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Single_cell_RNA_sequencing_of_rhabdomyosarcoma_tumour_tissue

The aim of this study is to investigate the genomic landscape of human cancer.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

3 Datasets 3 Publications

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
EGAD00001007572	This data set contains single cell transcriptomes generated using the chromium 10X platform from both fresh cells and nuclei. The samples measured are derived from children with Wilms tumour, Clear Cell Sarcoma of the Kidney (CCSK), or Malignant Rhabdoid Tumours.	Illumina HiSeq 4000 Illumina NovaSeq 6000	1
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	1
EGAD00001015713	The aim of this study is to investigate the genomic landscape of human cancer. . This dataset contains all the data available for this study on 2025-09-30.	Illumina HiSeq 2500 Illumina HiSeq 4000 Illumina NovaSeq 6000	1

Publications	Citations
Single cell derived mRNA signals across human kidney tumors. Young MD, Mitchell TJ, Custers L, Margaritis T, Morales-Rodriguez F, Kwakwa K, Khabirova E, Kildisiute G, Oliver TRW, de Krijger RR, van den Heuvel-Eibrink MM, Comitani F, Piapi A, Bugallo-Blanco E, Thevanesan C, Burke C, Prigmore E, Ambridge K, Roberts K, Braga FAV, Coorens THH, Del Valle I, Wilbrey-Clark A, Mamanova L, Stewart GD, Gnanapragasam VJ, Rampling D, Sebire N, Coleman N, Hook L, Warren A, Haniffa M, Kool M, Pfister SM, Achermann JC, He X, Barker RA, Shlien A, Bayraktar OA, Teichmann SA, Holstege FC, Meyer KB, Drost J, Straathof K, Behjati S. Nat Commun 12: 2021 3896	41
Precise identification of cancer cells from allelic imbalances in single cell transcriptomes. Trinh MK, Pacyna CN, Kildisiute G, Thevanesan C, Piapi A, Ambridge K, Anderson ND, Khabirova E, Prigmore E, Straathof K, Behjati S, Young MD. Commun Biol 5: 2022 884	11
Data standards for single-cell RNA-sequencing of paediatric cancer. Xu X, Saxon J, Soon MSF, Lee CY, Tuong ZK. Clin Transl Immunology 14: 2025 e70033	0