Proteomics

Dataset Information

0

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


ABSTRACT: Hsu Y, Nacu E, Liu R, Kim A, Tsafou K, Petrossian N, Crotty W, Suh JM, Pintacuda G, Riseman J, Martin J, Malolepsza E, Li T, Singh T, Ge T, Egri SB, Tanenbaum B, Stanclift CR, Apffel AM, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Stanley Global Asia Initiatives, Carr SA, Schenone M, Jaffe J, Fornelos N, Huang H, Eggan KC, Lage K. 2021. Genetics have nominated many schizophrenia risk genes that lack functional interpretation. To empower such interpretation, we executed interaction proteomics for six risk genes in human induced neurons and found the resulting protein network to be enriched for common variant risk of schizophrenia in Europeans and East Asians. The network is down-regulated in layer 5/6 cortical neurons of patients 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 also contains proteins (HCN4 and AKAP11) enriched for rare protein-truncating mutations in patients with schizophrenia and bipolar disease. Our findings establish brain cell-type-specific interactomes as an organizing framework to facilitate interpretation of genetic and transcriptomic data in schizophrenia and psychiatric diseases.

INSTRUMENT(S): Q Exactive Plus

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Steven A. Carr  

PROVIDER: MSV000087514 | MassIVE | Tue May 25 20:00:00 BST 2021

REPOSITORIES: MassIVE

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2022-05-09 | MSV000089445 | MassIVE
2014-10-17 | E-GEOD-62391 | biostudies-arrayexpress
2014-10-17 | GSE62391 | GEO
2019-01-05 | GSE118941 | GEO
2024-10-01 | GSE276239 | GEO
| PRJNA601202 | ENA
2023-11-02 | GSE246551 | GEO
2012-07-08 | E-GEOD-38485 | biostudies-arrayexpress
2014-10-09 | E-GEOD-62105 | biostudies-arrayexpress
2023-01-17 | GSE178896 | GEO