Brain aging is a major risk for neurodegeneration, yet the underlying molecular mechanisms remain poorly understood. Here we performed an integrative proteo-transcriptomic analysis of the aging mouse brain, uncovering molecular signatures of aging through the assessment of protein aggregation, mRNA relocalization, and comparative proteomics across eight models of premature aging and neurodegeneration. We identified dynamic changes in physiological aging highlighting differences in synaptic maintenance and energy-allocation. These were linked to changes associated with fundamental protein biochemical properties such as size and net charge. Network analysis highlighted a decrease in mitochondrial complex I proteins not compensated at the mRNA level. Aggregation of 60S ribosome subunits indicated deteriorating translation efficiency and was accompanied by mitochondrial and proteasomal imbalance. The analysis of the nine models revealed key similarities and differences between physiological aging and pathology. Overall, our study provides an extensive resource on molecular aging, and offers insights into mechanisms predisposing to neurodegeneration, easily accessible at our Brain Aging and Molecular Atlas Project (BrainAging-MAP) website.
Proteo-transcriptomic reprogramming and resource reallocation define the aging mammalian brain.
蛋白质-转录组重编程和资源重新分配定义了衰老哺乳动物的大脑
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作者:Hemandhar-Kumar Nisha, Kluever Verena, Kaufmann Svenja V, Bergmann Cornelius, Mousaei Kanaan, Tomas Miguel, Marrero Miguel Correa, Chopra Avika, Hirose Misa, Pallas Mercè, Sanfeliu Coral, Ibrahim Saleh M, Fischer Andre, Outeiro Tiago F, Urlaub Henning, Tchumatchenko Tatjana, OtÃn Carlos López, Fornasiero Eugenio F
| 期刊: | bioRxiv | 影响因子: | 0.000 |
| 时间: | 2025 | 起止号: | 2025 Aug 19 |
| doi: | 10.1101/2025.08.14.669896 | 研究方向: | 免疫/内分泌 |
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