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Understanding_the_multicellular_dynamics_of_clear_cell_renal_cell_carcinoma___single_cell_RNA_sequencing

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

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 Illumina HiSeq 4000 Illumina NovaSeq 6000 18
EGAD00001011647 Illumina NovaSeq 6000 1
Publications Citations
Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer.
Cancer Cell 40: 2022 1583-1599.e10
26
De novo detection of somatic mutations in high-throughput single-cell profiling data sets.
Nat Biotechnol 42: 2024 758-767
9
Targetable NOTCH1 rearrangements in reninoma.
Nat Commun 14: 2023 5826
0