Single-cell multi-cohort dissection of the schizophrenia transcriptome

Area of Science:

• Neuroscience
• Genetics
• Molecular Biology

Background:

• Schizophrenia's complexity and heterogeneity impede understanding its mechanisms and developing effective treatments.
• Previous research has identified genetic risk factors but their cellular and molecular impact remains unclear.

Purpose of the Study:

• To perform single-cell dissection of transcriptomic changes associated with schizophrenia in the human prefrontal cortex.
• To link genetic risk factors to specific cellular alterations in schizophrenia.
• To identify distinct patient populations based on neuronal gene expression profiles.

Main Methods:

• Single-cell RNA sequencing was performed on prefrontal cortex samples from 140 individuals across two independent cohorts.
• Transcriptomic data analysis focused on identifying cell-type-specific alterations.
• Integration of genetic risk factor data with transcriptomic findings.

Main Results:

• Excitatory neurons exhibited the most significant transcriptomic changes, primarily affecting neurodevelopment and synapse-related pathways.
• Identified convergence of common and rare genetic variants on neuronal population-specific alterations.
• Discovered two distinct schizophrenia patient populations characterized by specific excitatory and inhibitory neuronal cell states.

Conclusions:

• This single-cell atlas provides a mechanistic link between genetic risk factors and cellular pathophysiology in schizophrenia.
• Findings offer insights into the heterogeneity of schizophrenia by identifying distinct neuronal expression profiles.
• The study facilitates a deeper understanding of schizophrenia's underlying mechanisms and heterogeneity.