Publications by authors named "Robert Jenison"

Fungal bloodstream infections are a significant problem in the United States, with an attributable mortality rate of up to 40%. An early diagnosis to direct appropriate therapy has been shown to be critical to reduce mortality rates. Conventional phenotypic methods for fungal detection take several days, which is often too late to impact outcomes.

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We describe here a strategy that can distinguish between Staphylococcus species truly present in a clinical sample from contaminating Staphylococcus species introduced during the testing process. Contaminating Staphylococcus species are present at low levels in PCR reagents and colonize lab personnel. To eliminate detection of contaminants, we describe an approach that utilizes addition of sufficient quantities of either non-target Staphylococcal cells (Staphylococcus succinus or Staphylococcus muscae) or synthetic oligonucleotide templates to helicase dependent isothermal amplification reactions to consume Staphylococcus-specific tuf and mecA gene primers such that contaminating Staphylococcus amplification is suppressed to below assay limits of detection.

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Thin film biosensors exploit a flat, optically coated silicon-based surface whereupon formation of nucleic acid hybrids are enzymatically transduced in a molecular thin film that can be detected by the unaided human eye under white light. While the limit of sensitivity for detection of nucleic acid targets is at sub-attomole levels (60 000 copies) many clinical specimens containing bacterial pathogens have much lower levels of analyte present. Herein, we describe a platform, termed HDA/thin film biosensor, which performs helicase-dependant nucleic acid amplification on a thin film biosensor surface to improve the limit of sensitivity to 10 copies of the mecA gene present in methicillin-resistant strains of Staphylococcus.

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For patients infected with tuberculosis, detection of rpoB gene mutations is critical for diagnosing drug-resistant strains of the causative pathogen, Mycobacterium tuberculosis (MTB). Traditional approaches to drug resistance include culture, which is very slow. Recently described real-time polymerase chain reaction approaches have addressed turnaround time but at relatively high cost.

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Background: The bacterium Staphylococcus aureus constitutes one of the most important causes of nosocomial infections. One out of every three individuals naturally carries S. aureus in their anterior nares, and nasal carriage is associated with a significantly higher infection rate in hospital settings.

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Clostridium difficile can carry a genetically variable pathogenicity locus (PaLoc), which encodes clostridial toxins A and B. In hospitals and in the community at large, this organism is increasingly identified as a pathogen. To develop a diagnostic test that combines the strengths of immunoassays (cost) and DNA amplification assays (sensitivity/specificity), we targeted a genetically stable PaLoc region, amplifying tcdB sequences and detecting them by hybridization capture.

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Multidrug-resistant Mycobacterium tuberculosis strains are widespread and present a challenge to effective treatment of this infection. The need for a low-cost and rapid detection method for clinically relevant mutations in Mycobacterium tuberculosis that confer multidrug resistance is urgent, particularly for developing countries. We report here a novel test that detects the majority of clinically relevant mutations in the beta subunit of the RNA polymerase (rpoB) gene that confer resistance to rifampin (RIF), the treatment of choice for tuberculosis (TB).

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Rapid diagnosis of staphylococcal bacteremia directs appropriate antimicrobial therapy, leading to improved patient outcome. We describe herein a rapid test (<75 min) that can identify the major pathogenic strains of Staphylococcus to the species level as well as the presence or absence of the methicillin resistance determinant gene, mecA. The test, Staph ID/R, combines a rapid isothermal nucleic acid amplification method, helicase-dependent amplification (HDA), with a chip-based array that produces unambiguous visible results.

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This article describes a simple and inexpensive signal amplification method, termed polymeric enzyme detection (PED), which permits rapid and sensitive detection of conserved sequences in the tuf gene that identify Staphylococcus genus, conserved sequences in the femB gene that specifically detect Staphylococcus aureus species, and the methicillin resistance gene mecA directly from positive blood culture bottles. Microbe-specific capture probes were immobilized onto microtiter plates or silicon chips. Target sequences and biotin-labeled, target-specific probes were hybridized to complementary capture probes to create a biotin-labeled, surface-immobilized tripartite complex.

