Rapid, Reliable and Repeatable Platforms for Cell-Free Prototyping
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We are working with Synvitrobio, Inc. to develop and commercialize a cell-free platform that that emulates the in vivo environment and allows for rapid, low-cost, high-throughput, and reproducible prototyping of complex biomolecular networks. Achieving this goal will accelerate predictive and rational engineering of biology by providing an intermediary environment between design and execution.
Work at Caltech is focused on the following areas:
- Reduce variability of output data from the cell-free experts by analyzing sources of variability and developing methods of calibrating cell-free data sets
- Explore the use of lyophilized extracts and buffers for long-term storage.
- A MATLAB toolbox for modeling genetic circuits in cell-free systems. Vipul Singhal, Zoltan A. Tuza, Zachary Z. Sun, Richard M. Murray. Synthetic Biology, 6(1):ysab007, 2021.
- Cell-Free Extract Data Variability Reduction in the Presence of Structural Non-Identifiability. Vipul Singhal and Richard M. Murray. Submitted, 2019 American Control Conference (ACC).