Inhibitory input directs astrocyte morphogenesis through glial GABABR

Yi-Ting Cheng, Estefania Luna-Figueroa, Junsung Woo, Hsiao-Chi Chen, Zhung-Fu Lee, Akdes Serin Harmanci and Benjamin Deneen ()
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Yi-Ting Cheng: Baylor College of Medicine
Estefania Luna-Figueroa: Baylor College of Medicine
Junsung Woo: Baylor College of Medicine
Hsiao-Chi Chen: Baylor College of Medicine
Zhung-Fu Lee: Baylor College of Medicine
Akdes Serin Harmanci: Baylor College of Medicine
Benjamin Deneen: Baylor College of Medicine

Nature, 2023, vol. 617, issue 7960, 369-376

Abstract: Abstract Communication between neurons and glia has an important role in establishing and maintaining higher-order brain function1. Astrocytes are endowed with complex morphologies, placing their peripheral processes in close proximity to neuronal synapses and directly contributing to their regulation of brain circuits2–4. Recent studies have shown that excitatory neuronal activity promotes oligodendrocyte differentiation5–7; whether inhibitory neurotransmission regulates astrocyte morphogenesis during development is unclear. Here we show that inhibitory neuron activity is necessary and sufficient for astrocyte morphogenesis. We found that input from inhibitory neurons functions through astrocytic GABAB receptor (GABABR) and that its deletion in astrocytes results in a loss of morphological complexity across a host of brain regions and disruption of circuit function. Expression of GABABR in developing astrocytes is regulated in a region-specific manner by SOX9 or NFIA and deletion of these transcription factors results in region-specific defects in astrocyte morphogenesis, which is conferred by interactions with transcription factors exhibiting region-restricted patterns of expression. Together, our studies identify input from inhibitory neurons and astrocytic GABABR as universal regulators of morphogenesis, while further revealing a combinatorial code of region-specific transcriptional dependencies for astrocyte development that is intertwined with activity-dependent processes.

Date: 2023
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DOI: 10.1038/s41586-023-06010-x

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