tetano
Editor, Senior Moderator
Talanta
. 2021 Jun 1;228:122227.
doi: 10.1016/j.talanta.2021.122227. Epub 2021 Feb 22.
Quantitative analysis of RNA by HPLC and evaluation of RT-dPCR for coronavirus RNA quantification
Chunyan Niu[SUP] 1 [/SUP], Lianhua Dong[SUP] 2 [/SUP], Yunhua Gao[SUP] 2 [/SUP], Yongzhuo Zhang[SUP] 2 [/SUP], Xia Wang[SUP] 2 [/SUP], Jing Wang[SUP] 3 [/SUP]
Affiliations
Abstract
Nucleic acid detection and quantification have been known to be important at various fields, from genetically modified organisms and gene expression to virus detection. For DNA molecules, digital PCR has been developed as an absolute quantification method which is not dependent on external calibrators. While when it comes to RNA molecules, reverse transcription (RT) step must be taken before PCR amplification to obtain cDNA. With different kinds of reverse transcriptase (RTase) and RT reaction conditions being used in laboratory assays, the efficiency of RT process differs a lot which led variety in quantification results of RNA molecules. In this study, we developed HPLC method combined with enzymatic digestion of RNA to nucleotides for quantification of RNA without RT process. This method was metrologically traceable to four nuceloside monophosphate (NMP) Certification Reference Materials of National Institute of Metrology, China (NIMC) for insurance of accuracy. The established method was used to evaluate the reverse transcription digital polymerase chain reaction (RT-dPCR) of three target genes of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) RNA, including open reading frame 1ab (ORF1ab), nucleocapsid protein (N) and envelope protein (E) gene. Three available RT kits had been evaluated and disparities were observed for the RT efficiency varied from 9% to 182%. It is thus demonstrated that HPLC combined with enzymatic digestion could be a useful method to quantify RNA molecules and evaluate RT efficiency. It is suggested that RT process should be optimized and identified in RNA quantification assays.
Keywords: HPLC; MERS; Quantification; RNA; Reverse transcription; dPCR.
. 2021 Jun 1;228:122227.
doi: 10.1016/j.talanta.2021.122227. Epub 2021 Feb 22.
Quantitative analysis of RNA by HPLC and evaluation of RT-dPCR for coronavirus RNA quantification
Chunyan Niu[SUP] 1 [/SUP], Lianhua Dong[SUP] 2 [/SUP], Yunhua Gao[SUP] 2 [/SUP], Yongzhuo Zhang[SUP] 2 [/SUP], Xia Wang[SUP] 2 [/SUP], Jing Wang[SUP] 3 [/SUP]
Affiliations
- PMID: 33773731
- DOI: 10.1016/j.talanta.2021.122227
Abstract
Nucleic acid detection and quantification have been known to be important at various fields, from genetically modified organisms and gene expression to virus detection. For DNA molecules, digital PCR has been developed as an absolute quantification method which is not dependent on external calibrators. While when it comes to RNA molecules, reverse transcription (RT) step must be taken before PCR amplification to obtain cDNA. With different kinds of reverse transcriptase (RTase) and RT reaction conditions being used in laboratory assays, the efficiency of RT process differs a lot which led variety in quantification results of RNA molecules. In this study, we developed HPLC method combined with enzymatic digestion of RNA to nucleotides for quantification of RNA without RT process. This method was metrologically traceable to four nuceloside monophosphate (NMP) Certification Reference Materials of National Institute of Metrology, China (NIMC) for insurance of accuracy. The established method was used to evaluate the reverse transcription digital polymerase chain reaction (RT-dPCR) of three target genes of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) RNA, including open reading frame 1ab (ORF1ab), nucleocapsid protein (N) and envelope protein (E) gene. Three available RT kits had been evaluated and disparities were observed for the RT efficiency varied from 9% to 182%. It is thus demonstrated that HPLC combined with enzymatic digestion could be a useful method to quantify RNA molecules and evaluate RT efficiency. It is suggested that RT process should be optimized and identified in RNA quantification assays.
Keywords: HPLC; MERS; Quantification; RNA; Reverse transcription; dPCR.