Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia

利用脑细胞类型特异性蛋白质相互作用组来解读精神分裂症中的神经发育遗传信号

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作者:Yu-Han H Hsu ,Greta Pintacuda ,Ruize Liu ,Eugeniu Nacu ,April Kim ,Kalliopi Tsafou ,Natalie Petrossian ,William Crotty ,Jung Min Suh ,Jackson Riseman ,Jacqueline M Martin ,Julia C Biagini ,Daya Mena ,Joshua K T Ching ,Edyta Malolepsza ,Taibo Li ,Tarjinder Singh ,Tian Ge ,Shawn B Egri ,Benjamin Tanenbaum ,Caroline R Stanclift ,Annie M Apffel ,Monica Schenone ,Jake Jaffe ,Nadine Fornelos ,Hailiang Huang ,Kevin C Eggan ,Kasper Lage

Abstract

Genetics have nominated many schizophrenia risk genes and identified convergent signals between schizophrenia and neurodevelopmental disorders. However, functional interpretation of the nominated genes in the relevant brain cell types is often lacking. We executed interaction proteomics for six schizophrenia risk genes that have also been implicated in neurodevelopment in human induced cortical neurons. The resulting protein network is enriched for common variant risk of schizophrenia in Europeans and East Asians, is down-regulated in layer 5/6 cortical neurons of individuals affected by schizophrenia, and can complement fine-mapping and eQTL data to prioritize additional genes in GWAS loci. A sub-network centered on HCN1 is enriched for common variant risk and contains proteins (HCN4 and AKAP11) enriched for rare protein-truncating mutations in individuals with schizophrenia and bipolar disorder. Our findings showcase brain cell-type-specific interactomes as an organizing framework to facilitate interpretation of genetic and transcriptomic data in schizophrenia and its related disorders. Keywords: Cellular neuroscience; Developmental neuroscience; Molecular interaction; Proteomics.

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