The Problem
Current cell-cell communication tools only scratch the surface.
They focus on simple ligand-receptor interactions and ignore the downstream activation processes that drive disease.
This leaves researchers blind to the mechanistic insights needed to develop breakthrough therapies.
The Solution
DecipherC2C – builds integrated signaling networks from single-cell profiles.
Unlike other tools that stop at surface interactions….. DecipherC2C traces the entire signaling cascade…..
….. from ligand-receptor binding through to transcription factors to target genes — revealing deep, mechanistic insights into disease pathogenesis.
What DecipherC2C has to offer
Complete Mechanistic Insights
- Maps full signaling cascade from ligand-receptor binding to gene expression
- Builds tailored networks for each cell type and condition
- Identifies previously unknown signaling mechanisms
Accelerated Drug Discovery
- Pinpoints specific molecular targets for intervention
- Reveals how potential drugs affect cellular networks
- Identifies key signatures for patient stratification
Superior Performance
- Outperforms existing methods in predicting cytokine activity
- Consistently prioritizes same pathways across analyses
- Generates clear, actionable visualizations
DecipherC2C – How does it work?
Between cells: Builds ligand–receptor mediated cell-to-cell communication networks
Within cells: Constructs gene regulatory networks linking transcription factors (TFs) to target genes (TGs)
Integration: Identifies ligand–receptor signals that directly predict the activity of these TF–TG networks
Breakthrough applications
Infectious Disease
- Identified novel inflammatory monocyte populations driving vaccine responses
- Revealed loss of interferon signaling in severe disease progression
- Discovered stress response pathways as therapeutic targets
Autoimmune diseases
- Map dysregulated immune cell communication
- Identify intervention points in inflammatory cascades
- Develop personalized treatment strategies
Cancer Immunotherapy
- Understand tumor-immune cell interactions
- Identify resistance mechanisms to immunotherapy
- Discover combination therapy opportunities
Proven Success Stories
Unlock MoA of the Pfizer-BioNTech COVID-19 Vaccine
“Decipher revealed the upstream signals driving a critical monocyte population post-vaccination, identifying SLAMF7, CCL2, and interferon gamma as key regulatory pathways.”
COVID-19 Severity Prediction
“The platform identified transcriptional signatures distinguishing mild from severe disease, revealing loss of interferon signaling and gain of stress response factors in severe cases.”
Why DecipherC2C Changes Everything
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Ready to Transform Your Research?
Contact our team to schedule a demo and see how DecipherC2C can unlock the therapeutic potential hidden in your single-cell data.
Schedule your free discovery call here
Contact us at info@insigene.com
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