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Comparison and evaluation of RNA quantification methods using viral, prokaryotic, and eukaryotic RNA over a 10 concentration range
Authors:Roman Aranda IV  Shauna M. Dineen  Rhonda L. Craig  James M. Robertson
Affiliation:a Visiting Scientist, Federal Bureau of Investigation, Quantico, VA 22135, USA
b Counterterrorism and Forensic Science Research Unit, Federal Bureau of Investigation, Quantico, VA 22135, USA
c DNA Analysis Unit I, Federal Bureau of Investigation, Quantico, VA 22135, USA
Abstract:Quantification of RNA is essential for various molecular biology studies. In this work, three quantification methods were evaluated: ultraviolet (UV) absorbance, microcapillary electrophoresis (MCE), and fluorescence-based quantification. Viral, bacterial, and eukaryotic RNA were measured in the 500 to 0.05-ng μl−1 range via an ND-1000 spectrophotometer (UV), Agilent RNA 6000 kits (MCE), and Quant-iT RiboGreen assay (fluorescence). The precision and accuracy of each method were assessed and compared with a concentration derived independently using inductively coupled plasma-optical emission spectroscopy (ICP-OES). Cost, operator time and skill, and required sample volumes were also considered in the evaluation. Results indicate an ideal concentration range for each quantification technique to optimize accuracy and precision. The ND-1000 spectrophotometer exhibits high precision and accurately quantifies a 1-μl sample in the 500 to 5-ng μl−1 range. The Quant-iT RiboGreen assay demonstrates high precision in the 1 to 0.05-ng μl−1 range but is limited to lower RNA concentrations and is more costly than the ND-1000 spectrophotometer. The Agilent kits exhibit less precision than the ND-1000 spectrophotometer and Quant-iT RiboGreen assays in the 500 to 0.05-ng μl−1 range. However, the Agilent kits require 1 μl of sample and can determine the integrity of the RNA, a useful feature for verifying whether the isolation process was successful.
Keywords:RNA   Quantification   NanoDrop   Agilent   RiboGreen Quant-iT   ICP-OES   RT-PCR
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