Literature DB >> 33330883

IGI-LuNER: single-well multiplexed RT-qPCR test for SARS-CoV-2.

Elizabeth C Stahl, Connor A Tsuchida, Jennifer R Hamilton, Enrique Lin-Shiao, Shana L McDevitt, Erica A Moehle, Lea B Witkowsky, C Kimberly Tsui, Kathleen Pestal, Holly K Gildea, Matthew McElroy, Amanda Keller, Iman Sylvain, Clara Williams, Ariana Hirsh, Alison Ciling, Alexander J Ehrenberg, Fyodor D Urnov, Bradley R Ringeisen, Petros Giannikopoulos, Jennifer A Doudna.   

Abstract

Commonly used RT-qPCR-based SARS-CoV-2 diagene">nostics require 2-3 separate reactioene">ns or rely oene">n detectioene">n of a single viral target, adding time aene">nd cost or risk of false-negative results. Curreene">ntly, no test combines detectioene">n of widely used n class="Species">SARS-CoV-2 E- and N-gene targets and a sample control in a single, multiplexed reaction. We developed the IGI-LuNER RT-qPCR assay using the Luna Probe Universal One-Step RT-qPCR master mix with publicly available primers and probes to detect SARS-CoV-2 N gene, E gene, and human RNase P (NER). This combined, cost-effective test can be performed in 384-well plates with detection sensitivity suitable for clinical reporting, and will aid in future sample pooling efforts, thus improving throughput of SARS-CoV-2 detection.

Entities:  

Year:  2020        PMID: 33330883      PMCID: PMC7743092          DOI: 10.1101/2020.12.10.20247338

Source DB:  PubMed          Journal:  medRxiv


Introduction

Late in 2019, a novel coronavirus termed n class="Species">SARS-CoV-2 emerged in Wuhan, China and quickly spread across the globe, prompting shelter-in-place and social distancing mandates[1-3]. One year later, over 63.5 million infections and 1.4 million deaths have been attributed to the virus globally[4]. A vital component of the public health response to slow the spread of the SARS-CoV-2 is diagnostic testing to identify positive patients, followed by isolation and contact tracing[5]. Quantitative reverse transcription polymerase chain reaction (RT-qPCR) of RNA extracted from nasal swabs is the most common diagnostic testing method to detect SARS-CoV-2[6,7]. Current tests rely on the detection of genomic or sub-genomic viral RNA correspoene">nding to the n class="Gene">envelope (E) gene, the nucleocapsid (N) gene, the spike (S) gene, and/or the ORF1ab locus[8-10], as well as suitable controls. However, variability in test format as well as reagent availability, quality, and cost continue to hamper widespread use for both symptomatic and asymptomatic testing. One commercially available test entered the scene early, allowing clinical laboratories to rapidly detect multiple viral genes and control RNA in a single reaction; however, this test has reported risks of yielding inaccurate results[11] and suffers from supply shortages and high cost. Another less-expensive test detects only a single viral locus, which can lead to false-negative results[12,13] and several tests require 2–3 separate PCR reactions to yield clinical results[9,14,15]. To address these shortcomings, the IGI Clinical Laboratory[16] developed a new multiplexed assay with optimized viral and control RNA detection using inexpensive, widely available reagents. An ideal test would offer affordable and robust detection of multiple n class="Species">SARS-CoV-2 genes and a sample extraction control using a single-well multiplexed format. We began our experiments with the Saliva Direct assay[12], which utilizes the CDC’s published PCR primers and probes to detect the SARS-CoV-2 N-gene (N1) and human Ribonuclease P (RNase P) in a 96-well format. We then adapted the test to work in a 384-well format and to accurately detect viral RNA from either saliva or nasal-swab samples. Finally, we added a third target, SARS-CoV-2 E gene,[10] and demonstrated that N gene, E gene, and RNase P could be multiplexed with greater than 95% clinical concordance. This high-throughput and affordable assay is demonstrated to provide sensitive detection of SARS-CoV-2 in clinical samples.

Results

TaqMan-based RT-qPCR relies on the amplification of a reverse-transcribed product quantified in real-time by release of a fluorescent dye from a probe. By labeling different probes with spectrally distinct fluorescent dyes, such as FAM, VIC/HEX/SUn class="Gene">N, and Cy5/ATTO647, PCR reactions can be multiplexed to detect three different targets in a single reaction (Table 1).
Table 1.

Primer and probes tested for the development of the IGI-LuNER assay

Sequence (5’→3’)[a]Concentration[b]Citation
N1 Forward PrimerGACCCCAAAATCAGCGAAAT400 nM[9, 12]
N1 Reverse PrimerTCTGGTTACTGCCAGTTGAATCTG400 nM[9, 12]
N1 ProbeFAM-ACCCCGCATTACGTTTGGTGGACC-ZEN/IABkFQ200 nM[9, 12]
RNase P Forward PrimerAGATTTGGACCTGCGAGCG150 nM[9, 12]
RNase P Reverse PrimerGAGCGGCTGTCTCCACAAGT150 nM[9, 12]
RNase P ProbeATTO647-TTCTGACCTGAAGGCTCTGCGCG-TAO/IABkRQ200 nM[9, 12]
RdRp Forward PrimerGTGARATGGTCATGTGTGGCGG800 nM[10]
RdRp Reverse PrimerCARATGTTAAASACACTATTAGCATA600 nM[10]
RdRp P2 ProbeSUN-CAGGTGGAACCTCATCAGGAGATGC-ZEN/IABkFQ100 nM[10]
E-Sarbeco Forward PrimerACAGGTACGTTAATAGTTAATAGCGT400 nM[10]
E-Sarbeco Reverse PrimerATATTGCAGCAGTACGCACACA400 nM[10]
E-Sarbeco ProbeSUN-ACACTAGCCATCCTTACTGCGCTTCG-ZEN/IABkFQ200 nM[10]

