DevelopmentNeurosciencePeer-reviewed journal article
Transcriptional regulation of MGE progenitor proliferation by PRDM16 controls cortical GABAergic interneuron production
Miguel Turrero GarcίaiD, José‐Manuel BaizabaliD, Diana N. Tran, Rui T. PeixotoiD, Wengang WangiD, Yajun XieiD, Manal A. AdamiD, Lauren A. EnglishiD, Christopher M. ReidiD, Salvador Ignacio BritoiD, Matthew Aaron BookeriD, Michael Yevgeniy TolstorukoviD, Corey C. HarwelliD
Abstract
The mammalian cortex is populated by neurons derived from neural progenitors located throughout the embryonic telencephalon. Excitatory neurons are derived from progenitors located in the dorsal telencephalon, while inhibitory interneurons are generated by ventral telencephalic progenitors. The transcriptional regulator PRDM16 is expressed by radial glia, neural progenitors present in both regions; however, its mechanisms of action are still not fully understood. It is unclear if PRDM16 functions plays a role in neurogenesis in both dorsal and ventral progenitor lineages, and if so, whether it does so by regulating common or unique networks of genes. Here, we show that Prdm16 expression in MGE progenitors is required for maintaining their proliferative capacity and for the production of proper numbers of pallial GABAergic interneurons. PRDM16 binds to cis-regulatory elements and represses the expression of region-specific neuronal differentiation genes, thereby controlling the timing of neuronal maturation. Our results highlight the importance of PRDM16 for the development of both excitatory and inhibitory cortical circuits. We demonstrate the existence of convergent developmental gene expression programs regulated by PRDM16, which utilize both common and region-specific sets of genes in the cortex and the MGE to control the proliferative capacity of neural progenitors, ensuring the generation of correct numbers of cortical neurons.
- organism: mouse
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 10
- FWCI
- 0.39
- Field percentile
- 48th percentile
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