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Screening Bioactive Nanoparticles in Phagocytic Immune Cells for Inhibitors of Toll-like Receptor Signaling
Published on: July 26, 2017
Controlling the outcome of the Toll-like receptor signaling pathways
Guilhem Richard1, Calin Belta, A Agung Julius
1Program in Bioinformatics, Boston University, Boston, Massachusetts, United States of America.
Abstract:
The Toll-Like Receptors (TLRs) are proteins involved in the immune system that increase cytokine levels when triggered. While cytokines coordinate the response to infection, they appear to be detrimental to the host when reaching too high levels. Several studies have shown that the deletion of specific TLRs was beneficial for the host, as cytokine levels were decreased consequently. It is not clear, however, how targeting other components of the TLR pathways can improve the responses to infections. We applied the concept of Minimal Cut Sets (MCS) to the ihsTLR v1.0 model of the TLR pathways to determine sets of reactions whose knockouts disrupt these pathways. We decomposed the TLR network into 34 modules and determined signatures for each MCS, i.e. the list of targeted modules. We uncovered 2,669 MCS organized in 68 signatures. Very few MCS targeted directly the TLRs, indicating that they may not be efficient targets for controlling these pathways. We mapped the species of the TLR network to genes in human and mouse, and determined more than 10,000 Essential Gene Sets (EGS). Each EGS provides genes whose deletion suppresses the network's outputs.
Insights
Targeting Toll-Like Receptors (TLRs) pathways, not just TLRs themselves, can control immune responses. Minimal Cut Sets analysis identified essential gene sets for disrupting these pathways, offering new therapeutic strategies.
Area of Science:
- Immunology
- Systems Biology
- Computational Biology
Background:
- Toll-Like Receptors (TLRs) are crucial immune proteins that regulate cytokine production.
- Elevated cytokine levels can be detrimental, necessitating strategies to control TLR pathway activity.
- While deleting TLRs can reduce cytokine levels, targeting other pathway components remains less understood.
Purpose of the Study:
- To identify critical targets within Toll-Like Receptor (TLR) pathways for controlling immune responses.
- To apply Minimal Cut Sets (MCS) analysis to a TLR pathway model (ihsTLR v1.0) for identifying reaction knockouts.
- To determine Essential Gene Sets (EGS) for suppressing TLR network outputs.
Main Methods:
- Utilized the Minimal Cut Sets (MCS) concept on the ihsTLR v1.0 model.
- Decomposed the TLR network into 34 functional modules.
- Mapped TLR network species to human and mouse genes to identify Essential Gene Sets (EGS).
Main Results:
- Identified 2,669 MCS organized into 68 distinct signatures.
- Discovered that very few MCS directly targeted TLRs, suggesting limited efficacy of direct TLR targeting.
- Uncovered over 10,000 Essential Gene Sets (EGS) in human and mouse, representing potential targets for pathway disruption.
Conclusions:
- Direct targeting of Toll-Like Receptors (TLRs) may not be the most effective strategy for controlling immune responses.
- Minimal Cut Sets (MCS) analysis reveals alternative targets within TLR pathways.
- Essential Gene Sets (EGS) offer a comprehensive resource for developing novel therapeutic interventions against TLR-mediated inflammation.
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