R is G/A; S is G/C (site of mismatch)

Concentrations are given in nanomole per liter (nM) based on the final reaction mix from 10 μM primer stock solution into 12.5 μL total reaction

To establish published duplex reactions[12] (i.e. two distinct PCR targets per well) in our facility, RT-qPCR was first performed on contrived samples for N1 aene">nd n class="Gene">RNase P using the Bio-Rad CFx96. Amplification of N1 and RNase P was observed in duplexed reactions using either full (20μL) or half-reaction volumes (Figure1A). Additionally, the duplexed reactions were successfully adapted to the Applied Biosystems QuantStudio-6 using a 384-well plate format after custom dye calibration to detect ATTO 647 (Figure 1B–C), with both the standard 2x and a newly developed 4x Luna Probe One-Step RT-qPCR master mix. This more concentrated 4x master mix contains a passive reference dye that is compatible across many instruments as well as dUTP to prevent carryover of contaminants and allows for larger sample input and multiplexing.
Figure 1.

Implementation and adaptation of the Saliva Direct RT-qPCR assay to detect SARS-CoV-2 N1 and human RNase P with the QuantStudio-6. Plasmid DNA was added directly into the master mix at 200,000 copies/mL (2–4x Saliva Direct limit of detection) in triplicate. A) Full and half reaction volumes on the CFx96 with 2x master mix, B) Full and half reaction volumes on the QuantStudio-6 with 2x master mix, D) Full and half reaction volumes on the QuantStudio-6 with 4x master mix. Samples which failed to amplify are denoted as “not detected” (ND).

There was no change in the average Ct values between the 2x and 4x master mix formulatioene">ns oene">n the Quaene">ntStudio-6; however, Ct values for n class="Gene">N1 increased by an average of 0.5 and RNase P by 1 in the duplexed, half-reaction volume compared to full reaction volume. There was no observed background amplification in the reaction without the addition of template DNA. Taken together, these data establish that duplexed reactions to detect N1 and RNase P can be adapted to 384-plate format and alternate instrumentation with minimal loss of sensitivity, while allowing for four-times greater sample throughput. Using a single target to detect the presence of SARS-CoV-2 in a specimeene">n may increase the risk for false-negative results[13]. Oene">ne way to improve this is by integrating a secoene">nd viral target into the assay, such as the n class="Gene">N2 nucleocapsid locus[17]; however, published data show that N2 is less sensitive than N1[14]. To diversify the viral RNA regions sampled in the IGI RT-qPCR assay, both E gene and the RNA-dependent RNA polymerase (RdRp) locus of ORF1ab were evaluated[13]. RdRp-SARSr and E-Sarbeco (Charité) were successfully combined with RNase P in duplexed, half-reactions (Figure 2A–B). However, one of the three technical replicates of RdRp-SARSr was detected at a high Ct value of 36.3, identifying potential variability with these primers and probes.
Figure 2.

Evaluating E-Sarbeco and RdRp-SARSr primers and probes with RNase P on the QuantStudio-6. A) Full and half-sized reactions of E-Sarbeco on the QuantStudio-6 with 4x master mix B) Full and half-sized reactions of RdRp on the QuantStudio-6 with 4x master mix. Plasmid DNA was added directly into the master mix at 200,000 copies/mL (2–4x Saliva Direct limit of detection) in triplicate. C) Evaluation of corrected RdRp reverse primers at two different concentrations on pooled RNA eluted from positive clinical swab samples in triplicate. p<0.001 (*) between mismatch and corrected at 400nM and between both concentrations of primers. Not significant (ns). D) E-Sarbeco primers and probes multiplexed with N1 and RNase P in a single half-sized reaction on the QuantStudio-6 with 4x master mix.

