Mapping the immune environment in clear cell renal carcinoma by single-cell genomics
Updated August 30, 2022In order to investigate heterogeneity and dynamics of cancer-associated immune cells, we performed single-cell sequencing on peripheral and tumor-infiltrating immune cells in three renal clear cell carcinoma patients. We chose renal clear cell carcinoma tumors based on the responsive of these tumors to immune checkpoint blockade in the context of low mutational loads, which implies a strong influence from the tumor microenvironment. Using the 10x Genomic 5 expression platform a total of 25,672 immune cells were isolated and passed filtering for quality control, with 13,433 cells from peripheral blood and 12,239 tumor-infiltrating cells. In addition, we used the Chromium Single Cell V(D)J kit to enrich for T cell receptor sequences for nearly 10,000 T cells in with accompanying expression information, allowing for the investigation of clonality and transcriptional phenotypic diversity. We generated a comprehensive immune profile using single-cell RNA-seq data from 25,000 immune cells from three renal cell carcinoma along with matched peripheral blood. In addition, we performed VDJ sequencing on the isolated single T cells. Overall design: T cell receptor sequences of the subset of T cells in the 5' RNA expression sequencing dataset.
To reference this project, please use the following link:
Downloaded and exported data is governed by the HCA Data Release Policy and licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). For more information please see our Data Use Agreement.
Atlas
Analysis Portals
NoneProject Label
ImmuneRenalCarcinomaSpecies
Homo sapiens
Sample Type
specimens
Anatomical Entity
Organ Part
Unspecified
Selected Cell Types
Disease Status (Specimen)
Unspecified
Disease Status (Donor)
renal cell carcinoma (disease)
Development Stage
human adult stage
Library Construction Method
Nucleic Acid Source
single cell
Paired End
trueFile Format
Cell Count Estimate
37.1kDonor Count
3