Logistic growth model for cell proliferation with agents

In summary, the conversation is about a project involving the examination of cell proliferation in colorectal carcinoma using data from the xCELLigence system. The system generates cell indices at 5-minute intervals for 72 hours, resulting in about 864 cell indices. During the experiments, inhibitors or stimulators are added to the cells, which can affect the growth curve in four different ways: shifting on the x-axis (inhibition or stimulation) or shifting on the y-axis (higher or lower growth rate). The project also involves using a logistic model with parameters for the strength of the agent and the half-life, to identify the growth at every time point. The question is whether it is necessary to distinguish between inhibitors and stimulators or if it is
  • #1
Risclab
2
0
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 resistence 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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  • #2
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?
 

Related to Logistic growth model for cell proliferation with agents

1. What is a logistic growth model for cell proliferation?

A logistic growth model is a mathematical representation of how cells proliferate or grow in a controlled environment. It takes into account the presence of limiting factors, such as nutrients or space, which can affect the rate of cell growth.

2. How does the logistic growth model differ from other growth models?

The logistic growth model differs from other growth models, such as exponential or linear, because it takes into account the carrying capacity of the environment. This means that as the population of cells grows, the growth rate slows down and eventually reaches a plateau.

3. What are the key components of the logistic growth model?

The key components of the logistic growth model include the initial number of cells, the growth rate, the carrying capacity of the environment, and the presence of limiting factors. These components are used in the mathematical equation to predict the growth of cells over time.

4. Can the logistic growth model be applied to all types of cells?

Yes, the logistic growth model can be applied to all types of cells as long as there is a controlled environment with limiting factors that affect cell growth. It is commonly used in studies of cancer cell proliferation and drug treatments.

5. How is the logistic growth model used in scientific research?

The logistic growth model is used in scientific research to predict and analyze the growth of cells under different conditions. It can also be used to study the effectiveness of agents, such as drugs or nutrients, on cell proliferation and to determine the optimal conditions for cell growth and survival.

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