Cell population dynamics model for deconvolution of murine embryonic stem cell self-renewal and differentiation responses to cytokines and extracellular matrix.

Published

Journal Article

Stem cell self-renewal versus differentiation fate decisions are difficult to characterize and analyze due to multiple competing rate processes occurring simultaneously among heterogeneous cell subpopulations. To address this challenge, we describe a mathematical model for cell population dynamics that allows flow cytometry measurement of population distributions of molecular markers to be deconvoluted in terms of subpopulation-specific rate parameters distinguishing commitment to differentiation, proliferation of differentiated cells, and proliferation of undifferentiated cells (i.e., self-renewal). We validate this model-based parameter determination by means of dedicated, independent cell-tracking studies. Our approach facilitates interpretation of relationships underlying effects of external cues on cell responses in differentiating cultures via intracellular signals.

Full Text

Duke Authors

Cited Authors

  • Prudhomme, WA; Duggar, KH; Lauffenburger, DA

Published Date

  • November 5, 2004

Published In

Volume / Issue

  • 88 / 3

Start / End Page

  • 264 - 272

PubMed ID

  • 15486930

Pubmed Central ID

  • 15486930

International Standard Serial Number (ISSN)

  • 0006-3592

Digital Object Identifier (DOI)

  • 10.1002/bit.20244

Language

  • eng

Conference Location

  • United States