Methods for detecting low levels of COVID-19 virus

Information

  • Patent Grant
  • 12098434
  • Patent Number
    12,098,434
  • Date Filed
    Tuesday, November 17, 2020
    4 years ago
  • Date Issued
    Tuesday, September 24, 2024
    2 months ago
Abstract
Provided herein is a method for detecting the presence of a COVID-19 virus in a human sample or an environmental sample having one or more viral and bacterial pathogens. Samples processed to obtain total nucleic acids. The nucleic acids are used as a template in a reverse transcription-amplification reaction to obtain cDNA, which is used in a PCR amplification reaction to obtain fluorescent COVID-19 virus specific amplicons. These amplicons are detected by microarray hybridization near the lowest limit of detection. Also provided is a method for detecting in addition to the COVID-19 virus, the presence of respiratory disease-causing pathogens including viruses, bacteria and fungus in a single assay using the above method.
Description
BACKGROUND OF THE INVENTION
Field of the Invention

The present invention relates to the field of multiplex based viral pathogen detection and analysis. More particularly, the present invention relates to detecting the presence of COVID-19 virus in patient and environmental samples.


Description of the Related Art

The COVID-19 pandemic has increased awareness that viral infection can be an existential threat to health, public safety and the US economy. More fundamentally, there is a recognition that the viral risks are more dangerous and more complex than had been thought and will require new approaches to diagnostics and screening.


The next pandemic wave is expected to have more pronounced flu-like symptoms (seasonal influenza A and/or B) coupled with the COVID-19, or COVID-19 variants that will coexist with the Coronavirus already responsible for the common cold. These complexities are expected to pose significant challenges to public health and the healthcare system in diagnosing multi-symptom conditions accurately and efficiently.


The COVID-19 pandemic has also led to the realization of an additional level of complexity that the realization that human health and environmental contamination are linked in a fundamental way that affects collection efficiency and increases risk to the healthcare workers (1, 2). Alternatives to nasopharyngeal collection methods such as for example, saliva collection are needed to enable scalability among millions of individuals.


Q-RT-PCR technology has dominated COVID-19 diagnostics and public health screening. Independent of the test developer, Q-RT-PCR has been shown to have an unusually high false negative rate (15% up to 30%). As of May 2020, the CDC has recorded 613,041 COVID-19 tests. With a 15% false negative rate, approximately 91,956 people would thus be falsely classified as free of infection. Meta-analysis has shown that the false negative rate for Q-RT-PCR is high below day 7 of infection when viral load is still low. This renders Q-RT-PCR ineffective as a tool for early detection of weak symptomatic carriers while also lessening its value in epidemiology.


Thus, there is a need in the art for superior tools to not only administer and stabilize sample collection for respiratory viruses from millions of samples in parallel obtained from diverse locations including, clinic, home, work, school and in transportation hubs, but also to test multiple respiratory markers at the highest levels of sensitivity and specificity.


SUMMARY OF THE INVENTION

The present invention is further directed to a method for detecting a Coronavirus disease 2019 (COVID-19) virus in a sample. A sample is obtained and total RNA isolated. At least one amplification reaction is performed using the COVID-19 virus RNA as template and at least one fluorescent labeled primer pair selective for COVID-19 virus RNA to generate fluorescent labeled COVID-19 virus specific amplicons. These amplicons are hybridized to a plurality of nucleic acid probes, each attached at specific positions on a solid microarray support. The sequence of the nucleic acid probes corresponds to a sequence determinant in the COVID-19 virus RNA. The microarray is washed and at least one fluorescent signal from the hybridized fluorescent labeled COVID-19 virus amplicons is detected, thereby detecting the COVID-19 virus in the sample. The present invention is also directed to a related method further comprising calculating an intensity of the fluorescent signal that correlates with the number of COVID-19 virus genomes in the sample. The present invention is further directed to a related method further comprising detecting at least one other, non-COVID-19 virus in the sample by performing the at least one amplification reaction with at least two pairs of fluorescently labeled primers selective for the COVID-19 virus and at least one of the other viruses to generate the fluorescent labeled virus specific cDNA amplicons and hybridizing the fluorescent labeled virus specific amplicons to the plurality of nucleic acid probes each having a sequence corresponding to a sequence determinant in the COVID-19 virus and the at least one of the other viruses.


The present invention is also directed to a method for detecting a respiratory disease-causing pathogen in a sample. A sample is obtained, and total nucleic acid is isolated. A combined, reverse transcription reaction and a first PCR amplification reaction (RT-PCR) is performed on the isolated total nucleic acids using at least one first primer pair selective for at least one respiratory disease-causing pathogen to generate at least one pathogen specific cDNA amplicons. A second amplification is performed using the pathogen specific cDNA amplicons as template and at least one fluorescent labeled second primer pair selective for at least one target nucleotide sequence in the pathogen specific cDNA amplicons to generate at least one fluorescent labeled pathogen specific amplicons. These amplicons are hybridized to a plurality of nucleic acid probes each attached at specific positions on a solid microarray support. The nucleic acid probes have sequence corresponding to sequence determinants in the pathogen. The microarray is washed at least once and imaged to detect a fluorescent signal corresponding to the fluorescent labeled pathogen specific amplicons. The present invention is also directed to a related method further comprising calculating an intensity of the fluorescent signal for the fluorescent labeled pathogen specific amplicons, correlating with the number of pathogen specific genomes in the sample.


The present invention is further directed to a method for detecting a Coronavirus disease 2019 (COVID-19) virus in a sample. A sample is obtained, and a total nucleic acid is isolated to obtain a test sample. A combined, reverse transcription reaction and a first PCR amplification reaction (RT-PCR) is performed on the test sample using at least one first primer pair selective for the COVID-19 virus RNA to generate COVID-19 virus cDNA amplicons. A second amplification is performed using the COVID-19 virus cDNA amplicons as template and at least one fluorescent labeled second primer pair selective for a target nucleotide sequence in the COVID-19 virus cDNA to generate at least one fluorescent labeled COVID-19 virus amplicons. These amplicons are hybridized to a plurality of nucleic acid probes each attached at specific positions on a solid microarray support. The nucleic acid probes have a sequence corresponding to sequence determinants in the COVID-19 virus. The microarray is washed at least once and imaged to detect at least one fluorescent signal from the hybridized fluorescent labeled COVID-19 virus amplicons thereby detecting the COVID-19 in the sample. The present invention is also directed to a related method comprising detecting at least one non-COVID-19 virus in the test sample. The combined reverse transcription and the first PCR amplification reaction on the test sample is performed using at least two first primer pairs selective for the COVID-19 virus and the non-COVID-19 virus to generate the COVID-19 virus specific cDNA amplicons and non-COVID-19 virus specific cDNA amplicons. The second amplification is then performed using the COVID-19 virus specific cDNA amplicons and the at least one non-COVID-19 virus specific cDNA amplicons as templates and at least two fluorescent labeled second primer pairs selective for a target nucleotide sequence in the COVID-19 virus specific cDNA and in the non-COVID-19 virus specific cDNA to generate the at least one fluorescent labeled COVID-19 virus specific amplicon and at least one fluorescent labeled non-COVID-19 virus specific amplicon, which are hybridized to the plurality of nucleic acid probes each having a sequence corresponding to the sequence determinant in the COVID-19 virus and the at least one non-COVID-19 virus. The present invention is also directed to a related method comprising detecting at least one bacterium in the test sample. The combined reverse transcription and the first PCR amplification reaction on the test sample is performed using at least two first primer pairs selective for the COVID-19 virus and the bacterium to generate the COVID-19 virus specific cDNA amplicons and bacterium specific cDNA amplicons. The second amplification is then performed using the COVID-19 virus specific cDNA amplicons and the at least one bacterium specific cDNA amplicons as templates and at least two fluorescent labeled second primer pairs selective for a target nucleotide sequence in the COVID-19 virus specific cDNA and in the bacterium specific cDNA to generate the at least one fluorescent labeled COVID-19 virus specific amplicon and at least one fluorescent labeled bacterium specific amplicon, which are hybridized to the plurality of nucleic acid probes each having a sequence corresponding to the sequence determinant in the COVID-19 virus and the at least one bacterium. The present invention is also directed to a related method comprising detecting at least one fungus in the test sample. The combined reverse transcription and the first PCR amplification reaction on the test sample is performed using at least two first primer pairs selective for the COVID-19 virus and the fungus to generate the COVID-19 virus specific cDNA amplicons and fungus specific cDNA amplicons. The second amplification is then performed using the COVID-19 virus specific cDNA amplicons and the at least one fungus specific cDNA amplicons as templates and at least two fluorescent labeled second primer pairs selective for a target nucleotide sequence in the COVID-19 virus specific cDNA and in the fungus specific cDNA to generate the at least one fluorescent labeled COVID-19 virus specific amplicon and at least one fluorescent labeled fungus specific amplicon, which are hybridized to the plurality of nucleic acid probes each having a sequence corresponding to the sequence determinant in the COVID-19 virus and the at least one fungus.





BRIEF DESCRIPTION OF THE FIGURES


FIG. 1 shows that random fluid aliquot sampling can deliver “positive” and “negative” aliquots and that amplification by tandem PCR for subsequent hybridization testing does not after lowest limit of detection (LLoD) counting statistics.



FIG. 2 shows that DNA microarray-based hybridization near the lowest limit of detection allows “positive” hybridization signals to be validated on each sample tested based on internal “mismatched” and “sequence specific” controls.



FIGS. 3A-3C shows signal to noise near the lowest limit of detection. FIG. 3A shows Q-RT-PCR signal-to-noise in the limit of (1) vs (0) Genomes per Reaction. FIG. 3B shows the amount of DNA amplicons produced as a function of PCR cycle number. FIG. 3C shows microarray detection limit as a function of copy number of viral genome.



