An RNA-Seq analysis of Francisella tularensis LVS transcriptional shifts at early time points during in vitro infections
PLoS One
Abstract not provided.
Publications
Enriching pathogen transcripts from infected samples: A capture-based approach to enhanced host–pathogen RNA sequencing
Analytical Biochemistry
Abstract not provided.
Enriching pathogen transcripts from infected samples :
Abstract not provided.
Enriching pathogen transcripts from infected samples :
Abstract not provided.
LB1 :
Abstract not provided.
Rapid Threat Organism Recognition
Abstract not provided.
Characterization of Pathogens in Clinical Specimens via Suppression of Host Background for Efficient Second Generation Sequencing Analyses
Abstract not provided.
Copy of Automated Molecular Biology Platform Enabling Rapid & Efficient SGS Analysis of Pathogens in Clinical Samples
Abstract not provided.
Automated Molecular Biology Platform Enabling Rapid & Efficient SGS Analysis of Pathogens in Clinical Samples
Abstract not provided.
Negative capture combined with HAC normalization for selective enrichment of pathogen-derived nucleic acids in clinical samples
Abstract not provided.
Tailoring Next-Generation Biofuels and their Combustion in Next-Generation Engines
Abstract not provided.
Tailoring Next-generation Biofuels and their combustion in Next-generation Engines
Abstract not provided.
"Trojan Horse" strategy for deconstruction of biomass for biofuels production
Production of renewable biofuels to displace fossil fuels currently consumed in the transportation sector is a pressing multi-agency national priority. Currently, nearly all fuel ethanol is produced from corn-derived starch. Dedicated 'energy crops' and agricultural waste are preferred long-term solutions for renewable, cheap, and globally available biofuels as they avoid some of the market pressures and secondary greenhouse gas emission challenges currently facing corn ethanol. These sources of lignocellulosic biomass are converted to fermentable sugars using a variety of chemical and thermochemical pretreatments, which disrupt cellulose and lignin cross-links, allowing exogenously added recombinant microbial enzymes to more efficiently hydrolyze the cellulose for 'deconstruction' into glucose. This process is plagued with inefficiencies, primarily due to the recalcitrance of cellulosic biomass, mass transfer issues during deconstruction, and low activity of recombinant deconstruction enzymes. Costs are also high due to the requirement for enzymes and reagents, and energy-intensive and cumbersome pretreatment steps. One potential solution to these problems is found in synthetic biology; they propose to engineer plants that self-produce a suite of cellulase enzymes targeted to the apoplast for cleaving the linkages between lignin and cellulosic fibers; the genes encoding the degradation enzymes, also known as cellulases, are obtained from extremophilic organisms that grow at high temperatures (60-100 C) and acidic pH levels (<5). These enzymes will remain inactive during the life cycle of the plant but become active during hydrothermal pretreatment i.e., elevated temperatures. Deconstruction can be integrated into a one-step process, thereby increasing efficiency (cellulose-cellulase mass-transfer rates) and reducing costs. The proposed disruptive technologies address biomass deconstruction processes by developing transgenic plants encoding a suite of enzymes used in cellulosic deconstruction. The unique aspects of this technology are the rationally engineered, highly productive extremophilic enzymes, targeted to specific cellular locations (apoplast) and their dormancy during normal plant proliferation, which become Trojan horses during pretreatment conditions. They have been leveraging established Sandia's enzyme-engineering and imaging capabilities. Their technical approach not only targets the recalcitrance and mass-transfer problem during biomass degradation but also eliminates the costs associated with industrial-scale production of microbial enzymes added during processing.
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