🧫 Experiment Protocol
ExploratoryAtherosclerosisC1QA, C1QC, SPI1human atherosclerotic plaque samplesproposed
Single-cell RNA sequencing analysis was performed on human atherosclerotic plaque samples to identify cell clusters and complement C1Q-related differentially expressed genes. The analysis identified 24 cell clusters and 12 cell types from the scRNA-seq dataset (GSE159677). Seven C1Q-associated differentially expressed genes were identified in both the scRNA-seq and bulk RNA-seq datasets. Machine learning algorithms including GBM, LASSO, and XGBoost were used to select C1QA and C1QC as hub genes from the seven DEGs. The study also identified SPI1 as a potential transcription factor regulating these hub genes in human atherosclerotic plaques.
PRIMARY OUTCOME
Identification of C1Q-related hub genes
EXPECTED OUTCOMES
Identification of C1Q-related genes associated with atherosclerotic plaques
SUCCESS CRITERIA
Satisfactory diagnostic accuracy in training and validation cohorts
PROTOCOL
scRNA-seq data analysis using GEO dataset GSE159677, machine learning algorithms (GBM, LASSO, XGBoost), ssGSEA pathway scoring, ROC analysis