Abstract

Rare variants in TREM2 cause susceptibility to late-onset Alzheimer's disease. Here we use microarray-based expression data generated from 101 neuropathologically normal individuals and covering 10 brain regions, including the hippocampus, to understand TREM2 biology in human brain. Using network analysis, we detect a highly preserved TREM2-containing module in human brain, show that it relates to microglia, and demonstrate that TREM2 is a hub gene in 5 brain regions, including the hippocampus, suggesting that it can drive module function. Using enrichment analysis we show significant overrepresentation of genes implicated in the adaptive and innate immune system. Inspection of genes with the highest connectivity to TREM2 suggests that it plays a key role in mediating changes in the microglial cytoskeleton necessary not only for phagocytosis, but also migration. Most importantly, we show that the TREM2-containing module is significantly enriched for genes genetically implicated in Alzheimer's disease, multiple sclerosis, and motor neuron disease, implying that these diseases share common pathways centered on microglia and that among the genes identified are possible new disease-relevant genes.

Keywords

TREM2MicrogliaBiologyGeneInnate immune systemMicroarray analysis techniquesHuman brainNeuroscienceDiseaseAlzheimer's diseaseComputational biologyGeneticsGene expressionImmune systemImmunologyMedicinePathologyInflammation

MeSH Terms

Adaptive ImmunityAlzheimer DiseaseBrainGene ExpressionGenetic Predisposition to DiseaseGenetic VariationHumansImmunityInnateMembrane GlycoproteinsMicrogliaMotor Neuron DiseaseMultiple SclerosisPhagocytosisProtein Array AnalysisReceptorsImmunologic

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Publication Info

Year
2013
Type
article
Volume
34
Issue
12
Pages
2699-2714
Citations
190
Access
Closed

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190
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11
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157
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Cite This

Paola Forabosco, Adaikalavan Ramasamy, Daniah Trabzuni et al. (2013). Insights into TREM2 biology by network analysis of human brain gene expression data. Neurobiology of Aging , 34 (12) , 2699-2714. https://doi.org/10.1016/j.neurobiolaging.2013.05.001

Identifiers

DOI
10.1016/j.neurobiolaging.2013.05.001
PMID
23855984
PMCID
PMC3988951

Data Quality

Data completeness: 90%