Translational PsychiatryNeurosciencePeer-reviewed journal article
Single-nucleus transcriptomics reveal disrupted pathways in the prefrontal cortex of Scn2a-deficient mice
Ye-Eun Yoo, Zaiyang ZhangiD, Purba MandaliD, Zhengkuan TangiD, Jingliang ZhangiD, Xiaoling CheniD, Morgan J. RobinsoniD, Muriel EatoniD, Brody A. DemingiD, Manasi Suchit HalurkariD, Harish KothandaramaniD, Luke Child DabiniD, Boyu Jiang, Hongyu GaoiD, Chongli YuaniD, Nadia LanmaniD, Yunlong LiuiD, Jungsu KimiD, Priyanka BaloniiD, Yang YangiD
Abstract
Truncating variants in SCN2A, which encodes the NaV1.2 sodium channel critical for action potential initiation and propagation, are associated with autism spectrum disorder (ASD) and epilepsy. To investigate SCN2A deficiency-related phenotypes, we developed a preclinical mouse model with under 50% NaV1.2 expression, exhibiting neuronal hyperexcitability and social deficits. However, the neuronal populations and molecular alterations underlying these phenotypes at single-cell resolution have not been investigated. In this study, we conducted single-nucleus RNA sequencing (snRNA-seq) of wild-type (WT), homozygous Scn2a-deficient (HOM) mice, and HOM mice with Scn2a restoration (HOM-FlpO) to examine the effects of Scn2a level on gene expression in the medial prefrontal cortex (mPFC), a critical brain region related to ASD development. Differential expression analysis in GABAergic and glutamatergic neurons between genotypes revealed gene expression enriched in neurotransmitter activity regulation and synapse organization. Lastly, snRNA-seq results in HOM-FlpO identified genes that were rescued after Scn2a restoration. These results reveal that reduced Scn2a expression disrupts RNA transcriptomes in multiple neuronal subtypes, providing insight into cell type-specific mechanisms underlying SCN2A-related disorders.
- organism: mouse
- assay: snRNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell type annotation
- approach: statistical model
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- top 44%
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