FIGS. 4A and 4B shows the probability of RT-PCR. FIG. 4A shows the probability of RT-PCR positive detection in samples from SARS-CoV2 infected patients. FIG. 4B shows the probability of samples identified as infected when RT-PCR reports negative detection.



FIG. 5 shows that near the lowest limit of detection tandem PCR then microarray hybridization distinguishes “positive” from a “negative” signal relative to internal controls and “binary” over significant dilution.



FIGS. 6A-6C shows relative fluorescent values for hybridization-based SARS-CoV2 detection in nasal samples. FIG. 6A shows a box and whiskers plot of relative fluorescent values for hybridization-based SARS-CoV2 detection in nasal samples. FIG. 6B shows sensitivity of DETECTX-RV in detecting SARS-CoV2 RNA. FIG. 6C shows sensitivity of Q-RT-PCR in detecting SARS-CoV2 RNA.



FIGS. 7A-7C shows the DETECTX-RV-V2 platform. FIG. 7A shows the workflow, based on an Asymmetric, Tandem, Two-Step Labelling PCR reaction, for the automated DETECTX-RV-V2 platform used for detecting SARS-CoV2 RNA. FIG. 7B shows the related workflow, based on the corresponding Asymmetric, One-Step RT-PCR reaction, for the automated DETECTX-RV-V2 platform used for detecting SARS-CoV2 RNA. FIG. 7C shows a 96-well automation-friendly microarray format for DETECTX-RV-V2.



FIG. 8 shows a DETECTX-RV pan respiratory pathogen diagnostic platform roadmap.



FIG. 9 shows the enhanced content DETECTX-RV pan respiratory pathogen diagnostic platform roadmap.



FIG. 10 shows the results of RNA stability analysis during environmental air analysis.



FIG. 11 shows the results of RNA stability analysis during environmental monitoring of surfaces by swabbing.



FIG. 12 shows microarray data for detection of SARS-CoV2 N3 target gene at various time points after spiking into SOW+ (with dye) and SOW− (minus dye).



FIGS. 13A-13B show quality control images for printed microarray plates. FIG. 13A shows a representative image a printed 96-well DETECTX-RV plate. FIG. 13B shows a printed 384-well Mini-RV plate comprising 13,824 probe spots with no printing errors.



FIG. 14 shows a representative DETECTX-RV hybridization data for clinical nasopharyngeal swab samples in 96-well format.



FIG. 15 is a microarray layout for 384-well printing showing triplicates for 12 probes (D=100-110 μm, P=160 μm) and two “make-up” slots, where “D” refers to average spot diameter and “P” refers to the pitch. i.e. the average separation.



FIGS. 16A-16D show hybridization data for a clinical nasopharyngeal swab sample in one well of the 384-well Mini-RV plate, shown magnified. FIG. 16A is a CY5 image showing initial SARS-CoV2 hybridization feasibility. FIG. 16A is a CY3 image showing initial SARS-CoV2 hybridization feasibility. FIG. 16C is a CY5-color analysis of the Cy-5 image shown in FIG. 16A showing probe identification. FIG. 16D is a CY3-color analysis of the Cy-3 image shown in FIG. 17B showing probe identification.



FIGS. 17A-17F shows the effects of parameters such as hybridization time, washing and spin-drying on signal strength. FIG. 17A shows an imaging matrix for 1 hour hybridization with mixing. FIG. 17B shows the imaging matrix in FIG. 17A after spin drying. FIG. 17C shows the benefit of a low salt wash buffer incubation prior to spin-drying on background. where the arrow signifies the benefit associated with the low salt wash prior to spin drying. FIG. 17D shows an imaging matrix for 30 hour hybridization with intermittent pipette mixing of the hybridization solution. FIG. 17E shows the imaging matrix in FIG. 17D after spin drying. FIG. 17F shows Optimization of hybridization in 96-well format.



FIGS. 18A-18B shows optimization data for Asymmetric One-Step RT-PCR reaction. FIG. 18A shows optimization data for SARS-CoV2 containing samples at a primer ratio of 4:1. FIG. 18A shows optimization data for SARS-CoV2 containing samples at a primer ratio of 8:1.



FIGS. 19A-19B show gel analysis for discordant TriCore clinical samples. FIG. 19A shows gel analysis for samples PATHO-003, PATHO-005, PATHO-008 and PATHO-012. FIG. 19B shows gel analysis for samples PATHO-015 and Positive sample-215981.



FIG. 20 shows a representative sequencing chromatograph for N1-M13F sample.



FIG. 21 shows a representative fully automated hybridization and wash in 96-well format.



FIGS. 22A and 22B show a comparison of automated and manual hybridization analysis in 96-well format. FIG. 22A show a representative (well A1) automated hybridization and wash in 96-well format. FIG. 22B show a representative (well G1) manual hybridization and wash in 96-well format.



FIGS. 23A-23C show the results of altering RT-PCR parameters on hybridization analysis. FIG. 23A compares the hybridization analysis for RNA from SARS-COV2-N1-RE1, amplified using 4 different protocols. FIG. 23B compares the hybridization analysis for RNA from SARS-COV2-N2-RE1.4, amplified using 4 different protocols. FIG. 23C compares the hybridization analysis for RNA from SARS-COV2-N3-RE1.1, amplified using 4 different protocols.



FIGS. 24A-24C compares the effect of hybridization conditions on the analysis. FIG. 24A compares static, shaking and pipetting hybridization methods in analysis of SARS-COV2-N1-RE1 samples. FIG. 24B compares static, shaking and pipetting hybridization methods in analysis of SARS-COV2-N2-RE1.4 samples. FIG. 24C compares static, shaking and pipetting hybridization methods in analysis of SARS-COV2-N3-RE1.1 samples.



FIG. 25 shows an illustration of the CERES NANOTRAP method.



FIG. 26 shows a flowchart for the CERES NANOTRAP method.



FIGS. 27A-27D shows microarray images from samples processed using the CERES NANOTRAP method. FIG. 27A shows one microarray images from samples processed using the CERES NANOTRAP method. FIG. 27B shows a second microarray images from samples processed using the CERES NANOTRAP method. FIG. 27C shows a third microarray images from samples processed using the CERES NANOTRAP method. FIG. 27D shows a fourth microarray images from samples processed using the CERES NANOTRAP method.



FIG. 28 is a graphical representation of hybridization analysis for samples processed using the CERES NANOTRAP method.



FIG. 29 is a graphical representation of hybridization analysis for samples processed using the CERES NANOTRAP method.



FIGS. 30A-30D show clinical sensitivity and specificity of the CERES NANOTRAP Mini-RV technology using the Cobas-Positive TriCore samples. FIG. 30A shows the RFU versus Ct value plot for RNase P probe. FIG. 30B shows the RFU versus Ct value plot for SARS-COV-2 N2-RE1.1 probe FIG. 30C shows the RFU versus Ct value plot for SARS-COV-2 N2-RE1.4 probe. FIG. 30D shows the RFU versus Ct value plot for SARS-COV-2 N3-RE1.1 probe.



FIGS. 31A-31C show LoD analysis of the samples using CERES NANOTRAP Mini-RV technology. FIG. 31A LoD analysis for the SARS-COV-2 N1 probe. FIG. 31B LoD analysis for the SARS-COV-2 N2 probe FIG. 31C LoD analysis for the SARS-COV-2 N3 probe.



FIGS. 32A-32E shows the LoD analysis for contrived samples in VTM. FIG. 32A shows the results of probe signal versus threshold for SARS-COV-2 N1-RE1.1 probe. FIG. 32B shows the results of probe signal versus threshold for SARS-COV-2 N2-RE1.3 probe. FIG. 32C shows the results of probe signal versus threshold for SARS-COV-2 N2-RE1.4 probe. FIG. 32D shows the results of probe signal versus threshold for SARS-COV-2 N3-RE1.1 probe. FIG. 32E is an additional dataset showing the results of probe signal versus threshold for probes SARS-COV-2 N1-RE1.1, SARS-COV-2 N2-RE1.4 and SARS-COV-2 N3-RE1.1.



FIGS. 33A-33B shows LoD analysis for contrived samples in VTM. FIG. 33A shows the results of probe signal versus threshold for SARS-COV-2 N1-RE1.1 probe. FIG. 33B shows the results of probe signal versus threshold for SARS-COV-2 N2-RE1.4 probe.



FIG. 34 shows the results of stability testing for probes SARS-COV-2 N1-RE1.1, SARS-COV-2 N2-RE1.4 and SARS-COV-2 N3-RE1.1.



FIG. 35 shows a checkerboard pattern to evaluate the Ceres run on the Tecan EVO150.



FIG. 36 shows a summary of threshold analysis for clinical matrix samples.



FIGS. 37A-37C show LoD determination in clinical validation for Influenza samples. FIG. 37A is a background analysis showing low thresholds for Inf A and Inf B. FIG. 37B is a representative LoD analysis for Inf A samples. FIG. 37C is a representative LoD analysis for Inf B samples.



FIGS. 38A-38C show data from an extended clinical threshold analysis for Influenza samples. FIG. 38A is a background analysis showing low thresholds for Inf A and Inf B. FIG. 38B is a representative LoD analysis for Inf A samples. FIG. 38C is a representative LoD analysis for Inf B samples.



FIG. 39 shows a comparison of Zymo and Ceres processing of mouthwash clinical samples on LoD range analysis.



FIGS. 40A-40B show LoD analysis for SARS-CoV-2. FIG. 40A shows a representative plot of LoD threshold determination for SARS-CoV-2 N1 probe. FIG. 40B shows a representative plot of LoD threshold determination for SARS-CoV-2 N2 probe.





