Abstract | The results show that the assumption — starving cells die exponentially — is true only at high cell density . |
Abstract | Detailed analyses show intriguing quantitative characteristics of the density-dependent and biphasic survival kinetics, including that the period of the perseverance is inversely proportional to cell density . |
Author Summary | Here, we show that this assumption is true only at high cell density . |
Author Summary | At low cell density , cells can persevere for extended periods of time, before dying at a constant rate. |
Introduction | Quantitative analyses reveal simple quantitative formulas governing the patterns, e.g., the first and second kinetics are well described by exp(-t2) and exp(-t) respectively, and the duration of the first kinetics is inversely proportional to cell density . |
Introduction | (The results show that the previous assumption—exponential decay of survival of starving cells—is true only at very high cell density .) |
Survival of starving cells is cell-density-dependent and biphasic | The temporal kinetics of NCFU in glycerol-exhausted cultures with 5 different cell densities is plotted in Fig. |
Survival of starving cells is cell-density-dependent and biphasic | I (see S2 Fig for the kinetics of other cell densities ). |
Survival of starving cells is cell-density-dependent and biphasic | The period of the first phase becomes more pronounced at lower cell density , prolonging cell survival. |
Discussion | Current WHO guidelines suggest commencing treatment at CD4+ T cell density of > 350cells/yl and < 500cells/yl [45]. |
Results | The activation rate a(NM/N) increases as the total T cell density (N) falls (caused by the HIV-1 progression). |
Results | Susceptible T cells turn into quiescent T cells at a rate r. They proliferate at a variable rate p (1 — N/N M), Where p is the proliferation coefficient, N is the total T cell density, and NM is the T cell density at Which proliferation stops. |
Results | This variable proliferation rate is a reasonable approximation [29] to the real T cell proliferation process, based on evidence [2] that T cell proliferation rate is density-dependent and would slow as the T cell density becomes high. |
Supporting Information | N S is the quasi-steady CD4+ T cell density and V3 is the quasi-steady density of free Virions, which are average densities between the 100th and 800th days after initial infection. |
Treatment evaluation | post-exposure prophylaxis) leads to no decline in CD4+ T cell density , and no chronic infection phase. |
Treatment evaluation | The same treatment applied when T cell density reaches the levels (500 CD4+ T cells/1,11 and 350 CD4+ T cells/1,11) at which the World Health Organization recommends ART initiation [45] is followed by a rapid virus rebound after the treatment stops, and the disease progresses according to its normal course. |
A O B O surrounding | Paracrine cytokine signals depend on cell density and receptor number. |
A O B O surrounding | The autocrine and para-crine uptake rates Iauto and Ipara depend on the level of cytokine receptor expression on the target cells (Fig 1E), and are practically independent of the cell-to-cell distance even at high cell density (Fig IF; the low cell-density scenario is independent of the cell-to-cell distance by construction). |
Discussion | Interestingly, a fourth system property one might expect to have a large influence on the dynamics of the system, the cell density or cell-to-cell distance, is unimportant for the results of our simulations (Fig 4E). |
Target cell density and receptor expression control paracrine cytokine signals | Target cell density and receptor expression control paracrine cytokine signals |
Supporting Information | The effect of initial cell density on the predictive powers of recovery time. |
Supporting Information | Time curves for cell density , Bla, and antibiotic concentration. |
Supporting Information | Time curves for cell density , Bla, and antibiotic concentration. |