Multiscale Network Biology
The lab uses computational and experimental methods to understand how mammalian cell signaling and regulation integrate across multiple scales, from the molecular to whole-body level. We combine multiplexed measurements with in vivo imaging and systems-level mathematical modeling to distill principles of cellular communication. We particularly focus on inflammation and cancer, where abnormal signals in multiple cell types promote disease progression and are therapeutically targeted.
We pursue several major goals:
- Understand how regulation at the molecular and cellular level influence global control.
- Translate network analysis into clinically useful information, such as diagnosis, classification, and prediction of drug response.
- Use engineered materials such as nanoparticles to probe and therapeutically exploit multiscale regulation.
Key approaches include the following:
- Multiplexed monitoring of signaling pathways and transcriptional states to dissect network topology.
- Imaging the disease microenvironment to quantify interaction between cell states and soluble signaling factors, microvesicles, and microanatomical structures.
- Whole-body MR, nuclear, and optical imaging for tissue- and organ-level analysis.
- Machine-learning techniques to integrate and interpret complex data-sets across multiple platforms.
- Materials-enabled strategies for selective manipulation of cell behavior at multiple scales.
Our interdisciplinary approach benefits from close collaboration — including with other groups in CSB — to successfully marry computational analyses with appropriate experimental measurements and models of disease.