Matthew D Johnston

Summary

Affiliation: University of Oxford
Country: UK

Publications

  1. pmc Examples of mathematical modeling: tales from the crypt
    Matthew D Johnston
    Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford, UK
    Cell Cycle 6:2106-12. 2007
  2. pmc Mathematical modeling of cell population dynamics in the colonic crypt and in colorectal cancer
    Matthew D Johnston
    Centre for Mathematical Biology, Mathematical Institute, University of Oxford, 24 29 St Giles, Oxford OX1 3LB, United Kingdom
    Proc Natl Acad Sci U S A 104:4008-13. 2007
  3. doi request reprint On the proportion of cancer stem cells in a tumour
    Matthew D Johnston
    Centre for Mathematical Biology, Mathematical Institute, University of Oxford, 24 29 St Giles, Oxford OX1 3LB, UK
    J Theor Biol 266:708-11. 2010

Detail Information

Publications3

  1. pmc Examples of mathematical modeling: tales from the crypt
    Matthew D Johnston
    Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford, UK
    Cell Cycle 6:2106-12. 2007
    ..We use the model to argue why tumorigenesis is observed to occur in stages with long lag phases between periods of rapid growth, and we identify the key parameters...
  2. pmc Mathematical modeling of cell population dynamics in the colonic crypt and in colorectal cancer
    Matthew D Johnston
    Centre for Mathematical Biology, Mathematical Institute, University of Oxford, 24 29 St Giles, Oxford OX1 3LB, United Kingdom
    Proc Natl Acad Sci U S A 104:4008-13. 2007
    ..The second model can be used to explain the long lag phases in tumor growth, during which new, higher equilibria are reached, before unlimited growth in cell numbers ensues...
  3. doi request reprint On the proportion of cancer stem cells in a tumour
    Matthew D Johnston
    Centre for Mathematical Biology, Mathematical Institute, University of Oxford, 24 29 St Giles, Oxford OX1 3LB, UK
    J Theor Biol 266:708-11. 2010
    ..We show that CSCs may comprise any possible proportion of the tumour, and that the higher the proportion the more aggressive the tumour is likely to be...