974 resultados para PCR and real time PCR


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The piezoelectric quartz crystal resonators modified with oligonucleotide probes were used for detection of hepatitis C virus (HCV) in serum. The gold electrodes on either rough or smooth surface crystals were modified with a self-assembled monolayer of cystamine. After activation with glutaraldehyde, either avidin or streptavidin were immobilized and used for attachment of biotinylated DNA probes (four different sequences). Piezoelectric biosensors were used in a flow-through setup for direct monitoring of DNA resulting from the reverse transcriptase-linked polymerase chain reaction (RT-PCR) amplification of the original viral RNA. The samples of patients with hepatitis C were analyzed and the results were compared with the standard RT-PCR procedure (Amplicor test kit of Roche, microwell format with spectrophotometric evaluation). The piezoelectric hybridization assay was completed in 10 min and the same sensing surface was suitable for repeated use. (C) 2004 Elsevier B.V. All rights reserved.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Background: Infectious diarrhea can be caused by bacteria, viruses, or protozoan organisms, or a combination of these. The identification of co-infections in dogs is important to determine the prognosis and to plan strategies for their treatment and prophylaxis. Although many pathogens have been individually detected with real-time polymerase chain reaction (PCR), a comprehensive panel of agents that cause diarrhea in privately owned dogs has not yet been established. The objective of this study was to use a real-time PCR diarrhea panel to survey the frequencies of pathogens and co-infections in owned dogs attended in a veterinary hospital with and without diarrhea, as well the frequency in different countries. Feces samples were tested for canine distemper virus, canine coronavirus, canine parvovirus type 2 (CPV-2), Clostridium perfringens alpha toxin (CPA), Cryptosporidium spp., Giardia spp., and Salmonella spp. using molecular techniques.Results: In total, 104 diarrheic and 43 control dogs that were presented consecutively at a major private veterinary hospital were included in the study. Overall, 71/104 (68.3%) dogs with diarrhea were positive for at least one pathogen: a single infection in 39/71 dogs (54.9%) and co-infections in 32/71 dogs (45.1%), including 21/32 dogs (65.6%) with dual, 5/32 (15.6%) with triple, and 6/32 (18.8%) with quadruple infections. In the control group, 13/43 (30.2%) dogs were positive, all with single infections only. The most prevalent pathogens in the diarrheic dogs were CPA (40/104 dogs, 38.5%), CPV-2 (36/104 dogs, 34.6%), and Giardia spp. (14/104 dogs, 13.5%). CPV-2 was the most prevalent pathogen in the dual co-infections, associated with CPA, Cryptosporidium spp., or Giardia spp. No statistical difference (P = 0.8374) was observed in the duration of diarrhea or the number of deaths (P = 0.5722) in the presence or absence of single or co-infections.Conclusions: Diarrheic dogs showed a higher prevalence of pathogen infections than the controls. Whereas the healthy dogs had only single infections, about half the diarrheic dogs had co-infections. Therefore, multiple pathogens should be investigated in dogs presenting with diarrhea. The effects of multiple pathogens on the disease outcomes remain unclear because the rate of death and the duration of diarrhea did not seem to be affected by these factors.

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The correct distinguishment of microorganisms involved in the periodontal disease pathogen, it is important in the understanding of its progression and adequate treatment planning. Considering this fact, some molecular methods of identification and quantification were developed and are extremely sensitive and precise in the characterization of different bacteria species. The present study aimed to realize a literature review, including studies that realized a comparative analysis between bacterial culture and real time PCR methods in the identification of pathogens. The bacterial culture method can possibly identify new microorganisms and realize antibiotics sensitivity tests. The real time PCR is a microbiologic test that identifies and quantifies bacterial species, through gene amplification of predetermined DNA fragments, with high sensitivity and specificity, and need a shorter operation time of the operator when compared to the bacterial culture method. In this way, to determine a specific diagnostic test, should be considered not only its precision in the identification of microorganisms, but the cost-benefit relationship as well.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Il primo capitolo di questo lavoro di tesi introduce i concetti di biologia necessari per comprendere il fenomeno dell’espressione genica. Il secondo capitolo descrive i metodi e le tecniche di laboratorio utilizzate per ottenere il cDNA, il materiale genetico che verrà amplificato nella real-time PCR. Nel terzo capitolo si descrive la tecnica di real-time PCR, partendo da una descrizione della PCR convenzionale fino a delineare le caratteristiche della sua evoluzione in real-time PCR. Si prosegue con la spiegazione del principio fisico alla base della tecnica e delle molecole necessarie (fluorofori e sonde) per realizzarla; infine si descrive l’hardware e il software dello strumento. Il quarto capitolo presenta le tecniche di analisi del segnale che utilizzano metodi di quantificazione assoluta o relativa. Infine nel quinto capitolo è presentato un caso di studio, cioè un’analisi di espressione genica con real-time PCR condotta durante l’esperienza di tirocinio presso il laboratorio ICM. e delle molecole necessarie (fluorofori e sonde) per realizzarla; infine si descrive l’hardware e il software dello strumento. Il quarto capitolo presenta le tecniche di analisi del segnale che utilizzano metodi di quantificazione assoluta o relativa. Infine nel quinto capitolo è presentato un caso di studio, cioè un’analisi di espressione genica con real-time PCR condotta durante l’esperienza di tirocinio presso il laboratorio ICM.

