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Histone variant H2BE controls activity-dependent gene expression and homeostatic scaling [CUT&Tag]

GSE280191 Mus musculus Genome binding/occupancy profiling by high throughput sequencing 9 samples Submitted 2025/10/01 Platform GPL32159
Summary
A cell’s ability to respond and adapt to environmental stimuli relies in part on transcriptional programs controlled by histone proteins. Histones affect transcription through numerous mechanisms including through replacement with variant forms that carry out specific functions. We recently identified the first widely expressed H2B histone variant, H2BE and found that it promotes transcription and is critical for neuronal function and long-term memory. However, how H2BE is regulated by extracellular stimuli and whether it controls activity-dependent transcription and cellular plasticity remain unknown. We used CUT&Tag and RNA-sequencing of primary neurons, single-nucleus sequencing of cortical tissue, and multielectrode array recordings to interrogate the expression of H2BE in response to stimuli and the role of H2BE in activity-dependent gene expression and plasticity. We find that unlike Further, we show that neurons lacking H2BE are unable to mount proper long-term activity-dependent transcriptional responses both in cultured neurons and in animal models. Lastly, we demonstrate that H2BE knockout neurons fail to undergo the electrophysiological changes associated with homeostatic plasticity in neurons after long-term stimulation. In summary, these data demonstrate that H2BE expression is inversely correlated to activity and necessary for long-term activity-dependent responses, revealing the first instance of a histone variant involved in the homeostatic plasticity response in neurons.
Published in
Histone variant H2BE controls activity-dependent gene expression and homeostatic scaling
Feierman ER, Paranjapye A, Sangree AK et al. · Cell reports 2026 · PMID 41422507 · doi:10.1016/j.celrep.2025.116694
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Also filed as BioProject PRJNA1176975 and SRA study SRP540485. Searching any of these in the dataset finder brings you back here.

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