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Brain-wide cell-type-specific transcriptomic signatures of healthy ageing in mice

Kelly Jin, Zizhen Yao, Cindy T. J. Velthoven, Eitan S. Kaplan, Katie Glattfelder, Samuel T. Barlow, Gabriella Boyer, Daniel Carey, Tamara Casper, Anish Bhaswanth Chakka, Rushil Chakrabarty, Michael Clark, Max Departee, Marie Desierto, Amanda Gary, Jessica Gloe, Jeff Goldy, Nathan Guilford, Junitta Guzman, Daniel Hirschstein, Changkyu Lee, Elizabeth Liang, Trangthanh Pham, Melissa Reding, Kara Ronellenfitch, Augustin Ruiz, Josh Sevigny, Nadiya Shapovalova, Lyudmila Shulga, Josef Sulc, Amy Torkelson, Herman Tung, Boaz Levi, Susan M. Sunkin, Nick Dee, Luke Esposito, Kimberly A. Smith, Bosiljka Tasic () and Hongkui Zeng ()
Additional contact information
Kelly Jin: Allen Institute for Brain Science
Zizhen Yao: Allen Institute for Brain Science
Cindy T. J. Velthoven: Allen Institute for Brain Science
Eitan S. Kaplan: Allen Institute for Brain Science
Katie Glattfelder: Allen Institute for Brain Science
Samuel T. Barlow: Allen Institute for Brain Science
Gabriella Boyer: Allen Institute for Brain Science
Daniel Carey: Allen Institute for Brain Science
Tamara Casper: Allen Institute for Brain Science
Anish Bhaswanth Chakka: Allen Institute for Brain Science
Rushil Chakrabarty: Allen Institute for Brain Science
Michael Clark: Allen Institute for Brain Science
Max Departee: Allen Institute for Brain Science
Marie Desierto: Allen Institute for Brain Science
Amanda Gary: Allen Institute for Brain Science
Jessica Gloe: Allen Institute for Brain Science
Jeff Goldy: Allen Institute for Brain Science
Nathan Guilford: Allen Institute for Brain Science
Junitta Guzman: Allen Institute for Brain Science
Daniel Hirschstein: Allen Institute for Brain Science
Changkyu Lee: Allen Institute for Brain Science
Elizabeth Liang: Allen Institute for Brain Science
Trangthanh Pham: Allen Institute for Brain Science
Melissa Reding: Allen Institute for Brain Science
Kara Ronellenfitch: Allen Institute for Brain Science
Augustin Ruiz: Allen Institute for Brain Science
Josh Sevigny: Allen Institute for Brain Science
Nadiya Shapovalova: Allen Institute for Brain Science
Lyudmila Shulga: Allen Institute for Brain Science
Josef Sulc: Allen Institute for Brain Science
Amy Torkelson: Allen Institute for Brain Science
Herman Tung: Allen Institute for Brain Science
Boaz Levi: Allen Institute for Brain Science
Susan M. Sunkin: Allen Institute for Brain Science
Nick Dee: Allen Institute for Brain Science
Luke Esposito: Allen Institute for Brain Science
Kimberly A. Smith: Allen Institute for Brain Science
Bosiljka Tasic: Allen Institute for Brain Science
Hongkui Zeng: Allen Institute for Brain Science

Nature, 2025, vol. 638, issue 8049, 182-196

Abstract: Abstract Biological ageing can be defined as a gradual loss of homeostasis across various aspects of molecular and cellular function1,2. Mammalian brains consist of thousands of cell types3, which may be differentially susceptible or resilient to ageing. Here we present a comprehensive single-cell RNA sequencing dataset containing roughly 1.2 million high-quality single-cell transcriptomes of brain cells from young adult and aged mice of both sexes, from regions spanning the forebrain, midbrain and hindbrain. High-resolution clustering of all cells results in 847 cell clusters and reveals at least 14 age-biased clusters that are mostly glial types. At the broader cell subclass and supertype levels, we find age-associated gene expression signatures and provide a list of 2,449 unique differentially expressed genes (age-DE genes) for many neuronal and non-neuronal cell types. Whereas most age-DE genes are unique to specific cell types, we observe common signatures with ageing across cell types, including a decrease in expression of genes related to neuronal structure and function in many neuron types, major astrocyte types and mature oligodendrocytes, and an increase in expression of genes related to immune function, antigen presentation, inflammation, and cell motility in immune cell types and some vascular cell types. Finally, we observe that some of the cell types that demonstrate the greatest sensitivity to ageing are concentrated around the third ventricle in the hypothalamus, including tanycytes, ependymal cells, and certain neuron types in the arcuate nucleus, dorsomedial nucleus and paraventricular nucleus that express genes canonically related to energy homeostasis. Many of these types demonstrate both a decrease in neuronal function and an increase in immune response. These findings suggest that the third ventricle in the hypothalamus may be a hub for ageing in the mouse brain. Overall, this study systematically delineates a dynamic landscape of cell-type-specific transcriptomic changes in the brain associated with normal ageing that will serve as a foundation for the investigation of functional changes in ageing and the interaction of ageing and disease.

Date: 2025
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DOI: 10.1038/s41586-024-08350-8

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