The RdRp primers are recommeene">nded to be used at high coene">nceene">ntratioene">ns of 600–800ene">nM[10] aene">nd were fouene">nd to be less seene">nsitive thaene">n other commoene">nly used n class="Species">SARS-CoV-2 reagents, potentially due to a mismatch between the reverse primer and viral genome[14]. In order to control for the mismatch, we designed custom primers where G/C at position 12 was corrected to T. Correcting the mismatch improved the average Ct value by 1.1 (from Ct=31.4 to 30.3) when the reverse primer was tested at a final concentration of 400nM (p<0.01, Figure 2c). Interestingly, at the higher concentration, there was no difference in Ct values between the mismatch and corrected primers (Ct =26.8 to 27.0), suggesting the mismatch is not the primary cause of reduced sensitivity. The necessity of using high primer concentrations for the RdRp target makes it impossible to multiplex with N1 and RNase P using the standard 2x master mix. Multiplexing was achieved using the 4x master mix by increasing the stock concentrations of primers and probes. These data suggest multiplexing with existing RdRp primers and probes is challenging but can be achieved if reagents are amenable to smaller input volumes. The E-Sarbeco primers and probes were successfully multiplexed in PCR reactioene">ns using both the 2x aene">nd 4x master mix forn class="Gene">mulations at the standard input concentration of 10μM (Figure 2D) for a final primer concentration of 400nM, demonstrating superior performance over RdRp. Therefore, we have selected the 4x Luna master mix to detect N-gene, E-gene, and RNase P (NER) as the final formulation of our multiplexed assay, hereafter referred to as IGILuNER. Validation studies using the IGI-LuNER assay were performed to define the limit of detection, demonstrate reproducibility, and determine clinical concordance. To determine the limit of detection (LoD), heat-inactivated SARS-CoV-2, measured as fifty-perceene">nt tissue culture iene">nfective dose per milliliter (TCID50/ml), was n class="Gene">spiked into negative sample matrix generated from clinically reported negative oropharyngeal (OP)/mid-turbinate swab specimens. RNA extraction was performed with the MagMax Viral/Pathogen Nucleic Acid Isolation Kit using the Hamilton Vantage liquid-handling system, as described previously[16]. Following RNA extraction, samples were analyzed with the IGI-LuNER RT-qPCR assay. At 0.1 TCID50/mL, E gene was detected in 2 out of 3 replicates, and N gene was undetected. At 0.5 TCID50/mL, E gene was measured at Ct = 37.1 ± 2.95, and N gene was measured at Ct = 33.93 ± 0.52 in all three replicates, demonstrating the lowest concentration where all samples were called positive and thus the tested limit of detection (Figure 3A).
Figure 3.

Limit of detection and reproducibility. A) The limit of detection was defined by extracting RNA from heat inactivated virus at concentrations ranging from 50 TCID50/mL to 0.1 TCID50/mL and performing RT-qPCR with the LuNER reagents. B) Twenty replicates at 2x LoD (1 TCID50/mL) were prepared by extracting RNA from heat inactivated virus and performing RT-qPCR with the LuNER reagents to test for reproducibility. Samples were positive if either N gene or E gene was detected at a Ct value < 40. Samples that did not amplify or had Ct values >=40 are shown on the x-axis. C) Controls for the LuNER assay are valid, including negative buffer-only control (“NC”), human RNA control (“HC”), qPCR negative, and qPCR positive controls.

In order to evaluate whether the IGI-LuNER assay would returene">n reproducible Ct values, 20 coene">ntrived replicates were prepared using heat-inactivated virus at 2x the defined LoD in negative sample matrix. All 20 samples at 1 TCID50/mL were reproducibility detected (Figure 3B, average n class="Gene">RNase P Ct = 20.4 ± 0.1, E gene Ct = 31.5 ± 0.4, N gene Ct = 30.6 ± 0.7) along with experimental controls (Figure 3C) below the Ct cutoff of 40. Finally, to assess how the IGI-LuNER assay performs oene">n clinical samples, 91 previously reported positive aene">nd negative samples from the IGI Clinical Laboratory were selected for a head-to-head comparisoene">n of the TaqPath RT-PCR n class="Disease">COVID-19 kit (ThermoFisher) and the IGI-LuNER assay (Figure 4A). Internal validation criteria were defined as 95% negative agreement and 95% positive agreement. Samples were stored at 4°C for 3–15 weeks prior to RNA extraction to evaluate clinical concordance with new RT-qPCR reagents.
Figure 4.

Clinical concordance. A) RNA was extracted from known clinical samples and reanalyzed with the TaqPath COVID-19 kit or IGI-LuNER assay. B) Ct value comparisons for the 61 expected positive samples show 9 negative samples in the IGI-LuNER assay (pink lines), which were also negative in the TaqPath COVID-19 kit. An additional 10 samples assayed with the TaqPath COVID-19 kit returned an alternative result. C) Ct value comparison for N-gene between the IGI-LuNER and TaqPath assays shows strong concordance. Pink lines reflect samples in the TaqPath kit that returned inconclusive or invalid results despite amplifying N-gene in the expected positive samples. Logic gating for possible sample results is listed in the Methods.

All 30 of the expected negative samples returned a negative result with the IGI-LuNER assay, with aene">n average n class="Gene">RNase P Ct = 24.05 ± 1.08, whereas the TaqPath RT-PCR COVID-19 kit returned 26 negative and 4 invalid results, due to failure of the extraction control, MS2 phage, to be detected (Table 2 and Supplemental Table 1). Of the 61 expected positive samples, 53 resulted positive with the IGI-LuNER assay, while 8 samples resulted as negative. The same group of 8 discordant samples returned either a negative, invalid, or inconclusive result with the TaqPath RT-PCR COVID-19 kit, along with an additional 10 samples that failed to return the expected positive result (Figure 4B). These additional non-positive samples in the TaqPath group were skewed towards higher Ct values. Comparisons of N gene, S gene, and orf1ab showed that samples with originally high Ct values were less likely to be detected upon retesting with both the TaqPath and IGI-LuNER assays, rather than samples that had been stored for the longest duration; and the IGI-LuNER assay demonstrated superior sensitivity to detect positive samples in this experiment (Supplemental Figures 1 and 2).
Table 2.

