Rapid, Reliable and Repeatable Platforms for Cell-Free Prototyping: Difference between revisions
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We are working with [http://synvitrobio.com 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. | |||
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=== Objectives === | === Objectives === | ||
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. | |||
=== References === | === References === | ||
Revision as of 17:41, 15 June 2016
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.
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Current participants: Additional participants: |
Collaborators: Past participants:
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Objectives
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.
References
- 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).
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