How are estimated cellular turnover rates influenced by the dynamics of a source population?

doi:10.1371/journal.pcbi.1013052

How are estimated cellular turnover rates influenced by the dynamics of a source population?

Table 3

Parameter estimates of the best fits shown in Fig 6. The quantities , and are the parameters of the two sub-population kinetic heterogeneity model (Equation 3). The average turnover rate is denoted by and is calculated as . The quantities , , and are the parameters of the ES model (equation 2h). The rates are reported in per day units. The AICs of the single population (a), two populations (b), and three populations (c) fits are -78.80, -261.47, and -257.47, respectively. The quantity of interest, i.e., the estimated turnover rate of CD57⁺CD4⁺ memory T cells, for the three scenarios is shown in bold.

doi: https://doi.org/10.1371/journal.pcbi.1013052.t003