bioRxivDevelopmental BiologyPreprint
PRDM proteins control Wnt/β-catenin activity to regulate craniofacial chondrocyte differentiation
Lomeli Carpio ShulliD, Hyun Min KimiD, Ezra S. LenceriD, Susumu GoyamaiD, Mineo KurokawaiD, James C. CostelloiD, Kenneth L. JonesiD, Kristin ArtingeriD
Abstract
Cranial neural crest (NCC)-derived chondrocyte precursors undergo a dynamic differentiation and maturation process to establish a scaffold for subsequent bone formation, alterations in which contribute to congenital birth defects. Here, we demonstrate that transcription factor and histone methyltransferase proteins Prdm3 and Prdm16 control the differentiation switch of cranial NCCs to craniofacial cartilage. Loss of either results in hypoplastic and unorganized chondrocytes due to impaired cellular orientation and polarity. We show that PRDMs regulate cartilage differentiation by controlling the timing of Wnt/{beta}-catenin activity in strikingly different ways: prdm3 represses while prdm16 activates global gene expression, though both by regulating Wnt enhanceosome activity and chromatin accessibility. Finally, we show that manipulating Wnt/{beta}-catenin signaling pharmacologically or generating prdm3-/-;prdm16-/- double mutants rescues craniofacial cartilage defects. Our findings reveal upstream regulatory roles for Prdm3 and Prdm16 in cranial NCCs to control Wnt/{beta}-catenin transcriptional activity during chondrocyte differentiation to ensure proper development of the craniofacial skeleton. HighlightsO_LIPrdm3 and Prdm16 are required for chondrocyte organization in vertebrate craniofacial cartilage C_LIO_LILoss of Prdm3 and Prdm16 alters expression of Wnt/{beta}-catenin signaling components C_LIO_LIPrdm3 and Prdm16 oppositely control global chromatin accessibility C_LIO_LIPrdm3 and Prdm16 cartilage defects can be rescued pharmacologically or genetically C_LI
- organism: mouse
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
- Citations
- 0
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