Please use this identifier to cite or link to this item: doi:10.22028/D291-45597
Title: A spatio-temporal brain miRNA expression atlas identifies sex-independent age-related microglial driven miR-155-5p increase
Author(s): Engel, Annika
Wagner, Viktoria
Hahn, Oliver
Foltz, Aulden G
Atkins, Micaiah
Beganovic, Amila
Guldner, Ian H
Lu, Nannan
Saksena, Aryaman
Fischer, Ulrike
Ludwig, Nicole
Meese, Eckart
Wyss-Coray, Tony
Keller, Andreas
Language: English
Title: Nature Communications
Volume: 16
Issue: 1
Publisher/Platform: Springer Nature
Year of Publication: 2025
Free key words: Development of the nervous system
Molecular neuroscience
Neuroscience
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: An in-depth understanding of the molecular processes composing aging is crucial to develop therapeutic approaches that decrease aging as a key risk factor for cognitive decline. Herein, we present a spatio-temporal brain atlas (15 different regions) of microRNA expression across the mouse lifespan (7 time points) and two aging interventions. MicroRNAs are promising therapeutic targets, as they silence genes by complementary base-pair binding of messenger RNAs and mediate aging speed. We first established sex- and brain-region-specific microRNA expression patterns in young adult samples. Then we focused on sex-dependent and independent brain-region-specific microRNA expression changes during aging. We identified three sex-independent brain aging microRNAs (miR-146a-5p, miR-155-5p, and miR-5100). For miR-155-5p, we showed that these expression changes are driven by aging microglia and target mTOR signaling pathway components and other cellular communication pathways. In this work, we identify strong sex-brain-region-specific aging microRNAs and microglial miR-155-5p as a promising therapeutic target.
DOI of the first publication: 10.1038/s41467-025-59860-6
URL of the first publication: https://doi.org/10.1038/s41467-025-59860-6
Link to this record: urn:nbn:de:bsz:291--ds-455978
hdl:20.500.11880/40106
http://dx.doi.org/10.22028/D291-45597
ISSN: 2041-1723
Date of registration: 10-Jun-2025
Description of the related object: Supplementary information
Related object: https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-025-59860-6/MediaObjects/41467_2025_59860_MOESM1_ESM.pdf
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https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-025-59860-6/MediaObjects/41467_2025_59860_MOESM14_ESM.pdf
https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-025-59860-6/MediaObjects/41467_2025_59860_MOESM15_ESM.pdf
Faculty: M - Medizinische Fakultät
Department: M - Humangenetik
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professorship: M - Univ.-Prof. Dr. Andreas Keller
M - Prof. Dr. Eckart Meese
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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