Functionalization of poly(dimethylsiloxane) by chemisorption of copolymers: DNA microarrays for pathogen detection

2008 ◽  
Vol 132 (1) ◽  
pp. 258-264 ◽  
Author(s):  
Marina Cretich ◽  
Valentina Sedini ◽  
Francesco Damin ◽  
Gabriele Di Carlo ◽  
Claudio Oldani ◽  
...  
Keyword(s):  
Pathogen Detection ◽  
Dna Microarrays

DNA Microarrays for Pathogen Detection

2015 ◽  
pp. 113-220 ◽  
Author(s):  
Holger Schulze ◽  
Maya Rubtsova ◽  
Till T. Bachmann
Keyword(s):  
Pathogen Detection ◽  
Dna Microarrays

scholarly journals A model of base-call resolution on broad-spectrum pathogen detection resequencing DNA microarrays

2008 ◽  
Vol 36 (10) ◽  
pp. 3194-3201 ◽  
Author(s):  
A. P. Malanoski ◽  
B. Lin ◽  
D. A. Stenger
Keyword(s):  
Broad Spectrum ◽  
Pathogen Detection ◽  
Dna Microarrays ◽  
Base Call

scholarly journals DNA microarrays for pathogen detection and characterisation

2006 ◽  
Vol 27 (2) ◽  
pp. 68
Author(s):  
Philippa Jack ◽  
David Boyle
Keyword(s):  
Dna Microarray ◽  
Clinical Microbiology ◽  
Pathogen Detection ◽  
Dna Microarrays ◽  
Pcr Amplification ◽  
Specific Primer ◽  
Pathogen Discovery ◽  
Primer Sets ◽  
Major Factors ◽  
Diagnostic Microbiology

DNA microarrays have three main potential diagnostic uses in clinical microbiology: detection of known pathogens, pathogen typing and novel pathogen discovery. Although DNA microarray platforms offer the ability to screen for a large number of agents in parallel, sensitivity is dependent on the ability to obtain adequate amounts of pathogen nucleic acids from collected samples. In general, high levels of sensitivity require a PCR amplification step using specific primer sets, subsequently reducing the overall scope of the microarray assay. At present, relatively high costs, restricted sample throughput capabilities and validation difficulties are also major factors limiting the implementation of DNA microarray assays in diagnostic microbiology laboratories.

scholarly journals Large scale multiplex PCR improves pathogen detection by DNA microarrays

2009 ◽  
Vol 9 (1) ◽  
pp. 1 ◽  
Author(s):  
Maria Palka-Santini ◽  
Berit E Cleven ◽  
Ludwig Eichinger ◽  
Martin Krönke ◽  
Oleg Krut
Keyword(s):  
Multiplex Pcr ◽  
Large Scale ◽  
Pathogen Detection ◽  
Dna Microarrays

scholarly journals Detection and Genotyping of Arcobacter and Campylobacter Isolates from Retail Chicken Samples by Use of DNA Oligonucleotide Arrays

2007 ◽  
Vol 73 (11) ◽  
pp. 3645-3655 ◽  
Author(s):  
Beatriz Quiñones ◽  
Craig T. Parker ◽  
John M. Janda ◽  
William G. Miller ◽  
Robert E. Mandrell
Keyword(s):  
Dna Microarray ◽  
Membrane Filtration ◽  
Pathogen Detection ◽  
Dna Microarrays ◽  
Pcr Amplification ◽  
Detection Sensitivity ◽  
Sensitivity Threshold ◽  
Campylobacter Coli ◽  
Oligonucleotide Arrays ◽  
High Level

ABSTRACT To explore the use of DNA microarrays for pathogen detection in food, we produced DNA oligonucleotide arrays to simultaneously determine the presence of Arcobacter and the presence of Campylobacter in retail chicken samples. Probes were selected that target housekeeping and virulence-associated genes in both Arcobacter butzleri and thermotolerant Campylobacter jejuni and Campylobacter coli. These microarrays showed a high level of probe specificity; the signal intensities detected for A. butzleri, C. coli, or C. jejuni probes were at least 10-fold higher than the background levels. Specific identification of A. butzleri, C. coli, and C. jejuni was achieved without the need for a PCR amplification step. By adapting an isolation method that employed membrane filtration and selective media, C. jejuni isolates were recovered from package liquid from whole chicken carcasses prior to enrichment. Increasing the time of enrichment resulted in the isolation of A. butzleri and increased the recovery of C. jejuni. C. jejuni isolates were further classified by using an additional subset of probes targeting the lipooligosaccharide (LOS) biosynthesis locus. Our results demonstrated that most of the C. jejuni isolates likely possess class B, C, or H LOS. Validation experiments demonstrated that the DNA microarray had a detection sensitivity threshold of approximately 10,000 C. jejuni cells. Interestingly, the use of C. jejuni sequence-specific primers to label genomic DNA improved the sensitivity of this DNA microarray for detection of C. jejuni in whole chicken carcass samples. C. jejuni was efficiently detected directly both in package liquid from whole chicken carcasses and in enrichment broths.

Anti-Diabetic Activity of a Mineraloid Isolate, in vitro and in Genetically Diabetic Mice

2011 ◽  
Vol 81 (1) ◽  
pp. 34-42 ◽  
Author(s):  
Joel Deneau ◽  
Taufeeq Ahmed ◽  
Roger Blotsky ◽  
Krzysztof Bojanowski
Keyword(s):  
Dna Microarrays ◽  
Human Fibroblasts ◽  
Diabetic Animal ◽  
In Vitro Tests ◽  
Diabetic Mice ◽  
Fossil Material ◽  
Expression Of Genes ◽  
Enhanced Expression ◽  
Genetically Diabetic Mice

Type II diabetes is a metabolic disease mediated through multiple molecular pathways. Here, we report anti-diabetic effect of a standardized isolate from a fossil material - a mineraloid leonardite - in in vitro tests and in genetically diabetic mice. The mineraloid isolate stimulated mitochondrial metabolism in human fibroblasts and this stimulation correlated with enhanced expression of genes coding for mitochondrial proteins such as ATP synthases and ribosomal protein precursors, as measured by DNA microarrays. In the diabetic animal model, consumption of the Totala isolate resulted in decreased weight gain, blood glucose, and glycated hemoglobin. To our best knowledge, this is the first description ever of a fossil material having anti-diabetic activity in pre-clinical models.

Can DNA microarrays change diagnostics and therapy of lung cancer?

2006 ◽  
Vol 54 (S 1) ◽  
Author(s):  
HS Hofmann ◽  
A Simm ◽  
G Hansen ◽  
RJ Scheubel ◽  
RE Silber ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Dna Microarrays ◽  
Diagnostics And Therapy

Inkjet Printing platforms for DNA-based pathogen detection

2018 ◽  
Vol 2018 (1) ◽  
pp. 107-112 ◽  
Author(s):  
Min Zhao ◽  
Susana Diaz Amaya ◽  
Seon-ah Jin ◽  
Li-Kai Lin ◽  
Amanda J. Deering ◽  
...  
Keyword(s):  
Inkjet Printing ◽  
Pathogen Detection
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