We aim to tackle fundamental questions to uncover the basic design principles of biological signaling.
Select Paper: Venturelli OS, Zuleta IA, Murray RM, El-Samad H. Population diversification in a metabolic program promotes anticipation of environmental shifts. PLoS Biology, in press.
To obtain higher resolution on the molecular mechanisms underlying cellular signaling, we are developing and applying quantitative perturbative and measurement tools.
Select Paper: Milias-Argeitis A, Summers S, Stewart-Ornstein J, Zuleta I, Pincus D, El-Samad H, Khammash M, Lygeros J. In silico feedback for in vivo regulation of a gene expression circuit. Nat 22057053.
To further lend intuition on complicated biological processes we develop and employ mathematical modeling tools to inform testable hypotheses and uncover predictable structure in high dimensional data.
Select Paper: Lipinski-Kruszka J, Stewart-Ornstein J, Chevalier MW, El-Samad H. Using Dynamic Noise Propagation to Infer Causal Regulatory Relationships in Biochemical Networks. ACS Synth Biol. 2014 Jul 11. [Epub ahead of print] PubMed PMID: 24967515.