Evidence map›Paper›PMID 31767574›Full record

SynthesiseNeuro

Mega-Analysis of Gene Expression in Mouse Models of Alzheimer's Disease.

Beryl Zhuang, B Ogan Mancarci, Lilah Toker, Paul Pavlidis

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in eNeuro. 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 35% 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, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Curation of over 10 000 transcriptomic studies to enable data reuse.Database : the journal of biological databases and curation · 2021
    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 1 institution in 1 country.

Beryl ZhuangGraduate Program in Bioinformatics, University of British Columbia, Vancouver V6T1Z4, Canada.
B Ogan MancarciGraduate Program in Bioinformatics, University of British Columbia, Vancouver V6T1Z4, Canada.ORCID 0000-0002-1452-0889
Lilah TokerDepartment of Psychiatry, University of British Columbia, Vancouver V6T1Z4, Canada.
Paul PavlidisDepartment of Psychiatry, University of British Columbia, Vancouver V6T1Z4, Canada paul@msl.ubc.ca.ORCID 0000-0002-0426-5028
University of British Columbia · CA

Funding

Neuroinformatics for gene expression: networks, function and meta-analysisR01MH111099 · NIMH · UNIVERSITY OF BRITISH COLUMBIA · PI PAVLIDIS, PAUL · 2016 to 2025
$3.6M
NIMH NIH HHS R01 MH111099
6 · The paper itself

Abstract

While multiple studies have been conducted of gene expression in mouse models of Alzheimer's disease (AD), their findings have not reached a clear consensus and have not accounted for the potentially confounding effects of changes in cellular composition. To help address this gap, we conducted a re-analysis based meta-analysis (mega-analysis) of ten independent studies of hippocampal gene expression in mouse models of AD. We used estimates of cellular composition as covariates in statistical models aimed to identify genes differentially expressed (DE) at either early or late stages of progression. Our analysis revealed changes in gene expression at early phases shared across studies, including dysregulation of genes involved in cholesterol biosynthesis and the complement system. Expression changes at later stages were dominated by cellular compositional effects. Thus, despite the considerable heterogeneity of the mouse models, we identified common patterns that may contribute to our understanding of AD etiology. Our work also highlights the importance of controlling for cellular composition effects in genomics studies of neurodegeneration.

Indexed as

Gene ExpressionTranscriptomeAlzheimer DiseaseAnimalsComputational BiologyDisease Models, AnimalMiceAlzheimer’sbioinformaticsgenomicsmetaanalysistranscriptome

Identifiers

PMID31767574
PMCPMC6893236
OpenAlexW2990294110

What OpenQuestion holds

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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.