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| Status |
Public on Oct 04, 2021 |
| Title |
Single-Cell RNA Sequencing in Multiple Pathologic Types of Renal Cell Carcinoma Revealed Novel Potential Tumor-Specific Markers |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
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.
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| Overall design |
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.
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| Citation(s) |
34722263 |
| Submission date |
Jun 22, 2020 |
| Last update date |
Nov 04, 2021 |
| Contact name |
Zhenyuan Yu |
| E-mail(s) |
yuzhenyuan@126.com
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| Phone |
+8613617715617
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| Organization name |
Guangxi Medical University
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| Department |
Center for Genomic and Personalized Medicine
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| Street address |
Shuangyong road 22
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| City |
Nanning |
| State/province |
Guangxi |
| ZIP/Postal code |
530021 |
| Country |
China |
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| Platforms (1) |
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| Samples (5)
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| Relations |
| BioProject |
PRJNA641020 |
| SRA |
SRP268262 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE152938_RAW.tar |
367.0 Mb |
(http)(custom) |
TAR (of TAR) |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data provided as supplementary file |
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