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Using spatial and single-cell multiomics, Nikopoulou et al analyze how different cells within the mouse liver age, revealing zonation-specific aging trajectories and highlighting the importance of the local tissue microenvironment.
Change in intercellular communication is an important but poorly characterized hallmark of aging. Here the authors provide a bioinformatics tool to infer changes in cell–cell signaling and an atlas of age-related communication changes in 23 mouse tissues.
Li et al. provide a transcriptional and epigenetic characterization of microglia in aging mice brain by developing a three-round depletion–repopulation (3xDR) model to study aged microglia in non-aged brain, giving insights into the molecular mechanism underlying microglia aging.
This study identifies and characterizes evolutionarily conserved cytosine methylation patterns related to age across mammals and establishes pan-mammalian epigenetic clocks.
Microglia, the innate immune cells of the brain, exhibit diverse functions and can influence Alzheimer’s disease progression. This study explores human microglial diversity in Alzheimer’s disease, uncovering unique disease-associated microglial populations and predicting underlying gene regulatory networks.
Single-cell transcriptomic profiling of young and old mouse brains following heterochronic parabiosis shows regulation of several canonical hallmarks of aging by a shift in age-induced changes of the transcriptome in a cell-type-specific manner.
By applying quantitative chemical cross-linking technologies, the authors show that changes in the mitochondrial interactome of the skeletal muscle contribute to mitochondrial functional decline in female mice.
Zhao et al. find evolutionarily conserved astrocyte and microglia subpopulations shared across multiple brain regions and reveal similarities and differences between AD and PD glia and regional variance linked to AD pathology and neurodegeneration.