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Major Shifts in Glial Regional Identity Are a Transcriptional Hallmark of Human Brain Aging
- Source :
- Cell Reports, Vol 18, Iss 2, Pp 557-570 (2017)
- Publication Year :
- 2017
- Publisher :
- Elsevier, 2017.
-
Abstract
- Summary: Gene expression studies suggest that aging of the human brain is determined by a complex interplay of molecular events, although both its region- and cell-type-specific consequences remain poorly understood. Here, we extensively characterized aging-altered gene expression changes across ten human brain regions from 480 individuals ranging in age from 16 to 106 years. We show that astrocyte- and oligodendrocyte-specific genes, but not neuron-specific genes, shift their regional expression patterns upon aging, particularly in the hippocampus and substantia nigra, while the expression of microglia- and endothelial-specific genes increase in all brain regions. In line with these changes, high-resolution immunohistochemistry demonstrated decreased numbers of oligodendrocytes and of neuronal subpopulations in the aging brain cortex. Finally, glial-specific genes predict age with greater precision than neuron-specific genes, thus highlighting the need for greater mechanistic understanding of neuron-glia interactions in aging and late-life diseases. : Human brain aging is determined by a complex interplay of regional and cell-type-specific molecular events. Soreq et al. find that glial genes shift their regional expression patterns, while microglia-specific genes globally increase their expression upon aging. Moreover, immunohistochemistry reveals decreased numbers of oligodendrocytes and neuronal subpopulations in the aging neocortex. Keywords: aging, gene expression, machine learning, immunohistochemistry, brain, neurons, olgiodendrocytes, microglia, exon microarrays, RNA-seq
- Subjects :
- Biology (General)
QH301-705.5
Subjects
Details
- Language :
- English
- ISSN :
- 22111247
- Volume :
- 18
- Issue :
- 2
- Database :
- Directory of Open Access Journals
- Journal :
- Cell Reports
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.8f28a47ed9244654b744b32d534d4fbf
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.celrep.2016.12.011