A Logical Model of T Cell Receptor Signaling
Author Information
Author(s): Julio Saez-Rodriguez, Luca Simeoni, Jonathan A Lindquist, Rebecca Hemenway, Ursula Bommhardt, Boerge Arndt, Utz-Uwe Haus, Robert Weismantel, Ernst D Gilles, Steffen Klamt, Burkhart Schraven
Primary Institution: Max Planck Institute for Dynamics of Complex Technical Systems
Hypothesis
Can a logical model provide insights into T cell receptor signaling?
Conclusion
The logical model for T cell activation is a promising tool that can predict unexpected signaling events and inspire new research questions.
Supporting Evidence
- The model predicted unexpected signaling events after perturbation of CD28 and knockout of the kinase Fyn.
- The model was validated by reproducing published data on T cell activation.
- Experiments confirmed the model's predictions regarding JNK activation pathways.
- The model identified missing links and potential failure modes in T cell signaling.
Takeaway
This study created a computer model to understand how T cells get activated, which helps scientists figure out how to treat diseases like cancer.
Methodology
A large-scale Boolean model was constructed based on qualitative knowledge from primary T cells, comprising 94 nodes and 123 interactions.
Limitations
The model is not complete and requires further refinement and inclusion of additional receptors and pathways.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website