DETAILED DESCRIPTION OF THE INVENTION

As used herein, the term “a” or “an” when used in conjunction with the term “comprising” in the claims and/or the specification may mean “one,” but it is also consistent with the meaning of “one or more,” “at least one,” and “one or more than one.” Some embodiments of the invention may consist of or consist essentially of one or more elements, method steps, and/or methods of the invention. It is contemplated that any method described herein can be implemented with respect to any other method described herein.


As used herein, the term “or” in the claims is used to mean “and/or” unless explicitly indicated to refer to alternatives only or the alternatives are mutually exclusive, although the disclosure supports a definition that refers to only alternatives and “and/or.”


As used herein, “comprise” and its variations, such as “comprises” and “comprising,” will be understood to imply the inclusion of a stated item, element or step or group of items, elements or steps but not the exclusion of any other item, element or step or group of items, elements or steps unless the context requires otherwise. Similarly, “another” or “other” may mean at least a second or more of the same or different claim element or components thereof.


As used herein the phrase “lowest limit of detection (LLoD)” corresponds to the lowest number of genome copies capable of generating a measurable signal in the assay under consideration. For example, the LLoD corresponds to an analytical sensitivity of ˜0.3 copies/reaction and post extraction sensitivity of ˜3 copies/reaction.


As used herein, the term “about” refers to a numeric value, including, for example, whole numbers, fractions, and percentages, whether or not explicitly indicated. The term “about” generally refers to a range of numerical values (e.g., ±5-10% of the recited value) that one of ordinary skill in the art would consider equivalent to the recited value (e.g., having the same function or result). In some instances, the term “about” may include numerical values that are rounded to the nearest significant figure. For example, a fold excess of 3.6-fold to 8.8-fold is encompassed by about 4-fold to about 8-fold.


In one embodiment of the present invention, there is provided a method detecting a Coronavirus disease 2019 (COVID-19) virus in a sample, comprising, obtaining the sample; isolating from the sample, a total RNA; amplifying in at least one amplification reaction using COVID-19 virus RNA as template and at least one fluorescently labeled primer pair selective for COVID-19 virus RNA to generate fluorescent labeled COVID-19 virus specific amplicons; hybridizing the fluorescent labeled COVID-19 virus specific amplicons to a plurality of nucleic acid probes each having a sequence corresponding to a sequence determinant in the COVID-19 virus RNA, each of said nucleic acid probes attached at a specific position on a solid microarray support: washing the microarray at least once; and imaging the microarray to detect at least one fluorescent signal from the hybridized fluorescent labeled COVID-19 virus specific amplicons, thereby detecting the COVID-19 virus in the sample.


In this embodiment, in one aspect, the sample is any sample obtained from a subject including, but not limited to a nasopharyngeal swab, nasal swab, mouth swab, and mouthwash (sample obtained by rinsing the subject's buccal cavity). A pooled sample obtained by combining two or more of these samples or by combining samples from multiple subjects may also be used. In another aspect of this embodiment, the sample is an environmental sample obtain from inanimate sources including but is not limited to an aerosol and a hard surface. In this embodiment, the aerosol samples are obtained using commercial air samplers such as for example a Coriolis Micro Air Sampler. In this embodiment, a sample from a hard surface is obtained using a swab. In either aspect of this embodiment, the viruses from samples obtained on swabs are dispersed in a liquid such as phosphate buffered saline. Aerosol samples are transferred into a volume of a liquid such as phosphate buffered saline.


In this embodiment, the COVID-19 virus is a Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV 2) or a mutated form thereof. In this embodiment, in some aspects, the sample is mixed with an RNA stabilizer such as for example, a chemical stabilizer that would protect the RNA from degradation during storage and transportation, prior to the RNA isolating step.


In this embodiment, a total RNA potentially comprising RNA from COVID-19 virus and other contaminating pathogens and human cells is isolated. Commercially available RNA isolation kits such as for example, a Quick-DNA/RNA Viral MagBead Kit from Zymo Research are used for this purpose. The total RNA thus isolated is used without further purification. Alternatively, intact virus may be captured with magnetic beads, using kits such as that from Ceres Nanosciences (e.g. CERES NANOTRAP technology), or by first precipitating the virus with polyethylene glycol (PEG), followed by lysis of the enriched virus by heating with a “PCR-Friendly” lysis solution such as 1% NP40 in TE buffer and then used without additional purification.


In this embodiment, the COVID-19 virus RNA in the total RNA isolate is used as a template for amplifying a COVID-19 virus specific sequence. This comprises, first performing a combined reverse transcriptase enzyme catalyzed reverse transcription reaction and a first amplification reaction using at least one unlabeled primer pair selective for the virus to generate COVID-19 virus specific amplicons. In this embodiment, the unlabeled primer pairs (or first primer pairs) have forward (odd numbers) and reverse (even number) sequences shown in SEQ ID: to SEQ ID: 6 (Table 1). SEQ ID: 121 to SEQ ID: 124 (Table 39) and SEQ ID: 130 to SEQ ID: 137 (Table 40). Commercially available reverse transcriptase enzyme and buffers are used in this step. Controls including, but not limited to a RNAse P control having first primer pair (forward primer SEQ ID: 21, reverse primer SEQ ID: 22) are also used herein (Table 1).









TABLE 1







Primer sequences used for PCR










SEQ ID





NOS.
Target
Gene
Primer Sequence (5 to 3′)










First amplification primers (Unlabeled Primers)










SEQ ID: 1
SARS CoV2
N1
TTTTGTCTGATAATGGACCCCAAAATCA



Nucleocapsid







SEQ ID: 2
SARS CoV2
N1
TTTGTTCTCCATTCTGGTTACTGCCAGT



Nucleocapsid







SEQ ID: 3
CoV
N2
TTTAGGAACTAATCAGACAAGGAACTGA



Nucleocapsid*







SEQ ID: 4
CoV
N2
TTTGTTCCCGAAGGTGTGACTTCCATGC



Nucleocapsid*







SEQ ID: 5
CoV
N3
TTTCGGCATCATATGGGTYGCAACTGAG



Nucleocapsid*







SEQ ID: 6
CoV
N3
TTTCCTTTTGGCAATGTTGTTCCTTGAG



Nucleocapsid*







SEQ ID: 7
MERS CoV
upE
TTTTGTTTCCACTGTTTTCGTGCCTGCA





SEQ ID: 8
MERS CoV
upE
TTTCTGTTTTCGTGCCTGCAACGCGCGA





SEQ ID: 9
HCoV-229E
M
TTTTAATGCAATCACTGTCACAACCGTG





SEQ ID: 10
HCoV-229E
M
TTTAAAACCCAGCCTGTGCTATTTTGTG





SEQ ID: 11
HCoV-OC43
M
TTTGTATGTTAGGCCGATAATTGAGGAC





SEQ ID: 12
HCoV-OC43
M
TTCAAACAGCAAAACCACTAGTATCGCT





SEQ ID: 13
NHCoV-NL63
N
TTATTCCTCCTCCTTCATTTTACATGCC





SEQ ID: 14
NHCoV-NL63
N
TTTAATTTAAGGTCCTTATGAGGTCCAG





SEQ ID: 15
NHCoV-HKU1
N
TTTACACTTCTAYTCCCTCCGATGTTTC





SEQ ID: 16
NHCoV-HKU1
N
TTTAAGATTAGCRATCTCATCAGCCATA





SEQ ID: 17
Influenza A
M
TTTATGGCTAAAGACAAGACCRATCCTG





SEQ ID: 18
Influenza A
M
TTTTTAAGGGCATTYTGGACAAAKCGTC





SEQ ID: 19
Influenza B
NS1
TTTGGATGAAGAAGATGGCCATCGGATC





SEQ ID: 20
Influenza B
NS1
TTTTCTAATTGTCTCCCTCTTCTGGTGA





SEQ ID: 21
Human RNAse RNAse
P
TTTACTTCAGCATGGCGGTGTTTGCAGA



P control







SEQ ID: 22
Human RNAse RNAse
P
TTTTGATAGCAACAACTGAATAGCCAAG



P control












Second amplification primers










SEQ ID: 23
SARS CoV2
N1
TTTTAATGGACCCCAAAATCAGCGAAAT



Nucleocapsid







SEQ ID: 24
SARS CoV2
N1
(FL)TTTTTCTGGTTACTGCCAGTTGAATCTG



Nucleocapsid







SEQ ID: 25
CoV
N2
TTTACTGATTACAAACATTGGCCGCAAA



Nucleocapsid*







SEQ ID: 26
CoV
N2
(FL)TTTTGCCAATGCGYCGACATTCCRAAGA



Nucleocapsid*

A





SEQ ID: 27
CoV
N3
TTTAGGGAGCCTTGAATACACCAAAAGA



Nucleocapsd*







SEQ ID: 28
CoV
N3
(FL)TTTAAGTTGTAGCACGATTGCAGCATTG



Nucleocapsid*







SEQ ID: 29
MERS CoV
upE
TTTCCATATGTCCAAAGAGAGACTAATG





SEQ ID: 30
MERS CoV
upE
(FL)TTTTAGTAGCGCAGAGCTGCTTARACGA





SEQ ID: 31
HCoV-229E
M
TTTACATACTATCAACCCATTCAACAAG





SEQ ID: 32
HCoV-229E
M
(FL)TTTCTCGGCACGGCAACTGTCATGTATT





SEQ ID: 33
HCoV-OC43
M
TTTTCATACYCTGACGGTCACAATAATA





SEQ ID: 34
HCoV-OC43
M
(FL)TTTTAACCTTAGCAACAGWCATATAAGC





SEQ ID: 35
NHCoV-NL63
N
TTATAGTTCTGATAAGGCACCATATAGG





SEQ ID: 36
NHCoV-NL63
N
(FL)TTTGAACTTTAGGAGGCAAATCAACACG





SEQ ID: 37
NHCoV-HKU1
N
TTTGATCCTACTAYTCAAGAAGCTATCC





SEQ ID: 38
NHCoV-HKU1
N
(FL)TTTCTTAATGAACGAKTATTGGGTCCAC





SEQ ID: 39
Influenza A
M
TTTCAAGACCRATCCTGTCACCTCTGAC





SEQ ID: 40
Influenza A
M
(FL)TTTAAGGGCATTYTGGACAAAKCGTCTA





SEQ ID: 41
Influenza B
NS1
TTTGCGTCTCAATGAAGGACATTCAAAG





SEQ ID: 42
Influenza B
NS1
(FL)TTTTAATCGGTGCTCTTGACCAAATTGG





SEQ ID: 43
Human RNAse RNAse
P
TTTGTTTGCAGATTTGGACCTGCGAGCG



P control







SEQ ID: 44
Human RNAse RNAse
P
(FL)TTTAAGGTGAGCGGCTGTCTCCACAAGT



P control





*Amplifies SARS-CoV2, SARS, Bat_SARS-like CoV, Pangolin CoV (S. China), Bat precursor CoV (Yunnan 2013) and New Bat CoV (Yunnan 2019).


