Format

Send to

Choose Destination
See comment in PubMed Commons below
Nat Methods. 2012 Sep;9(9):923-8. doi: 10.1038/nmeth.2138. Epub 2012 Aug 12.

Fractional proliferation: a method to deconvolve cell population dynamics from single-cell data.

Author information

1
Department of Cancer Biology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA. darren.tyson@vanderbilt.edu

Abstract

We present an integrated method that uses extended time-lapse automated imaging to quantify the dynamics of cell proliferation. Cell counts are fit with a quiescence-growth model that estimates rates of cell division, entry into quiescence and death. The model is constrained with rates extracted experimentally from the behavior of tracked single cells over time. We visualize the output of the analysis in fractional proliferation graphs, which deconvolve dynamic proliferative responses to perturbations into the relative contributions of dividing, quiescent (nondividing) and dead cells. The method reveals that the response of 'oncogene-addicted' human cancer cells to tyrosine kinase inhibitors is a composite of altered rates of division, death and entry into quiescence, a finding that challenges the notion that such cells simply die in response to oncogene-targeted therapy.

PMID:
22886092
PMCID:
PMC3459330
DOI:
10.1038/nmeth.2138
[Indexed for MEDLINE]
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Nature Publishing Group Icon for PubMed Central
    Loading ...
    Support Center