ArticleAging2018
Global quantitative TPA-based proteomics of mouse brain structures reveals significant alterations in expression of proteins involved in neuronal plasticity during aging.
Article in Aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 21 citations in OpenAlex.
- A machine learning approach to identify key epigenetic transcripts for ageing research in human blood (Epitage).Biogerontology · 2026Article
- Machine learning-based gait classification and genome-wide association identify a QTL for gait type in Colombian paso horses.iScience · 2026Article
- Proteomic Profiling of Primary Hippocampal Neurons Reveals Noncanonical GFAP Expression and Metabolic Adaptations in Glia-Free Culture.Proteomics · 2026Article
- Chronic sleep restriction activates complement and coagulation cascades: a molecular link to accelerated brain aging.Npj biological timing and sleep · 2026Article
- Chronic sleep curtailment expediates brain aging by activating the complement and coagulation cascades in mice.bioRxiv : the preprint server for biology · 2025Article
- Numerous Trigger-like Interactions of Kinases/Protein Phosphatases in Human Skeletal Muscles Can Underlie Transient Processes in Activation of Signaling Pathways during Exercise.International journal of molecular sciences · 2023Review
- CNS Ageing in Health and Neurodegenerative Disorders.Journal of clinical medicine · 2023Review
- Integrated view and comparative analysis of baseline protein expression in mouse and rat tissues.PLoS computational biology · 2022Article
- Macroautophagy and normal aging of the nervous system: Lessons from animal models.Cell stress · 2021Review
- Article
- Absolute Proteome Analysis of Hippocampus, Cortex and Cerebellum in Aged and Young Mice Reveals Changes in Energy Metabolism.International journal of molecular sciences · 2021Article
- A Standardized Brain Molecular Atlas: A Resource for Systems Modeling and Simulation.Frontiers in molecular neuroscience · 2021Article
- DCAF1 regulates Treg senescence via the ROS axis during immunological aging.The Journal of clinical investigation · 2020Article
- CircGRIA1 shows an age-related increase in male macaque brain and regulates synaptic plasticity and synaptogenesis.Nature communications · 2020Article
- Physical Activity Dynamically Regulates the Hippocampal Proteome along the Dorso-Ventral Axis.International journal of molecular sciences · 2020Article
- Proteomic Profile of Mouse Brain Aging Contributions to Mitochondrial Dysfunction, DNA Oxidative Damage, Loss of Neurotrophic Factor, and Synaptic and Ribosomal Proteins.Oxidative medicine and cellular longevity · 2020Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aging is believed to be the result of alterations of protein expression and accumulation of changes in biomolecules. Although there are numerous reports demonstrating changes in protein expression in brain during aging, only few of them describe global changes at the protein level. Here, we present the deepest quantitative proteomic analysis of three brain regions, hippocampus, cortex and cerebellum, in mice aged 1 or 12 months, using the total protein approach technique. In all the brain regions, both in young and middle-aged animals, we quantitatively measured over 5,200 proteins. We found that although the total protein expression in middle-aged brain structures is practically unaffected by aging, there are significant differences between young and middle-aged mice in the expression of some receptors and signaling cascade proteins proven to be significant for learning and memory formation. Our analysis demonstrates that the hippocampus is the most variable structure during natural aging and that the first symptoms of weakening of neuronal plasticity may be observed on protein level in middle-aged animals.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.