Results 261 to 270 of about 176,433 (328)

LPS‐Induced Mitochondrial Damage via SLC41A1‐Mediated Magnesium Ion Efflux Leads to the Pyroptosis of Dental Stem Cells

open access: yesAdvanced Science, EarlyView.
Lipopolysaccharide induces upregulation of the magnesium (Mg2+) efflux transporter solute carrier family 41 member 1 in dental stem cells, leading to a decrease in intracellular Mg2+ concentration and promoting the binding of oligomycin sensitivity‐conferring protein and cyclophilinD.
Yuan Liu   +11 more
wiley   +1 more source

Elevated Apolipoprotein E Expression in Hippocampal Microglia Drives Temporal Lobe Epilepsy Progression

open access: yesAdvanced Science, EarlyView.
In temporal lobe epilepsy, hippocampal APOE is markedly upregulated predominantly in microglia. APOE overexpression in microglia drives TLR4 and cGAS/STING‐dependent neuroinflammation, engages bidirectional crosstalk with neurons and astrocytes, increases neuronal excitability, and perturbs hippocampal lipid metabolism. These findings suggest that APOE‐
Jianwei Shi   +10 more
wiley   +1 more source

Identifying Tipping Points during Healthy Brain Aging through Single‐Nucleus Transcriptomic Analysis

open access: yesAdvanced Science, EarlyView.
This study applies single‐nucleus transcriptomics and systems dynamics to uncover nonlinear aging patterns in healthy human brains. By introducing dynamic network biomarker theory, the authors identify a critical tipping point at ages 56–60 during aging, and highlight glial instability as a key mediator.
Peiru Wu   +9 more
wiley   +1 more source

Results of the Ontology Alignment Evaluation Initiative 2018

open access: green, 2018
Mina Abd Nikooie Pour   +34 more
openalex   +1 more source

Human Brain Cell‐Type‐Specific Aging Clocks Based on Single‐Nuclei Transcriptomics

open access: yesAdvanced Science, EarlyView.
Muralidharan and colleagues develop cell‐type‐specific transcriptomic aging clocks using single‐nucleus RNA sequencing of human post mortem prefrontal cortex samples. These clocks accurately predict age and identify distinct aging trajectories in specific brain cell types.
Chandramouli Muralidharan   +12 more
wiley   +1 more source

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