(FL) = fluorescent label.






Also in this embodiment, the virus specific amplicons generated in the first amplification reaction are used as a template for a second amplification that employs at least one fluorescent labeled primer pair selective for a target nucleotide sequence in the COVID-19 virus cDNA to generate fluorescent labeled COVID-19 virus specific amplicons. In this embodiment, the fluorescent labeled primer pairs have forward (odd numbers) and reverse (even number) sequences shown in SEQ ID: 23 to SEQ ID: 28 (Table 1) and SEQ ID: 74 to SEQ ID: 80 (Table 37). Controls including, but not limited to a RNAse P control having primer pair (forward primer SEQ ID: 43, reverse primer SEQ ID: 44) are also used herein (Table 1). Any fluorescent label may be used, including, but not limited to CY3, a CY5, SYBR Green, a DYLIGHT™ DY647, a ALEXA FLUOR 647, a DYLIGHT™ DY547 and a ALEXA FLUOR 550.


Further in this embodiment, the fluorescent labeled COVID-19 virus amplicons generated are hybridized to the plurality of nucleic acid probes. The nucleic acid probes have a sequence corresponding to sequence determinants in the COVID-19 virus and have sequences SEQ ID: 45 to SEQ ID: 48 (Table 2). SEQ ID: 85 to SEQ ID: 93 (Table 38) and SEQ ID: 125 to SEQ ID: 129 (Table 39). Controls including, but not limited to a RNAse P control nucleic acid probe (SEQ ID: 71 and SEQ ID: 72) and a negative control nucleic acid probe (SEQ ID: 73) are also used herein (Table 2). In this embodiment, the fluorescent labeled COVID-19 virus amplicons hybridize to the nucleic acid probes, which are attached at specific positions on a microarray support including a 3-dimensional lattice microarray support. Further in this embodiment, after hybridization, the microarray is washed at least once to remove unhybridized amplicons. Washed microarrays are imaged to detect a fluorescent signal corresponding to the fluorescent labeled COVID-19 virus specific amplicons to detect presence of the COVID-19 virus in the sample.









TABLE 2







Nucleic acid probe sequences used for hybridization










SEQ ID





NOS.
Target
Gene
Probe Sequence





SEQ ID: 45
SARS CoV2
N1
TTTTTTTCCGCATTACGTTTGGTGTTTTTT



Nucleocapsid







SEQ ID: 46
SARS CoV2
N1
TTTTTTTATCAGCGAAATGCACCCTTTTTT



Nucleocapsid







SEQ ID: 47
SARS CoV2
N2
TTTTTTTTTTGCCCCCAGCGCTTCTTTTTT



Nucleocapsid







SEQ ID: 48
SARS CoV2
N2
TTTTTTACAATTTGCCCCCAGCGTCTTTTT



Nucleocapsid







SEQ ID: 49
SARS
N2
TTTTTTTTTGCTCCRAGTGCCTCTTTTTTT



Nucleocapsid







SEQ ID: 50
SARS
N2
TTTTTTTTGCTCCRAGTGCCTCTGTCCTTT



Nucleocapsid







SEQ ID: 51
CoV Bat
N2
TTTTTGTTTGCACCTAGTGCTTCAGCCCTTTT



precursor







SEQ ID: 52
CoV Pangolin
N2
TTTTTATTTGCWCCTAGCGCTTCTGCTCTTTT



precursor







SEQ ID: 53
CoV Bat
N2
TTTTTGTTTGCACCCAGTGCTTCTGCTCTTTT



precursor-





Yunnan 2013







SEQ ID: 54
CoV Bat
N2
TTTTTTACAATTCGCTCCCAGCGTCTTTTT



precursor-





Yunnan 2019







SEQ ID: 55
CoV
N3
TTTTTCTGGCACCCGCAATCCTGTCTTTTT



Nucleocapsid*







SEQ ID: 56
CoV
N3
TTTTTTAYCACATTGGCACCCGCATCTTTT



Nucleocapsid*







SEQ ID: 57
MERS CoV
upE
TTTTATCTCTTCACATAATCGCCCTTTTTT





SEQ ID: 58
MERS
upE
TTTTTTATAATCGCCCCGAGCTCGTCTTTT





SEQ ID: 59
HCoV-229E
M
TTTTTTTGCTTTACGTTGACGGACATTTTTTT





SEQ ID: 60
HCoV-229E
M
TTTTTTTCAGGTGTTCAGGTTCATAATCTTTT





SEQ ID: 61
HCoV-OC43
M
TTTTTCATCTTTACATTCAAGGTATAATTTTT





SEQ ID: 62
HCoV-OC43
M
TTTTCTGCTATTCTTTGGCAGATTTGCTTTTT





SEQ ID: 63
NHCoV-NL63
N
TTTTTCTAAGAGCGTTGGCGTATGCTTTTTTT





SEQ ID: 64
NHCoV-NL63
N
TTTTTTAAGATGAGCAGATTGGTTACCTTTTT





SEQ ID: 65
NHCoV-HKU1
N
TTTTTTCAGGTTCACGTTCTCAATCATTTTTT





SEQ ID: 66
NHCoV-HKU1
N
TTTTCTGTACGATTYTGCCTCAAGGCCTTTTT





SEQ ID: 67
Influenza A
M
TTTTTTTCGTGCCCAGTGAGCGAGTTTTTT





SEQ ID: 68
Influenza A
M
TTTTTTAGTGAGCGAGGACTGCATTTTTTT





SEQ ID: 69
Influenza B
NS1
TTTTTTCCAATTCGAGCAGCTGAATTTTTT





SEQ ID: 70
Influenza B
NS1
TTTTTTAGCAGCTGAAACTGCGGTTTTTTT





SEQ ID: 71
Human RNAse
RNAse
TTTTTTTTCTGACCTGAAGGCTCTGCGCGTTT



P control
P
TT





SEQ ID: 72
Human RNAse
RNAse
TTTTTCTTGACCTGAAGGCTCTGCTTTTTT



P control
P






SEQ ID: 73
Negative

TTTTTTCTACTACCTATGCTGATTCACTCTTTT



Control

T





*Hybridizes with SARS-CoV2, SARS, Bat-SARS-like CoV, Pangolin CoV (S. China), Bat precursor CoV (Yunnan 2013), New Bat CoV (Yunnan 2019)






Further to this embodiment, the method further comprises calculating an intensity for the fluorescent signal. The calculated intensity is correlated with the number of COVID-19 virus specific genomes in the sample. The measured intensity is a function of the number of COVID-19 virus specific genomes in the sample. Based on analysis of virus-free samples, an experimentally determined intensity threshold is established for the hybridization to each probe on the microarray, such that a fluorescent intensity above that threshold signifies the presence of SARS-CoV-2 viral RNA, while fluorescence intensities below the threshold signifies that SARS-CoV-2 was not detected.


Further to this embodiment, the method further comprises detecting at least one other non-COVID-19 virus comprising a Respiratory Syncytial Virus, a Middle East Respiratory Syndrome coronavirus (MERS-CoV), a Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV), a 229E Coronavirus, a OC43 Coronavirus, a NL63 Coronavirus, a HKU1 Coronavirus an Influenza A virus and an Influenza B virus in the sample, wherein the amplifying step comprises performing the at least one amplification reaction with at least two pairs of fluorescently labeled primers selective for the COVID-19 virus and at least one of the other viruses to generate the fluorescent labeled virus specific cDNA amplicons; and wherein the hybridizing step comprises hybridizing the fluorescent labeled virus specific amplicons to the plurality of nucleic acid probes each having a sequence corresponding to a sequence determinant in the COVID-19 virus and the at least one of the other viruses.


In this embodiment, the unlabeled primer pair has forward (odd numbers) and reverse (even number) sequences shown in SEQ ID: 1 to SEQ ID: 20 (Table 1), SEQ ID: 121 to SEQ ID: 124 (Table 39) and SEQ ID: 130 to SEQ ID: 138 (Table 40), the fluorescent labeled primer pairs have forward (odd numbers) and reverse (even number) sequences shown in SEQ ID: 23 to SEQ ID: 42 (Table 1) and SEQ ID: 74 to SEQ ID: 84 (Table 37), and nucleic acid probe sequences SEQ ID: 45 to SEQ ID: 70 (Table 2), SEQ ID: 111 to SEQ ID: 120 (Table 29), SEQ ID: 85 to SEQ ID: 97 (Table 38) and SEQ ID: 125 to SEQ ID: 129 (Table 39). Controls including, but not limited to a RNAse P control having unlabeled primer pair (forward primer SEQ ID: 21, reverse primer SEQ ID: 22), fluorescent labeled primer pair (forward primer SEQ ID: 43, reverse primer SEQ ID: 44) and nucleic acid probe (SEQ ID: 71 and SEQ ID: 72) and, a negative control nucleic acid probe (SEQ ID: 73) are also used herein.