Clinical evaluation of IGI-LuNER RT-qPCR with matched swab samples

TaqPathTaqPathIGI-LuNERTaqPathTaqPathIGI-LuNERTaqPathTaqPathIGI-LuNER
SampleOriginalRe-TestRe-TestSampleOriginalRe-TestRe-TestSampleOriginalRe-TestRe-Test
A1NEGNEGNEGA13POSPOSPOSK13POSPOSPOS
A3NEGNEGNEGA19POSPOSPOSK17POSPOSPOS
A5NEGNEGNEGA21POSPOSPOSK21POSPOSPOS
A7NEGNEGNEGA23POSPOSPOSM9POSPOSPOS
C1NEGNEGNEGC15POSPOSPOSM11POSPOSPOS
C3NEGNEGNEGC17POSPOSPOSM13POSPOSPOS
C5NEGNEGNEGC19POSPOSPOSM21POSPOSPOS
C7NEGINVALIDNEGC21POSPOSPOSO11POSPOSPOS
E1NEGNEGNEGC23POSPOSPOSO13POSPOSPOS
E3NEGNEGNEGE11POSPOSPOSO17POSPOSPOS
E5NEGNEGNEGE13POSPOSPOSO21POSPOSPOS
E7NEGNEGNEGE15POSPOSPOSO23POSPOSPOS
G1NEGNEGNEGE19POSPOSPOSA11POSNEGNEG
G3NEGNEGNEGE23POSPOSPOSC13POSNEGNEG
G5NEGNEGNEGG9POSPOSPOSE9POSNEGPOS
I1NEGNEGNEGG11POSPOSPOSE17POSNEGNEG
I3NEGNEGNEGG13POSPOSPOSE21POSNEGNEG
I5NEGNEGNEGG15POSPOSPOSK23POSNEGNEG
I7NEGNEGNEGG17POSPOSPOSI15POSINVALIDPOS
K1NEGNEGNEGG19POSPOSPOSK19POSINVALIDPOS
K3NEGINVALIDNEGG21POSPOSPOSO9POSINVALIDPOS
K5NEGNEGNEGG23POSPOSPOSO15POSINVALIDNEG
K7NEGNEGNEGI9POSPOSPOSA15POSINC.NEG
M1NEGNEGNEGI11POSPOSPOSA17POSINC.POS
M3NEGNEGNEGI13POSPOSPOSC11POSINC.POS
M5NEGINVALIDNEGI17POSPOSPOSI19POSINC.POS
M7NEGNEGNEGI21POSPOSPOSK15POSINC.POS
O1NEGNEGNEGI23POSPOSPOSM15POSINC.POS
O3NEGNEGNEGK9POSPOSPOSM17POSINC.NEG
O5NEGINVALIDNEGK11POSPOSPOSM23POSINC.POS
O19POSINC.POS
Ct value comparisons between N geene">ne in the two assays were very similar: of the paired measuremeene">nts, the IGI-Lun class="Gene">NER assay returned a lower Ct value from 30 of the samples (Ct decreased by 0.86 ± 0.43) and greater Ct value from 16 of the samples (Ct increased by 0.84 ± 0.83, Figure 4C). In summary, the IGI-LuNER showed 100% negative agreement with the original sample results and 90% positive agreement with the original sample result, where the discordant samples were in 100% agreement when retested using the TaqPath RT-PCR COVID-19 kit, surpassing the validation criteria.

Discussion

The 2020 SARS-CoV-2 paene">ndemic has cast aene">n uene">nprecedeene">nted level of atteene">ntioene">n oene">n technical specificatioene">ns of PCR-based tests as well as their affordability aene">nd supply chain depeene">ndeene">nce. Oene">ne of the drawbacks of PCR diagene">nostics is the leene">ngthy turene">narouene">nd time due to the complexity of molecular biology techniques involved. Performing PCR reactioene">ns in a 384-well format allows for a greater number of samples to be processed each day, resulting in shorter turene">narouene">nd times, aene">nd also reduces the cost per sample by lowering reageene">nt volumes aene">nd thus supply chain depeene">ndeene">nce. While other groups have adopted extractioene">n-free methods, 384-well formats, or n class="Gene">multiplexed PCR reactions to improve turnaround times, these assays are limited by the fact that they 1) target a single site in the viral genome, 2) require 2–3 separate PCR reactions, or 3) utilize proprietary primer and probe sequences that are expensive and/or not widely available[18]. The IGI-LuNER assay addresses these shortcomings by combining affordable, publicly and commercially available SARS-CoV-2 reagents into a multiplexed 384-well reaction. We show that the IGI-LuNER assay has improved sensitivity and greater than 95% clinical concordance compared to a similar multiplexed assay. The IGI-LuNER assay is estimated to cost $1.26 per reactioene">n, a 6–12x reductioene">n in cost from other commercially available tests. Additioene">nally, the IGI-Lun class="Gene">NER assay eliminates sample “Inconclusive” results based on amplification of only one viral gene and will likely reduce the number of “Invalid” results by implementing an internal human extraction control, thereby reducing the number of samples that must be re-tested for further cost and reagent savings. Of note, the RNase P primers designed by the CDC may amplify both RNA and genomic DNA[19]; thus using a redesigned RNase P reverse primer that specifically detects RNA or incorporating DNase digestion of the sample prior to RT-qPCR may improve the test further. Although vaccines are expected to be administered in early 2021, diagnostic testing for SARS-CoV-2 will remain necessary for surveillance. The IGI-LuNER assay will improve accessibility for SARSCoV-2 testing by reducing costs and can be easily adapted to detect new SARS-CoV-2 variants or novel pathogens in the future.

