Cynthia J. Bruckner-Lea

In vitro cell culture infectivity assay for human noroviruses

A 3-dimensional organoid human small intestinal epithelium model was used.

Automated nucleic acid isolation and purification from soil extracts using renewable affinity microcolumns in a sequential injection system

We have combined affinity purification concepts with novel renewable-surface microcolumns in a sequential injection system for the automated and rapid isolation and purification of nucleic acids directly from crude soil extracts. Geobacter chapellii DNA was spiked at femtomolar concentrations into clean solutions or crude soil extracts containing picomolar concentrations of competitive DNA, humic acids and other soluble soil constituents. The 16S rDNA targets (indigenous and spiked) were purified and eluted in less than 20 min in a form suitable for direct polymerase chain reaction (PCR) amplification and detection. The extraction efficiency of the automated system was equivalent to a 4-h batch reaction using identical reagents. The estimated efficiency of isolation and purification was maximally 30% under the conditions employed here, with levels comparable to those obtained with soils/sediments processed by standard techniques, and a detection limit of 1.7 attamoles (10(6) copies) Geobacter target in a soil extract containing a competitive background of 10(9) genomes. This manuscript represents the first report of automated nucleic acid purification from an environmental sample using sequential injection fluidic systems and renewable microcolumn technology, and provides an excellent platform from which to optimize and accelerate the development of an integrated microbial/nucleic acid detector.

Renewable microcolumns for solid-phase nucleic acid separations and analysis from environmental samples

Abstract This article summarizes the convergence of sequential injection–renewable separation columns (SI–RSC) and techniques with nucleic acid analysis at the Pacific Northwest National Laboratory. New renewable microcolumn designs, functional principles and their analytical and practical utility are presented within the context of automated nucleic acid extraction and purification from environmental samples.

Automated Sample Preparation method for suspension arrays using renewable surface separations with multiplexed flow cytometry fluorescence detection

In this paper, we describe a new method of automated sample preparation for multiplexed biological analysis systems that use flow cytometry fluorescence detection. In this approach, color-encoded microspheres derivatized to capture particular biomolecules are temporarily trapped in a renewable surface separation column to enable perfusion with sample and reagents prior to delivery to the detector. This method provides for separation of the biomolecules of interest from other sample matrix components as well as from labeling solutions. After sample preparation, the beads can be released from the renewable surface column and delivered to a flow cytometer for direct on-bead analysis one bead at a time. Using mixtures of color-encoded beads derivatized for various analytes yields suspension arrays for multiplexed analysis. Development of this approach required a new technique for automated capture and release of the color-encoded microspheres within a fluidic system. We developed a method for forming a renewable filter and demonstrate its use for capturing microspheres that are too small to be easily captured in previous flow cells for renewable separation columns. The renewable filter is created by first trapping larger beads in the flow cell, and then smaller beads are captured either within or on top of the bed of larger beads. Both the selective microspheres and filter bed are automatically emplaced and discarded for each sample. A renewable filter created with 19.9 μm beads was used to trap 5.6 μm optically encoded beads with trapping efficiencies of 99%. The larger beads forming the renewable filter did not interfere with the detection of color-encoded 5.6 μm beads by the flow cytometer fluorescence detector. The use of this method was demonstrated with model reactions for a variety of bioanalytical assay types including a one-step capture of a biotinylated label on Lumavidin beads, a two-step sandwich immunoassay, and a one-step DNA binding assay. A preliminary demonstration of multiplexed detection of two analytes using color-encoded beads was also demonstrated. The renewable filter for creating separation columns containing optically encoded beads provides a general platform for coupling renewable surface methods for sample preparation and analyte labeling with flow cytometry detectors for suspension array multiplexed analyses.

Estimated copy number of Bacillus anthracis plasmids pXO1 and pXO2 using digital PCR

We evaluated digital PCR (dPCR) to directly enumerate plasmid and chromosome copies in three strains of Bacillus anthracis. Copy number estimates based on conventional quantitative PCR (qPCR) highlighted the variability of using qPCR to measure copy number whereas estimates based on direct sequencing are comparable to dPCR.

Rapid Multiplexed Flow Cytometric Assay for Botulinum Neurotoxin Detection Using an Automated Fluidic Microbead-Trapping Flow Cell for Enhanced Sensitivity

A bead-based sandwich immunoassay for botulinum neurotoxin serotype A (BoNT/A) has been developed and demonstrated using a recombinant 50 kDa fragment (BoNT/A-HC-fragment) of the BoNT/A heavy chain (BoNT/A-HC) as a structurally valid simulant. Three different anti-BoNT/A antibodies were attached to three different fluorescent dye encoded flow cytometry beads for multiplexing. The assay was conducted in two formats: a manual microcentrifuge tube format and an automated fluidic system format. Flow cytometry detection was used for both formats. The fluidic system used a novel microbead-trapping flow cell to capture antibody-coupled beads with subsequent sequential perfusion of sample, wash, dye-labeled reporter antibody, and final wash solutions. After the reaction period, the beads were collected for analysis by flow cytometry. Sandwich assays performed on the fluidic system gave median fluorescence intensity signals on the flow cytometer that were 2-4 times higher than assays performed manually in the same amount of time. Limits of detection were estimated at 1 pM (approximately 50 pg/mL for BoNT/A-HC-fragment) for the 15 min fluidic assay in buffer.

