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Subclonal mutation selection in mouse lymphomagenesis identifies known cancer loci and suggests novel candidates

Authors
  • Webster, Philip1, 2, 3
  • Dawes, Joanna C.1, 2
  • Dewchand, Hamlata1, 2
  • Takacs, Katalin1, 2
  • Iadarola, Barbara1, 2
  • Bolt, Bruce J.1, 2
  • Caceres, Juan J.4
  • Kaczor, Jakub1, 2
  • Dharmalingam, Gopuraja1, 2
  • Dore, Marian1, 2
  • Game, Laurence1, 2
  • Adejumo, Thomas1, 2
  • Elliott, James1, 2
  • Naresh, Kikkeri3
  • Karimi, Mohammad1, 2
  • Rekopoulou, Katerina1, 2
  • Tan, Ge1, 2
  • Paccanaro, Alberto4
  • Uren, Anthony G.1, 2
  • 1 MRC London Institute of Medical Sciences (LMS), Du Cane Road, London, W12 0NN, UK , London (United Kingdom)
  • 2 Imperial College London, Institute of Clinical Sciences (ICS), Faculty of Medicine, Du Cane Road, London, W12 0NN, UK , London (United Kingdom)
  • 3 Imperial College Healthcare NHS Trust, London, W12 0HS, UK , London (United Kingdom)
  • 4 University of London, Centre for Systems and Synthetic Biology, Department of Computer Science, Royal Holloway, Egham, TW20 0EX, UK , Egham (United Kingdom)
Type
Published Article
Journal
Nature Communications
Publisher
Springer Nature
Publication Date
Jul 09, 2018
Volume
9
Issue
1
Identifiers
DOI: 10.1038/s41467-018-05069-9
Source
Springer Nature
License
Green

Abstract

Evidence implicating cancer drivers can be sparse when limited to clonal events. Here, the authors present a retrovirus driven in vivo lymphomagenesis time course including hundreds of thousands of subclonal mutations and demonstrate the utility of these in mapping the selective forces affecting cancer gene loci, including negatively selected mutations.

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