Study

Kidney tumour DNA

Study ID Alternative Stable ID Type
EGAS00001002486 Cancer Genomics

Study Description

This is a bulk DNA and RNA sequencing study of human renal tumours

Study Datasets 6 datasets.

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
EGAD00001004346
This is a bulk DNA and RNA sequencing study of human renal tumours . This dataset contains all the data available for this study on 2018-09-19.
HiSeq X Ten 37
EGAD00001004774
We investigated the somatic genetic basis of Wilms’ tumour and found complex phylogenetic relations between tumours.
HiSeq X Ten 203
EGAD00001005134
We investigated the somatic genetic basis of Wilms' tumour and found complex phylogenetic relations between tumours
HiSeq X Ten 57
EGAD00001006296
Like many childhood cancers, malignant rhabdoid tumours (MRT) are thought to arise from aberrant foetal development. Although MRT predominantly exhibit a mesenchymal phenotype, it has been suggested that the foetal root of MRT lies in neural crest development. Here, we combine phylogenetic analyses of MRT, single cell mRNA assays, and functional experiments in patient-derived MRT organoids, to define the embryological origin of MRT and explore therapeutic avenues that may drive MRT ... (Show More)
HiSeq X Ten,Illumina HiSeq 4000,Illumina NovaSeq 6000,NextSeq 500 30
EGAD00001006423
Leukaemia and related blood cancers occur due to genetic changes that typically accumulate over many years. This study will employ targeted next-generation sequencing to retrace the preclinical evolution of several types of haematological malignancy. Investigating the progression of the earliest pre-malignant ancestral clones promises to offer valuable insights into early leukaemia evolution and therapeutic vulnerabilities of leukaemia stem cells.
HiSeq X Ten,Illumina NovaSeq 6000 137
EGAD00001006641
During the course of a lifetime normal human cells accumulate mutations. Here, using multiple samples from the same individuals we compared the mutational landscape in 29 anatomical structures from soma and the germline. Two ubiquitous mutational signatures, SBS1 and SBS5/40, accounted for the majority of acquired mutations in most cell types but their absolute and relative contributions varied substantially. SBS18, potentially reflecting oxidative damage, and several additional signatures ... (Show More)
HiSeq X Ten,Illumina NovaSeq 6000 667

Who archives the data?

Publications

Citations

Retrieving...
Retrieving...
Retrieving...
Retrieving...
Retrieving...
Retrieving...