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Portable diagnostic device for the detection of bacteria in ultra-low resource environemnts

18th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2014

Harper, Jason C.; Finley, Melissa F.; Carson, Bryan; Edwards, Thayne L.; Bachand, George D.; Arndt, William

Anthrax poses a significant threat to National Security as demonstrated by the terrorist attacks targeting the US Postal Service and Hart Building. Anthrax outbreaks commonly occur in livestock. Consequently, Bacillus anthracis is routinely isolated, propagated, and maintained to diagnose the disease. This practice increases laboratories' repositories of the agent, escalating the risk that it can be stolen. We have developed BaDX (2014 R&D100 Awardee), a credit-card sized diagnostic device for use in ultra-low resource environments that is low cost, requires no power, instrumentation or equipment to operate, no cold chain, self-decontaminates post-assay, and is operable by individuals with little/no technical training.

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Characterization of differential toll-like receptor responses below the optical diffraction limit

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Aaron, Jesse S.; Carson, Bryan; Timlin, Jerilyn A.

Many membrane receptors are recruited to specific cell surface domains to form nanoscale clusters upon ligand activation. This step appears to be necessary to initiate cell signaling, including pathways in innate immune system activation. However, virulent pathogens such as Yersinia pestis (the causative agent of plague) are known to evade innate immune detection, in contrast to similar microbes (such as Escherichia coli) that elicit a robust response. This disparity has been partly attributed to the structure of lipopolysaccharides (LPS) on the bacterial cell wall, which are recognized by the innate immune receptor TLR4. It is hypothesized that nanoscale differences exist between the spatial clustering of TLR4 upon binding of LPS derived from Y. pestis and E. coli. Although optical imaging can provide exquisite details of the spatial organization of biomolecules, there is a mismatch between the scale at which receptor clustering occurs (<300 nm) and the optical diffraction limit (>400 nm). The last decade has seen the emergence of super-resolution imaging methods that effectively break the optical diffraction barrier to yield truly nanoscale information in intact biological samples. This study reports the first visualizations of TLR4 distributions on intact cells at image resolutions of <30 nm using a novel, dual-color stochastic optical reconstruction microscopy (STORM) technique. This methodology permits distinction between receptors containing bound LPS from those without at the nanoscale. Importantly, it is also shown that LPS derived from immunostimulatory bacteria result in significantly higher LPS-TLR4 cluster sizes and a nearly twofold greater ligand/receptor colocalization as compared to immunoevading LPS. A dual-color stochastic optical reconstruction microscopy technique is employed to gain insight into the nanoscale organization of the innate immune system receptor TLR4. Data indicate significant changes in TLR4 clustering behavior within the cell membrane in response to immunostimulatory and immunoevading bacterial antigens, thereby shedding light on virulence mechanisms of highly pathogenic microbes such as Yersinia pestis. Copyright © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Characterization of Pathogens in Clinical Specimens via Suppression of Host Background for Efficient Second Generation Sequencing Analyses

Branda, Steven; Jebrail, Mais J.; Van De Vreugde, James L.; Langevin, Stanley A.; Bent, Zachary; Curtis, Deanna J.; Lane, Pamela; Carson, Bryan; La Bauve, Elisa; Patel, Kamlesh; Ricken, Bryce; Schoeniger, Joseph S.; Solberg, Owen D.; Williams, Kelly P.; Misra, Milind; Powell, Amy J.; Pattengale, Nicholas D.; May, Elebeoba; Lane, Todd; Lindner, Duane L.; Young, Malin M.; Vandernoot, Victoria A.; Thaitrong, Numrin; Bartsch, Michael S.; Renzi, Ronald F.; Tran-Gyamfi, Mary; Meagher, Robert M.

Abstract not provided.

Automated Molecular Biology Platform Enabling Rapid & Efficient SGS Analysis of Pathogens in Clinical Samples

Branda, Steven; Jebrail, Mais J.; Van De Vreugde, James L.; Langevin, Stanley A.; Bent, Zachary; Curtis, Deanna J.; Lane, Pamela; Carson, Bryan; La Bauve, Elisa; Patel, Kamlesh; Ricken, Bryce; Schoeniger, Joseph S.; Solberg, Owen D.; Williams, Kelly P.; Misra, Milind; Powell, Amy J.; Pattengale, Nicholas D.; May, Elebeoba; Lane, Todd; Lindner, Duane L.; Young, Malin M.; Vandernoot, Victoria A.; Thaitrong, Numrin; Bartsch, Michael S.; Renzi, Ronald F.; Tran-Gyamfi, Mary; Meagher, Robert M.

Abstract not provided.

Copy of Automated Molecular Biology Platform Enabling Rapid & Efficient SGS Analysis of Pathogens in Clinical Samples

Branda, Steven; Jebrail, Mais J.; Van De Vreugde, James L.; Langevin, Stanley A.; Bent, Zachary; Curtis, Deanna J.; Lane, Pamela; Carson, Bryan; La Bauve, Elisa; Patel, Kamlesh; Ricken, Bryce; Schoeniger, Joseph S.; Solberg, Owen D.; Williams, Kelly P.; Misra, Milind; Powell, Amy J.; Pattengale, Nicholas D.; May, Elebeoba; Lane, Todd; Lindner, Duane L.; Young, Malin M.; Vandernoot, Victoria A.; Thaitrong, Numrin; Bartsch, Michael S.; Renzi, Ronald F.; Tran-Gyamfi, Mary; Meagher, Robert M.

Abstract not provided.

Results 26–50 of 65
Results 26–50 of 65