In another embodiment of the present invention, there is provided a method for detecting a respiratory disease-causing pathogen in a sample, comprising obtaining a sample; isolating total nucleic acids from the sample; performing a combined reverse transcription and a first PCR amplification reaction on the isolated total nucleic acids using at least one first primer pair selective for at least one respiratory disease-causing pathogen to generate at least one pathogen specific cDNA amplicons; performing a second amplification using the pathogen specific cDNA amplicons as template and at least one fluorescent labeled second primer pair selective for at least one target nucleotide sequence in the pathogen specific cDNA amplicons to generate at least one fluorescent labeled pathogen specific amplicons; hybridizing the fluorescent labeled pathogen specific amplicons to a plurality of nucleic acid probes each having a sequence corresponding to sequence determinants in the pathogen, each of said nucleic acid probes attached at a specific position on a solid microarray support; washing the microarray at least once; and imaging the microarray to detect a fluorescent signal corresponding to the fluorescent labeled pathogen specific amplicons, thereby detecting the respiratory disease-causing pathogen in the sample.


In this embodiment, in one aspect, the sample is any sample obtained from a subject including, but not limited to a nasopharyngeal swab, nasal swab, mouth swab, and mouthwash (sample obtained by rinsing the subject's buccal cavity). A pooled sample obtained by combining two or more of these samples or by combining samples from multiple subjects may also be used. In another aspect of this embodiment, the sample is an environmental sample obtain from inanimate sources including but is not limited to an aerosol and a hard surface. In this embodiment, the aerosol samples are obtained using commercial air samplers such as for example a Coriolis Micro Air Sampler. In this embodiment, a sample from a hard surface is obtained using a swab. In either aspect of this embodiment, the viruses from samples obtained on swabs are dispersed in a liquid such as phosphate buffered saline. Aerosol samples are transferred into a volume of a liquid such as phosphate buffered saline.


In this embodiment, the respiratory disease-causing pathogen is a virus, a bacteria, a fungi, or a combination of these. The sample may also comprise mutated forms of these pathogens. Examples of respiratory disease-causing viruses include, but are not limited to, Severe Acute Respiratory Syndrome Coronavirus 2 (COVID-19 virus), a Respiratory Syncytial Virus, a Middle East Respiratory Syndrome coronavirus (MERS-CoV), or a Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV), or a 229E Coronavirus, or a OC43 Coronavirus, or a NL63 Coronavirus, or a HKU1 Coronavirus or an Influenza A virus or an Influenza B virus, an adenovirus, a bocavirus, a metapneumovirus, a parainfluenza and a rhinovirus. Examples of respiratory disease-causing bacteria include, but are not limited to, a Mycobacterium species (e.g. Mycobacterium tuberculosis), a Streptococcus species (e.g. Streptococcus pneumoniae), a Mycoplasma species, an Enterococcus species, a Haemophilus species, a Klebsiella species, a Moraxella species and a Corynebacterium species. Examples of respiratory disease-causing fungus include, but are not limited to, a Histoplasma species, a Coccidioides species, a Blastomyces species, a Rhizopus species, an Aspergillus species, a Pneumocystis species and a Cryptococcus species. In this embodiment, in some aspects, the sample is mixed with an nucleic acid stabilizer such as for example, a chemical stabilizer that would protect the nucleic acids from degradation during storage and transportation, prior to the isolating step.


In this embodiment, a total nucleic acids potentially comprising nucleic acids from the pathogen and contaminating human cells is isolated. Commercially available nucleic acid isolation kits such as for example, a Quick-DNA/RNA MagBead Kit from Zymo Research are used for this purpose. The total nucleic acids thus isolated is used without further purification. Alternatively, the pathogens may be captured using hydrogel chemistry (Ceres Nanosciences) or enriched using methods including, but not limited to centrifugation and polyethylene glycol (PEG), followed by lysis of the enriched pathogens by heating with a “PCR-Friendly” lysis solution such as 1% NP40 in TE buffer and the total nucleic acids used without additional purification.


In this embodiment, a combined reverse transcriptase enzyme catalyzed reverse transcription reaction, and a first PCR amplification reaction is performed using the isolated nucleic acids as template and at least one first primer pair selective for the pathogens to generate pathogen specific cDNA amplicons.


In this embodiment, when the pathogen is a virus, the unlabeled primer pairs (or first primer pairs) have forward (odd numbers) and reverse (even number) sequences shown in SEQ ID: 1 to SEQ ID: 6 (Table 1), SEQ ID: 121 to SEQ ID: 124 (Table 39) and SEQ ID: 130 to SEQ ID: 137 (Table 40). Commercially available reverse transcriptase enzyme and buffers are used in this step. Controls including, but not limited to a RNAse P control having first primer pair (forward primer SEQ ID: 21, reverse primer SEQ ID: 22) are also used herein (Table 1) Also in this embodiment, the pathogen specific cDNA amplicons generated in the first amplification reaction are used as a template for a second amplification that employs at least one fluorescent labeled primer pair selective for a target nucleotide sequence in the pathogen specific cDNA to generate fluorescent labeled pathogen specific amplicons. Any fluorescent label may be used, including, but not limited to CY3, a CY5, SYBR Green, a DYLIGH™ DY647, an ALEXA FLUOR 647, a DYLIGHT™ DY547 and a ALEXA FLUOR 550.


In this embodiment, when the pathogen is a virus, the fluorescent labeled primer pairs have forward (odd numbers) and reverse (even number) sequences shown in SEQ ID: 23 to SEQ ID: 28 (Table 1) and SEQ ID: 74 to SEQ ID: 80 (Table 37). Controls including, but not limited to a RNAse P control having primer pair (forward primer SEQ ID: 43, reverse primer SEQ ID: 44) are also used herein (Table 1).


Further in this embodiment, the fluorescent labeled pathogen specific amplicons generated are hybridized to the plurality of nucleic acid probes. The nucleic acid probes have a sequence corresponding to sequence determinants in the pathogens.


In this embodiment, when the pathogen is a virus, the nucleic acid probes have sequences SEQ ID: 45 to SEQ ID: 48 (Table 2), SEQ ID: 85 to SEQ ID: 93 (Table 38) and SEQ ID: 125 to SEQ ID: 129 (Table 39). Controls including, but not limited to a RNAse P control nucleic acid probe (SEQ ID: 71 and SEQ ID: 72) and a negative control nucleic acid probe (SEQ ID: 73) are also used herein (Table 2).


In this embodiment, the fluorescent labeled pathogen specific amplicons hybridize to the nucleic acid probes, which are attached at specific positions on a microarray support including a 3-dimensional lattice microarray support. Further in this embodiment, after hybridization, the microarray is washed at least once to remove unhybridized amplicons. Washed microarrays are imaged to detect a fluorescent signal corresponding to the fluorescent labeled pathogen specific amplicons to detect presence of the pathogens in the sample.


Further to this embodiment, the method further comprises calculating an intensity for the fluorescent signal. The calculated intensity is correlated with the number of pathogen specific genomes in the sample. The measured intensity is a function of the number of pathogen specific genomes in the sample. Based on analysis of pathogen-free samples, an experimentally determined intensity threshold is established for the hybridization to each probe on the microarray, such that a fluorescent intensity above that threshold signifies the presence of pathogen nucleic acid, while fluorescence intensities below the threshold signifies that the pathogen was not detected.


In yet another embodiment of the present invention, there is provided a method for detecting a Coronavirus 2019 disease (COVID-19) virus in a sample, comprising obtaining a sample; isolating a total nucleic acid from the sample to obtain a test sample; performing a combined reverse transcription and a first PCR amplification reaction on the test sample using at least one first primer pair selective for the COVID-19 virus RNA to generate COVID-19 virus cDNA amplicons; performing a second amplification using the COVID-19 virus cDNA amplicons as template and at least one fluorescent labeled second primer pair selective for a target nucleotide sequence in the COVID-19 virus cDNA to generate at least one fluorescent labeled COVID-19 virus amplicons; hybridizing the fluorescent labeled COVID-19 virus amplicons to a plurality of nucleic acid probes each having a sequence corresponding to a sequence determinant in the COVID-19 virus, each of said nucleic acid probes attached at a specific position on a solid microarray support; washing the microarray at least once; and imaging the microarray to detect at least one fluorescent signal from the hybridized fluorescent labeled COVID-19 virus amplicons, thereby detecting the COVID-19 in the sample.


In this embodiment, in one aspect, the sample is any sample obtained from a subject including, but not limited to a nasopharyngeal swab, nasal swab, mouth swab, and mouthwash (sample obtained by rinsing the subject's buccal cavity). A pooled sample obtained by combining two or more of these samples or by combining samples from multiple subjects may also be used. In another aspect of this embodiment, the sample is an environmental sample obtain from inanimate sources including but is not limited to an aerosol and a hard surface. In this embodiment, the aerosol samples are obtained using commercial air samplers such as for example a Coriolis Micro Air Sampler. In this embodiment, a sample from a hard surface is obtained using a swab. In either aspect of this embodiment, the viruses from samples obtained on swabs are dispersed in a liquid such as phosphate buffered saline. Aerosol samples are transferred into a volume of a liquid such as phosphate buffered saline.


In this embodiment, the COVID-19 virus is a Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV 2) or a mutated form thereof. In this embodiment, in some aspects, the sample is mixed with an RNA stabilizer such as for example, a chemical stabilizer that would protect the RNA from degradation during storage and transportation, prior to the RNA isolating step.


