Evidence map›Paper›PMID 29760717›Full record

ArticleFrontiers in genetics2018

Reduced Neuronal Transcription of

Alexander V Symonenko, Natalia V Roshina, Anna V Krementsova, Elena G Pasyukova

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 42% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Naturally Occurring Variability in the Regulatory Region of theInternational journal of molecular sciences · 2026
    Article
  2. Article
  3. The Effect of theInternational journal of molecular sciences · 2023
    Article
  4. Article
  5. Disordered Expression ofInternational journal of molecular sciences · 2019
    Article
  6. 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

4 authors at 2 institutions in 1 country.

Alexander V SymonenkoLaboratory of Genome Variation, Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, Russia.
Natalia V RoshinaLaboratory of Genome Variation, Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, Russia.
Anna V KrementsovaLaboratory of Genome Variation, Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, Russia.
Elena G PasyukovaLaboratory of Genome Variation, Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, Russia.
Institute of Molecular Genetics · RUInstitute of Biochemical Physics NM Emanuel · RU

Funding

Resource Component: Acquisition, maintenance and distribution of Drosophila stocksP40OD018537 · OD · TRUSTEES OF INDIANA UNIVERSITY · PI Annette L. Parks · 2014 to 2026
$13.5M
Drosophila Transgenic RNAi Resource ProjectR01GM084947 · NIGMS · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2008 to 2019
$9.8M
NIGMS NIH HHS R01 GM084947NIH HHS P40 OD018537
6 · The paper itself

Abstract

In recent years, several genes involved in complex neuron specification networks have been shown to control life span. However, information on these genes is scattered, and studies to discover new neuronal genes and gene cascades contributing to life span control are needed, especially because of the recognized role of the nervous system in governing homeostasis, aging, and longevity. Previously, we demonstrated that several genes that encode RNA polymerase II transcription factors and that are involved in the development of the nervous system affect life span in

Indexed as

agingDrosophila melanogasterlife spanlongevitythe nervous systemtranscriptiontranscription factor

Identifiers

PMID29760717
PMCPMC5936762
OpenAlexW2796468132

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.