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Use of a Caspase Multiplexing Assay to Determine Apoptosis in a Hypothalamic Cell Model
Published on: April 16, 2014
APOPTO-CELL--a simulation tool and interactive database for analyzing cellular susceptibility to apoptosis
Heinrich J Huber1, Markus Rehm, Martin Plchut
1Systems Biology Group, RCSI Research Institute, Dublin 2, Ireland.
Bioinformatics (Oxford, England)
|January 24, 2007
Summary
This study introduces a web service for analyzing cell apoptosis susceptibility. It models the mitochondrial apoptotic pathway to predict cell fate and identify key regulatory proteins for cancer research.
Area of Science:
- Systems Biology
- Cellular Biology
- Biochemistry
Background:
- The mitochondrial apoptotic pathway is crucial for programmed cell death.
- Understanding apoptosis regulation is vital for cancer research and therapy.
- Existing tools lack comprehensive analysis of apoptosis susceptibility.
Purpose of the Study:
- To develop a web service for analyzing cellular apoptosis susceptibility.
- To model the mitochondrial apoptotic pathway using ordinary differential equations.
- To provide a tool for identifying key regulatory proteins and critical thresholds for apoptosis.
Main Methods:
- Developed a web service based on ordinary differential equations.
- Incorporated a network of 52 reactions and 19 reaction partners.
- Utilized pre-determined protein concentrations and release kinetics of mitochondrial factors.
- Enabled interactive data deposition and comparison with real-time single-cell experiments.
Main Results:
- The web service analyzes cell susceptibility to apoptosis.
- It displays temporal protein profiles and identifies key regulatory proteins.
- Critical threshold concentrations for apoptosis execution are determined.
- Quantitative data can be deposited and compared to experimental results.
Conclusions:
- The developed web service is a widely applicable systems biology tool for apoptosis research.
- It aids in understanding apoptosis mechanisms in cancer cells.
- Facilitates the identification of therapeutic targets for cancer treatment.
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