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KMT2D controls cerebellar granule cell differentiation by temporally activating neuronal transcriptional factor genes [RNA-seq]

GSE282803 Mus musculus Expression profiling by high throughput sequencing 8 samples Submitted 2025/11/14 Platform GPL19057
Summary
Spatiotemporal gene expression is the fundamental feature for cellular differentiation, including neurogenesis. The epigenetic mechanism underlying spatiotemporal gene regulation during in vivo cellular differentiation remains largely unknown. The cerebellum contains ~80% of the total number of neurons in the human brain. Granule cells (GCs) constitute the vast majority of cerebellar neurons, and GC genesis is spatiotemporally regulated. Here, we show that Atoh1-Cre-mediated knockout (ACKO) of the Kmt2d gene encoding the lysine methyltransferase KMT2D (MLL4 and a COMPASS-like enzyme) in the cerebellar GC lineage in mice inhibits cerebellar GC differentiation while increasing cerebellar cell proliferation. Kmt2d ACKO impaired cerebellum-associated behaviors and caused facial peculiarity, microcephaly, and smaller body size (Kabuki syndrome-like characteristics) in mice. KMT2D temporally activates neuronal differentiation programs in cerebellar GC lineage. KMT2D-mediated activation of the key neuronal transcription factor genes En2, Pax6, and Myt1l is critical for GC differentiation. KMT2D positively programs super-enhancers/enhancers associated with these genes. Single cell RNA-seq analysis showed that Kmt2d ACKO inhibited the transition of GC progenitor to GCs while having a cell-non-autonomous impact on other cerebellar cells. These findings provide a unique epigenetic mechanism in which KMT2D temporally orchestrates gene expression required for cerebellar GC differentiation by programming neuronal enhancers.
Published in
KMT2D temporally activates neuronal transcriptional factor genes to mediate cerebellar granule cell differentiation
Dhar SS, Ko KP, Jang J et al. · Science advances 2025 · PMID 41004595 · doi:10.1126/sciadv.adu7174
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Also filed as BioProject PRJNA1190439 and SRA study SRP547523. Searching any of these in the dataset finder brings you back here.

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