Evidence map›Paper›PMID 35626712›Full record

ArticleCells2022

Identification of the Transcriptional Biomarkers Panel Linked to Pathological Remodelling of the Eye Tissues in Various HD Mouse Models.

Iwona Mazur-Michałek, Marcin Ruciński, Mateusz Sowiński, Paulina Pietras, Marta Leśniczak-Staszak, Witold Szaflarski, Mark Isalan, Michal Mielcarek

Open access · goldAbstract read
In one paragraph

Article in Cells, 2022. 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
0.5field-weighted citation impact, top 44% 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, 5 citations in OpenAlex.

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

8 authors at 2 institutions in 2 countries.

Iwona Mazur-MichałekDepartment of Histology and Embryology, Poznan University of Medical Sciences, 61-701 Poznan, Poland.
Marcin RucińskiDepartment of Histology and Embryology, Poznan University of Medical Sciences, 61-701 Poznan, Poland.ORCID 0000-0002-2525-5777
Mateusz SowińskiDepartment of Histology and Embryology, Poznan University of Medical Sciences, 61-701 Poznan, Poland.ORCID 0000-0003-3258-9609
Paulina PietrasDepartment of Histology and Embryology, Poznan University of Medical Sciences, 61-701 Poznan, Poland.
Marta Leśniczak-StaszakDepartment of Histology and Embryology, Poznan University of Medical Sciences, 61-701 Poznan, Poland.
Witold SzaflarskiDepartment of Histology and Embryology, Poznan University of Medical Sciences, 61-701 Poznan, Poland.ORCID 0000-0001-5059-268X
Mark IsalanDepartment of Life Sciences, Imperial College London, Exhibition Road, London SW7 2AZ, UK.
Michal MielcarekDepartment of Life Sciences, Imperial College London, Exhibition Road, London SW7 2AZ, UK.ORCID 0000-0002-9874-6753
Poznan University of Medical Sciences · PLImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ocular abnormalities are becoming associated with a spectrum of pathological events in various neurodegenerative diseases. Huntington's disease (HD) is just such an example of a fatal neurological disorder, where mutated genes (CAG trinucleotide expansions in the

Indexed as

Huntington DiseaseNeurodegenerative DiseasesAnimalsBiomarkersDisease Models, AnimalEye ProteinsMembrane ProteinsMiceMutant ProteinsBiomarkersEye ProteinsMembrane ProteinsMutant ProteinsREEP6 protein, mousebiomarkersHuntington’s diseasemouse modelsocular neurodegenerationretinatranscriptional deregulation

Identifiers

PMID35626712
PMCPMC9139483
OpenAlexW4280605305

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.