Study

Orphan Tumour Study familial neuroblastoma

Study ID Alternative Stable ID Type
EGAS00001002171 Other

Study Description

The aim of this study is to study the genomes of ultra rare childhood tumours

Study Datasets 7 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
EGAD00001003884
The genetic basis of many rare childhood cancers remains unknown. These include a spectrum of infant soft tissue tumors without canonical gene fusions, encompassing congenital mesoblastic nephroma (CMN) of the kidney and infantile fibrosarcoma (IFS). Here, we integrated whole genome and transcriptome sequencing and identified diagnostic markers and novel therapeutic strategies.
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
EGAD00001005770
The aim of this study is to reconstruct the phylogenetic development of childhood tumours
HiSeq X Ten 8
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
EGAD00001007853
We have performed single cell RNA-sequencing for infant and childhood B-cell acute lymphoblastic leukemias as well as infant acute myeloid leukemias at diagnosis. The sequencing was performed with 10X Chromium single cell 3’ and 5’ chemistry.
HiSeq X Ten 3
EGAD00001008345
Using the chromium 3' expression assay, we generated an atlas of neuroblastoma and the human fetal adrenal gland. These data were complemented with whole genome sequencing of normal and tumour DNA from the neuroblastoma samples.
Illumina HiSeq 2500,Illumina HiSeq 4000,Illumina MiSeq,Illumina NovaSeq 6000 32
EGAD00001009005
Single cell transcriptomes, generated using chromium 10X 3' sequencing, for two tumour types (AT/RT, and Ewing's sarcoma). For each individual, tumour and normal whole genome sequencing was also obtained using Illumina short read sequencing to an average depth of 30X. These data were used to validate the accuracy of a method for identifying cancer cell transcriptomes based on the allelic shift produced by copy number changes.
HiSeq X Ten,Illumina HiSeq 2500,Illumina HiSeq 4000,Illumina NovaSeq 6000 15

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