Evidence map›Paper›PMID 20616000›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2010

Divergence of human and mouse brain transcriptome highlights Alzheimer disease pathways.

Jeremy A Miller, Steve Horvath, Daniel H Geschwind

Open access · greenAbstract readComparative Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 287 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
287citing papers in PubMed, 1 pooled it
20.2field-weighted citation impact, top 1% 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

287 citing papers in PubMed, 1 synthesis or guideline pooled it, 519 citations in OpenAlex.

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  20. Systems Genetics Analyses Reveals Key Genes Related to Behavioral Traits in the Striatum of CFW Mice.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article

227 more citing papers are in PubMed but not listed here.

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

3 authors at 3 institutions in 1 country.

Jeremy A MillerInterdepartmental Program for Neuroscience, Department of Human Genetics and Biostatistics, University of California, Los Angeles, CA 90095-1769, USA.
Steve Horvath
Daniel H Geschwind
Cancer Research And Biostatistics · USSociety for Neuroscience · USUniversity of California, Los Angeles · US

Funding

NATIONAL ALZHEIMERS COORDINATING CENTER (NACC)U01AG016976 · NIA · UNIVERSITY OF WASHINGTON · PI KUKULL, WALTER ANTHONY · 1999 to 2020
$72.8M
Systems genomics of metabolic syndrome traitsP01HL028481 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CANTOR, RITA M. · 1985 to 2019
$50.2M
Quantitative Biology CoreU19AI063603 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI SCHORK, NICHOLAS JOSEPH · 2004 to 2015
$26.4M
Identification and Characterization of Asymmetrically-Expressed GenesR37MH060233 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H · 2006 to 2014
$5.3M
Novel Genetic Risk Factors for Alzheimer's Disease (AD) & Frontotemporal DementiaR01AG026938 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H · 2005 to 2009
$2.5M
A gene expression study of regional vulnerability in Alzheimer's diseaseF31AG031649 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MILLER, JEREMY A · 2007 to 2009
$90k
NHLBI NIH HHS P01 HL028481NIAID NIH HHS U19 AI063603NIAID NIH HHS U19 AI063603-01NIA NIH HHS F31 AG031649NIA NIH HHS R01 AG026938NIA NIH HHS R01 AG26938-05NIA NIH HHS U01 AG016976NIMH NIH HHS R37 MH060233NIMH NIH HHS R37 MH 60233-09S1
6 · The paper itself

Abstract

Because mouse models play a crucial role in biomedical research related to the human nervous system, understanding the similarities and differences between mouse and human brain is of fundamental importance. Studies comparing transcription in human and mouse have come to varied conclusions, in part because of their relatively small sample sizes or underpowered methodologies. To better characterize gene expression differences between mouse and human, we took a systems-biology approach by using weighted gene coexpression network analysis on more than 1,000 microarrays from brain. We find that global network properties of the brain transcriptome are highly preserved between species. Furthermore, all modules of highly coexpressed genes identified in mouse were identified in human, with those related to conserved cellular functions showing the strongest between-species preservation. Modules corresponding to glial and neuronal cells were sufficiently preserved between mouse and human to permit identification of cross species cell-class marker genes. We also identify several robust human-specific modules, including one strongly correlated with measures of Alzheimer disease progression across multiple data sets, whose hubs are poorly-characterized genes likely involved in Alzheimer disease. We present multiple lines of evidence suggesting links between neurodegenerative disease and glial cell types in human, including human-specific correlation of presenilin-1 with oligodendrocyte markers, and significant enrichment for known neurodegenerative disease genes in microglial modules. Together, this work identifies convergent and divergent pathways in mouse and human, and provides a systematic framework that will be useful for understanding the applicability of mouse models for human brain disorders.

Indexed as

Gene Regulatory NetworksAlzheimer DiseaseAnimalsBrainGene Expression ProfilingHumansMaleMicePresenilin-1Systems BiologyPresenilin-1

Identifiers

PMID20616000
PMCPMC2906579
OpenAlexW2139511828

What OpenQuestion holds

Textmetadata
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.