Evidence map›Paper›PMID 36994077›Full record

ArticleiScience2023

Alterations in oligodendrocyte transcriptional networks reveal region-specific vulnerabilities to neurological disease.

Dario Tommasini, Rachel Fox, Kathie J Ngo, Jason D Hinman, Brent L Fogel

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

5 authors at 1 institution in 1 country.

Dario TommasiniDepartment of Neurology, UCLA David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Rachel FoxDepartment of Human Genetics, UCLA David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Kathie J NgoDepartment of Neurology, UCLA David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Jason D HinmanDepartment of Neurology, UCLA David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Brent L FogelDepartment of Neurology, UCLA David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
University of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurological disease is characterized the by dysfunction of specific neuroanatomical regions. To determine whether region-specific vulnerabilities have a transcriptional basis at cell-type-specific resolution, we analyzed gene expression in mouse oligodendrocytes across various brain regions. Oligodendrocyte transcriptomes cluster in an anatomical arrangement along the rostrocaudal axis. Moreover, regional oligodendrocyte populations preferentially regulate genes implicated in diseases that target their region of origin. Systems-level analyses identify five region-specific co-expression networks representing distinct molecular pathways in oligodendrocytes. The cortical network exhibits alterations in mouse models of intellectual disability and epilepsy, the cerebellar network in ataxia, and the spinal network in multiple sclerosis. Bioinformatic analyses reveal potential molecular regulators of these networks, which were confirmed to modulate network expression

Indexed as

Biological sciencesCellular neuroscienceNeuroscience

Identifiers

PMID36994077
PMCPMC10040735
OpenAlexW4323545951

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.