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Cell type characterization of spatiotemporal gene co-expression modules in Down syndrome brainopen access

Authors
Seol, SihwanKwon, JoonhongKang, Hyo Jung
Issue Date
Jan-2023
Publisher
Elsevier Inc.
Keywords
Developmental neuroscience; Transcriptomics
Citation
iScience, v.26, no.1
Journal Title
iScience
Volume
26
Number
1
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60620
DOI
10.1016/j.isci.2022.105884
ISSN
2589-0042
2589-0042
Abstract
Down syndrome (DS) is the most common genetic cause of intellectual disability and increases the risk of other brain-related dysfunctions, like seizures, early-onset Alzheimer's disease, and autism. To reveal the molecular profiles of DS-associated brain phenotypes, we performed a meta-data analysis of the developmental DS brain transcriptome at cell type and co-expression module levels. In the DS brain, astrocyte-, microglia-, and endothelial cell-associated genes show upregulated patterns, whereas neuron- and oligodendrocyte-associated genes show downregulated patterns. Weighted gene co-expression network analysis identified cell type-enriched co-expressed gene modules. We present eight representative cell-type modules for neurons, astrocytes, oligodendrocytes, and microglia. We classified the neuron modules into glutamatergic and GABAergic neurons and associated them with detailed subtypes. Cell type modules were interpreted by analyzing spatiotemporal expression patterns, functional annotations, and co-expression networks of the modules. This study provides insight into the mechanisms underlying brain abnormalities in DS and related disorders. © 2022 The Author(s)
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