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Investigation into the regulation mechanisms of TRAIL apoptosis pathway by mathematical modeling
Ting Zhang1, Ming Wu, Quan Chen
1Institute of Bioinformatics and Systems Biology, Tsinghua University, Beijing, China.
Abstract:
TNF-related apoptosis-inducing ligand (TRAIL) selectively induces apoptosis in tumor cell lines, suggesting its great potential in cancer therapy. Many components in TRAIL-mediated signaling pathway have been identified, but how they interact with each other to determine the network dynamics and final apoptosis remains elusive. Here we constructed a mathematical model of this pathway, which integrated current available information from related experimental literatures, to make a systematic and quantitative description of the cellular responses to TRAIL stimulation. By applying sensitivity analysis, we identified the key components and reactions that have the highest impact on the network dynamics, and then analyzed the regulatory role of several key players in this pathway. To elucidate the function of TRAIL decoy receptors, we compared the competitive ligand binding hypothesis versus the pre-ligand binding hypothesis. Our results show that the pre-ligand binding hypothesis is more suitable for explaining the fact that over-expression of decoy receptors can inhibit apoptosis potently. These results, together with our investigation on other downstream proteins and feedback loops in this pathway, provide insights into the molecular mechanisms of the TRAILmediated apoptosis pathway.
Insights
TNF-related apoptosis-inducing ligand (TRAIL) shows promise in cancer therapy by inducing tumor cell death. Our mathematical model reveals key pathway components and explains how decoy receptors regulate TRAIL-induced apoptosis.
Area of Science:
- Cellular Biology
- Biochemistry
- Systems Biology
Background:
- TNF-related apoptosis-inducing ligand (TRAIL) selectively induces apoptosis in tumor cells, highlighting its therapeutic potential.
- The precise molecular interactions governing TRAIL-mediated apoptosis signaling remain incompletely understood.
- Understanding TRAIL pathway dynamics is crucial for optimizing cancer treatment strategies.
Purpose of the Study:
- To construct a quantitative mathematical model of the TRAIL-mediated apoptosis pathway.
- To systematically analyze network dynamics and identify key regulatory components.
- To elucidate the mechanism of action for TRAIL decoy receptors in apoptosis regulation.
Main Methods:
- Integrated experimental literature to build a comprehensive mathematical model of the TRAIL pathway.
- Applied sensitivity analysis to identify critical pathway components and reactions.
- Compared ligand binding hypotheses to explain decoy receptor function.
Main Results:
- Identified key components and reactions significantly impacting TRAIL-mediated apoptosis network dynamics.
- Demonstrated that the pre-ligand binding hypothesis better explains potent apoptosis inhibition by decoy receptors.
- Revealed insights into the regulatory roles of downstream proteins and feedback loops.
Conclusions:
- The developed mathematical model provides a quantitative framework for understanding TRAIL-mediated apoptosis.
- Decoy receptor function is better explained by the pre-ligand binding hypothesis.
- This study offers valuable insights into the molecular mechanisms underlying TRAIL-induced apoptosis for cancer therapy development.
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