Study
Understanding the multicellular dynamics of clear cell renal cell carcinoma DNA sequencing
| Study ID | Alternative Stable ID | Type |
|---|---|---|
| EGAS00001003517 | Whole Genome Sequencing |
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 |
|---|---|---|---|
| EGAD00001008029 |
The dataset comprises whole exome sequences from laser capture micro-dissected biopsies of 10 patients diagnosed with clear cell renal cell carcinoma. In total over 100 regions are sampled to allow 'focally exhaustive' sequencing and explore the limits of intra-tumoural heterogeneity.
|
Illumina HiSeq 4000 | 117 |
Who archives the data?
