IJPAM: Volume 100, No. 1 (2015)
ASYMMETRY IN CYTON-BASED MODELS FOR
FSE-BASED FLOW CYTOMETRY DATA
Jordi Argilaguet, Andreas Meyerhans
Center for Research in Scientific Computation
North Carolina State University
Raleigh, NC 27695-8212, USA
ICREA Infection Biology Lab
Department of Experimental and Health Sciences
Universitat Pompeu Fabra
Barcelona, 08003, SPAIN
Abstract. We carry out computational inverse problem investigations to determine the importance of allowing for unequal label allocation to daughter cells during mitosis. Parameter estimations are performed using previously developed label-structured partial differential equation models that utilize “cytons” to account for variability in times between cell divisions as well as times until cell death. These models are augmented to allow for asymmetric cell divisions through inclusion of an additional model parameter. We employ well-known model comparison tests to analyze CFSE-based flow cytometry data with respect to the importance of asymmetric division during proliferation of human CD4+ and CD8+ T cells.
Received: February 20, 2015
AMS Subject Classification:
Key Words and Phrases: cell proliferation, flow cytometry, CFSE, partial differential equations, label-structured population dynamics, cell division number, inverse problems, asymmetric cell division
Download paper from here.
DOI: 10.12732/ijpam.v100i1.12 How to cite this paper?
Source: International Journal of Pure and Applied Mathematics
ISSN printed version: 1311-8080
ISSN on-line version: 1314-3395
Pages: 131 - 156
Google Scholar; DOI (International DOI Foundation); WorldCAT.
This work is licensed under the Creative Commons Attribution International License (CC BY).