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Profiling gene expression in the human dentate gyrus granule cell layer reveals insights into schizophrenia and its genetic risk

Authors :
Daniel R. Weinberger
Katsunori Tajinda
Joel E. Kleinman
Mitsuyuki Matsumoto
Thomas M. Hyde
Joy Ukaigwe
Matthew N. Tran
Takeshi Saito
Emily E. Burke
Kristen R. Maynard
Joo Heon Shin
Keri Martinowich
Amy Deep-Soboslay
Leonardo Collado-Torres
Daniel J. Hoeppner
Lou Blanpain
Andrew E. Jaffe
Ran Tao
Source :
Nature neuroscience. 23(4)
Publication Year :
2019

Abstract

Specific cell populations may have unique contributions to schizophrenia but may be missed in studies of homogenate tissue. Here laser capture microdissection followed by RNA sequencing (LCM-seq) was used to transcriptomically profile the granule cell layer of the dentate gyrus (DG-GCL) in human hippocampus and contrast these data to those obtained from bulk hippocampal homogenate. We identified widespread cell-type-enriched aging and genetic effects in the DG-GCL that were either absent or directionally discordant in bulk hippocampus data. Of the ~9 million expression quantitative trait loci identified in the DG-GCL, 15% were not detected in bulk hippocampus, including 15 schizophrenia risk variants. We created transcriptome-wide association study genetic weights from the DG-GCL, which identified many schizophrenia-associated genetic signals not found in transcriptome-wide association studies from bulk hippocampus, including GRM3 and CACNA1C. These results highlight the improved biological resolution provided by targeted sampling strategies like LCM and complement homogenate and single-nucleus approaches in human brain. Jaffe et al. profile the granule cell layer of the human hippocampus and find unique molecular associations for aging and genetic variation, as well as diagnosis with schizophrenia and its genetic risk, that were previously undiscovered in homogenate tissue.

Details

ISSN :
15461726
Volume :
23
Issue :
4
Database :
OpenAIRE
Journal :
Nature neuroscience
Accession number :
edsair.doi.dedup.....a3dbca37744524c8ffd58f5e28978e4d