A5005139220- Microbial Metabolic Engineering and Bioproduction
- Computational Drug Discovery Methods
- Microbial Natural Products and Biosynthesis
- Atmospheric and Environmental Gas Dynamics
- Microbial metabolism and enzyme function
- Bioinformatics and Genomic Networks
- Hydrocarbon exploration and reservoir analysis
- Petroleum Processing and Analysis
- Carbon Dioxide Capture Technologies
- Biofuel production and bioconversion
- RNA and protein synthesis mechanisms
- Viral Infectious Diseases and Gene Expression in Insects
- Animal Genetics and Reproduction
- CRISPR and Genetic Engineering
- Microbial bioremediation and biosurfactants
- Methane Hydrates and Related Phenomena
- Gene Regulatory Network Analysis
- Enzyme Catalysis and Immobilization
- Reservoir Engineering and Simulation Methods
- Anaerobic Digestion and Biogas Production
LanzaTech (New Zealand)
2024
University of Washington
2021-2023
Amyris (United States)
2016-2023
University of Minnesota
2017-2018
Twin Cities Orthopedics
2017-2018
The rapid increase of the potent greenhouse gas methane in atmosphere creates great urgency to develop and deploy technologies for mitigation. One approach removing is use bacteria which their carbon energy source (methanotrophs). Such naturally convert CO 2 biomass, a value-added product cobenefit removal. Typically, methanotrophs grow best at around 5,000 10,000 ppm methane, but 1.9 ppm. Air above emission sites such as landfills, anaerobic digestor effluents, rice paddy oil wells contains...
Abstract Engineering microbes to synthesize molecules of societal value has historically been a time consuming and artisanal process, with the synthesis each new non-native molecule typically warranting its own separate publication. Because most microbial strain engineering efforts leverage finite number common metabolic design tactics, we reasoned that automating these steps would help create pipeline can quickly, cheaply, reliably generate so-called factories. In this work describe...
Engineering microorganisms into biological factories that convert renewable feedstocks valuable materials is a major goal of synthetic biology; however, for many nonmodel organisms, we do not yet have the genetic tools, such as suites strong promoters, necessary to effectively engineer them. In this work, developed computational framework can leverage standard RNA-seq data sets identify constitutive, strongly expressed genes and predict promoter signals within their upstream regions. The was...
Chemical-genetic interactions-observed when the treatment of mutant cells with chemical compounds reveals unexpected phenotypes-contain rich functional information linking to their cellular modes action. To systematically identify these interactions, an array mutants is challenged a compound and monitored for fitness defects, generating chemical-genetic interaction profile that provides quantitative, unbiased description function(s) perturbed by compound. Genetic obtained from genome-wide...
CH 4 emissions have contributed ~30% of global warming to date [1], and natural sources may increase via
We describe here the Genotype Specification Language (GSL), a language that facilitates rapid design of large and complex DNA constructs used to engineer genomes. The GSL compiler implements high-level based on traditional genetic notation, as well set low-level manipulation primitives. allows facile incorporation parts from library cloned "natural" in fully sequenced annotated was designed engage engineers their native while providing framework for higher level abstract tooling. To this end...
Abstract Chemical-genetic interactions – observed when the treatment of mutant cells with chemical compounds reveals unexpected phenotypes contain rich functional information linking to their cellular modes action. To systematically identify these interactions, an array mutants is challenged a compound and monitored for fitness defects, generating chemical-genetic interaction profile that provides quantitative, unbiased description function(s) perturbed by compound. Genetic obtained from...
Abstract Chemical-genetic approaches offer the potential for unbiased functional annotation of chemical libraries. Mutations can alter response cells to a compound, revealing chemical-genetic interactions that elucidate compound’s mode action. We developed highly parallel and yeast screening system involving three key components. First, in drug-sensitive genetic background, we constructed an optimized, diagnostic mutant collection is predictive all major biological processes. Second,...