Methods:

Optimization of multiplexed RT-qPCR assay

Experiments were performed by adding 5μL of positive control plasmid DNA eene">ncoding n class="Gene">N-gene (2019-nCoV_N_Positive Control, IDT, Coralville, Iowa), RNase P (Hs_RPP30 Positive Control, IDT), E-gene (2019-nCoV_E Positive Control, IDT), and RdRp (2019-nCoV_RdRp (ORF1ab) Positive Control, IDT)) at 200,000 copies/mL directly into 15μL (full reactions) or 7.5μL (half reactions) of master mix in 96 or 384-well plates (ThermoFisher, Waltham, MA). The master mix was composed of Luna Probe Universal One-Step RT-qPCR (New Eene">nglaene">nd Biolabs, Ipswich, MA E3006, E3007, or M3019) aene">nd combinatioene">ns of n class="Gene">N1 primers (nCOV_N1 Forward Primer and nCOV_N1 Reverse Primer, IDT), N1 (FAM) probe (nCOV_N1 Probe, IDT), E-Sarbeco primers (E_Sarbeco_F1 Forward Primer and E_Sarbeco_R2 Reverse Primer, IDT), E-Sarbeco (FAM/SUN) probe (E_Sarbeco_P1 Probe, IDT), RdRp primers (RdRP_SARSr_F2 Forward Primer and RdRP_SARSr_R1 Reverse Primer, IDT), RdRp (FAM/SUN) P2 Probe (RdRP_SARSr_P2 Probe, IDT), RNase P primers (RNase P Forward Primer and RNase P Reverse Primer, IDT), and RNase P (ATTO 647) Probe (IDT) diluted in nuclease-free water. Final concentrations of individual primers and probes are listed in Table 1. The input concentration of the primers and probes was 10μM unless otherwise noted. The following thermal cycling conditions were used on the CFx96 (Bio-Rad, Hercules CA) aene">nd Quaene">ntStudio-6 (Applied Biosystems, Foster City, CA): 10 minutes at 52°C, 2 minutes at 95°C, 45 cycles with 10 secoene">nds at 95°C aene">nd 30 secoene">nds at 55°C. Data was collected for FAM, Cy5/ATTO 647 (custom dye), aene">nd VIC (SUn class="Gene">N). Data was analyzed using the Design and Analysis software (ThermoFisher). Ct values were exported into Excel version 16.42 (Microsoft Office, Redmond WA) and plotted with Prism 8.4.3 (Graphpad, San Diego, CA) as the average value ± standard deviation.

Acquisition and Processing of Clinical Samples

The Innovative Genomics Institute Clinical Laboratory (IGI) is a high-complexity, CLIA-certified laboratory, licensed to operate in the State of California through the California Department of Public Health. We confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.

RNA Extraction of Clinical Samples

Oropharyngeal (OP, Improve Medical, China) swabs were used to collect OP/mid-turbinate samples from individuals at walk-up testing centers in Berkeley, CA. Swabs were transported to the IGI Clinical Laboratory in 4mL of 2x DNA/RNA Shield (Zymo Research, Irvine CA), diluted to 1x with sterile phosphate buffered saline, pH 7.4 (Gibco, Gaithersburg, MD). Samples were kept at 4°C until 450μL was aliquoted into 96-well deep-well plates (Axygen, San Francisco CA) with the Microlab STARlet liquid-handling robot (Hamilton, Reno NV). RNA extraction was performed on the Vantage liquid handling system (Hamilton) with the MagMax Viral/Pathogen Nucleic Acid Isolation Kit (Applied Biosystems), according to the manufacturer’s instructions, with the exception of omitting MS2 spike-in for the IGI-LuNER assay. Final RNA elution volume was 22μL. RNA was stored at −80°C or arrayed into 384-well master mix plates on the Vantage liquid-handling system (5μL of sample into 7.5μL master mix) for RT-qPCR.

Limit of Detection

Heat-inactivated virus was generated in the BSL3 laboratory at the University of California, Berkeley. Briefly, SARS-CoV-2 was cultured iene">n n class="CellLine">Vero E6 cells and titers were determined using cytopathic effect (CPE) assays. Viral samples were incubated at 37°C for 30 minutes in the presence of 0.5 mg/mL proteinase K, followed by 75°C for 30 minutes. The starting titer was 158,000 TCID50/mL. To determine the limit of detection, six clinically reported negative samples (OP/mid-turbinate swabs in 4mL of 1x RNA/DNA shield) were pooled to generate a negative sample matrix for spike-in experiments. 45μL of 10x heat-inactivated virus was added to 405μL of sample matrix to generate 450μL of material for RNA extraction using the methods described above at final concentrations of 50, 10, 5, 1, 0.5, and 0.1 TCID50/mL in triplicate. Following RNA extraction, the samples were arrayed into the LuNER master mix as described above and RT-qPCR was performed using half-reaction volumes on the QuantStudio-6. Data was analyzed using the Design and Analysis software (ThermoFisher). Ct values were exported into Excel version 16.42 (Microsoft Office, Redmond WA) and plotted with Prism 8.4.3 (Graphpad, San Diego, CA) as the average value ± standard deviation.

Reproducibility

Eight clinically reported negative samples (OP/mid-turbinate swabs in 4mL of 1x RNA/Dn class="Gene">NA shield) were pooled to generate a negative sample matrix for spike-in experiments. 45μL of 10x heat-inactivated virus was added to 405μL of sample matrix to generate 450μL of material for RNA extraction using the methods described above at a final concentration of 1 TCID50/mL with twenty-replicates each.

