Study
Understanding the multicellular dynamics of clear cell renal cell carcinoma single cell RNA sequencing
| Study ID | Alternative Stable ID | Type |
|---|---|---|
| EGAS00001003519 | Transcriptome Analysis |
Study Description
This study will reconstruct the single cellular phylogeny of tumour and immune cells in relation to both genomic, functional, and spatial location. 20 tumours in total will be studied, including non-progressing small renal masses, progressing small renal masses, relatively indolent larger tumours, and high risk tumour with metastatic sampling. We aim to:
Generate a focused, comprehensive phylogenetic characterisation of tumour cells
Understand the dependencies of the cancer genome, transcriptome, tissue architecture and the single cellular micro-environment
Quantify the single cellular composition and functional intra- and inter- tumoural heterogeneity
Determine the phylogeny of tumour associated lymphocytes and their relationship to neo-epitopes and the immune microenvironment
Investigate the mechanisms by which the tumour-normal interface constrains tumoural growth
Study Datasets 1 dataset.
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
| Dataset ID | Description | Technology | Samples |
|---|---|---|---|
| EGAD00001008030 |
The dataset comprises of 5' single cell RNA sequencing with TCR enrichment with 10x Genomics' Chromium technology of multiregional biopsies of human renal cell carcinomas. Biopsies from different tumour regions, the tumour-normal interface, normal kidney, normal adrenal, metastatic regions, peri-nephric fat, and peripheral blood were sequenced from 12 patients with kidney tumours.
|
Illumina HiSeq 4000,Illumina NovaSeq 6000 | 153 |
Who archives the data?
