Genetic Insights of Schizophrenia via Single Cell RNA-Sequencing Analyses.
Yong WuChu-Yi ZhangLu WangYi LiXiao XiaoPublished in: Schizophrenia bulletin (2023)
Through integrative analyses using expression data at single-cell levels, we identified 54 risk genes associated with schizophrenia. Notably, many of these genes were only identified using single-cell RNA-sequencing data, and their altered expression levels in particular types of cells, rather than in the bulk tissues, were related to the increased risk of schizophrenia. Our results provide novel insight into the biological mechanisms of schizophrenia, and future single-cell studies are necessary to further facilitate the understanding of the disorder.
Keyphrases
- single cell
- bipolar disorder
- rna seq
- high throughput
- poor prognosis
- electronic health record
- genome wide
- induced apoptosis
- gene expression
- binding protein
- big data
- long non coding rna
- cell cycle arrest
- dna methylation
- signaling pathway
- deep learning
- case control
- pi k akt
- artificial intelligence
- endoplasmic reticulum stress