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[Preprint]. 2020 Sep 1:2020.07.29.20163949.
doi: 10.1101/2020.07.29.20163949.

A blueprint for academic labs to produce SARS-CoV-2 RT-qPCR test kits

Affiliations

A blueprint for academic labs to produce SARS-CoV-2 RT-qPCR test kits

Samantha J Mascuch et al. medRxiv. .

Update in

  • A blueprint for academic laboratories to produce SARS-CoV-2 quantitative RT-PCR test kits.
    Mascuch SJ, Fakhretaha-Aval S, Bowman JC, Ma MTH, Thomas G, Bommarius B, Ito C, Zhao L, Newnam GP, Matange KR, Thapa HR, Barlow B, Donegan RK, Nguyen NA, Saccuzzo EG, Obianyor CT, Karunakaran SC, Pollet P, Rothschild-Mancinelli B, Mestre-Fos S, Guth-Metzler R, Bryksin AV, Petrov AS, Hazell M, Ibberson CB, Penev PI, Mannino RG, Lam WA, Garcia AJ, Kubanek J, Agarwal V, Hud NV, Glass JB, Williams LD, Lieberman RL. Mascuch SJ, et al. J Biol Chem. 2020 Nov 13;295(46):15438-15453. doi: 10.1074/jbc.RA120.015434. Epub 2020 Sep 3. J Biol Chem. 2020. PMID: 32883809 Free PMC article.

Abstract

Widespread testing for the presence of the novel coronavirus SARS-CoV-2 in individuals remains vital for controlling the COVID-19 pandemic prior to the advent of an effective treatment. Challenges in testing can be traced to an initial shortage of supplies, expertise and/or instrumentation necessary to detect the virus by quantitative reverse transcription polymerase chain reaction (RT-qPCR), the most robust, sensitive, and specific assay currently available. Here we show that academic biochemistry and molecular biology laboratories equipped with appropriate expertise and infrastructure can replicate commercially available SARS-CoV-2 RT-qPCR test kits and backfill pipeline shortages. The Georgia Tech COVID-19 Test Kit Support Group, composed of faculty, staff, and trainees across the biotechnology quad at Georgia Institute of Technology, synthesized multiplexed primers and probes and formulated a master mix composed of enzymes and proteins produced in-house. Our in-house kit compares favorably to a commercial product used for diagnostic testing. We also developed an environmental testing protocol to readily monitor surfaces across various campus laboratories for the presence of SARS-CoV-2. Our blueprint should be readily reproducible by research teams at other institutions, and our protocols may be modified and adapted to enable SARS-CoV-2 detection in more resource-limited settings.

Keywords: DNA polymerase; SARS-CoV-2; formulation; polymerase chain reaction; reverse transcriptase; ribonuclease inhibitor; virus.

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Conflict of interest statement

Conflict of interest The authors declare that they have no conflicts of interest with the contents of this article.

Figures

Figure 1.
Figure 1.
Project components and workflow.
Figure 2.
Figure 2.. Performance of Georgia Tech multiplex primers and probes in several commercially available master mixes.
GT multiplex primer/probe performance in commercial TaqPath, TaqPath Multiplex, and TaqMan Fast Virus 1-Step master mixes. Commercial master mix identity had no detectable impact on performance of the GT-made multiplex primer/probe mix. Due to the proximity of FAM and HEX channels, bleed-through from the FAM into the HEX channel was observed (see bottom nCov plasmid panels), but was of lower intensity than signal generated by the HEX-RP-BHQ1 probe (see top panels) and did not interfere with analyses when the HEX fluorescence threshold (blue dashed line) was set above the bleed-through noise. Template in the top row consisted of synthetic SARS-CoV-2 RNA (ATCC) mixed with HEK293T RNA. Results are consistent with those expected for a positive patient sample. A negative sample would consist of a single amplification curve in the HEX channel (blue line). Template in the bottom row was 2019_nCoV_N_Positive Control (IDT) plasmid DNA. Results are plotted logarithmically.
Figure 3.
Figure 3.. Performance of GT RT-qPCR master mix.
RT-qPCRs were performed with the Georgia Tech thermal cycling conditions (Table 2) and GT-Master Mix components (Table 4) with ATCC synthetic viral RNA (ATCC® VR-3276SD™) and Ct values determined using a threshold of 0.1 unless otherwise noted. (A) Effect of CHAPSO (0.1%) and BSA (0.5 mg/mL) on GT master mix performance with IDT N1 primers and 50,000 copies of synthetic viral RNA. The no template control did not amplify. (B) Performance of GT multiplex primers and probes with 50,000 copies viral RNA with GT-Master Mix, compared to TaqPath, and effect of trehalose (9.5%). (C) Performance of GT-Master Mix (MM) with IDT N1 primers and 500 copies of synthetic viral RNA, compared to TaqPath, after three freeze/thaw cycles (six days of storage) at 2x concentration. Inset: Ct for GT-Master Mix and TaqPath over six days of storage. (D) qPCR efficiency (E = 10 (−1/slope) −1) using auto threshold. GT-Master Mix and GT multiplex primers (N1 and N2 FAM readout, blue): 91.6%; GT-Master Mix and GT singleplex primers (brown): 87.8% for GT-N1 primer/probe (diamond), 77.1% GT-N2 primer/probe (triangle), 86.4% GT-RP primer/probe (inverted triangle); 100.3% TaqPath with GT-N1 primer/probe (red). Singleplex RT-qPCRs were performed with a mix of full-length viral RNA and HEK293T total RNA.
Figure 4.
Figure 4.. Environmental testing protocol and qPCR standard curve.
(A) Environmental testing protocol (see text). (B) Standard curves used to calculate the magnitude of environmental surface contamination and qPCR efficiencies (E = 10 (−1/slope) −1) using TaqPath and IDT CDC primers and probes. Left template, quantitative synthetic SARS-CoV-2 RNA (ATCC #VR-3276SD), N1 r2=0.9933, N2 r2=0.9936. Right template, positive control plasmid viral DNA (IDT #10006625), N1 r2= 0.9965, N2 r2=0.9917.

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