Difference between revisions of "David Garcia, 13 Feb 2020"
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=== Seminar ===
=== Seminar ===
Revision as of 21:26, 10 February 2020
David Garcia, a PhD student working at Oak Ridge National Laboratory (ORNL) will visit Caltech on 13 Feb (Thu). If you would like to meet with him, sign up here (using your IMSS credentials).
- 9:15 am: Richard (107 Steele Lab)
- 10:00 am: Seminar
- 11:00 am: Open
- 11:45 am: Lunch (Michaelle, Chelsea)
- 1:00 pm: Open
- 1:45 pm: Open
- 2:30 pm: Open
- 3:15 pm: Open
- 4:00 pm: Open
- 4:45 pm: Wrap up meet with Richard
Cell-Free Enabled Bioproduction and Biological Discovery
David Garcia, The University of Tennessee, Knoxville and Oak Ridge National Laboratory
111 Keck or 114 Steele for Thu, 10a-11a
As our understanding of the microbial world has progressed, so too has the backlog of information and open questions generated from the thousands uncharacterized proteins and metabolites with potential applications as biofuels, therapeutics, and biomaterials. To address this problem, new tools need to be developed in order to rapidly test and take advantage of uncharacterized proteins and metabolites. Cell-free systems have developed into a high-throughput and scalable tool for synthetic biology and metabolic engineering with applications across multiple disciplines. The work presented in this talk leverages cell-free systems as a conduit for the exploration of protein function and metabolite production using two complementary approaches. The first elucidates interaction networks associated with secondary metabolite production using a computationally assisted pathway description pipeline that employs bioinformatic searches of genome databases, structural modeling, and ligand-docking simulations to predict the gene products most likely to be involved in a metabolic pathway. In vitro reconstructions of the pathway are then modularly assembled and chemically verified in Escherichia coli lysates in order to differentiate between active and inactive pathways. The second takes a systems and synthetic biology approach to engineer E. coli extracts capable of directing flux towards specific metabolites. Using growth and genome engineering-based methods, we produced cell-free proteomes capable of creating unconventional metabolic states with minimal impact on the cell in vivo. As a result of this work, we have significantly expanded our ability to use cell extracts outside of their native context to solve metabolic engineering problems and provide engineers new tools that can rapidly explore the functions of proteins and test novel metabolic pathways.