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Dive into the research topics where Timothy S. Ham is active.

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Featured researches published by Timothy S. Ham.


Nature | 2006

Production of the antimalarial drug precursor artemisinic acid in engineered yeast

Dae-Kyun Ro; Eric M. Paradise; Mario Ouellet; Karl J. Fisher; Karyn L. Newman; John M. Ndungu; Kimberly Ho; Rachel Eachus; Timothy S. Ham; James Kirby; Michelle C. Y. Chang; Sydnor T. Withers; Yoichiro Shiba; Richmond Sarpong; Jay D. Keasling

Malaria is a global health problem that threatens 300–500 million people and kills more than one million people annually. Disease control is hampered by the occurrence of multi-drug-resistant strains of the malaria parasite Plasmodium falciparum. Synthetic antimalarial drugs and malarial vaccines are currently being developed, but their efficacy against malaria awaits rigorous clinical testing. Artemisinin, a sesquiterpene lactone endoperoxide extracted from Artemisia annua L (family Asteraceae; commonly known as sweet wormwood), is highly effective against multi-drug-resistant Plasmodium spp., but is in short supply and unaffordable to most malaria sufferers. Although total synthesis of artemisinin is difficult and costly, the semi-synthesis of artemisinin or any derivative from microbially sourced artemisinic acid, its immediate precursor, could be a cost-effective, environmentally friendly, high-quality and reliable source of artemisinin. Here we report the engineering of Saccharomyces cerevisiae to produce high titres (up to 100 mg l-1) of artemisinic acid using an engineered mevalonate pathway, amorphadiene synthase, and a novel cytochrome P450 monooxygenase (CYP71AV1) from A. annua that performs a three-step oxidation of amorpha-4,11-diene to artemisinic acid. The synthesized artemisinic acid is transported out and retained on the outside of the engineered yeast, meaning that a simple and inexpensive purification process can be used to obtain the desired product. Although the engineered yeast is already capable of producing artemisinic acid at a significantly higher specific productivity than A. annua, yield optimization and industrial scale-up will be required to raise artemisinic acid production to a level high enough to reduce artemisinin combination therapies to significantly below their current prices.


Current Opinion in Biotechnology | 2008

Metabolic engineering of microorganisms for biofuels production: from bugs to synthetic biology to fuels.

Sung Kuk Lee; Howard H. Chou; Timothy S. Ham; Taek Soon Lee; Jay D. Keasling

The ability to generate microorganisms that can produce biofuels similar to petroleum-based transportation fuels would allow the use of existing engines and infrastructure and would save an enormous amount of capital required for replacing the current infrastructure to accommodate biofuels that have properties significantly different from petroleum-based fuels. Several groups have demonstrated the feasibility of manipulating microbes to produce molecules similar to petroleum-derived products, albeit at relatively low productivity (e.g. maximum butanol production is around 20 g/L). For cost-effective production of biofuels, the fuel-producing hosts and pathways must be engineered and optimized. Advances in metabolic engineering and synthetic biology will provide new tools for metabolic engineers to better understand how to rewire the cell in order to create the desired phenotypes for the production of economically viable biofuels.


PLOS ONE | 2008

Design and Construction of a Double Inversion Recombination Switch for Heritable Sequential Genetic Memory

Timothy S. Ham; Sung Kuk Lee; Jay D. Keasling; Adam P. Arkin

Background Inversion recombination elements present unique opportunities for computing and information encoding in biological systems. They provide distinct binary states that are encoded into the DNA sequence itself, allowing us to overcome limitations posed by other biological memory or logic gate systems. Further, it is in theory possible to create complex sequential logics by careful positioning of recombinase recognition sites in the sequence. Methodology/Principal Findings In this work, we describe the design and synthesis of an inversion switch using the fim and hin inversion recombination systems to create a heritable sequential memory switch. We have integrated the two inversion systems in an overlapping manner, creating a switch that can have multiple states. The switch is capable of transitioning from state to state in a manner analogous to a finite state machine, while encoding the state information into DNA. This switch does not require protein expression to maintain its state, and “remembers” its state even upon cell death. We were able to demonstrate transition into three out of the five possible states showing the feasibility of such a switch. Conclusions/Significance We demonstrate that a heritable memory system that encodes its state into DNA is possible, and that inversion recombination system could be a starting point for more complex memory circuits. Although the circuit did not fully behave as expected, we showed that a multi-state, temporal memory is achievable.


