Two-compartment model of NK cell proliferation: insights from population response to IL-15 stimulation.
Two-compartment model of NK cell proliferation: insights from population response to IL-15 stimulation.
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DOI:
10.4049/jimmunol.1102989
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发表时间:
2012-04-01
期刊:
影响因子:
--
通讯作者:
French AR
中科院分区:
文献类型:
--
作者:
Zhao YM;French AR
Natural killer (NK) cells are innate lymphocytes that mediate early host defense against viruses, such as cytomegalovirus. Interleukin 15 (IL-15) is upregulated during viral infections and drives the expansion of NK cells. However, the influence of IL-15 on murine NK cell division and death rates has not been quantitatively studied. Therefore, we developed a series of two-compartment (representing quiescent and dividing NK cell subpopulations) mathematical models, incorporating different assumptions about the kinetic parameters regulating NK cell expansion. Using experimentally derived division and death rates, we tested each model’s assumptions by comparing predictions of NK cell numbers with independent experimental results and demonstrated that the kinetic parameters are distinct for non-dividing and dividing NK cell subpopulations. IL-15 influenced NK cell expansion by modulating recruitment and division rates to a greater extent than death rates. The observed time delay to first division could be accounted for by differences in the kinetic parameters of non-dividing and dividing subsets of NK cells. Although the duration of the time delay to first division was not significantly influenced by IL-15, the recruitment of non-dividing NK cells into the replicating subpopulation increased with higher IL-15 concentrations. Our model quantitatively predicted changes in NK cell accumulation when IL-15 stimulation was reduced, demonstrating that NK cell divisional commitment was interrupted when cytokine stimulation was removed. In summary, this quantitative analysis reveals novel insights into the in vitro regulation of NK cell proliferation and provides a foundation for modeling in vivo NK cell responses to viral infections.
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影响因子:
6
作者:
Lima, M;Almeida, J;Orfao, A
通讯作者:
Orfao, A
影响因子:
30.5
作者:
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通讯作者:
Ahmed, R
DOI:
10.1084/jem.191.5.771
发表时间:
2000-03-06
期刊:
The Journal of experimental medicine
影响因子:
--
作者:
Kennedy MK;Glaccum M;Brown SN;Butz EA;Viney JL;Embers M;Matsuki N;Charrier K;Sedger L;Willis CR;Brasel K;Morrissey PJ;Stocking K;Schuh JC;Joyce S;Peschon JJ
通讯作者:
Peschon JJ
影响因子:
20.3
作者:
Cooper, MA;Bush, JE;Caligiuri, MA
通讯作者:
Caligiuri, MA
影响因子:
14.2
作者:
French, Anthony R.;Kim, Sungjin;Yokoyama, Wayne M.
通讯作者:
Yokoyama, Wayne M.