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| Status |
Public on Aug 18, 2022 |
| Title |
A transcriptional metastatic signature predicts survival in clear cell renal cell carcinoma |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
Novel single cell technologies have paved the way for the characterization and improved biological understanding of clear cell renal cell carcinoma (ccRCC) where the focus has been mostly on the immunological compartments of the tumor microenvironment (TME). However, the identification of metastatic tumor cell clones, and the stromal compartments of TME of untreated ccRCC patients still remains to be elucidated. Here we perform single-cell RNA-sequencing on treatment naive ccRCC and adjacent normal kidney tissue.
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| Overall design |
Human kideny tissue were disaggregated and profiled using the Chromium Single Cell 3’ Library and Gel Bead Kit v2 (10X Genomics) .
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| Web link |
https://pubmed.ncbi.nlm.nih.gov/36180422/
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| |
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| Contributor(s) |
Mei S |
| Citation(s) |
36180422, 38281962 |
| |
| Submission date |
Jun 18, 2021 |
| Last update date |
Feb 14, 2024 |
| Contact name |
Shenglin Mei |
| E-mail(s) |
samleomei@gmail.com
|
| Organization name |
Harvard medical school (DMBI)
|
| Street address |
10 Shattuck Street
|
| City |
Boston |
| State/province |
MA |
| ZIP/Postal code |
02115 |
| Country |
USA |
| |
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| Platforms (1) |
| GPL18573 |
Illumina NextSeq 500 (Homo sapiens) |
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| Samples (26)
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| Relations |
| BioProject |
PRJNA739195 |
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