Logistic growth model for cell proliferation with agents

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SUMMARY

The discussion centers on modeling cell proliferation in colorectal carcinoma using the logistic growth model, specifically utilizing data from the xCELLigence system, which provides cell indices over 72 hours at 5-minute intervals. The user, Rich, seeks to incorporate parameters such as the strength of inhibitors or stimulators and their half-lives into the differential equation to accurately represent growth characteristics. Key growth curve behaviors include shifts on both the x-axis (indicating inhibition or stimulation) and the y-axis (indicating changes in growth rates). Rich questions whether distinguishing between inhibitors and stimulators is necessary for deriving a growth factor over a specific time interval.

PREREQUISITES
  • Understanding of logistic growth models in biological systems
  • Familiarity with differential equations and their applications
  • Knowledge of cell proliferation measurement techniques, specifically xCELLigence
  • Basic concepts of pharmacodynamics, including half-life and agent strength
NEXT STEPS
  • Research the application of differential equations in biological modeling
  • Study the logistic growth model and its parameters in detail
  • Explore the impact of inhibitors and stimulators on cell growth dynamics
  • Investigate literature on modeling cell proliferation using xCELLigence data
USEFUL FOR

Researchers in cell biology, biostatisticians, and anyone involved in cancer research or modeling biological growth processes will benefit from this discussion.

Risclab
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Hello community,

in project group I am doing some in which I definitely need your help.
Basically what I am intending to do is to examine the cell proliferation
of cell of the colorectal carcinoma. The data I will receive is from
the xCELLigence system and generates so called cell indices, basically over
a resistance measurement. These are values for approximately 72 hrs with
the intervall of 5 minues. Meaning I would have about 864 cell indices.

In addition during the experiments inhibitors or stimulators will be added
on to the cells, resulting in a change of the growth.

However for the modelling via differential equation with the logistic model,
I would further need to include parameters for the strength of the agent
and maybe taking the half-life into consideration. Such that the growth can
be identified at every time.

So basically after treatment the growth curve could show 4 characteristics
in respect to the control:
1) curve shifts on the x-axis to the right (inhibition),
2) curve shifts on the x-axis to the left (stimulation), which is basically
a delayed growth and accerlerated grwoth.
-curve shifts on the y-axis up (stimulation)
-curve shifts on the y-axis down (inhibition)
resulting in a higher and lower growth rate during a curve.

Could I now just express a value for the agent and the half-life as part of an
exponential grwoth into the equation and do I need to distinguish between
inhibitor and stimulator? Or how can i express stagnation.
I have right now no clue how to approach this task. Hope somebody can give me hint
or literature?

Cheers
Rich
 
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Or maybe it is possible to ignore inhibition and stimulation?
After all I only need to derive a growth factor over a certain time intervall.
The difference I could calculate in reference to the control.
In this case the logistic function should be sufficient?
 

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