A B Cell-Based Sensor for Rapid Identification of Pathogens

Rider, Todd H.; Petrovick, Martha; Nargi, Frances E.; Harper, James D.; Schwoebel, Eric; Mathews, Richard; Blanchard, David; Bortolin, Laura T.; Young, A.M.; Chen, Jianzhu; Hollis, M.A.

doi:10.1126/science.1084920

Cited by 265 publications

(172 citation statements)

References 14 publications

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“…Detection limits for vaccinia virus (5 × 10 5 pfu/ml) on the AMP array were significantly higher than those obtained using a cell-based system [21] and an antibody-based array platform [22], as well as PCR-based tests [9,11]. However, detection limits determined here were in the same range as another biosensor-based assay that does not utilize concentration or amplification steps [23].…”

Section: Discussionmentioning

confidence: 55%

“…However, detection limits determined here were in the same range as another biosensor-based assay that does not utilize concentration or amplification steps [23]. Although assays were less sensitive for VEE, detection limits for VEE in the AMP-based assays were similar to or better than those of competing cell-or antibodybased technologies [21,22,24,25]. Several groups have previously described the antiviral effects of various AMPs and their derivatives on vaccinia virus [26][27][28].…”

Section: Discussionmentioning

confidence: 78%

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Antimicrobial peptides as new recognition molecules for screening challenging species

Kulagina

Shaffer

Ligler

et al. 2007

Sensors and Actuators B: Chemical

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The goal of this study was to evaluate binding of four targets of biodefense interest to immobilized antimicrobial peptides (AMPs) in biosensor assays. Polymyxins B and E, melittin, cecropins A, B, and P, parasin, bactenecin and magainin-1, as well as control antibodies, were used as capture molecules for detection of Cy3-labeled Venezuelan equine encephalitis virus (VEE), vaccinia virus, C. burnetti and B. melitensis. Although VEE, vaccinia virus and C. burnetti did not show any binding activity to their corresponding capture antibodies, B. melitensis bound to immobilized antiBrucella monoclonal antibodies. The majority of the immobilized AMPs included in this study bound labeled VEE, vaccinia virus and C. burnetti in a concentration-dependent manner, and B. melitensis bound to polymyxin B, polymyxin E, and bactenecin. No binding was observed on immobilized magainin-1. In contrast to all bacterial targets tested to date, VEE and vaccinia virus demonstrated similar patterns of binding to all peptides. While the direct assay is generally replaced by a sandwich assay for analysis of real-world samples, direct binding experiments are commonly used to characterize specificity and sensitivity of binding molecules. In this case, they clearly demonstrate the capability of AMPs as recognition molecules for four biothreat agents.

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Section: Discussionmentioning

confidence: 55%

Section: Discussionmentioning

confidence: 78%

Antimicrobial peptides as new recognition molecules for screening challenging species

Kulagina

Shaffer

Ligler

et al. 2007

Sensors and Actuators B: Chemical

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“…To perform the assay, the live-cell sensor is mixed with the test sample, allowed to interact briefly, the mixture centrifuged, and the tube placed in a luminometer for reading. The system has been examined with foot-and-mouth disease virus and several bacterial pathogens including Yersinia pestis, Bacillus anthracis spores and E. coli 0157:H7, and is claimed to be capable of detecting as few as 50 colonyforming units within minutes (97).…”

Section: Cell-based Sensorsmentioning

confidence: 99%

“…Contact with the target pathogen causes cross-linking of surface-displayed IgM's, which triggers an intracellular biochemical cascade (release of calcium). In the presence of calcium, the aequorin emits light, providing a detectable output (97). To perform the assay, the live-cell sensor is mixed with the test sample, allowed to interact briefly, the mixture centrifuged, and the tube placed in a luminometer for reading.…”

Section: Cell-based Sensorsmentioning

confidence: 99%

Methods for Whole Cell Detection of Microorganisms

Brehm-Stecher

2008

ACS Symposium Series

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Microbes are ubiquitous, and can be found occupying nearly every imaginable niche on Earth. These include organic and inorganic surfaces, interfacial boundaries and within macroscopically solid matrices, such as the pore space of rocks. Because phylogenetically divergent microbes may be visually indistinguishable, understanding the species distribution and ecological significance of environmental microbes requires diagnostic tools that extend beyond simple phenotypic description. Methods for microbial diagnostics can be divided into two broad categories: cellular and acellular. Acellular techniques, such as the polymerase chain reaction or certain immunoassay formats may be effective at detecting molecular, structural or biochemical targets associated with specific cell types, but this information is provided out of its "natural", and arguably most meaningful context -that of the individual microbial cell. In contrast, cellular methods have the potential to preserve an abundance of valuable information. Apart from molecular identity, this includes information regarding cell morphology and other physiological characteristics, cell number and distribution within a sample, and physical or spatial associations with other cell types. The aim of this chapter is to provide an overview of whole cell methods for microbial detection, including both existing approaches and those still in development. The tools described here are expected to find wide application for the detection of microbes on surfaces or within complex matrices across a number of parallel or allied fields, including environmental, food and clinical microbiologies.

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“…A commonly used recognition elements in biosensors are antibodies (reviewed by [3]), although a variety of other bioorganic molecules have been also effectively used as an interface: peptides, enzymes, lectins, carbohydrates, nucleic acids, aptamers, recombinant proteins or molecularly imprinted polymers [4]. In a more recent detection format, the whole cells were explores as the binding entities [5,6]. No one of these types of recognition interfaces, however, could respond well to the sensor performance requirements.…”

Section: Introductionmentioning

confidence: 99%

Landscape phage as a molecular recognition interface for detection devices

Petrenko

2008

Microelectronics Journal

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Filamentous phages are thread-shaped bacterial viruses. Their outer coat is a tube formed by thousands equal copies of the major coat protein pVIII. Libraries of random peptides fused to pVIII domains were used for selection of phages probes specific for a panel of test antigens and biological threat agents. Because the viral carrier in the phage borne bio-selective probes is infective, they can be cloned individually and propagated indefinitely without needs of their chemical synthesis or reconstructing. As a new bioselective material, landscape phages combine unique characteristics of affinity reagents and self assembling proteins. Biorecognition layers formed by the phage-derived probes bind biological agents with high affinity and specificity and generate detectable signals in analytical platforms. The performance of phage-derived materials as biorecognition interface was illustrated by detection of Bacillus anthracis spores and Salmonella typhimurium cells. With further refinement, the phage-derived analytical platforms for detecting and monitoring of numerous threat agents may be developed, since phage interface against any bacteria, virus or toxin may be readily selected from the landscape phage libraries. As an interface in the field-use detectors, they may be superior to antibodies, since they are inexpensive, highly specific and strong binders, resistant to high temperatures and environmental stresses.

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A B Cell-Based Sensor for Rapid Identification of Pathogens

Cited by 265 publications

References 14 publications

Antimicrobial peptides as new recognition molecules for screening challenging species

Antimicrobial peptides as new recognition molecules for screening challenging species

Methods for Whole Cell Detection of Microorganisms

Landscape phage as a molecular recognition interface for detection devices

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