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原文連結
論文資訊
- 類型：已發表論文
- 日期：2012
摘要
To study the kinetics of lymphocytes, models have divided the cell 族群 into sub族群s with different turnover rates. These have been called 'kinetic heterogeneity models' so as to distinguish them from 'temporal heterogeneity models', in which a cell 族群 may have different turnover rates at different times, e.g. when resting versus when activated. We model labelling curves for temporally heterogeneous 族群s, and predict that they exhibit equal biphasic up-and downslopes. We show when cells divide only once upon activation, these slopes are dominated by the slowest exponent, yielding underestimates of the average turnover rate. When cells undergo more than one division, the labelling curves allow fitting of the two exponential slopes in the temporal heterogeneity model. The same data can also be d
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