Journal article
Stochastic measurement models for quantifying lymphocyte responses using flow cytometry
A Kan, D Pavlyshyn, JF Markham, MR Dowling, S Heinzel, JHS Zhou, JM Marchingo, PD Hodgkin
Plos One | Published : 2016
Open access
Abstract
Adaptive immune responses are complex dynamic processes whereby B and T cells undergo division and differentiation triggered by pathogenic stimuli. Deregulation of the response can lead to severe consequences for the host organism ranging from immune deficiencies to autoimmunity. Tracking cell division and differentiation by flow cytometry using fluorescent probes is a major method for measuring progression of lymphocyte responses, both in vitro and in vivo. In turn, mathematical modeling of cell numbers derived from such measurements has led to significant biological discoveries, and plays an increasingly important role in lymphocyte research. Fitting an appropriate parameterized model to s..
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Awarded by European Commission
Funding Acknowledgements
This work was supported by the National Health and Medical Research Council (NHMRC) through project grant 1010654, program grant 1054925, and fellowships to M.R.D. and P.D.H (https://www.nhmrc.gov.au/). P.D.H. was also supported in part by Human Frontier Science Program grant RGP0060/2012 (http://www.hfsp.org/). D.P. was supported by Victorian Life Science Computational Initiative (https://www.vlsci.org.au/). J.H.S.Z. was a recipient of an Australian Postgraduate Award (https://education.gov.au/australian-postgraduate-awards). J.M.M. was the recipient of an Australian Postgraduate Award, WEHI Edith Moffat Scholarship and Sydney Parker Smith Postdoctoral Research Fellowship from the Cancer Council of Victoria (https://education.gov.au/australianpostgraduate-awards). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.