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doi:10.22028/D291-40792
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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