Single-Cell Transcriptomics Uncovers Cellular Heterogeneity, Mechanisms, and Therapeutic Targets for Parkinson's Disease.

ABSTRACT: Objective: This study aimed to exploit cellular heterogeneity for revealing mechanisms and identifying therapeutic targets for Parkinson's disease (PD) via single-cell transcriptomics. Methods: Single-cell RNA sequencing (scRNA-seq) data on midbrain specimens from PD and healthy individuals were obtained from the GSE157783 dataset. After quality control and preprocessing, the principal component analysis (PCA) was presented. Cells were clustered with the Seurat package. Cell clusters were labeled by matching marker genes and annotations of the brain in the CellMarker database. The ligand-receptor networks were established, and the core cell cluster was selected. Biological functions of differentially expressed genes in core cell clusters were analyzed. Upregulated mark

SUBMITTER: Huang J 

PROVIDER: S-EPMC9114673 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature