Index of papers in April 2015 that mention
  • growth rate
Thomas W. Spiesser, Clemens Kühn, Marcus Krantz, Edda Klipp
Abstract
With a mathematical population model comprised of individually growing cells, we show that cyclin translation would suffice to explain the observed growth rate dependence of cell volume at START.
Introduction
It emerges as a combination of the cell cycle, controlling the orderly orchestration of duplication and division, and the individual growth rate , reflecting extra and intracellular physiological conditions.
Introduction
The cell cycle and the growth rate are coupled, such that proliferation and growth are balanced, avoiding abnormally large or small cells.
Introduction
The growth or biosynthetic capacity of the cell determines the growth rate and the unstable regulator is presumed to be one of the G1 cyclins, most likely Cln3 [8].
Results
Linking growth and division through cyclin translation leads to size homeostasis and a growth rate dependent sizer in G1
Results
The volume trajectory for a single cell is biphasic With altered growth rates dependent on cell cycle stage as observed experimentally as well (Fig 1B) [15, 40—42].
Results
Moreover, in both models there is a strong dependence of the cell volume at START on the individual growth rate in G1 phase (Figs 2B and 81—83), as observed experimentally [15].
growth rate is mentioned in 46 sentences in this paper.
Topics mentioned in this paper:
Ka Wai Lin, Angela Liao, Amina A. Qutub
Discussion
However, at low oxygen levels, glioblastoma will have drastically higher HIFloc levels which result in a much different phenotype and growth rate .
Discussion
In fact, the top four rate constants that glioblastoma growth was most sensitive to when individually perturbed were the production of HIFloc (k8), production of IGFBP2 (k1), growth rate due to HIFloc (km) and promotion of HIFloc by IGFBP2 (kw).
Fitting model parameters
The model was fitted for three outputs: glioblastoma growth rate ; HIFloc vs. 02 levels; and IGFI as a function of IGFBP2.
Fitting model parameters
The glioblastoma growth rates were found for two distinct experiments (U87 and LN229) by fitting the same model and obtaining different initial conditions and growth rates for the two cell lines.
Growth of glioblastoma experiments
The growth rate of the glioblastoma tumor, Eq 5, was determined by regression analysis using the data from both our previous experiments on spheroid growth in vitro using the U87 glio-blastoma cell line and LN229 glioblastoma growth in mice [70].
Insulin signaling pathway reactions that drive glioma growth
Results are plotted in Fig 4, which shows that LN229 glioblastoma growth was most sensitive to the production of HIFloc (k8) production of IGFBP2 (k1), growth rate due to HIFloc (k1 1) and promotion of HIFloc by IGFBP2 (km).
Insulin signaling pathway reactions that drive glioma growth
Rate constants that glioblastoma growth rate were most sensitive to in LN229 cells.
growth rate is mentioned in 7 sentences in this paper.
Topics mentioned in this paper:
Andy Phaiboun, Yiming Zhang, Boryung Park, Minsu Kim
RpoS —| cell growth
Importantly, further studies show that although the growth rate of the population is zero at S = 81, the substrate consumption rate is not zero; see [36] for review.
RpoS —| cell growth
This observation also agrees with previous studies [33—35]; in these studies, it is shown that as the substrate concentration 8 decreases, the growth rate 1 decreases, but 1 becomes zero at a nonzero substrate concentration.
RpoS —| cell growth
Importantly, even when the growth rate of a population is zero (i.e., l = 0 at S = 81 in Fig.
growth rate is mentioned in 3 sentences in this paper.
Topics mentioned in this paper: