Subclonal mutation selection in mouse lymphomagenesis identifies known cancer loci and suggests novel candidates
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 can...
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Nature Portfolio
2018
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oai:doaj.org-article:3cbfb68852e24510a503042bbd7eab4d2021-12-02T17:32:34ZSubclonal mutation selection in mouse lymphomagenesis identifies known cancer loci and suggests novel candidates10.1038/s41467-018-05069-92041-1723https://doaj.org/article/3cbfb68852e24510a503042bbd7eab4d2018-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-05069-9https://doaj.org/toc/2041-1723Evidence 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.Philip WebsterJoanna C. DawesHamlata DewchandKatalin TakacsBarbara IadarolaBruce J. BoltJuan J. CaceresJakub KaczorGopuraja DharmalingamMarian DoreLaurence GameThomas AdejumoJames ElliottKikkeri NareshMohammad KarimiKaterina RekopoulouGe TanAlberto PaccanaroAnthony G. UrenNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-14 (2018) |
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Science Q Philip Webster Joanna C. Dawes Hamlata Dewchand Katalin Takacs Barbara Iadarola Bruce J. Bolt Juan J. Caceres Jakub Kaczor Gopuraja Dharmalingam Marian Dore Laurence Game Thomas Adejumo James Elliott Kikkeri Naresh Mohammad Karimi Katerina Rekopoulou Ge Tan Alberto Paccanaro Anthony G. Uren Subclonal mutation selection in mouse lymphomagenesis identifies known cancer loci and suggests novel candidates |
description |
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. |
format |
article |
author |
Philip Webster Joanna C. Dawes Hamlata Dewchand Katalin Takacs Barbara Iadarola Bruce J. Bolt Juan J. Caceres Jakub Kaczor Gopuraja Dharmalingam Marian Dore Laurence Game Thomas Adejumo James Elliott Kikkeri Naresh Mohammad Karimi Katerina Rekopoulou Ge Tan Alberto Paccanaro Anthony G. Uren |
author_facet |
Philip Webster Joanna C. Dawes Hamlata Dewchand Katalin Takacs Barbara Iadarola Bruce J. Bolt Juan J. Caceres Jakub Kaczor Gopuraja Dharmalingam Marian Dore Laurence Game Thomas Adejumo James Elliott Kikkeri Naresh Mohammad Karimi Katerina Rekopoulou Ge Tan Alberto Paccanaro Anthony G. Uren |
author_sort |
Philip Webster |
title |
Subclonal mutation selection in mouse lymphomagenesis identifies known cancer loci and suggests novel candidates |
title_short |
Subclonal mutation selection in mouse lymphomagenesis identifies known cancer loci and suggests novel candidates |
title_full |
Subclonal mutation selection in mouse lymphomagenesis identifies known cancer loci and suggests novel candidates |
title_fullStr |
Subclonal mutation selection in mouse lymphomagenesis identifies known cancer loci and suggests novel candidates |
title_full_unstemmed |
Subclonal mutation selection in mouse lymphomagenesis identifies known cancer loci and suggests novel candidates |
title_sort |
subclonal mutation selection in mouse lymphomagenesis identifies known cancer loci and suggests novel candidates |
publisher |
Nature Portfolio |
publishDate |
2018 |
url |
https://doaj.org/article/3cbfb68852e24510a503042bbd7eab4d |
work_keys_str_mv |
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