SCAT_osteosarcoma_sequencing - EGA European Genome-Phenome Archive

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
EGAD00001000107	SCAT osteosarcoma sequencing	Illumina Genome Analyzer II Illumina HiSeq 2000	114
EGAD00001000280	This experiment is to validate putative somatic substitutions and indels identified in an exome screen of ~50 osteosarcoma tumour/normal pairs. It is the first stage in our ICGC commitment to study osteosarcoma. The validation process is an important component of our analysis to clarify the data prior to looking for evidence of new cancer genes, or subverted pathways important in the development of cancer. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/	Illumina HiSeq 2000	112
EGAD00001004201	Multiple signatures of somatic mutations have been identified in human cancer genomes. To investigate whether mutational signatures continue to be generated, and if so their temporal patterns of activity, subsets of cell lines were cultured in vitro for extended periods and subjected to single cell cloning and whole genome or exome sequencing or directly to single cell whole genome sequencing. As expected, signatures of past exogenous exposures, such as tobacco smoke and ultraviolet light, were not generated in vitro. In contrast, signatures of normal and defective DNA repair and replication continued to be generated at essentially constant mutation rates. Signatures of APOBEC cytidine deaminase DNA-editing activity exhibited a distinctive pattern with substantial fluctuations in mutation rate over time and episodic bursts of mutations. The initiating factors for these bursts are unclear although retrotransposon mobilisation may play a role. This cell line set now constitutes a comprehensive resource of live experimental models of mutational processes of both known and unknown aetiologies potentially retaining the patterns of activity and regulatory influences operative in human cells in vivo.	Illumina HiSeq 2000 Illumina HiSeq 2500	75

Publications	Citations
Recurrent mutation of IGF signalling genes and distinct patterns of genomic rearrangement in osteosarcoma. Behjati S, Tarpey PS, Haase K, Ye H, Young MD, Alexandrov LB, Farndon SJ, Collord G, Wedge DC, Martincorena I, Cooke SL, Davies H, Mifsud W, Lidgren M, Martin S, Latimer C, Maddison M, Butler AP, Teague JW, Pillay N, Shlien A, McDermott U, Futreal PA, Baumhoer D, Zaikova O, Bjerkehagen B, Myklebost O, Amary MF, Tirabosco R, Van Loo P, Stratton MR, Flanagan AM, Campbell PJ. Nat Commun 8: 2017 15936	139
Characterizing Mutational Signatures in Human Cancer Cell Lines Reveals Episodic APOBEC Mutagenesis. Petljak M, Alexandrov LB, Brammeld JS, Price S, Wedge DC, Grossmann S, Dawson KJ, Ju YS, Iorio F, Tubio JMC, Koh CC, Georgakopoulos-Soares I, Rodríguez-Martín B, Otlu B, O'Meara S, Butler AP, Menzies A, Bhosle SG, Raine K, Jones DR, Teague JW, Beal K, Latimer C, O'Neill L, Zamora J, Anderson E, Patel N, Maddison M, Ng BL, Graham J, Garnett MJ, McDermott U, Nik-Zainal S, Campbell PJ, Stratton MR. Cell 176: 2019 1282-1294.e20	281
MYC amplifications are common events in childhood osteosarcoma. De Noon S, Ijaz J, Coorens TH, Amary F, Ye H, Strobl A, Lyskjaer I, Flanagan AM, Behjati S. J Pathol Clin Res 7: 2021 425-431	14
Mapping clustered mutations in cancer reveals APOBEC3 mutagenesis of ecDNA. Bergstrom EN, Luebeck J, Petljak M, Khandekar A, Barnes M, Zhang T, Steele CD, Pillay N, Landi MT, Bafna V, Mischel PS, Harris RS, Alexandrov LB. Nature 602: 2022 510-517	85
Germline TP53 mutations undergo copy number gain years prior to tumor diagnosis. Light N, Layeghifard M, Attery A, Subasri V, Zatzman M, Anderson ND, Hatkar R, Blay S, Chen D, Novokmet A, Fuligni F, Tran J, de Borja R, Agarwal H, Waldman L, Abegglen LM, Albertson D, Finlay JL, Hansford JR, Behjati S, Villani A, Gerstung M, Alexandrov LB, Somers GR, Schiffman JD, Rotter V, Malkin D, Shlien A. Nat Commun 14: 2023 77	19
A semi-supervised weighted SPCA- and convolution KAN-based model for drug response prediction. Miao R, Zhong BJ, Mei XY, Dong X, Ou YD, Liang Y, Yu HY, Wang Y, Dong ZH. Front Genet 16: 2025 1532651	0