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The impact of a semiquantitative commercially available test based on DNA-strip technology (microIDent®, Hain Lifescience, Nehren, Germany) on diagnosis and treatment of severe chronic periodontitis of 25 periodontitis patients was evaluated in comparison with a quantitative in-house real-time PCR. Subgingival plaque samples were collected at baseline as well as at 3, 6, and 12 months later. After extracting DNA, Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, Tannerella forsythia, Treponema denticola, and several other periodontopathogens were determined by both methods. The results obtained by DNA-strip technology were analyzed semiquantitatively and additionally quantitatively by densitometry. The results for the 4 major periodontopathogenic bacterial species correlated significantly between the 2 methods. Samples detecting a high bacterial load by one method and negative by the other were always found in less than 2% of the total samples. Both technologies showed the impact of treatment on microflora. Especially the semiquantitative DNA-strip technology clearly analyzed the different loads of periodontopathogens after therapy and is useful in microbial diagnostics for patients in dental practices.

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Two alpacas from a herd in southwest Switzerland died for unknown reasons. Necropsy revealed chronic weight loss and pale mucous membranes. Infection with hemotropic mycoplasmas was suspected and subsequently confirmed by molecular methods. In order to investigate the epidemiological situation in this herd, a real-time TaqMan((R)) qPCR assay for the specific detection and quantification of hemoplasma infection in South American camelids was developed. This assay was based on the 16S rRNA gene and amplified 'Candidatus Mycoplasma haemolamae' DNA, but not DNA from other hemoplasmas or non-hemotropic mycoplasma species. The lower detection limit was one copy/PCR, and the amplification efficiency was 97.4%. In 11 out of 24 clinically healthy herd mates of the two infected alpacas, 'Candidatus M. haemolamae' infection was confirmed. No correlation was found between bacterial load and clinical signs or anemia. The assay described herein enables to detect and quantify 'Candidatus M. haemolamae' and may be used in future studies to investigate the prevalence, pathogenesis and treatment follow-up of hemoplasma infections in South American camelids.

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Equine Influenza ist eine durch Influenza A-Viren verursachte, kontagiöse Respirationserkrankung beim Pferd. In dieser Arbeit wurde eine real-time RT-PCR in einem konservierten Abschnitt des Matrix-Segments des viralen Genoms für die schnelle und sensitive Diagnose von equinen Influenzaviren (EIV) und je eine RT-PCR Methode im Matrix- und im HA-Segment für die molekular-epidemiologische Charakterisierung der Viren entwickelt. Die Primer der real-time RT-PCR sind zu 99.4% der bekannten EIV-Sequenzen und zu 97.7% aller Influenza A-Sequenzen homolog. Die Homologie der Minor Groove Binder (MGB)-Sonde lag bei 99.3% und 99.6%. Diese hohen Werte ermöglichen die Anwendung des Assays für Influenzaviren bei anderen Spezies. Die diagnostische Eignung der Methode wurde mit Hilfe von 20 equinen, 11 porcinen sowie 2 aviären Proben verifiziert. Eine hohe Spezifität für Influenzaviren wurde experimentell und mittels Software-Simulation gezeigt. Die analytische Sensitivität des Tests lag bei 102–103 RNA-Kopien und 100–101 DNA-Kopien, was den Virusnachweis auch bei geringer Virusausscheidung ermöglicht. Alle amplifizierten EIV-Sequenzen konnten phylogenetisch den bekannten Linien zugeordnet werden.

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Quantitative real-time polymerase chain reaction (qPCR) is a sensitive gene quantitation method that has been widely used in the biological and biomedical fields. The currently used methods for PCR data analysis, including the threshold cycle (CT) method, linear and non-linear model fitting methods, all require subtracting background fluorescence. However, the removal of background fluorescence is usually inaccurate, and therefore can distort results. Here, we propose a new method, the taking-difference linear regression method, to overcome this limitation. Briefly, for each two consecutive PCR cycles, we subtracted the fluorescence in the former cycle from that in the later cycle, transforming the n cycle raw data into n-1 cycle data. Then linear regression was applied to the natural logarithm of the transformed data. Finally, amplification efficiencies and the initial DNA molecular numbers were calculated for each PCR run. To evaluate this new method, we compared it in terms of accuracy and precision with the original linear regression method with three background corrections, being the mean of cycles 1-3, the mean of cycles 3-7, and the minimum. Three criteria, including threshold identification, max R2, and max slope, were employed to search for target data points. Considering that PCR data are time series data, we also applied linear mixed models. Collectively, when the threshold identification criterion was applied and when the linear mixed model was adopted, the taking-difference linear regression method was superior as it gave an accurate estimation of initial DNA amount and a reasonable estimation of PCR amplification efficiencies. When the criteria of max R2 and max slope were used, the original linear regression method gave an accurate estimation of initial DNA amount. Overall, the taking-difference linear regression method avoids the error in subtracting an unknown background and thus it is theoretically more accurate and reliable. This method is easy to perform and the taking-difference strategy can be extended to all current methods for qPCR data analysis.^

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