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Gertig, M.

Publications and source records attributed to Gertig, M..

2 recordsLinked to original sources

Loss of the lncRNA SOX1-OT promotes p53-dependent cell-cycle arrest in astrocytes

Long non-coding RNAs (lncRNAs) are increasingly recognized as regulators of brain cell function, but their roles in astrocyte biology and neurodegeneration remain poorly understood. Here, we identify Sox1ot/SOX1-OT as a conserved, brain-enriched lncRNA that is downregulated in Alzheimers disease and in reactive astrocyte states. Antisense oligonucleotide-mediated depletion of Sox1ot in astrocytes revealed a transcriptional program marked by activation of p53 target genes selectively associated with cell-cycle inhibitory pathways. Consistent with this, Sox1ot depletion enhanced p53 occupancy at target promoters such as Cdkn1a, increased Cdkn1a expression and levels of its protein product p21, and thereby induced G1 arrest and reduced astrocyte proliferation. In contrast, other canonical p53 outputs, including apoptosis and senescence, were not affected, indicating that Sox1ot selectively modulates distinct branches of p53 signaling. Notably, loss of Sox1ot/SOX1-OT was accompanied by impaired glutamate uptake, reduced lactate secretion, and altered astrocyte support functions, suggesting that these deficits arise as downstream consequences of the p53-dependent transcriptional shift rather than direct primary effects of Sox1ot loss. Together, these findings identify SOX1-OT as an astrocyte-enriched regulatory layer that constrains a p53-dependent cell-cycle program and highlight its role in shaping astrocyte state transitions in Alzheimers disease.

neuroscience↗

Multi-scale transcriptomic integration reveals cell-type immune networks and lncRNA remodeling in Alzheimers disease

Alzheimers disease (AD) displays pronounced regional heterogeneity, yet how transcriptional changes across brain regions converge into coordinated cellular and molecular programs remains unclear. Here, we integrated bulk and single-cell transcriptomics with network modeling to characterize gene expression remodeling across cortical and hippocampal subregions in APP/PS1-21 mice. We show that amyloid pathology follows distinct regional trajectories, with early cortical activation, delayed but robust remodeling in CA1, and a late-stage shift toward widespread transcriptional repression in the dentate gyrus. Despite these differences, cross-region analyses revealed a conserved immune activation core spanning cortical and hippocampal circuits. Network-level modeling further demonstrated that disease-associated transcriptional changes organize into immune-enriched modules that map onto specific cellular compartments, predominantly associated with microglia in cortex, astrocytes in CA1, and coordinated multi-lineage remodeling in the dentate gyrus. Notably, long noncoding RNAs were consistently embedded within disease-associated networks despite weak single-cell differential expression signals, suggesting their involvement in coordinated regulatory programs. Together, these findings link regional transcriptomic remodeling to cell-type-resolved network architecture and identify convergent immune-driven programs underlying amyloid-associated neurodegeneration.

neuroscience↗