In this embodiment, a total nucleic acids potentially comprising nucleic acids from pathogens including the COVID-19 virus, and contaminating human cells is isolated. Commercially available nucleic acid isolation kits such as for example, a Quick-DNA/RNA MagBead Kit from Zymo Research are used for this purpose. The total nucleic acids thus isolated is used without further purification. Alternatively, the pathogens may be captured using hydrogel chemistry (Ceres Nanosciences) or enriched using methods including, but not limited to centrifugation and polyethylene glycol (PEG), followed by lysis of the enriched pathogens by heating with a “PCR-Friendly” lysis solution such as 1% NP40 in TE buffer and the total nucleic acids used without additional purification.


In this embodiment, the COVID-19 virus RNA in the total RNA isolate is used as a template for amplifying a COVID-19 virus specific sequence. This comprises, first performing a combined reverse transcriptase enzyme catalyzed reverse transcription reaction and a first amplification reaction using at least one unlabeled primer pair selective for the virus to generate COVID-19 virus specific amplicons. In this embodiment, the unlabeled primer pairs (or first primer pairs) have forward (odd numbers) and reverse (even number) sequences shown in SEQ ID: 1 to SEQ ID: 6 (Table 1), SEQ ID: 121 to SEQ ID: 124 (Table 39) and SEQ ID: 130 to SEQ ID: 137 (Table 40). Commercially available reverse transcriptase enzyme and buffers are used in this step. Controls including, but not limited to a RNAse P control having first primer pair (forward primer SEQ ID: 21, reverse primer SEQ ID: 22) are also used herein (Table 1)


Also in this embodiment, the virus specific amplicons generated in the first amplification reaction are used as a template for a second amplification that employs at least one fluorescent labeled primer pair selective for a target nucleotide sequence in the COVID-19 virus cDNA to generate fluorescent labeled COVID-19 virus specific amplicons. In this embodiment, the fluorescent labeled primer pairs have forward (odd numbers) and reverse (even number) sequences shown in SEQ ID: 23 to SEQ ID: 28 (Table 1) and SEQ ID: 74 to SEQ ID: 80 (Table 37). Controls including, but not limited to a RNAse P control having primer pair (forward primer SEQ ID: 43, reverse primer SEQ ID: 44) are also used herein (Table 1). Any fluorescent label may be used, including, but not limited to CY3, a CY5, SYBR Green, a DYLIGHT™ DY647, a ALEXA FLUOR 647, a DYLIGHT™ DY547 and a ALEXA FLUOR 550.


Further in this embodiment, the fluorescent labeled COVID-19 virus amplicons generated are hybridized to the plurality of nucleic acid probes. The nucleic acid probes have a sequence corresponding to sequence determinants in the COVID-19 virus and have sequences SEQ ID: 45 to SEQ ID: 48 (Table 2), SEQ ID: 85 to SEQ ID: 93 (Table 38) and SEQ ID: 125 to SEQ ID: 129 (Table 39). Controls including, but not limited to a RNAse P control nucleic acid probe (SEQ ID: 71 and SEQ ID: 72) and a negative control nucleic acid probe (SEQ ID: 73) are also used herein (Table 2). In this embodiment, the fluorescent labeled COVID-19 virus amplicons hybridize to the nucleic acid probes, which are attached at specific positions on a microarray support including a 3-dimensional lattice microarray support. Further in this embodiment, after hybridization, the microarray is washed at least once to remove unhybridized amplicons. Washed microarrays are imaged to detect a fluorescent signal corresponding to the fluorescent labeled COVID-19 virus specific amplicons to detect presence of the COVID-19 virus in the sample.


Further to this embodiment, the method further comprises detecting at least one non-COVID-19 virus in the test sample, wherein the step of performing the combined reverse transcription and the first PCR amplification reaction on the test sample comprises using at least two first primer pairs selective for the COVID-19 virus and the at least one non-COVID-19 virus to generate the COVID-19 virus specific cDNA amplicons and non-COVID-19 virus specific cDNA amplicons; wherein the step of performing the second amplification comprises using the COVID-19 virus specific cDNA amplicons and the at least one non-COVID-19 virus specific cDNA amplicons as templates and at least two fluorescent labeled second primer pairs selective for a target nucleotide sequence in the COVID-19 virus specific cDNA and in the non-COVID-19 virus specific cDNA to generate the at least one fluorescent labeled COVID-19 virus specific amplicon and at least one fluorescent labeled non-COVID-19 virus specific amplicon; and wherein the step of hybridizing comprises hybridizing the at least one fluorescent labeled COVID-19 virus specific amplicon and the at least one fluorescent labeled non-COVID-19 virus specific amplicon to the plurality of nucleic acid probes each having a sequence corresponding to the sequence determinant in the COVID-19 virus and the at least one non-COVID-19 virus.


In this embodiment, the non-COVID-19 virus is any virus including, but not limited to a respiratory disease-causing RNA or DNA virus. Examples of RNA viruses include, and are not limited to a Respiratory Syncytial Virus, a Middle East Respiratory Syndrome coronavirus (MERS-CoV), a Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV), a 229E Coronavirus, a OC43 Coronavirus, a NL63 Coronavirus, a HKU1 Coronavirus an Influenza A virus, an Influenza B virus, a metapneumovirus, a parainfluenza, and a rhinovirus. In this embodiment, the fluorescent labeled primer pairs have forward (odd numbers) and reverse (even number) sequences shown in SEQ ID: 23 to SEQ ID: 42 (Table 1) and SEQ ID: 74 to SEQ ID: 84 (Table 37). and nucleic acid probe having sequences SEQ ID: 45 to SEQ ID: 70 (Table 2) and SEQ ID: 85 to SEQ ID: 97 (Table 38). Controls including, but not limited to a RNAse P control having primer pair (forward primer SEQ ID: 43, reverse primer SEQ ID: 44) and nucleic acid probe (SEQ ID: 71 and SEQ ID: 72) and, a negative control nucleic acid probe (SEQ ID: 73) are also used herein. Examples of DNA viruses include and are not limited to an adenovirus and a bocavirus.


Further to this embodiment, the method comprises detecting at least one bacterium in the test sample, wherein the step of performing the combined reverse transcription and the first PCR amplification reaction on the test sample comprises using at least two first primer pairs selective for the COVID-19 virus and the at least one bacterium to generate the COVID-19 virus specific cDNA amplicons and the bacterium specific cDNA amplicons; wherein the step of performing the second amplification comprises using the COVID-19 virus specific cDNA amplicons and the bacterium specific cDNA amplicons as templates and at least two fluorescent labeled second primer pairs selective for a target nucleotide sequence in the COVID-19 virus specific cDNA and in the bacterium specific cDNA to generate the at least one fluorescent labeled COVID-19 virus specific amplicon and at least one fluorescent labeled bacterium specific amplicon; and wherein the step of hybridizing comprises hybridizing the at least one fluorescent labeled COVID-19 virus specific amplicon and the at least one fluorescent labeled bacterium specific amplicon to the plurality of nucleic acid probes each having a sequence corresponding to the sequence determinant in the COVID-19 virus and the at least one bacterium.


In this embodiment, the bacterium is any bacterium including, but not limited to a respiratory disease-causing bacterium. Examples of bacteria include, and are not limited to a Mycobacterium species (e.g. Mycobacterium tuberculosis), a Streptococcus species (e.g. Streptococcus pneumoniae), a Mycoplasma species, an Enterococcus species, a Haemophilus species, a Kebsiella species, a Moraxella species and a Corynebacterium species.


Further to this embodiment, the method comprises detecting at least one fungus in the test sample, wherein the step of performing the combined reverse transcription and the first PCR amplification reaction on the test sample comprises using at least two first primer pairs selective for the COVID-19 virus and the at least one fungus to generate the COVID-19 virus specific cDNA amplicons and the fungus specific cDNA amplicons; wherein the step of performing the second amplification comprises using the COVID-19 virus specific cDNA amplicons and the fungus specific cDNA amplicons as templates and at least two fluorescent labeled second primer pairs selective for a target nucleotide sequence in the COVID-19 virus specific cDNA and in the fungus specific cDNA to generate the at least one fluorescent labeled COVID-19 virus specific amplicon and at least one fluorescent labeled fungus specific amplicon; and wherein the step of hybridizing comprises hybridizing the at least one fluorescent labeled COVID-19 virus specific amplicon and the at least one fluorescent labeled fungus specific amplicon to the plurality of nucleic acid probes each having a sequence corresponding to the sequence determinant in the COVID-19 virus and the at least one fungus.


In this embodiment, the fungus is any virus including, but not limited to a respiratory disease-causing fungus. Examples of fungus include, and are not limited to a Histoplasma species, a Coccidioides species, a Blastomyces species, a Rhizopus species, an Aspergillus species, a Pneumocystis species and a Cryptococcus species.


In any of the above embodiments, the method steps for detecting the virus, the bacterium and the fungus are performed in a single assay with the COVID-19 virus detection steps described above. This is advantageous since it enables streamlined detection of COVID-19 virus and the other pathogens in a one assay. Further in this embodiment, the methods described above may be used to concurrently detect in any combination, a COVID-19 virus, a non-COVID-19 virus, a bacterium, or a fungus.


Also, in any of the above embodiments, the imaging step further comprises calculating an intensity for the fluorescent signal. The calculated intensity is correlated with the number of genomes of the virus, bacterium, and fungus in the sample. The measured intensity is a function of the number of such genomes in the sample. Based on analysis of pathogen-free samples, an experimentally determined intensity threshold is established for the hybridization to each probe on the microarray, such that a fluorescent intensity above that threshold signifies the presence of nucleic acids for the virus, bacterium or fungus, while fluorescence intensities below the threshold signifies that the virus, bacterium or fungus was not detected respectively.


