Gene expression changes following chronic antipsychotic exposure in single cells from mouse striatum.
Anthony AbrantesPaola Giusti-RodriguezNaEshia AncaladeShadia SekleMarcus L BasiriGarret D StuberPatrick F SullivanRainbo HultmanPublished in: Molecular psychiatry (2022)
Schizophrenia is an idiopathic psychiatric disorder with a high degree of polygenicity. Evidence from genetics, single-cell transcriptomics, and pharmacological studies suggest an important, but untested, overlap between genes involved in the etiology of schizophrenia and the cellular mechanisms of action of antipsychotics. To directly compare genes with antipsychotic-induced differential expression to genes involved in schizophrenia, we applied single-cell RNA-sequencing to striatal samples from male C57BL/6 J mice chronically exposed to a typical antipsychotic (haloperidol), an atypical antipsychotic (olanzapine), or placebo. We identified differentially expressed genes in three cell populations identified from the single-cell RNA-sequencing (medium spiny neurons [MSNs], microglia, and astrocytes) and applied multiple analysis pipelines to contextualize these findings, including comparison to GWAS results for schizophrenia. In MSNs in particular, differential expression analysis showed that there was a larger share of differentially expressed genes (DEGs) from mice treated with olanzapine compared with haloperidol. DEGs were enriched in loci implicated by genetic studies of schizophrenia, and we highlighted nine genes with convergent evidence. Pathway analyses of gene expression in MSNs highlighted neuron/synapse development, alternative splicing, and mitochondrial function as particularly engaged by antipsychotics. In microglia, we identified pathways involved in microglial activation and inflammation as part of the antipsychotic response. In conclusion, single-cell RNA sequencing may provide important insights into antipsychotic mechanisms of action and links to findings from psychiatric genomic studies.
Keyphrases
- single cell
- bipolar disorder
- rna seq
- genome wide
- gene expression
- high throughput
- dna methylation
- genome wide identification
- inflammatory response
- bioinformatics analysis
- copy number
- mental health
- neuropathic pain
- case control
- oxidative stress
- randomized controlled trial
- spinal cord
- type diabetes
- parkinson disease
- clinical trial
- metabolic syndrome
- transcription factor
- spinal cord injury
- bone marrow
- high glucose
- skeletal muscle
- deep brain stimulation
- wild type
- endothelial cells
- study protocol