Nature Communications (Feb 2020)
Measuring single cell divisions in human tissues from multi-region sequencing data
- Benjamin Werner,
- Jack Case,
- Marc J. Williams,
- Ketevan Chkhaidze,
- Daniel Temko,
- Javier Fernández-Mateos,
- George D. Cresswell,
- Daniel Nichol,
- William Cross,
- Inmaculada Spiteri,
- Weini Huang,
- Ian P. M. Tomlinson,
- Chris P. Barnes,
- Trevor A. Graham,
- Andrea Sottoriva
Affiliations
- Benjamin Werner
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research
- Jack Case
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research
- Marc J. Williams
- Evolution and Cancer Laboratory, Centre for Cancer Genomics & Computational Biology, Barts Cancer Institute, Queen Mary University London
- Ketevan Chkhaidze
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research
- Daniel Temko
- Evolution and Cancer Laboratory, Centre for Cancer Genomics & Computational Biology, Barts Cancer Institute, Queen Mary University London
- Javier Fernández-Mateos
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research
- George D. Cresswell
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research
- Daniel Nichol
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research
- William Cross
- Evolution and Cancer Laboratory, Centre for Cancer Genomics & Computational Biology, Barts Cancer Institute, Queen Mary University London
- Inmaculada Spiteri
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research
- Weini Huang
- Group of Theoretical Biology, The State Key Laboratory of Biocontrol, School of Life Science, Sun Yat-sen University
- Ian P. M. Tomlinson
- Institute of Cancer and Genomic Sciences, University of Birmingham
- Chris P. Barnes
- Department of Cell and Developmental Biology, University College London
- Trevor A. Graham
- Evolution and Cancer Laboratory, Centre for Cancer Genomics & Computational Biology, Barts Cancer Institute, Queen Mary University London
- Andrea Sottoriva
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research
- DOI
- https://doi.org/10.1038/s41467-020-14844-6
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 9
Abstract
Quantifying somatic evolutionary processes in cancer and healthy tissue is a challenge. Here, the authors use single time point multi-region sampling of cancer and normal tissue, combined with evolutionary theory, to quantify in vivo mutation and cell survival rates per cell division.
