Single-Cell RNA Sequencing in Multiple Pathologic Types of Renal Cell Carcinoma Revealed Novel Potential Tumor-Specific Markers

We provide a comprehensive, single-cell resolution, multiple pathologic transcriptome map of renal cell carcinoma (RCC).A total of 4 tumor samples and 1 normal kidney sample from four patients with renal cell carcinoma participated in this study.We present 30,263 cells (pRCC=10,132, ccRCC=12,915,chRCC=7,216,normal=585) after strictly quality control.scRNA-seq analysis revealed tumor heterogeneity at the single-cell level between different pathological types or between different cell types of the same pathological type. Meanwhile, we discovered a number of novel tumor markers of RCC which will offer potential value in diagnosing this disease. In addition, we identified some new cell types by scRNA-seq, such as proliferative TAM, proliferative fibroblast and novel endothelial cells. The comparative analysis between normal kidney and RCC had enhanced our understanding of tumor-immune microenvironment. Taken together, our data has greatly enriched the single-cell transcriptomic information for RCC, which will provide new insights into the diagnosis and treatment of RCC. Five samples (2 clear cell renal cell carcinoma samples,1 papillary renal cell carcinoma sample,1 chromophobe renal cell carcinoma sample and 1 normal kidney sample) from 4 patients were used for single cell RNA sequencing by 10X Genomics.