Publications by authors named "Barry Glynn"

Aims: Somatic insertions/deletions in exon 9 of the calreticulin gene have been identified in patients with essential thrombocythemia and primary myelofibrosis. Over 55 mutations have been discovered, 80% of which consist of either type 1 52-bp deletion or type 2 5-bp insertion. Other mutations (types 3-5) in conjunction with types 1 and 2 account for >87% of identified mutations.

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There is a growing need for quick and reliable methods for microorganism detection and identification worldwide. Although traditional culture-based technologies are trustworthy and accurate at a relatively low cost, they are also time- and labor-consuming and are limited to culturable bacteria. Those weaknesses have created a necessity for alternative technologies that are capable for faster and more precise bacterial identification from medical, food or environmental samples.

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A label-free biosensing method for the sensitive detection and identification of bacterial transfer-messenger RNA (tmRNA) is presented employing arrays of silicon photonic microring resonators. Species specific tmRNA molecules are targeted by complementary DNA capture probes that are covalently attached to the sensor surface. Specific hybridization is monitored in near real-time by observing the resonance wavelength shift of each individual microring.

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16s ribosomal RNA (rRNA) is routinely used to identify bacteria in direct detection culture confirmation assays. In some instances rRNA cannot be used as a target to distinguish between phylogenetically closely related bacteria. Here we evaluate an alternative target, transfer messenger RNA (tmRNA), for the culture confirmation of Listeria monocytogenes.

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Background: We present a comprehensive technological solution for bacterial diagnostics using tmRNA as a marker molecule. A robust probe design algorithm for microbial detection microarray is implemented. The probes were evaluated for specificity and, combined with NASBA (Nucleic Acid Sequence Based Amplification) amplification, for sensitivity.

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Since the early 1970s, the use of nucleic acid sequences for specific diagnostic applications has followed a somewhat linear pattern of development. Early methods for restriction enzyme digestion, as well as reverse transcription, were followed in the late 1970s by Southern, northern and dot blotting, as well as DNA sequencing. In 1985, the description of PCR and the routine laboratory manipulation of sufficient quantities of DNA for diagnostics, resulted in the exponential growth of molecular biology.

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A real-time nucleic acid sequence-based amplification assay, targeting tmRNA, was designed for the rapid identification of Staphylococcus aureus. The selectivity of the assay was confirmed against a panel of 76 Staphylococcus strains and species and 22 other bacterial species. A detection limit of 1 cell equivalent was determined for the assay.

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Background: Here we present a novel promising microbial diagnostic method that combines the sensitivity of Nucleic Acid Sequence Based Amplification (NASBA) with the high information content of microarray technology for the detection of bacterial tmRNA molecules. The NASBA protocol was modified to include aminoallyl-UTP (aaUTP) molecules that were incorporated into nascent RNA during the NASBA reaction. Post-amplification labeling with fluorescent dye was carried out subsequently and tmRNA hybridization signal intensities were measured using microarray technology.

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Use of high copy number bacterial RNA offers several advantages in a diagnostics context compared with current deoxyribonucleic acid-based assays. The opportunity to only detect viable cells by targeting labile RNA transcripts may create an opportunity for "real-time" monitoring of pathogen load in response to a treatment regimen, while the natural amplification provided by the relative abundance of the RNA target compared with its corresponding gene opens a door to potential nonamplified direct detection technologies. In this chapter, a method is described to accurately quantify specific RNA transcripts and thus determine their potential utility as "high-copy" targets.

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