Cell type characterization of spatiotemporal gene co-expression modules in Down syndrome brainopen access
- Authors
- Seol, Sihwan; Kwon, Joonhong; Kang, 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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Collections - College of Natural Sciences > Department of Life Science > 1. Journal Articles
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