Described herein is a method for detecting a COVID-19 disease in a sample such as a nasopharyngeal swab, a nasal swab, a mouth swab, a mouthwash, an aerosol, or a swab from a hard surface. The sample is mixed with a chemical stabilizer after sample collection. The stabilizer prevents RNA degradation during storage and transportation prior to RNA isolation. The isolated RNA is a total RNA preparation comprising viral and non-viral RNA including COVID-19 virus RNA that is used without further purification. This RNA preparation is used in a combined reverse transcription and first amplification reaction (RT-PCR) to generate COVID-19 virus cDNA amplicons. These amplicons are used as template in a second amplification reaction that uses fluorescent labeled second primer pair selective for a target nucleotide sequence in the COVID-19 virus to generate fluorescent labeled COVID-19 virus amplicons. The fluorescent labeled COVID-19 virus amplicons are hybridized to nucleic acid probes attached at specific positions on a microarray. This method allows positive hybridization signals to be validated on each sample tested based on internal “mismatched” and “sequence specific” controls. Also described herein is a method for detecting presence of a respiratory virus disease-causing virus, bacterium and fungus in the sample using pathogen specific primers and nucleic acid probes and the same method steps described above. The method steps may be performed concurrently performed in a single assay, which is beneficial since it enables streamlined detection of COVID-19 virus and the other pathogens in a single assay. Any combination of COVID-19 virus, non-COVID-19 virus, bacterium, and fungus may be detected using this method.


In the embodiments described above, the microarray is made of any suitable material known in the art including but not limited to borosilicate glass, a thermoplastic acrylic resin (e.g., poly(methyl methacrylate-VSUVT) a cycloolefin polymer (e.g. ZEONOR 1060R), a metal including, but not limited to gold and platinum, a plastic including, but not limited to polyethylene terephthalate, polycarbonate, nylon, a ceramic including, but not limited to TiO2, and Indium tin oxide (ITO) and engineered carbon surfaces including, but not limited to graphene. A combination of these materials may also be used. The solid support has a front surface and a back surface and is activated on the front surface by chemically activatable groups for attachment of the nucleic acid probes. In this embodiment, the chemically activatable groups include but are not limited to epoxysilane, isocyanate, succinimide, carbodiimide, aldehyde and maleimide. These materials are well known in the art and one of ordinary skill in this art would be able to readily functionalize any of these supports as desired. In a preferred embodiment, the solid support is epoxysilane functionalized borosilicate glass support.


The nucleic acid probes are attached either directly to the microarray support, or indirectly attached to the support using bifunctional polymer linkers. In this embodiment, the bifunctional polymer linker has a top domain and a bottom end. On the bottom end is attached a first reactive moiety that allows covalent attachment to the chemically activatable groups in the solid support. Examples of first reactive moieties include but are not limited to an amine group, a thiol group and an aldehyde group. In one aspect the first reactive moiety is an amine group. On the top domain of the bifunctional polymer linker is provided a second reactive moiety that allows covalent attachment to the oligonucleotide probe. Examples of second reactive moieties include but are not limited to nucleotide bases like thymidine, adenine, guanine, cytidine, uracil and bromodeoxyuridine and amino acid like cysteine, phenylalanine, tyrosine glycine, serine, tryptophan, cystine, methionine, histidine, arginine and lysine. The bifunctional polymer linker may be an oligonucleotide such as OLIGOdT, an amino polysaccharide such as chitosan, a polyamine such as spermine, spermidine, cadaverine and putrescine, a polyamino acid, with a lysine or histidine, or any other polymeric compounds with dual functional groups which can be attached to the chemically activatable solid support on the bottom end, and the nucleic acid probes on the top domain. Preferably, the bifunctional polymer linker is OLIGOdT having an amine group at the 5′ end.


In this embodiment, the bifunctional polymer linker may be unmodified with a fluorescent label. Alternatively, the bifunctional polymer linker has a fluorescent label attached covalently to the top domain, the bottom end, or internally. The second fluorescent label is different from the fluorescent label in the fluorescent labeled primers. Having a fluorescent label (fluorescent tag) attached to the bifunctional polymer linker is beneficial since it allows the user to image and detect the position of the individual nucleic acid probes (“spot”) printed on the microarray. By using two different fluorescent labels, one for the bifunctional polymer linker and the second for the amplicons generated from the viral RNA being queried, the user can obtain a superimposed image that allows parallel detection of those nucleic acid probes which have been hybridized with amplicons. This is advantageous since it helps in identifying the virus comprised in the sample using suitable computer and software, assisted by a database correlating nucleic acid probe sequence and microarray location of this sequence with a known RNA signature in viruses. Examples of fluorescent labels include, but are not limited to CY5, DYLIGHT™ DY647, ALEXA FLUOR 647, CY3, DYLIGHT™ DY547, or ALEXA FLUOR 550. The fluorescent labels may be attached to any reactive group including but not limited to, amine, thiol, aldehyde, sugar amido and carboxy on the bifunctional polymer linker. In one aspect, the bifunctional polymer linker is CY5-labeled OLIGOdT having an amino group attached at its 3′ terminus for covalent attachment to an activated surface on the solid support.


Further in this embodiment, when the bifunctional polymer linker is also fluorescently labeled a second fluorescent signal image is detected in the imaging step. Superimposing the first fluorescent signal image and second fluorescent signal image allows identification of the virus by comparing the sequence of the nucleic acid probe at one or more superimposed signal positions on the microarray with a database of signature sequence determinants for a plurality of viral RNA. This embodiment is particularly beneficial since it allows identification of more than one type of virus in a single assay.


DETECTX-RV enables screening for COVID-19 in nasopharyngeal swabs. The microarray has the capacity to test for multiple viral analytes in parallel DETECTX-RV is based on endpoint PCR (rather than qPCR) and is coupled to concurrent analysis of up to 144 distinct nucleic acid probes (rather than just 4 probes for qPCR). This enhanced test capacity enables concurrent testing of 3 different sites (N1, N2, N3) in the SARS CoV2 genome and further, include a human RNA control (RNAse P). The testing may be performed in triplicate along with a panel of 8 viral controls, enabling confirmation of COVID-19 at a level of experimental specificity of over 10× compared to Q-RT-PCR. The DETECTX-RV-V2 microarray differs from DETECTX-RV in the additional inclusion of the newly discovered S-D614G variant in the same assay and an additional amplification step. This microarray is suitable for fully automated testing capable of processing samples in a 96-well array plate format, or the higher throughput 384-well microarray plate format.


The following examples are given for the purpose of illustrating various embodiments of the invention and are not meant to limit the present invention in any fashion.


Example 1

Tandem PCR (or RT-PCR, then Asymmetric PCR) Reactions to Enhance the Ability to Accurately Detect the Population Density (i.e. Molecules/μL) Near the Lowest Limit of Detection (LLoD)


The first of the two tandem reactions coverts segments of RNA genome into an abundance of amplified DNA. It is a type of Endpoint PCR reaction, such that the original RNA input is amplified 35 cycles, to form an Endpoint PCR product, wherein the input RNA target segments have been amplified to generate a maximal number of DNA amplicons.


The second PCR reaction, which may be a real-time or an endpoint PCR reaction, builds upon the first reaction such that if one or more molecules of DNA or RNA are input into the first reaction, that first PCR reaction produces an amplified DNA segment which has been amplified to yield a sample that may display up to a 10+6 fold increase in strand concentration within the amplicon product (FIG. 1).


The second PCR reaction additionally tags the PCR amplified product with a Dye (e.g. CY-3), which enables amplicon detection after microarray hybridization. The second reaction is performed as an asymmetric PCR reaction, such that upon completion of this second “Endpoint” PCR reaction, the product is >90% single stranded (due to the asymmetry of the PCR reaction) with the single strand of interest being the only strand bearing the CY-3 dye probe. This asymmetry allows the product to be used for hybridization without the need for heat denaturation and avoids hybridization artifacts which are otherwise common.


If no RNA (or DNA) were input into the first reaction, none will be amplified (FIG. 1). Having received that amplified input into the second PCR reaction, the quantitative distinction between (0) copies of original genomic nucleic acid. i.e. a “negative Aliquot”, vs (1, >1) copies of genomic nucleic acid in an aliquot, that is, “positive” aliquot is thus greatly amplified. Thus, in the context of the tandem reactions of the present invention, the first PCR (or RT-PCR) reaction can be thought of as a method of signal amplification to increase signal “gain” (FIG. 1) to be of benefit to the second PCR reaction or similar amplification reaction. Equation 1. PCR Reaction #1. Amplifies mass distinction between sample aliquots with (0) vs (>0)


DNA Copies in the Original:


1 copy of genomic DNA Target→at 1×2M Copies of Product Targets (M=number of PCR Cycles).


0 copy of genomic DNA Target→at 0×2M Copies of Product Targets (M=number of PCR Cycles).


DNA target signal strength increases after PCR. 1 Copy→1×2M copies.


Statistical occurrence of “Negative” events (Pr0) in aliquots of the original sample does not change as a result of PCR Reaction #1.

Pr(0)=exp−(<N>) before and after PCR


In medical diagnostics, food safety and other demanding applications, the LLoD is a crucial test parameter, which is defined by, and directly measured, in the context of samples where, for nucleic acids, the number of microbial or viral genomes in fluid solution are introduced as small (typically 1 μL) aliquots into the PCR reaction at levels so dilute that such single 1 μL aliquots will, via ordinary random sampling statistics, be expected to capture a significant number of “negative” aliquots, i.e. (0) copies of the original nucleic acid genome in each (see FIG. 1).


The present invention serves to greatly increase the amplitude of the signal associated with the “positive” events (≥1 genomes per aliquot) relative to the “negative” events where, lacking a template for PCR, PCR does not occur (see Equation 1 and FIG. 1). Thus, without altering the relative frequency of “positive” vs “negative” sampling events, the signal associated with the “positive” signals is greatly amplified, making subsequent analysis of such positives more accurate, while still providing an accurate determination of the original nucleic acid sample density, as manifest in the “positive/negative” sampling frequency ratio.