Clinical Concordance

91 OP/mid-turbinate samples with clinically reported results (61 positive, 30 negative), based on original RNA extractioene">n with the MagMax Viral/Pathogeene">n n class="Gene">Nucleic Acid Isolation Kit and the TaqPath RT-PCR COVID-19 kit (ThermoFisher), were arrayed from the original tubes (containing residual volume of approximately 3.5mL of 1x DNA/RNA shield) into a 96-well deep-well plate on the Microlab STARlet. The samples and extraction controls underwent a second round of RNA extraction then RT-qPCR with the TaqPath RT-PCR COVID-19 kit and IGI-LuNER assay in parallel to study percent positive and negative agreement. Samples were stored at 4°C upon arrival and up to 15 weeks before retesting.

Sample and Control Logic and Resulting

IGI-LuNER:

The IGI-LuNER assay was developed and its performance characteristics were determined in accordance with CLIA, specifically 42 CFR 493.1253. It has been approved for clinical use by IGI’s laboratory director and should not be regarded as investigational or for research purposes. This assay has not yet been cleared or approved by the US Food and Drug Administration (FDA), since FDA does not require that this assay go through premarket FDA review, including assays related to COVID-19. The Ct cut-off of 40 was established by examining background amplification in known negative swab samples when the thresholds were set just above the negative qPCR control (water). Spurious amplificatioene">n could be occasioene">nally observed at Ct values > 42. A sample is called positive wheene">n n class="Gene">N gene or E gene has Ct values < 40 (RNase P is ignored). A sample is called negative when N gene and E gene have Ct values ≥ 40 and RNase P has a Ct value < 35. A sample is called invalid when N gene and E gene have Ct values ≥ 40 and RNase P has Ct ≥ 35. Ct values may be returned as “undetermined” if there is no amplification (treated the same as Ct ≥ 40 or ≥ 35). Samples that result as invalid are re-tested from RNA extraction. Two controls undergo the full process of RNA extractioene">n. The “n class="Gene">NC” control (50:50 2xRNA Shield:1xPBS) is valid when N gene and E gene have Ct values ≥ 40 and RNase P has Ct ≥ 35, controlling for background amplification or contamination. The “HC” control (50:50 2xRNA Shield:1xPBS with human RNA) is valid when N gene and E gene have Ct values ≥ 40 and RNase P has a Ct value < 35, controlling for non-specific amplification, contamination, and retention of genomic material. Prior to RT-qPCR, four wells in the 384-well plate receive nuclease-free water as “qPCR Negative Controls,” which are valid when N gene and E gene have Ct values ≥ 40 and RNase P has Ct ≥ 35. Additionally, four wells receive positive control DNA plasmid (“qPCR Positive Controls”) at 100,000 copies/mL and are valid when N gene and E gene have Ct values < 40 and RNase P has a Ct value < 35.

TaqPath RT-PCR:

A sample is called positive when 2 out of 3 tested viral genes have Ct values < 37 (N geene">ne, S geene">ne, n class="Gene">ORF1ab; and MS2 extraction control is ignored). A sample is inconclusive when 1 out of 3 tested viral genes have Ct values < 37 (N gene, S gene, ORF1ab) and MS2 has a Ct value < 37. A sample is called negative when 3 out of 3 viral genes have Ct values ≥ 37 and MS2 has a Ct value < 37. A sample is called invalid when 3 out of 3 viral genes have Ct values ≥ 37 and MS2 has Ct ≥ 37. Ct values may be returned as “undetermined” if there is no amplification (treated the same as Ct ≥ 37). Samples that result as invalid or inconclusive are re-tested from RNA extraction. Two controls undergo the full process of RNA extractioene">n. The “n class="Gene">NC” control (50:50 2xRNA Shield:1xPBS) is valid when all three viral genes have Ct values ≥ 37 and MS2 has Ct < 37, controlling for background amplification or contamination. The “HC” control (50:50 2xRNA Shield:1xPBS with human RNA) is valid when all three viral genes have Ct values ≥ 37 and MS2 has Ct < 37, controlling for background amplification or contamination. Prior to qRT-PCR, four wells in the 384-well plate receive nuclease-free water as “qPCR Negative Controls,” which are valid when all three viral genes have Ct values ≥ 37 and MS2 has Ct ≥ 37. Additionally, four wells receive Thermo SARS-CoV-2 positive control RNA and are valid when all three viral genes have Ct values < 37 and MS2 has Ct ≥ 37.
Sample ResultExtraction controlViral Targets
Positive-Either E-gene or N-gene Ct < 40
NegativeRNase P Ct < 35Both E-gene and N-gene Ct ≥ 40
InvalidRNase P Ct ≥ 35Both E-gene and N-gene Ct ≥ 40
ControlsValid when
NCRNase P Ct ≥ 35, both E-gene and N-gene Ct ≥ 40
HCRNase P Ct < 35, both E-gene and N-gene Ct ≥ 40
qPCR NegativeRNase P Ct ≥ 35, both E-gene and N-gene Ct ≥ 40
qPCR positiveRNase P Ct < 35, both E-gene and N-gene Ct < 40
Sample ResultExtraction spike-in control (Bacteriophage MS2)Viral Targets (S-gene, N-gene, ORF1ab)
PositiveNot required≥2 of 3 viral targets have Ct < 37
NegativeMS2 Ct < 370 viral targets have Ct < 37
InvalidMS2 Ct ≥ 370 viral targets have Ct < 37
InconclusiveMS2 Ct < 371 of 3 viral targets have Ct < 37
ControlsValid when
NCMS2 Ct < 37, 3 of 3 viral targets Ct ≥ 37
HCMS2 Ct < 37, 3 of 3 viral targets Ct ≥ 37
qPCR NegativeMS2 Ct ≥ 37, 3 of 3 viral targets Ct ≥ 37
qPCR positiveMS2 Ct ≥ 37, 3 of 3 viral targets Ct < 37
  11 in total

