Evidence map›Paper›PMID 30618614›Full record

ArticleFrontiers in molecular neuroscience2018

Transcriptomic Analysis of Zebrafish TDP-43 Transgenic Lines.

Alexandra Lissouba, Meijiang Liao, Edor Kabashi, Pierre Drapeau

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Disease Modeling of Rare Neurological Disorders in Zebrafish.International journal of molecular sciences · 2022
    Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Zebrafish as a model organism for neurodegenerative disease.Frontiers in molecular neuroscience · 2022
    Review
  16. Article
  17. Illuminating ALS Motor Neurons With Optogenetics in Zebrafish.Frontiers in cell and developmental biology · 2021
    Review
  18. ModellingBiomedicines · 2020
    Review
  19. Neuromuscular disease modeling on a chip.Disease models & mechanisms · 2020
    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

4 authors at 2 institutions in 2 countries.

Alexandra LissoubaDepartment of Pathology and Cell Biology and Research Center of the University of Montréal Hospital Center, University of Montreal, Montréal, QC, Canada.
Meijiang LiaoDepartment of Pathology and Cell Biology and Research Center of the University of Montréal Hospital Center, University of Montreal, Montréal, QC, Canada.
Edor KabashiUMR CNRS 1127, UPMC INSERM U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, Sorbonne Université Paris VI, Paris, France.
Pierre DrapeauDepartment of Pathology and Cell Biology and Research Center of the University of Montréal Hospital Center, University of Montreal, Montréal, QC, Canada.
Université de Montréal · CASorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is a late-onset progressive neurodegenerative disorder that affects both upper and lower motor neurons, leading to muscle atrophy with spasticity and eventual death in 3-5 years after the disease onset. More than 50 mutations linked to ALS have been found in the gene

Indexed as

ALSamyotrophic lateral sclerosisTARDBPTDP-43zebrafish

Identifiers

PMID30618614
PMCPMC6301209
OpenAlexW2904760236

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.