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The influenza virus has been subtyped from crude lysates using polymerization-based amplification. In this novel chemical approach to detection, signal amplification was achieved by coupling a polymerization reaction to a protein-protein recognition event. This particular method shows promise due to its advantages over the techniques currently employed in commercial assays in terms of cost, robustness, and unambiguity of test results.

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We describe here a rapid assay for the detection of the tuf gene for the identification of Staphylococcus genus, the femB gene for the identification of Staphylococcus aureus species, and the mecA gene for the identification of methicillin resistance directly from BACTEC blood culture bottles showing Gram-positive cocci in clusters. The test, configured on a thin-film biosensor platform, allows for detection of genomic DNA from blood culture samples without the need for nucleic acid amplification. In an initial study to validate the technology, 107 consecutive positive blood cultures were tested on the thin-film biosensor, and the assay exhibited 100% concordance in comparison with standard microbiological methods for identifying methicillin-susceptible and methicillin-resistant S.

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Clinical and field-portable diagnostic devices require the detection of atto- to zeptomoles of biological molecules rapidly, easily and at low cost, with stringent requirements in terms of robustness and reliability. Though a number of creative approaches to this difficult problem have been reported, numerous unmet needs remain in the marketplace, particularly in resource-poor settings. Using rational materials design, we investigated harnessing the amplification inherent in a radical chain polymerization reaction to detect molecular recognition.

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Objectives: Numerous functional polymorphisms in the CYP2C19 gene have been identified; some alleles (e.g. CYP2C19*2 and CYP2C19*3) are associated with poor metabolism of CYP2C19 substrate drugs.

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Background: Cholesterol 7-alpha-hydroxylase (CYP7A1) is the rate limiting enzyme for converting cholesterol into bile acids. Genetic variations in the CYP7A1 gene have been associated with metabolic disorders of cholesterol and bile acids, including hypercholesterolemia, hypertriglyceridemia, arteriosclerosis, and gallstone disease. Current genetic studies are focused mainly on analysis of a single nucleotide polymorphism (SNP) at A-278C in the promoter region of the CYP7A1 gene.

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Certain optical conditions permit the unaided eye to detect thickness changes on surfaces on the order of 20 A, which are of similar dimensions to monomolecular interactions between proteins or hybridization of complementary nucleic acid sequences. Such detection exploits specific interference of reflected white light, wherein thickness changes are perceived as surface color changes. This technology, termed thin-film detection, allows for the visualization of subattomole amounts of nucleic acid targets, even in complex clinical samples.

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Microsatellite repeat and single nucleotide polymorphisms (SNPs) are abundant sources of genetic variation, but existing methodologies cannot simultaneously detect these variants in a facile or inexpensive way. We describe herein a thin-film biosensor chip based on an allele-discriminating oligonucleotide array that enables genotyping for both microsatellite repeats and SNPs in a single analysis. We validated this methodology for the functionally polymorphic -794 CATT(5-8) repeat and -173 G/C SNP present in the promoter of the human gene for macrophage migration inhibitory factor (MIF).

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Many reports have suggested that target-activated ribozymes hold potential value as detection reagents. We show that a "half"-ribozyme ligase is activated similarly by three unstructured oligoribonucleotides representing the major sequence variants of a hepatitis C virus 5'-untranslated region (5'-UTR) target and by a structured RNA corresponding to the entire 5'-UTR. Half-ribozyme ligation product was detected both in an ELISA-like assay and in an optical immunoassay through the use of hapten-carrying substrate RNAs.

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Background: The recommendation for population- based cystic fibrosis (CF) carrier screening by the American College of Medical Genetics for the 25 most prevalent mutations and 6 polymorphisms in the CF transmembrane regulatory gene has greatly increased clinical laboratory test volumes. We describe the development and technical validation of a DNA chip in a 96-well format to allow for high-throughput genotype analysis.

Methods: The CF Portrait chip contains an 8 x 8 array of capture probes and controls to detect all requisite alleles.

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Single-nucleotide polymorphisms (SNPs) constitute the bulk of human genetic variation and provide excellent markers to identify genetic factors contributing to complex disease susceptibility. A rapid, sensitive, and inexpensive assay is important for large-scale SNP scoring. Here we report the development of a multiplex SNP detection system using silicon chips coated to create a thin-film optical biosensor.

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