Assessing the continuum of event-based biosurveillance through an operational lens.

This research follows the Updated Guidelines for Evaluating Public Health Surveillance Systems, Recommendations from the Guidelines Working Group, published by the Centers for Disease Control and Prevention nearly a decade ago. Since then, models have been developed and complex systems have evolved with a breadth of disparate data to detect or forecast chemical, biological, and radiological events that have a significant impact on the One Health landscape. How the attributes identified in 2001 relate to the new range of event-based biosurveillance technologies is unclear. This article frames the continuum of event-based biosurveillance systems (that fuse media reports from the internet), models (ie, computational that forecast disease occurrence), and constructs (ie, descriptive analytical reports) through an operational lens (ie, aspects and attributes associated with operational considerations in the development, testing, and validation of the event-based biosurveillance methods and models and their use in an operational environment). A workshop was held in 2010 to scientifically identify, develop, and vet a set of attributes for event-based biosurveillance. Subject matter experts were invited from 7 federal government agencies and 6 different academic institutions pursuing research in biosurveillance event detection. We describe 8 attribute families for the characterization of event-based biosurveillance: event, readiness, operational aspects, geographic coverage, population coverage, input data, output, and cost. Ultimately, the analyses provide a framework from which the broad scope, complexity, and relevant issues germane to event-based biosurveillance useful in an operational environment can be characterized.

Strategies for automated sample preparation, nucleic acid purification, and concentration of low-target-number nucleic acids in environmental and food processing samples

The purpose of this work is to develop a rapid, automated system for nucleic acid purification and concentration from environmental and food processing samples. Our current approach involves off-line filtration and cell lysis (ballistic disintegration) functions in appropriate buffers followed by automated nucleic acid capture and purification on renewable affinity matrix microcolumns. Physical cell lysis and renewable affinity microcolumns eliminate the need for toxic organic solvents, enzyme digestions or other time- consuming sample manipulations. Within the renewable affinity microcolumn, we have examined nucleic acid capture and purification efficiency with various microbead matrices (glass, polymer, paramagnetic), surface derivitization (sequence-specific capture oligonucleotides or peptide nucleic acids), and DNA target size and concentration under variable solution conditions and temperatures. Results will be presented comparing automated system performance relative to benchtop procedures for both clean (pure DNA from a laboratory culture) and environmental (soil extract) samples, including results which demonstrate 8 minute purification and elution of low-copy nucleic acid targets from a crude soil extract in a form suitable for PCR or microarray-based detectors. Future research will involve the development of improved affinity reagents and complete system integration, including upstream cell concentration and cell lysis functions and downstream, gene-based detectors. Results of this research will ultimately lead to improved processes and instrumentation for on-line, automated monitors for pathogenic micro-organisms in food, water, air, and soil samples.

Integrated systems for DNA sample preparation and detection in environmental samples

Field-portable sensor system are currently needed for the detection and characterization of biological pathogens in the environment. Nucleic acid analysis is frequently the method of choice for discriminating between pathogenic and non-pathogenic bacteria in environmental samples, however standard protocols are difficult to automate and current microfluidic devices are not configured to analyze environmental samples. In this paper, we describe an automated DNA sample processing system and demonstrate its use for the extraction of bacterial DNA form water and sediment samples. Two challenges in environmental sample analysis are the need to process relatively large sample volumes in order to obtain detectable quantities of DNA present at low concentrations, and the need to purify DNA form a complex sample matrix for downstream detection. These problems are addressed by using sequential injection fluid handling techniques for precise manipulation of the required volumes, and renewable separation columns for automatically trapping and releasing microparticles that are used for sample purification. The renewable microcolumns are used for both bacterial cell concentration and DNA purification. The purified bacterial DNA is then amplified using an on-line PCR module in order to produce detectable quantities of the target DNA.

Bead-based assays for biodetection: from flow-cytometry to microfluidics

The potential for the use of biological agents by terrorists is a real threat. Two approaches for antibody-based detection of biological species are described in this paper: 1) The use of microbead arrays for multiplexed flow cytometry detection of cytokines and botulinum neurotoxin simulant, and 2) a microfluidic platform for capture and separation of different size superparamagnetic nanoparticles followed by on-chip fluorescence detection of the sandwich complex. These approaches both involve the use of automated fluidic systems for trapping antibody-functionalized microbeads, which allows sample, assay reagents, and wash solutions to be perfused over a micro-column of beads, resulting in faster and more sensitive immunoassays. The automated fluidic approach resulted in up to five-fold improvements in immunoassay sensitivity/speed as compared to identical immunoassays performed in a typical manual batch mode. A second approach for implementing multiplexed bead-based immunoassays without using flow cytometry detection is currently under development. The goal of the microfluidic-based approach is to achieve rapid (<20 minutes), multiplexed (≥ 3 bioagents) detection using a simple and low-cost, integrated microfluidic/optical detection platform. Using fiber-optic guided laser-induced fluorescence, assay detection limits were shown to be in the 100s of picomolar range (10s of micrograms per liter) for botulinum neurotoxin simulant without any optimization of the microfluidic device or optical detection approach.