1.  Blueprint for a pop-up SARS-CoV-2 testing lab.

Authors: 
Journal:  Nat Biotechnol       Date:  2020-07       Impact factor: 54.908

2.  A pneumonia outbreak associated with a new coronavirus of probable bat origin.

Authors:  Peng Zhou; Xing-Lou Yang; Xian-Guang Wang; Ben Hu; Lei Zhang; Wei Zhang; Hao-Rui Si; Yan Zhu; Bei Li; Chao-Lin Huang; Hui-Dong Chen; Jing Chen; Yun Luo; Hua Guo; Ren-Di Jiang; Mei-Qin Liu; Ying Chen; Xu-Rui Shen; Xi Wang; Xiao-Shuang Zheng; Kai Zhao; Quan-Jiao Chen; Fei Deng; Lin-Lin Liu; Bing Yan; Fa-Xian Zhan; Yan-Yi Wang; Geng-Fu Xiao; Zheng-Li Shi
Journal:  Nature       Date:  2020-02-03       Impact factor: 69.504

3.  Assay Techniques and Test Development for COVID-19 Diagnosis.

Authors:  Linda J Carter; Linda V Garner; Jeffrey W Smoot; Yingzhu Li; Qiongqiong Zhou; Catherine J Saveson; Janet M Sasso; Anne C Gregg; Divya J Soares; Tiffany R Beskid; Susan R Jervey; Cynthia Liu
Journal:  ACS Cent Sci       Date:  2020-04-30       Impact factor: 14.553

4.  A new coronavirus associated with human respiratory disease in China.

Authors:  Fan Wu; Su Zhao; Bin Yu; Yan-Mei Chen; Wen Wang; Zhi-Gang Song; Yi Hu; Zhao-Wu Tao; Jun-Hua Tian; Yuan-Yuan Pei; Ming-Li Yuan; Yu-Ling Zhang; Fa-Hui Dai; Yi Liu; Qi-Min Wang; Jiao-Jiao Zheng; Lin Xu; Edward C Holmes; Yong-Zhen Zhang
Journal:  Nature       Date:  2020-02-03       Impact factor: 49.962

5.  Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR.

Authors:  Victor M Corman; Olfert Landt; Marco Kaiser; Richard Molenkamp; Adam Meijer; Daniel Kw Chu; Tobias Bleicker; Sebastian Brünink; Julia Schneider; Marie Luisa Schmidt; Daphne Gjc Mulders; Bart L Haagmans; Bas van der Veer; Sharon van den Brink; Lisa Wijsman; Gabriel Goderski; Jean-Louis Romette; Joanna Ellis; Maria Zambon; Malik Peiris; Herman Goossens; Chantal Reusken; Marion Pg Koopmans; Christian Drosten
Journal:  Euro Surveill       Date:  2020-01

6.  Identification of a Polymorphism in the N Gene of SARS-CoV-2 That Adversely Impacts Detection by Reverse Transcription-PCR.

Authors:  Manu Vanaerschot; Sabrina A Mann; James T Webber; Jack Kamm; Sidney M Bell; John Bell; Si Noon Hong; Minh Phuong Nguyen; Lienna Y Chan; Karan D Bhatt; Michelle Tan; Angela M Detweiler; Alex Espinosa; Wesley Wu; Joshua Batson; David Dynerman; Debra A Wadford; Andreas S Puschnik; Norma Neff; Vida Ahyong; Steve Miller; Patrick Ayscue; Cristina M Tato; Simon Paul; Amy L Kistler; Joseph L DeRisi; Emily D Crawford
Journal:  J Clin Microbiol       Date:  2020-12-17       Impact factor: 5.948

7.  Analytical sensitivity and efficiency comparisons of SARS-CoV-2 RT-qPCR primer-probe sets.

Authors:  Chantal B F Vogels; Anderson F Brito; Anne L Wyllie; Joseph R Fauver; Isabel M Ott; Chaney C Kalinich; Mary E Petrone; Arnau Casanovas-Massana; M Catherine Muenker; Adam J Moore; Jonathan Klein; Peiwen Lu; Alice Lu-Culligan; Xiaodong Jiang; Daniel J Kim; Eriko Kudo; Tianyang Mao; Miyu Moriyama; Ji Eun Oh; Annsea Park; Julio Silva; Eric Song; Takehiro Takahashi; Manabu Taura; Maria Tokuyama; Arvind Venkataraman; Orr-El Weizman; Patrick Wong; Yexin Yang; Nagarjuna R Cheemarla; Elizabeth B White; Sarah Lapidus; Rebecca Earnest; Bertie Geng; Pavithra Vijayakumar; Camila Odio; John Fournier; Santos Bermejo; Shelli Farhadian; Charles S Dela Cruz; Akiko Iwasaki; Albert I Ko; Marie L Landry; Ellen F Foxman; Nathan D Grubaugh
Journal:  Nat Microbiol       Date:  2020-07-10       Impact factor: 30.964

