Please use this identifier to cite or link to this item: doi:10.22028/D291-40792
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Title: Atlas of the aging mouse brain reveals white matter as vulnerable foci
Author(s): Hahn, Oliver
Foltz, Aulden G.
Atkins, Micaiah
Kedir, Blen
Moran-Losada, Patricia
Guldner, Ian H.
Munson, Christy
Kern, Fabian
Pálovics, Róbert
Lu, Nannan
Zhang, Hui
Kaur, Achint
Hull, Jacob
Huguenard, John R.
Grönke, Sebastian
Lehallier, Benoit
Partridge, Linda
Keller, Andreas
Wyss-Coray, Tony
Language: English
Title: Cell
Volume: 186
Issue: 19
Pages: 4117-4133.e22
Publisher/Platform: Elsevier
Year of Publication: 2023
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: Aging is the key risk factor for cognitive decline, yet the molecular changes underlying brain aging remain poorly understood. Here, we conducted spatiotemporal RNA sequencing of the mouse brain, profiling 1,076 samples from 15 regions across 7 ages and 2 rejuvenation interventions. Our analysis identified a brain-wide gene signature of aging in glial cells, which exhibited spatially defined changes in magnitude. By integrating spatial and single-nucleus transcriptomics, we found that glial aging was particularly accelerated in white matter compared with cortical regions, whereas specialized neuronal populations showed region-specific expression changes. Rejuvenation interventions, including young plasma injection and dietary restriction, exhibited distinct effects on gene expression in specific brain regions. Furthermore, we discovered differential gene expression patterns associated with three human neurodegenerative diseases, highlighting the importance of regional aging as a potential modulator of disease. Our findings identify molecular foci of brain aging, providing a foundation to target age-related cognitive decline.
DOI of the first publication: 10.1016/j.cell.2023.07.027
URL of the first publication: https://www.sciencedirect.com/science/article/abs/pii/S009286742300805X
Link to this record: urn:nbn:de:bsz:291--ds-407921
hdl:20.500.11880/36661
http://dx.doi.org/10.22028/D291-40792
ISSN: 0092-8674
Date of registration: 23-Oct-2023
Faculty: M - Medizinische Fakultät
Department: M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professorship: M - Univ.-Prof. Dr. Andreas Keller
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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