Transcriptional Architecture of Synaptic Communication Delineates Cortical GABAergic Neuron Identity
作者： Anirban Paul , Megan Crow , Ricardo Raudales , Jesse Gillis , Z. Josh Huang
DOI: 10.1101/180034
关键词:
摘要: Understanding the organizational logic of neural circuits requires deciphering biological basis neuron type diversity and identity, but there is no consensus on defining a type. We analyzed single cell transcriptomes anatomically physiologically characterized cortical ground truth populations conducted computational genomic screen for transcription profiles that distinguish them. discovered cardinal GABAergic types are delineated by transcriptional architecture encodes their synaptic communication patterns. This comprises 6 categories ~40 gene families including adhesion molecules, transmitter-modulator receptors, ion channels, signaling proteins, neuropeptides vesicular release components, factors. Combinatorial expression select members across shapes multi-layered molecular scaffold along membrane may customize connectivity patterns input-output properties. genetic framework neuronal identity integrates phenotypes multiple axes provides foundation discovering classifying types.
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