8.  Rapid deployment of SARS-CoV-2 testing: The CLIAHUB.

Authors:  Emily D Crawford; Irene Acosta; Vida Ahyong; Erika C Anderson; Shaun Arevalo; Daniel Asarnow; Shannon Axelrod; Patrick Ayscue; Camillia S Azimi; Caleigh M Azumaya; Stefanie Bachl; Iris Bachmutsky; Aparna Bhaduri; Jeremy Bancroft Brown; Joshua Batson; Astrid Behnert; Ryan M Boileau; Saumya R Bollam; Alain R Bonny; David Booth; Michael Jerico B Borja; David Brown; Bryan Buie; Cassandra E Burnett; Lauren E Byrnes; Katelyn A Cabral; Joana P Cabrera; Saharai Caldera; Gabriela Canales; Gloria R Castañeda; Agnes Protacio Chan; Christopher R Chang; Arthur Charles-Orszag; Carly Cheung; Unseng Chio; Eric D Chow; Y Rose Citron; Allison Cohen; Lillian B Cohn; Charles Chiu; Mitchel A Cole; Daniel N Conrad; Angela Constantino; Andrew Cote; Tre'Jon Crayton-Hall; Spyros Darmanis; Angela M Detweiler; Rebekah L Dial; Shen Dong; Elias M Duarte; David Dynerman; Rebecca Egger; Alison Fanton; Stacey M Frumm; Becky Xu Hua Fu; Valentina E Garcia; Julie Garcia; Christina Gladkova; Miriam Goldman; Rafael Gomez-Sjoberg; M Grace Gordon; James C R Grove; Shweta Gupta; Alexis Haddjeri-Hopkins; Pierce Hadley; John Haliburton; Samantha L Hao; George Hartoularos; Nadia Herrera; Melissa Hilberg; Kit Ying E Ho; Nicholas Hoppe; Shayan Hosseinzadeh; Conor J Howard; Jeffrey A Hussmann; Elizabeth Hwang; Danielle Ingebrigtsen; Julia R Jackson; Ziad M Jowhar; Danielle Kain; James Y S Kim; Amy Kistler; Oriana Kreutzfeld; Jessie Kulsuptrakul; Andrew F Kung; Charles Langelier; Matthew T Laurie; Lena Lee; Kun Leng; Kristoffer E Leon; Manuel D Leonetti; Sophia R Levan; Sam Li; Aileen W Li; Jamin Liu; Heidi S Lubin; Amy Lyden; Jennifer Mann; Sabrina Mann; Gorica Margulis; Diana M Marquez; Bryan P Marsh; Calla Martyn; Elizabeth E McCarthy; Aaron McGeever; Alexander F Merriman; Lauren K Meyer; Steve Miller; Megan K Moore; Cody T Mowery; Tanzila Mukhtar; Lusajo L Mwakibete; Noelle Narez; Norma F Neff; Lindsay A Osso; Diter Oviedo; Suping Peng; Maira Phelps; Kiet Phong; Peter Picard; Lindsey M Pieper; Neha Pincha; Angela Oliveira Pisco; Angela Pogson; Sergei Pourmal; Robert R Puccinelli; Andreas S Puschnik; Elze Rackaityte; Preethi Raghavan; Madhura Raghavan; James Reese; Joseph M Replogle; Hanna Retallack; Helen Reyes; Donald Rose; Marci F Rosenberg; Estella Sanchez-Guerrero; Sydney M Sattler; Laura Savy; Stephanie K See; Kristin K Sellers; Paula Hayakawa Serpa; Maureen Sheehy; Jonathan Sheu; Sukrit Silas; Jessica A Streithorst; Jack Strickland; Doug Stryke; Sara Sunshine; Peter Suslow; Renaldo Sutanto; Serena Tamura; Michelle Tan; Jiongyi Tan; Alice Tang; Cristina M Tato; Jack C Taylor; Iliana Tenvooren; Erin M Thompson; Edward C Thornborrow; Eric Tse; Tony Tung; Marc L Turner; Victoria S Turner; Rigney E Turnham; Mary J Turocy; Trisha V Vaidyanathan; Ilia D Vainchtein; Manu Vanaerschot; Sara E Vazquez; Anica M Wandler; Anne Wapniarski; James T Webber; Zara Y Weinberg; Alexandra Westbrook; Allison W Wong; Emily Wong; Gajus Worthington; Fang Xie; Albert Xu; Terrina Yamamoto; Ying Yang; Fauna Yarza; Yefim Zaltsman; Tina Zheng; Joseph L DeRisi
Journal:  PLoS Pathog       Date:  2020-10-28       Impact factor: 6.823

9.  Detection of SARS-CoV-2 RNA by multiplex RT-qPCR.

Authors:  Eriko Kudo; Benjamin Israelow; Chantal B F Vogels; Peiwen Lu; Anne L Wyllie; Maria Tokuyama; Arvind Venkataraman; Doug E Brackney; Isabel M Ott; Mary E Petrone; Rebecca Earnest; Sarah Lapidus; M Catherine Muenker; Adam J Moore; Arnau Casanovas-Massana; Saad B Omer; Charles S Dela Cruz; Shelli F Farhadian; Albert I Ko; Nathan D Grubaugh; Akiko Iwasaki
Journal:  PLoS Biol       Date:  2020-10-07       Impact factor: 8.029

10.  The proximal origin of SARS-CoV-2.

Authors:  Kristian G Andersen; Andrew Rambaut; W Ian Lipkin; Edward C Holmes; Robert F Garry
Journal:  Nat Med       Date:  2020-04       Impact factor: 87.241

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