse and non-lapse periods. Our data suggest that the Lym-NOS1AS plays a role in the consolidation of nitric oxide-dependent LTM.

Indexed as

AnimalsGene Expression RegulationMemory, Long-TermMolluscaNeuronsNitric Oxide SynthaseRNA, AntisenseRNA, Long NoncodingRNA, MessengerNitric Oxide SynthaseRNA, AntisenseRNA, Long NoncodingRNA, Messenger

Identifiers

PMID33574420
PMCPMC7878882

What Socratic 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 Socratic graph.