Session 27: Synthetic biology tools and applications
Wednesday, July 27, 2016: 8:00 AM-11:30 AM
Waterbury, 2nd Fl (Sheraton New Orleans)
Conveners:
Howard Salis - Penn State University and Emily Leproust - Twist Bioscience
The field of Synthetic Biology provides foundational technologies to design and build large genetic systems faster, cheaper, and more reliably, including high-throughput metabolite sensors, multi-enzyme pathways, multi-regulator genetic circuits, and customized genomes. This session will highlight state-of-the-art advances in several technology areas, including DNA synthesis, DNA assembly, genome editing, genome assembly, system-wide modeling, pathway mapping, rational design, data-driven learning, and the integration of experimental and computational workflows. Such technologies have already increased the breadth of metabolic engineering products that can be pursued within reasonable periods of time, and will continue to lower the cost-to-success and time-to-success for each metabolic engineering product.
8:00 AM
S145
General purposing synthetic biology:  A BioFoundry in a box
Eileen Spindler, Director of R&D Innovation, Muse Bio, Boulder, CO
8:30 AM
S146
Bacterial genome editing with CRISPR-Cas9: deletion, integration, single nucleotide modification, and desirable ‘clean’ mutant selection
Yi Wang1, Zhong-Tian Zhang1, Seung-Oh Seo2, Patrick Lynn3, Dr. Ting Lu4, Dr. Yong-Su Jin2 and Dr. Hans P. Blaschek5, (1)Biosystems engineering, Auburn University, Auburn, AL, (2)Department of Food Science and Human Nutrition, and Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, (3)Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, (4)Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, (5)The Integrated Bioprocessing Research Laboratory (IBRL), University of Illinois at Urbana-Champaign, Urbana, IL
9:00 AM
S147
Pooled genomic library assembly, sequencing and scoring for multi-objective phenotype optimization
Robert Egbert1, Eric Yu2 and Prof. Adam Arkin1, (1)Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, (2)Bioengineering, University of California Berkeley, Berkeley, CA
9:30 AM
Break, Grand Ballroom Foyer 5th Fl
10:00 AM
S148
Designer biosensors that respond to new small molecules
Srivatsan Raman, Department of Biochemistry, University of Wisconsin-Madison, Madison, WI
10:30 AM
S149
Model-based design of a sensor-circuit for autonomous control of biosynthesis pathways
Tian Tian, Biological Engineering, Penn State Univ, University Park, PA and Howard Salis, Chemical Engineering / Biological Engineering, Penn State University, University Park, PA
11:00 AM
S150
Microbial population quality control for enhanced chemical production
Fuzhong Zhang, Department of Energy, Environmental, and Chemical Engineering, Washington University in St. Louis, St. Louis, MO
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