Optimising droplet digital PCR analysis approaches for detection and quantification of bacteria: a case study of fire blight and potato brown rot

2014 ◽  
Vol 406 (26) ◽  
pp. 6513-6528 ◽  
Author(s):  
Tanja Dreo ◽  
Manca Pirc ◽  
Živa Ramšak ◽  
Jernej Pavšič ◽  
Mojca Milavec ◽  
...  
Chimerism ◽  
2013 ◽  
Vol 4 (3) ◽  
pp. 102-108 ◽  
Author(s):  
David George ◽  
Juliann Czech ◽  
Bobby John ◽  
Min Yu ◽  
Lawrence J. Jennings

2016 ◽  
Vol 61 ◽  
pp. S185
Author(s):  
A. Chiu ◽  
G. Brady ◽  
M. Ayub ◽  
C. Dive ◽  
C. Miller

2020 ◽  
Vol 8 (5) ◽  
pp. 701 ◽  
Author(s):  
Raphael Nyaruaba ◽  
Jin Xiong ◽  
Caroline Mwaliko ◽  
Nuo Wang ◽  
Belindah J. Kibii ◽  
...  

Droplet digital PCR (ddPCR) is a third generation of PCR that was recently developed to overcome the challenges of real-time fluorescence-based quantitative PCR (qPCR) in absolute quantification of pathogens. Few studies have been done on tuberculosis (TB) detection and quantification using ddPCR despite its many advantages over qPCR. From the few studies, none explores a single dye duplex assay for the detection and quantification of TB. In this study, steps toward developing and evaluating a duplex single dye (FAM) assay for detecting two targets (IS6110 and IS1081) are clearly described using simplex and duplex experiments. To achieve this, various parameters are investigated, including annealing temperature, primer and probe concentration, sensitivity and specificity, sample concentration, and inter/intra-assay variability. From the results, primer and probe concentration, annealing temperature, and sample concentration have an effect on the position and separation of droplets in both simplex and duplex assays. The copies of target genes in a duplex assay can be estimated accurately using the threshold tool with little inter-assay (CV <1%) and intra-assay (CV <6%) variability when compared to simplex assays. The ddPCR assay specificity and sensitivity are both 100% when compared to qPCR. This work shows steps toward the detection and quantification of two targets in a single channel, enabling higher multiplexing to include more targets in future works.


BMC Cancer ◽  
2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Joost H. van Ginkel ◽  
Manon M. H. Huibers ◽  
Robert J. J. van Es ◽  
Remco de Bree ◽  
Stefan M. Willems

2017 ◽  
Vol 33 (17) ◽  
pp. 2743-2745 ◽  
Author(s):  
Anthony Chiu ◽  
Mahmood Ayub ◽  
Caroline Dive ◽  
Ged Brady ◽  
Crispin J Miller

Biology ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 379
Author(s):  
Salvatore Crimi ◽  
Luca Falzone ◽  
Giuseppe Gattuso ◽  
Caterina Maria Grillo ◽  
Saverio Candido ◽  
...  

Despite the availability of screening programs, oral cancer deaths are increasing due to the lack of diagnostic biomarkers leading to late diagnosis and a poor prognosis. Therefore, there is an urgent need to discover novel effective biomarkers for this tumor. On these bases, the aim of this study was to validate the diagnostic potential of microRNAs (miRNAs) through the analysis of liquid biopsy samples obtained from ten oral cancer patients and ten healthy controls. The expression of four selected miRNAs was evaluated by using droplet digital PCR (ddPCR) in a pilot cohort of ten oral cancer patients and ten healthy donors. Bioinformatics analyses were performed to assess the functional role of these miRNAs. The expression levels of the predicted down-regulated hsa-miR-133a-3p and hsa-miR-375-3p were significantly reduced in oral cancer patients compared to normal individuals while no significant results were obtained for the up-regulated hsa-miR-503-5p and hsa-miR-196a-5p. ROC analysis confirmed the high sensitivity and specificity of hsa-miR-375-3p and hsa-miR-133a-3p. Therefore, both miRNAs are significantly down-regulated in cancer patients and can be used as biomarkers for the early diagnosis of oral cancer. The analysis of circulating miRNAs in a larger series of patients is mandatory to confirm the results obtained in this pilot study.


Author(s):  
Tigst Demeke ◽  
Monika Eng ◽  
Michelle Holigroski ◽  
Sung-Jong Lee

Abstract Low-level detection and quantification of genetically engineered (GE) traits with polymerase chain reaction (PCR) is challenging. For unapproved GE events, any level of detection is not acceptable in some countries because of zero tolerance. Droplet digital PCR (ddPCR) has been successfully used for absolute quantification of GE events. In this study, reliability of low level quantification of GE events with ddPCR was assessed using a total of 50, 100, 200, 400, and 600 ng DNA spiked at 0.01% and 0.1% concentration levels. Genetically engineered canola (GT73 and MON88302 events) and soybean (A2704-12 and DP305423 events) events were used for the study. For samples spiked at 0.1% level, reliable quantification was achieved for the four GE events using 50 or 100 ng DNA. Few target droplets were generated for 0.01% spiked GE samples using 50 and 100 ng DNA. Increasing the amount of DNA for ddPCR generated more number of target droplets. For GE canola events, the use of 400 and 600 ng DNA for ddPCR resulted in saturation. The use of multiple wells of 200 ng DNA (instead of 400 and 600 ng per well) helped to overcome the saturation problem. Overall, the use of high amount of DNA for ddPCR was helpful for the detection and quantification of 0.01% GE samples.


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