br d METHODS DETAILS br B Cell culture
d METHODS DETAILS
B Cell culture and isolation of single FLAG tag Peptide B DNA extraction and amplification
B Library preparation, sequencing and alignment B Genotyping of cell line samples
B Mutation discovery
B Mutational catalogs from stock cell lines and cell line clones
B Clonality of the cell line clones
B Mutational catalogs from single cells B Mutational catalogs from PDX models B Base substitution and indel classification B Kataegis quantification
B Sequence context quantification and enrichment analysis
B Doubling time measurements B Pathogen detection
B Identification of L1 mobile element insertions acquired in vitro
B RNA sequencing and analysis
B 1,001 cell line panel expression and methylation datasets
d QUANTIFICATION AND STATISTICAL ANALYSIS B Mutational Signatures Analysis
B Relationships between somatic retrotransposition and APOBEC-associated SBS2 and SBS13
d DATA AND SOFTWARE AVAILABILITY
SUPPLEMENTAL INFORMATION
Supplemental Information can be found with this article online at https://doi.
ACKNOWLEDGMENTS
This work was supported by Wellcome grants 098051 and 206194; Cancer Research UK Grand Challenge Award C98/A24032 to L.B.A. and B.O.; the Li Ka Shing Foundation and National Institute for Health Research Oxford Biomedical Research Centre to D.C.W.; ED481A-2016/151 from Xunta de Ga-licia to B.R.–M. The use of pre-embargo PCAWG project mutational signatures data was approved by the PCAWG Steering Committee (excluding co-author P.J.C.) and the Mutational Signatures Working Group. Particular thanks to Jaegil Kim, Nicholas Haradhvala, Gaddy Getz, Steve Rozen, and other mem-bers of the PCAWG Working Group and to Graham Bignell for annotating mu-tation catalogs from 1,001 cell lines.
AUTHOR CONTRIBUTIONS
DECLARATION OF INTERESTS
During manuscript revision, M.P. was employed at Vertex Pharmaceuticals. U.M. is employed at AstraZeneca. Both were full-time employees of the Well-come Sanger Institute at the time of the primary manuscript draft preparation. M.R.S. is a member of the Grail Scientific Advisory Board.
REFERENCES
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Conticello, S.G. (2008). The AID/APOBEC family of nucleic acid mutators.
Freitas, T.A., Li, P.E., Scholz, M.B., and Chain, P.S. (2015). Accurate read-based metagenome characterization using a hierarchical suite of unique sig-natures. Nucleic Acids Res. 43, e69.
Petljak, M., and Alexandrov, L.B. (2016). Understanding mutagenesis through delineation of mutational signatures in human cancer. Carcinogenesis 37, 531–540.
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mutations in yeast and in human cancers can arise from damaged long sin-gle-strand DNA regions. Mol. Cell 46, 424–435.
Schneider-Ga¨dicke, A., and Schwarz, E. (1986). Different human cervical car-cinoma cell lines show similar transcription patterns of human papillomavirus type 18 early genes. EMBO J. 5, 2285–2292.
STAR+METHODS
KEY RESOURCES TABLE
REAGENT or RESOURCE
SOURCE
IDENTIFIER
Biological Samples
1,001 human cancer cell lines
COSMIC Cell Line Project
https://cancer.sanger.ac.uk/cell_lines
Critical Commercial Assays
Custom SureSelect Library Prep Kit
Agilent
SureSelect Targeted Enrichment kit
Agilent
illustra GenomiPhi V2 DNA amplification kit
GE Healthcare
Ribo-Zero rRNA Removal Kit
Illumina
KAPA Stranded mRNA-Seq Kit
Kapa Biosystems
ERCC RNA Spike-In Mix
Deposited Data
DNA sequence data
This paper
RNA sequence data
This paper
Software and Algorithms
Mapping workflow
Cancer, Aging and Somatic Mutation
https://dockstore.org/containers/quay.io/
group, Wellcome Sanger Institute
wtsicgp/dockstore-cgpmap
Mutation calling workflows
Cancer, Aging and Somatic Mutation
Whole-exome: https://dockstore.org/
group, Wellcome Sanger Institute
containers/quay.io/wtsicgp/dockstore-cgpwxs
Whole-genome: https://dockstore.org/
containers/quay.io/wtsicgp/dockstore-cgpwgs
vafCorrect
Cancer, Aging and Somatic Mutation
https://github.com/cancerit/vafCorrect