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Proteomic characterization of aging-driven changes in the mouse brain by co-expression network analysis

View ORCID ProfileKazuya Tsumagari, Yoshiaki Sato, Hirofumi Aoyagi, Hideyuki Okano, Junro Kuromitsu
doi: https://doi.org/10.1101/2023.05.23.542020
Kazuya Tsumagari
1Center for Integrated Medical Research, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan
2Proteome Homeostasis Research Unit, RIKEN Center for Integrative Medical Sciences, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
3Labolatory for Integrative Genomics, Proteome Homeostasis Research Unit, RIKEN Center for Integrative Medical Sciences, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
4Laboratory for Metabolomics, RIKEN Center for Integrative Medical Sciences, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
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  • ORCID record for Kazuya Tsumagari
  • For correspondence: kazuya.tsumagari@riken.jp j-kuromitsu@hhc.eisai.co.jp
Yoshiaki Sato
5Eisai-Keio Innovation Laboratory for Dementia, Human Biology Integration Foundation, Eisai Co., Ltd., Shinjuku-ku, Tokyo 160-8582, Japan
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Hirofumi Aoyagi
5Eisai-Keio Innovation Laboratory for Dementia, Human Biology Integration Foundation, Eisai Co., Ltd., Shinjuku-ku, Tokyo 160-8582, Japan
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Hideyuki Okano
6Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan
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Junro Kuromitsu
5Eisai-Keio Innovation Laboratory for Dementia, Human Biology Integration Foundation, Eisai Co., Ltd., Shinjuku-ku, Tokyo 160-8582, Japan
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  • For correspondence: kazuya.tsumagari@riken.jp j-kuromitsu@hhc.eisai.co.jp
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Abstract

Brain aging causes a progressive decline in functional capacity and is a strong risk factor for dementias such as Alzheimer’s disease. To characterize age-related proteomic changes in the brain, we used quantitative proteomics to examine brain tissues, cortex and hippocampus, of mice at three age points (3, 15, and 24 months old), and quantified more than 7,000 proteins in total with high reproducibility. We found that many of the proteins upregulated with age were extracellular proteins, such as extracellular matrix proteins and secreted proteins, associated with glial cells. On the other hand, many of the significantly downregulated proteins were associated with synapses, particularly postsynaptic density, specifically in the cortex but not in the hippocampus. Our datasets will be helpful as resources for understanding the molecular basis of brain aging.

Competing Interest Statement

YS, HA, and JK are employees of Eisai Co., Ltd.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted May 24, 2023.
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Proteomic characterization of aging-driven changes in the mouse brain by co-expression network analysis
Kazuya Tsumagari, Yoshiaki Sato, Hirofumi Aoyagi, Hideyuki Okano, Junro Kuromitsu
bioRxiv 2023.05.23.542020; doi: https://doi.org/10.1101/2023.05.23.542020
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Proteomic characterization of aging-driven changes in the mouse brain by co-expression network analysis
Kazuya Tsumagari, Yoshiaki Sato, Hirofumi Aoyagi, Hideyuki Okano, Junro Kuromitsu
bioRxiv 2023.05.23.542020; doi: https://doi.org/10.1101/2023.05.23.542020

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