Preclinical, Clinical, and Translational Sciences
Effectiveness of Droplet Digital PCR (ddPCR) and Hybridization (ECLIA) for Bioanalysis and Biodistribution of Gene Therapy Products
Michael Thwaites, PhD
Scientist, Immunology
ITR Laboratories Canada Inc.
Baie D'Urfe, Quebec, Canada
Michael Thwaites, PhD
Scientist, Immunology
ITR Laboratories Canada Inc.
Baie D'Urfe, Quebec, Canada
Jose Leiva, BSc
Associate Director, Immunology
ITR Laboratories Canada Inc.
Baie D'Urfe, Quebec, Canada
Thomas Webster, BSc
Analyst, Immunology
ITR Laboratories Canada Inc.
Baie D'Urfe, Quebec, Canada
Joseph Younan, BSc, Dipl Ecotox
Vice President, Sciences
ITR Laboratories Canada Inc.
Baie D'Urfe, Quebec, Canada
Christian Giordano, PhD
Senior Director, Laboratory Sciences
ITR Laboratories Canada Inc.
Baie D'Urfe, Quebec, Canada
Kylin Gao, BSc
Analyst, Immunology
ITR Laboratories Canada Inc.
Baie D'Urfe, Quebec, Canada
Yujin Han, MSc
Senior Analyst
ITR Laboratories Canada Inc.
Baie D'Urfe, Quebec, Canada
Figure 1. ddPCR analysis is an extremely precise, accurate, and sensitive method for quantifying nucleic acid-based test items. Representative power regression curve (y = mx^b) of spiked DNA template in pooled Rat plasma with a limit of detection of ~0.01 fM nominal concentration.
Figure 2. The extension of the miRNA template is an inefficient process, resulting in inconsistent results in ddPCR. Examples of Standard curves generated from hybridization-based miRNA extension and ddPCR amplification. A 4-Parameter Logistic (4PL) non-linear regression was used for analysis, y = (A-D)/(1+(X/C)^B) + D. These exemplify the non-reliability of this Hybridization/Ligation and amplification approach due to the inconsistency of the template extension.
Figure 3. Hybridization ECLIA is an effective method for bioanalysis and biodistribution analysis of microRNAs. Representative standard curves of spiked miRNA-122 template in homogenized Lung, Spleen, Lung, and Kidney. Each curve corresponds to an independent experiment and was traced using a 5-Parameter Logistic (5PL) non-linear regression, y = (A-D)/(1+eB(log(x)-C))E + D.