Spatiotemporal gene expression mapping of brain aging in mice

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Abstract/Contents

Abstract: In aging individuals, the brain is a vulnerable organ and at higher risk of neurodegenerative disease, yet mechanisms underlying the aging process in the brain are not fully understood. Previous studies have shown that the impact of aging on the brain involves a multitude of biological processes which differ between brain regions, however a comprehensive understanding of age-related gene expression dynamics in many brain regions across multiple ages remains to exist. This research aims to characterize spatiotemporal gene expression patterns associated with aging across several brain regions in mice. 10X Visium spatial transcriptomes of healthy mice aged 6, 18, and 21 months are analyzed to investigate region-specific expression changes over time. An interactive web application is available to enable access to the spatial transcriptomic dataset. The findings suggest that aging across the brain occurs in a heterogenous fashion, affecting different brain regions at different magnitudes and through a variety of gene pathways. Due to their accelerated rates of aging, white matter tracts, areas in the brain made up of myelinated axons, may be of interest as “hotspots” of aging.

Type of resource	text
Publication date	May 4, 2023

Author	Kedir, Blen	https://orcid.org/0000-0003-1654-2149 (unverified)
Data contributor	Hahn, Oliver	https://orcid.org/0000-0001-9015-4545 (unverified)
Thesis advisor	Wyss-Coray, Tony	https://orcid.org/0000-0001-5893-0831 (unverified)
Thesis advisor	Luo, Liqun	https://orcid.org/0000-0001-5467-9264 (unverified)
Degree granting institution	Stanford University, Department of Biology

Related item	Title A spatiotemporal map of the aging mouse brain reveals white matter tracts as vulnerable foci
DOI	https://doi.org/10.25740/rk942tq9863
Location	https://purl.stanford.edu/rk942tq9863

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Preferred citation: Kedir, B., Hahn, O., and Wyss-Coray, T. (2023). Spatiotemporal gene expression mapping of brain aging in mice. Stanford Digital Repository. Available at https://purl.stanford.edu/rk942tq9863. https://doi.org/10.25740/rk942tq9863.

Undergraduate Theses, Department of Biology, 2022-2023

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