Nucleic Acids Research | 2012

Design, implementation and practice of JBEI-ICE: An open source biological part registry platform and tools

Timothy S. Ham; Zinovii Dmytriv; Hector Plahar; Joanna Chen; Nathan J. Hillson; Jay D. Keasling

The Joint BioEnergy Institute Inventory of Composable Elements (JBEI-ICEs) is an open source registry platform for managing information about biological parts. It is capable of recording information about ‘legacy’ parts, such as plasmids, microbial host strains and Arabidopsis seeds, as well as DNA parts in various assembly standards. ICE is built on the idea of a web of registries and thus provides strong support for distributed interconnected use. The information deposited in an ICE installation instance is accessible both via a web browser and through the web application programming interfaces, which allows automated access to parts via third-party programs. JBEI-ICE includes several useful web browser-based graphical applications for sequence annotation, manipulation and analysis that are also open source. As with open source software, users are encouraged to install, use and customize JBEI-ICE and its components for their particular purposes. As a web application programming interface, ICE provides well-developed parts storage functionality for other synthetic biology software projects. A public instance is available at public-registry.jbei.org, where users can try out features, upload parts or simply use it for their projects. The ICE software suite is available via Google Code, a hosting site for community-driven open source projects.


Journal of Biological Engineering | 2012

DeviceEditor visual biological CAD canvas

Joanna Chen; Douglas Densmore; Timothy S. Ham; Jay D. Keasling; Nathan J. Hillson

BackgroundBiological Computer Aided Design (bioCAD) assists the de novo design and selection of existing genetic components to achieve a desired biological activity, as part of an integrated design-build-test cycle. To meet the emerging needs of Synthetic Biology, bioCAD tools must address the increasing prevalence of combinatorial library design, design rule specification, and scar-less multi-part DNA assembly.ResultsWe report the development and deployment of web-based bioCAD software, DeviceEditor, which provides a graphical design environment that mimics the intuitive visual whiteboard design process practiced in biological laboratories. The key innovations of DeviceEditor include visual combinatorial library design, direct integration with scar-less multi-part DNA assembly design automation, and a graphical user interface for the creation and modification of design specification rules. We demonstrate how biological designs are rendered on the DeviceEditor canvas, and we present effective visualizations of genetic component ordering and combinatorial variations within complex designs.ConclusionsDeviceEditor liberates researchers from DNA base-pair manipulation, and enables users to create successful prototypes using standardized, functional, and visual abstractions. Open and documented software interfaces support further integration of DeviceEditor with other bioCAD tools and software platforms. DeviceEditor saves researcher time and institutional resources through correct-by-construction design, the automation of tedious tasks, design reuse, and the minimization of DNA assembly costs.


Biotechnology and Bioengineering | 2006

A tightly regulated inducible expression system utilizing the fim inversion recombination switch

Timothy S. Ham; Sung Kuk Lee; Jay D. Keasling; Adam P. Arkin


Archive | 2006

Polynucleotides encoding isoprenoid modifying enzymes and methods of use thereof

Dae-Kyun Ro; Karyn L. Newman; Eric M. Paradise; Jay D. Keasling; Mario Ouellet; Rachel Eachus; Kimberly Ho; Timothy S. Ham


Archive | 2011

Title: Synthetic Biology Open Language (SBOL) Version 1.0.0

Anil Wipat; Alan Villalobos; Guy-Bart Stan; Trevor Smith; Herbert M. Sauro; Nicholas Roehner; Matthew Pocock; Hector Plahar; Jean Peccoud; Chris J. Myers; Goksel Misirli; Curtis Madsen; Matthew W. Lux; Allan Kuchinsky; Timothy S. Ham; Raik Grünberg; John H. Gennari; Drew Endy; Omri Drory; Douglas Densmore; Deepak Chandran; Jacob Beal; J. Christopher Anderson; Aaron Adler; Laura Adam; Cesar Rodriguez; Mandy L. Wilson; Michal Galdzicki


Archive | 2009

The Fuels Synthesis Division of the Joint BioEnergy Institute (JBEI)

Edward E. K. Baidoo; Harry R. Beller; Rossana Chan; Swapnil Chhabra; Howard H. Chou; Robert H. Dahl; Z. Dmytriv; Mary J. Dunlop; C. Fortman; David E. Garcia; Hector Garcia Martin; J. Gilmore; Jennifer Gin; Ee-Been Goh; John Haliburton; Timothy S. Ham; Chijioke J. Joshua; Yisheng Kang; Rachel A. Krupa; Sung Kuk Lee; Taek Soon Lee; C. Liu; Adrienne E. McKee; Aindrila Mukhopadhyay; Farnaz Nowroozi; Mario Ouellet; Pamela Peralta-Yahya; Nilu Prasad; Sarah Hilkert Rodriguez; Becky J. Rutherford


Archive | 2006

Isoprenoidmodifizierende Enzyme codierende Polynucleotide und Anwendungsverfahren dafür

Dae-Kyun Ro; Karyn L. Newman; Eric M. Paradise; Jay D. Keasling; Mario Ouellet; Rachel Eachus; Kimberly Ho; Timothy S. Ham

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Sung Kuk Lee

University of California

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Mario Ouellet

Lawrence Berkeley National Laboratory

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Adam P. Arkin

Lawrence Berkeley National Laboratory

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Kimberly Ho

University of California

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Rachel Eachus

University of California

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