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KAT3 Shuttling Between Neuronal Identity and Activity-Dependent Plasticity Programs Drives Large-Scale Chromatin Remodeling

Activity-dependent transcription is a central feature of neuronal plasticity. Here, we show that neuronal activation triggers genome-wide redistribution of CBP and p300 in hippocampal neurons. Upon stimulation, KAT3 cofactors relocate from super-enhancers supporting neuronal identity to enhancers associated with activity-regulated genes, accompanied by transient changes in H3K27ac, chromatin…

Activity-dependent transcription plays a crucial role in neuronal plasticity, according to a recent study. The researchers discovered that neuronal activation leads to a widespread movement of the CBP and p300 proteins within hippocampal neurons. Upon stimulation, the KAT3 cofactors switch from super-enhancers that support neuronal identity to enhancers that are linked to genes regulated by activity.

This relocation is associated with temporary alterations in H3K27ac, chromatin accessibility, and the three-dimensional organization of the genome. The study reveals that different transcription factor families are responsible for controlling the transfer of KAT3. Proneural bHLH factors, such as NeuroD2, help maintain the cofactor's presence at identity-associated regulatory elements, while AP-1 binds to new sites at plasticity-associated locations.

This dynamic shift in KAT3 distribution alters enhancer landscapes and chromatin interactions, allowing for the efficient activation of plasticity genes while temporarily suppressing neuronal identity programs. Interestingly, the researchers found that increasing levels of FOS can replicate the repression of neuronal identity genes that occurs during stimulation.

Overall, the findings of this study demonstrate a reversible competition between transcriptional networks that regulate neuronal identity and plasticity, and identify KAT3 redistribution as a critical mechanism that links neuronal activity to extensive chromatin remodeling.

Written by urgent.news from bioRxiv's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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