Project description:This dataset profiles intra-tumor heterogeneity in renal cell carcinoma using single-cell gene expression analysis. Single-cell transcriptomic profiles were generated to characterize malignant and non-malignant cell populations and to enable comparative analyses between primary and metastatic disease states. Gene expression data were used to derive gene programs that capture transcriptional heterogeneity among renal cell carcinoma cells.
Project description:The aim of this study was to compare effect of everolimus on growth of different renal cell carcinoma (RCC) populations and develop design for experiments to measure the early response of everolimus in clear cell RCC (ccRCC) cell lines including renal cancer stem cells. Gene expression profiling using microarray was performed to determine the early response to everolimus after 3 days of treatment with optimizied concentration of drug in two ccRCC cell lines 1) parental clear cell renal cell carcinoma ccRCC-PCSC (HKPCSC -human parental kidney cancer stem cells) and 2) ccRCC-CSC - clear cell renal cell carcinoma -cancer stem cells (HKCSC - human kidney cancer stem cells).
Project description:We performed a microRNA (miRNA) microarray on 10 metastatic RCC tumors and compared differential miRNA expresison to 19 primary clear cell renal cell carcinomas (ccRCC). We found there were 65 significantly dysregulated miRNAs; 9 miRNAs were significantly upregulated and 56 miRNAs were significantly downregulated in metastatic RCC when compared to primary clear cell renal cell carcinoma. miRNA microarray was performed on 10 metastatic RCC tumors
