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Thymic epithelia amplify noise in chromatin accessibility via p53 repression to impose immune tolerance [P53-WT-cKO_BulkRNA]

GSE301724 Mus musculus Expression profiling by high throughput sequencing 6 samples Submitted 2025/07/08 Platform GPL24247
Summary
Phenotypic plasticity of somatic cells is a principal feature of vertebrate adaptation as well as a hallmark of tumorigenesis. However, the determinants and mechanisms that regulate the stability of somatic cell identities remain unclear. Here, using the somatic plasticity of thymic epithelial cells – which facilitates the selection of a self-discriminating T cell repertoire – as a physiological model system, we show that stochastic fluctuations in background chromatin accessibility at nucleosome-dense regions are amplified by thymic epithelial cells to ectopically express thousands of genes highly restricted to other specialized cell types. We found broad regions of inaccessible chromatin flanking tissue-specific genes become ‘destabilized’ during thymic epithelial maturation independently of AIRE-induced transcription of these genes, but concurrently with the repression of the tumor suppressor p53. Augmenting p53 activity in thymic epithelial cells reduced noise in chromatin accessibility at nucleosome-dense regions, inhibited ectopic expression of tissue-specific genes and caused multi-organ autoimmunity. Furthermore, we found p53-regulated fluctuations in background chromatin accessibility in lung adenocarcinoma to be associated with high plasticity states that promote tumor progression. Taken together, our findings establish p53-dependent stabilization of nucleosomal barriers to cellular reprogramming as a fulcrum of cell fate integrity that underlies critical components of immune tolerance induction and oncogenic potential.
Published in
Thymic epithelial cells amplify epigenetic noise to promote immune tolerance
Gamble N, Caldwell JA, McKeever J et al. · Nature 2025 · PMID 40836089 · doi:10.1038/s41586-025-09424-x
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Also filed as BioProject PRJNA1287484 and SRA study SRP598814. Searching any of these in the dataset finder brings you back here.

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