Genomics

Dataset Information

0

Upper cortical layer-driven network impairment in schizophrenia


ABSTRACT: Schizophrenia is one of the most wide-spread and complex mental disorders. To characterize the impact of schizophrenia, we performed single nucleus RNA sequencing (snRNA-seq) of >220,000 neurons from the dorsolateral prefrontal cortex of patients with schizophrenia and matched controls. Additionally, >115,000 neurons were analyzed topographically by immunohistochemistry. Compositional analysis of snRNA-seq data revealed a reduction in abundance of GABAergic neurons and a concomitant increase in principal neurons, most pronounced for upper cortical layer subtypes, which was substantiated by histological analysis. Many neuronal subtypes showed extensive transcriptomic changes, the most dramatic - in upper layer GABAergic neurons, including downregulation in energy metabolism and upregulation in neurotransmission. Transcription factor network analysis demonstrated a developmental origin of transcriptomic changes. Finally, Visium spatial transcriptomics further corroborated upper layer neuron vulnerability in schizophrenia. Overall, our results point towards general network impairment within upper cortical layers as a core substrate associated with schizophrenia symptomatology. Study is available on bioRxiv (https://doi.org/10.1101/2020.11.17.386458) and in upcoming publication.

PROVIDER: EGAS00001006495 | EGA |

REPOSITORIES: EGA

Similar Datasets

2022-12-18 | GSE142601 | GEO
2021-05-25 | MSV000087514 | MassIVE
2021-06-29 | GSE179070 | GEO
2012-05-14 | E-GEOD-37981 | biostudies-arrayexpress
2016-01-08 | E-GEOD-69790 | biostudies-arrayexpress
2019-02-28 | GSE124174 | GEO
2024-01-10 | GSE172489 | GEO
2023-04-24 | GSE213798 | GEO
2022-10-19 | GSE215356 | GEO
2014-07-06 | E-GEOD-56451 | biostudies-arrayexpress