Robust quantification of the SMN gene copy number by real-time TaqMan PCR

Neurogenetics ◽  
2007 ◽  
Vol 8 (4) ◽  
pp. 271-278 ◽  
Author(s):  
Ilsa Gómez-Curet ◽  
Karyn G. Robinson ◽  
Vicky L. Funanage ◽  
Thomas O. Crawford ◽  
Mena Scavina ◽  
...  
Neurogenetics ◽  
2009 ◽  
Vol 10 (2) ◽  
pp. 171-172
Author(s):  
Ilsa Gómez-Curet ◽  
Karyn G. Robinson ◽  
Vicky L. Funanage ◽  
Thomas O. Crawford ◽  
Mena Scavina ◽  
...  

2016 ◽  
Vol 144 (1-2) ◽  
pp. 10-14 ◽  
Author(s):  
Gavrilo Brajovic ◽  
Branka Popovic ◽  
Miljan Puletic ◽  
Marija Kostic ◽  
Jelena Milasin

Introduction. Periodontal diseases are associated with the presence of elevated levels of bacteria within the gingival crevice. Objective. The aim of this study was to evaluate a total amount of bacteria in subgingival plaque samples in patients with a periodontal disease. Methods. A quantitative evaluation of total bacteria amount using quantitative real-time polymerase chain reaction (qRT-PCR) was performed on 20 samples of patients with ulceronecrotic periodontitis and on 10 samples of healthy subjects. The estimation of total bacterial amount was based on gene copy number for 16S rRNA that was determined by comparing to Ct values / gene copy number of the standard curve. Results. A statistically significant difference between average gene copy number of total bacteria in periodontal patients (2.55.107) and healthy control (2.37.106) was found (p=0.01). Also, a trend of higher numbers of the gene copy in deeper periodontal lesions (>7 mm) was confirmed by a positive value of coefficient of correlation (r=0.073). Conclusion. The quantitative estimation of total bacteria based on gene copy number could be an important additional tool in diagnosing periodontitis.


2009 ◽  
Vol 403 (1-2) ◽  
pp. 207-211 ◽  
Author(s):  
Duc L. Nguyen ◽  
Julia Staeker ◽  
Barbara Laika ◽  
Werner Steimer

2012 ◽  
Vol 23 ◽  
pp. ii22
Author(s):  
J. Martinez-Galan ◽  
B. Torres-Torres ◽  
J.R. Delgado ◽  
M.I. Núñez ◽  
S. Ríos

2009 ◽  
Vol 13 (1) ◽  
pp. 37-42 ◽  
Author(s):  
Nadia Passon ◽  
Federico Pozzo ◽  
Cristiano Molinis ◽  
Elisa Bregant ◽  
Cinzia Gellera ◽  
...  

Author(s):  
Agata Gadaleta ◽  
Angelica Giancaspro ◽  
Maria Cardone ◽  
Antonio Blanco

AbstractRecent results obtained in various crops indicate that real-time PCR could be a powerful tool for the detection and characterization of transgene locus structures. The determination of transgenic locus number through real-time PCR overcomes the problems linked to phenotypic segregation analysis (i.e. lack of detectable expression even when the transgenes are present) and can analyse hundreds of samples in a day, making it an efficient method for estimating gene copy number. Despite these advantages, many authors speak of “estimating” copy number by real-time PCR, and this is because the detection of a precise number of transgene depends on how well real-time PCR performs.This study was conducted to determine transgene copy number in transgenic wheat lines and to investigate potential variability in sensitivity and resolution of real-time chemistry by TaqMan probes. We have applied real-time PCR to a set of four transgenic durum wheat lines previously obtained. A total of 24 experiments (three experiments for two genes in each transgenic line) were conducted and standard curves were obtained from serial dilutions of the plasmids containing the genes of interest. The correlation coefficients ranged from 0.95 to 0.97. By using TaqMan quantitative real-time PCR we were able to detect 1 to 41 copies of transgenes per haploid genome in the DNA of homozygous T4 transformants. Although a slight variability was observed among PCR experiments, in our study we found real-time PCR to be a fast, sensitive and reliable method for the detection of transgene copy number in durum wheat, and a useful adjunct to Southern blot and FISH analyses to detect the presence of transgenic DNA in plant material.


Author(s):  
Anuradha Ramamoorthy ◽  
David A. Flockhart ◽  
Naoya Hosono ◽  
Michiaki Kubo ◽  
Yusuke Nakamura ◽  
...  

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