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

Authors :
Hsu YH
Pintacuda G
Liu R
Nacu E
Kim A
Tsafou K
Petrossian N
Crotty W
Suh JM
Riseman J
Martin JM
Biagini JC
Mena D
Ching JKT
Malolepsza E
Li T
Singh T
Ge T
Egri SB
Tanenbaum B
Stanclift CR
Apffel AM
Carr SA
Schenone M
Jaffe J
Fornelos N
Huang H
Eggan KC
Lage K
Source :
IScience [iScience] 2023 Apr 18; Vol. 26 (5), pp. 106701. Date of Electronic Publication: 2023 Apr 18 (Print Publication: 2023).
Publication Year :
2023

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.<br />Competing Interests: K.C.E. is a co-founder of Q-State Biosciences, Quralis, and Enclear, and currently employed at BioMarin Pharmaceutical. Other authors declare no competing interests.<br /> (© 2023 The Authors.)

Details

Language :
English
ISSN :
2589-0042
Volume :
26
Issue :
5
Database :
MEDLINE
Journal :
IScience
Publication Type :
Academic Journal
Accession number :
37207277
Full Text :
https://doi.org/10.1016/j.isci.2023.106701