A Real-Time PCR Method to Rapidly Titer Adenovirus Stocks

2007 ◽  
pp. 185-192
Author(s):  
Maria A. Thomas ◽  
Drew L. Lichtenstein ◽  
Peter Krajcsi ◽  
William S. M. Wold
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Pcr Method

Detection of Streptococcus pneumoniae in Sputum Samples by Real- Time PCR.

2020 ◽  
Vol 18 ◽  
Author(s):  
Pegah Shakib ◽  
Mohammad Reza Zolfaghari
Keyword(s):  
Streptococcus Pneumoniae ◽  
Real Time ◽  
Real Time Pcr ◽  
False Negative ◽  
Cross Sectional Study ◽  
Laboratory Culture ◽  
Cross Sectional ◽  
Negative Results ◽  
False Negative Results ◽  
Pcr Method

Background: Conventional laboratory culture-based methods for diagnosis of Streptococcus pneumoniae are time-consuming and yield false negative results. Molecular methods including real-time (RT)-PCR rapid methods and conventional PCR due to higher sensitivity and accuracy have been replaced instead traditional culture assay. The aim of the current study was to evaluate lytA gene for detection of Streptococcus pneumoniae in the cerebrospinal fluid of human patients with meningitis using real-time PCR assay. Material and Methods: In this cross-sectional study, a total of 30 clinical specimens were collected from patients in a period from September to December 2018. In order to evaluate the presence of lytA gene, conventional and real-time PCR methods were used without culture. Results: From 30 sputum samples five (16.66%) isolates were identified as S. pneumoniae by lytA PCR and sequencing. Discussion: In this research, an accurate and rapid real-time PCR method was used, which is based on lytA gene for diagnosis of bacteria so that it can be diagnosed. Based on the sequencing results, the sensitivity for detection of lytA gene was 100% (5/5).

scholarly journals Real-Time PCR Assay for Detection and Enumeration of Dekkera bruxellensis in Wine

2003 ◽  
Vol 69 (12) ◽  
pp. 7430-7434 ◽  
Author(s):  
Trevor G. Phister ◽  
David A. Mills
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Pcr Primers ◽  
Rrna Gene ◽  
Dekkera Bruxellensis ◽  
Pcr Assay ◽  
Specific Pcr ◽  
Spoilage Yeast ◽  
Pcr Method ◽  
26S Rrna

ABSTRACT Traditional methods to detect the spoilage yeast Dekkera bruxellensis from wine involve lengthy enrichments. To overcome this difficulty, we developed a quantitative real-time PCR method to directly detect and enumerate D. bruxellensis in wine. Specific PCR primers to D. bruxellensis were designed to the 26S rRNA gene, and nontarget yeast and bacteria common to the winery environment were not amplified. The assay was linear over a range of cell concentrations (6 log units) and could detect as little as 1 cell per ml in wine. The addition of large amounts of nontarget yeasts did not impact the efficiency of the assay. This method will be helpful to identify possible routes of D. bruxellensis infection in winery environments. Moreover, the time involved in performing the assay (3 h) should enable winemakers to more quickly make wine processing decisions in order to reduce the threat of spoilage by D. bruxellensis.

Development and application of a novel reverse transcription real-time PCR method for miR-499 quantification

2013 ◽  
Vol 46 (15) ◽  
pp. 1566-1571 ◽  
Author(s):  
Weidong Zheng ◽  
Yuwei Di ◽  
Yinghong Liu ◽  
Ge Huang ◽  
Youwei Zheng ◽  
...  
Keyword(s):  
Real Time ◽  
Reverse Transcription ◽  
Real Time Pcr ◽  
Pcr Method

MGB-based one-step multiplex real-time PCR method for rapid detection of HPV

2013 ◽  
Vol 12 (3) ◽  
pp. 107-113 ◽  
Author(s):  
Jie Huang ◽  
Chun Gao ◽  
Xilai Ding ◽  
Shoufang Qu ◽  
Licheng Liu ◽  
...  
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Rapid Detection ◽  
One Step ◽  
Pcr Method

scholarly journals Rapid concentration and sensitive detection of hookworm ova from wastewater matrices using a real-time PCR method

2015 ◽  
Vol 159 ◽  
pp. 5-12 ◽  
Author(s):  
P. Gyawali ◽  
J.P.S. Sidhu ◽  
W. Ahmed ◽  
P. Jagals ◽  
S. Toze
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Sensitive Detection ◽  
Pcr Method ◽  
Hookworm Ova

Real-time PCR method for identification of Asian populations in forensic casework

2009 ◽  
Vol 11 ◽  
pp. S106-S108 ◽  
Author(s):  
Tomoharu Tokutomi ◽  
Yuzo Takada ◽  
Takako Murayama ◽  
Masahiro Mukaida ◽  
Jun Kanetake
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Forensic Casework ◽  
Asian Populations ◽  
Pcr Method

scholarly journals Multiplex Real-Time PCR Method for Simultaneous Identification and Toxigenic Type Characterization of Clostridium difficile From Stool Samples

2015 ◽  
Vol 35 (3) ◽  
pp. 306-313 ◽  
Author(s):  
Abdullah Kilic ◽  
Mohammad J. Alam ◽  
Naradah L. Tisdel ◽  
Dhara N. Shah ◽  
Mehmet Yapar ◽  
...  
Keyword(s):  
Clostridium Difficile ◽  
Real Time ◽  
Real Time Pcr ◽  
Stool Samples ◽  
Pcr Method ◽  
Simultaneous Identification

scholarly journals Detection of Peanut Allergen Traces with a Real Time PCR Assay - The Challenge to Protect Food-Allergic Consumers

2017 ◽  
Vol 7 (1) ◽  
pp. 32 ◽  
Author(s):  
Dimitra Houhoula ◽  
Stamatios Koussissis ◽  
Vladimiros Lougovois ◽  
John Tsaknis ◽  
Dimitra Kassavita ◽  
...  
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Rapid Detection ◽  
Food Products ◽  
Molecular Techniques ◽  
Food Allergens ◽  
Pcr Assay ◽  
Peanut Allergen ◽  
Pcr Method ◽  
Detection And Quantification

The aim of the present study was the implementation of molecular techniques in the detection and quantification of allergic substances of peanut in various kinds of food products, e.g., breakfast cereals, chocolates and biscuits that are frequently related to allergies. In some cases, the presence of peanuts can be due to contamination during production and are not declared on the label. A total of 152 samples were collected from supermarkets and were analysed by a Real Time PCR method. The results indicated that 125 samples (83,3%) were found positive in peanut traces but the most important finding is that from the 84 samples that had no allergen declaration for peanuts, 48 (57,1%) of them were found positive. In conclusion, Real Time PCR can be a very important tool for the rapid detection and quantification of food allergens.

Sign in / Sign up

Export Citation Format

Share Document