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A Microfluidic DNA Library Preparation Platform for Next-Generation Sequencing

PLoS ONE

Kim, Hanyoup; Jebrail, Mais J.; Sinha, Anupama; Bent, Zachary; Solberg, Owen D.; Williams, Kelly P.; Langevin, Stanley A.; Renzi, Ronald F.; Van De Vreugde, James L.; Meagher, Robert M.; Schoeniger, Joseph S.; Lane, Todd; Branda, Steven; Bartsch, Michael S.; Patel, Kamlesh D.

Next-generation sequencing (NGS) is emerging as a powerful tool for elucidating genetic information for a wide range of applications. Unfortunately, the surging popularity of NGS has not yet been accompanied by an improvement in automated techniques for preparing formatted sequencing libraries. To address this challenge, we have developed a prototype microfluidic system for preparing sequencer-ready DNA libraries for analysis by Illumina sequencing. Our system combines droplet-based digital microfluidic (DMF) sample handling with peripheral modules to create a fully-integrated, sample-in library-out platform. In this report, we use our automated system to prepare NGS libraries from samples of human and bacterial genomic DNA. E. coli libraries prepared on-device from 5 ng of total DNA yielded excellent sequence coverage over the entire bacterial genome, with >99% alignment to the reference genome, even genome coverage, and good quality scores. Furthermore, we produced a de novo assembly on a previously unsequenced multi-drug resistant Klebsiella pneumoniae strain BAA-2146 (KpnNDM). The new method described here is fast, robust, scalable, and automated. Our device for library preparation will assist in the integration of NGS technology into a wide variety of laboratories, including small research laboratories and clinical laboratories. © 2013 Kim et al.

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Peregrine: A rapid and unbiased method to produce strand-specific RNA-Seq libraries from small quantities of starting material

RNA Biology

Langevin, Stanley A.; Bent, Zachary; Solberg, Owen D.; Curtis, Deanna J.; Lane, Pamela; Williams, Kelly P.; Schoeniger, Joseph S.; Lane, Todd; Sinha, Anupama

Use of second generation sequencing (SGS) technologies for transcriptional profiling (RNA-Seq) has revolutionized transcriptomics, enabling measurement of RNA abundances with unprecedented specificity and sensitivity and the discovery of novel RNA species. Preparation of RNA-Seq libraries requires conversion of the RNA starting material into cDNA flanked by platform-specific adaptor sequences. Each of the published methods and commercial kits currently available for RNA-Seq library preparation suffers from at least one major drawback, including long processing times, large starting material requirements, uneven coverage, loss of strand information and high cost. We report the development of a new RNA-Seq library preparation technique that produces representative, strand-specific RNA-Seq libraries from small amounts of starting material in a fast, simple and cost-effective manner. Additionally, we have developed a new quantitative PCR-based assay for precisely determining the number of PCR cycles to perform for optimal enrichment of the final library, a key step in all SGS library preparation workflows. © 2013 Landes Bioscience.

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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.

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.

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.

Quantitative laboratory measurements of biogeochemical processes controlling biogenic calcite carbon sequestration

Lane, Pamela; Lane, Todd; Zendejas, Frank Z.

The purpose of this LDRD was to generate data that could be used to populate and thereby reduce the uncertainty in global carbon cycle models. These efforts were focused on developing a system for determining the dissolution rate of biogenic calcite under oceanic pressure and temperature conditions and on carrying out a digital transcriptomic analysis of gene expression in response to changes in pCO2, and the consequent acidification of the growth medium.

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Accurate measurement of cellular autofluorescence is critical for imaging of host-pathogen interactions

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Timlin, Jerilyn A.; Noek, Rachel M.; Kaiser, Julia N.; Sinclair, Michael B.; Jones, Howland D.T.; Davis, Ryan W.; Lane, Todd

Cellular autofluorescence, though ubiquitous when imaging cells and tissues, is often assumed to be small in comparison to the signal of interest. Uniform estimates of autofluorescence intensity obtained from separate control specimens are commonly employed to correct for autofluorescence. While these may be sufficient for high signal-to-background applications, improvements in detector and probe technologies and introduction of spectral imaging microscopes have increased the sensitivity of fluorescence imaging methods, exposing the possibility of effectively probing the low signal-to-background regime. With spectral imaging, reliable monitoring of signals near or even below the noise levels of the microscope is possible if autofluorescence and background signals can be accurately compensated for. We demonstrate the importance of accurate autofluorescence determination and utility of spectral imaging and multivariate analysis methods using a case study focusing on fluorescence confocal spectral imaging of host-pathogen interactions. In this application fluorescent proteins are produced when bacteria invade host cells. Unfortunately the analyte signal is spectrally overlapped and typically weaker than the cellular autofluorescence. In addition to discussing the advantages of spectral imaging for following pathogen invasion, we present the spectral properties of mouse macrophage autofluorescence. The imaging and analysis methods developed are widely applicable to cell and tissue imaging. © 2008 Copyright SPIE - The International Society for Optical Engineering.

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Identification of viruses using microfluidic protein profiling and bayesian classification

Analytical Chemistry

Fruetel, Julia A.; West, Jason A.A.; Debusschere, Bert; Hukari, Kyle; Lane, Todd; Najm, Habib N.; Ortega, Jose; Renzi, Ronald F.; Shokair, Isaac R.; Vandernoot, Victoria A.

We present a rapid method for the identification of viruses using microfluidic chip gel electrophoresis (CGE) of high-copy number proteins to generate unique protein profiles. Viral proteins are solubilized by heating at 95°C in borate buffer containing detergent (5 min), then labeled with fluorescamine dye (10 s), and analyzed using the μChemLab CGE system (5 min). Analyses of closely related T2 and T4 bacteriophage demonstrate sufficient assay sensitivity and peak resolution to distinguish the two phage. CGE analyses of four additional viruses - MS2 bacteriophage, Epstein - Barr, respiratory syncytial, and vaccinia viruses - demonstrate reproducible and visually distinct protein profiles. To evaluate the suitability of the method for unique identification of viruses, we employed a Bayesian classification approach. Using a subset of 126 replicate electropherograms of the six viruses and phage for training purposes, successful classification with non-training data was 66/69 or 95% with no false positives. The classification method is based on a single attribute (elution time), although other attributes such as peak width, peak amplitude, or peak shape could be incorporated and may improve performance further. The encouraging results suggest a rapid and simple way to identify viruses without requiring specialty reagents such as PCR probes and antibodies. © 2008 American Chemical Society.

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Hyperspectral imaging of oil producing microalgae under thermal and nutritional stress

Powell, Amy J.; Davis, Ryan W.; Lane, Todd; Lane, Pamela; Keenan, Michael R.; Van Benthem, Mark H.

This short-term, late-start LDRD examined the effects of nutritional deprivation on the energy harvesting complex in microalgae. While the original experimental plan involved a much more detailed study of temperature and nutrition on the antenna system of a variety of TAG producing algae and their concomitant effects on oil production, time and fiscal constraints limited the scope of the study. This work was a joint effort between research teams at Sandia National Laboratories, New Mexico and California. Preliminary results indicate there is a photosystem response to silica starvation in diatoms that could impact the mechanisms for lipid accumulation.

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Results 101–150 of 168
Results 101–150 of 168