For example, in the context of Poisson statistics, LLoD can be measured by counting the statistical likelihood of “negative” signals derived from the “negative” (N=0) aliquot events, relative to statistical occurrence of all “positive” events, i.e. signals obtained when (N=1+N>1). Using Poisson statistics, that (positive/negative) event ratio can be used to calculate the average population density (<N>) of nucleic acid target molecules in the original sample aliquot size. For instance, in an ideal assay near the LLOD, where <N>=1 per sample aliquot (e.g. 1 genome per 1 μL) Poisson statistics specify that the statistical likelihood of “positive” vs “negative” signals on repeat 1 μL aliquoting will approach 1−e1/e1≈2. Alternatively, when <N>=3 per aliquot, the ratio of (positive vs “negative) signals on repeat measurement would approach 1−e−3/e−3≈20 which is the standard definition of the LLoD defined by the FDA and the USDA food safety and medical diagnostics.


Thus, as seen in Equation #1 and FIG. 1, the first PCR reaction of the present invention does not change the statistical likelihood of introducing an aliquot of fluid sample which, by chance had no genomic DNA or RNA in it to support PCR, or RT-PCR, respectively. Thus, determination of original sample density (genomes/μL) is not altered by PCR #1 (FIG. 1). The substantial signal amplification afforded by the use of that first PCR reaction (FIG. 1) greatly increases the number of amplified DNA molecules in those samples which, by chance, contained one or more nucleic target strands (FIG. 1) thus improving the sensitivity of single molecule detection near LLoD.


Use of a Panel of Multiple DNA Hybridization Reactions to Enhance Authentication of “Bona Fide” PCR-Amplified “Positive” Hybridization Signals


The present invention describes the use of a first PCR or RT-PCR reaction (as in FIG. 1) in the context of a second PCR reaction coupled to DNA hybridization analysis on a microarray, rather than the use of a second real time PCR reaction as the second PCR step. The reason for such a choice is based on the capacity of a microarray to introduce a very large number of control measurements on a microarray, such that any hybridization signal obtained from a “positive” aliquot of amplified RNA or DNA to its cognate surface bound probe, can be verified as being a bona fide (specific) signal by means of direct comparison of that hybridization signal to multiple control probes on the same array (FIG. 2). Such control probes can be readily introduced into each microarray test and can be “mismatched” probes which have been altered by a simple physical change (i.e. to produce mismatched base pairings) or by the use of probes specific to other closely-related organisms, i.e. “species specific” probes. The ability to use a panel of multiple control probes to independently validate the data quality for a “positive” hybridization signal in the LLoD limit, on every sample being analyzed via the microarray test, is a unique property of microarray analysis in the present invention and is not generally possible with real time PCR.


More formally, and in the context of the present invention, when the (n) nucleic acid target sites are distributed throughout the pathogen genome, each can be interrogated by a set (Pn) of at least 9 microarray probes, comprising at least three types of probe (in triplicate). The first probe type (sn) is perfectly matched to a sequence in target site (n) which is chosen to be unique to the pathogen. A second probe type (mn) is identical to (sn) but altered to include at least 10% of base changes to induce mismatches. In addition, there is created at least a third probe type (vn) which is intentionally made to be identical to a sequence in a closely related species variant and to differ in sequence relative to (sn) by at least 10% of base changes (See FIG. 2).


The aggregated signal from all three probe types can be compared to each other to define a numerical value for the certainty that the hybridization signal (S) obtained from the pathogen (on probe sn) is statistically different from the hybridization signal (M) obtained on mn and also the signal (V) on vn; and wherein one such representative numerical value could comprise the relationship “Merit”=[S/(M+V)/2] where based on previous analysis of manufacturing and other sources of variance, “Merit” values at >10 would be significant of validated detection of the pathogen in any sample and values for “Merit” at <2 would indicate that the pathogen signal is not detected.


Nucleic acid-based microarray technology is based on the ability to mass produce DNA microarrays in a low cost a 1″×3″ glass slide format. This platform is used for DETECTX-RV and is scalable to 100,000 DETECTX-RV tests per month.


Briefly, viral RNA is extracted from a swab sample (see below) and taken through two Endpoint PCR reactions performed in tandem. The first PCR performs endpoint RT-PCR reactions on COVID-19 RNA to generate a set of primary DNA amplicons, each directed to one of several important regions of the COVID-19 genome N1, N2, N3. The primary DNA amplicons are used as a template for a second PCR reaction which additionally amplifies the primary product, while also applying a CY-3 fluorescent label to it. The second PCR is set-up as asymmetric PCR, a specialized version of Endpoint PCR, which produces a large excess of the CY-3 dye tagged strand of interest. The second PCR product is single stranded and can be used directly for microarray hybridization without clean-up or thermal denaturation. The workflow enables generation of 576 samples of microarray data/shift, which can be doubled with doubling upfront automation of RNA extraction.


The data is analyzed via AUGURY (Augury Technology company New York N.Y.), cloud-based automated software developed at PathogenDx, which can be implemented with modifications as appropriate. The software uses a basic logarithmic analysis to determine the results and is automatically processed and reported without any user interaction. Further, the cloud-based network capability enables data sharing with any number of testing labs needed to support national screening.


Example 2

A Microarray to Measure Very Low Levels of a Virus Such as COVID-19


Based on the general principles described in background, a microarray test is described with a LLoD at about 1 viral genome per assay and as such more than 10× more sensitive than Q-RT-PCR. Such a >10× sensitivity enhancement enables the ability to detect and speciate COVID-19 at 100 virus particles per swab, which according to the literature is roughly 10× greater sensitivity than any known Q-RT-PCR reaction. Such LLoD performance is a direct result of 3 fundamental principles of tandem PCR coupled to microarray analysis.


Two 30 Cycle PCR Reactions Performed Serially, which Deliver, De Facto, 60 Cycles of Endpoint RT-PCR Amplification Prior to Microarray Analysis


RNA template input held constant, such a 2-step tandem RT-PCR+PCR reaction produces DNA amplicon (to support microarray hybridization) at a concentration that is >3 orders of magnitude greater than the amount of PCR amplified DNA which generates the Cq metric in Q-RT-PCR.


Analysis of Multiple COVID-19 Loci to Reduce the LLoD


Nucleic acid analysis becomes more sensitive when interrogating multiple copy loci, e.g. rDNA in bacteria or fungi, because one genome becomes represented by (n) identical target nucleic acid strands. In the present microarray test, (n)=6 independent COVID-19 test loci were configured, distributed throughout the genome.


Near the LLoD, where aliquot sampling becomes stochastic (see Equations 1 and FIG. 1) ordinary FDA standards specify that the LLOD be defined as the point where the assay generates at least 19/20 positives (due to aliquot sampling statistics). If a single PCR based assay is performed on each COVID-19 genome, such ordinary (Poisson) counting statistics specify that 19/20 positives would result from a population average of N=3 COVID-19 “events” in each sample aliquot being tested, typically 1 μL of an RNA extract. Thus, at n=1 target loci per genome, the practical limit of COVID-19 detection is about 3 genomes of purified RNA per μL.


Equation #2. The Analysis of Multiple Loci per Genome. The Effect on LLoD. Pr(0)=e−<N>, where <N>=the population average of events per sample aliquot=(n×<g>), where <g> is the average number of genomes per sample and n is the number of loci analyzed per genome.


LLoD is defined by the FDA as Pr(0)= 1/20=e−<N>, thus at LLoD <N>=3 (3 average events per aliquot).


For 1 Locus analyzed per genome, (n)=1 and <N>=<g> and LLoD=3 genomes per aliquot (<N>=3).


For 6 Loci analyzed independently per genome, (n)=6 and <N>=6×<g> and LLoD=3/6=0.5 genomes per aliquot (n=6).


(n)=6 independent target loci per genome is easily obtained in a microarray test. In that important case, due to the multiple sampling (n=6) per genome, Equation #2 shows that the same 19/20 LLoD limit would be satisfied by a population average of 3/6=0.5 COVID-19 genomes per test. Thus, simultaneous measurement of (n)=6 independent target loci per COVID-19 test (each being an independent assay of the same genome) can be seen to reduce the LLOD 6-fold from about 3 COVID-19 genomes/assay to about 0.5 COVID-19 genomes/assay.


Multiple, “Built-In” Hybridization Probe Controls to Define “Threshold” Internally for Every Sample


The widely used TaqMan qPCR technology, like all similar Molecular Beacon technologies, is based on deployment of PCR Primers (to amplify the RNA target) and the use of a Probe, to detect by hybridization, the PCR amplicon. Therefore, TaqMan Q-RT-PCR or its various Molecular Beacon equivalents are formally analogous to microarray hybridization analysis, which also relies on deployment of PCR amplification, then detection by hybridization.


Near the LLoD, the sensitivity of all nucleic acid tests (Q-RT-PCR and microarray hybridization included) become limited by the ability to distinguish “positive” signals from background, via the knowledge of a Threshold value to distinguish them from each other. In Q-RT-PCR, the analytical parameter of interest to define a “positive” signal is Cq. In microarrays, the analytical parameter is Relative Fluorescence Units (RFU).


For Q-RT-PCR, background discrimination is based on the setting of a “Threshold” which is based on accumulated historical data, or external “no template controls” run in the same batch, along with actual samples, but external to the sample aliquots themselves. Thus in Q-RT-PCR, in nearly all cases, including the current COVID-19 Q-RT-PCR assays, the crucial calculation of “positive” Cq values vs “negative” signals is performed by extrapolation of an external Threshold and not by direct reference to internal standards within the same sample aliquot (FIG. 3).


As such, the capacity to detect positive signals, near the LLoD, where Cq values are typically at or greater than 35, becomes subject to sample-to-sample variation extrapolated from other measurements, rather than from the sample itself. Such extrapolation is a source of systematic calculational error to reduce the statistical certainty of distinguish “positive” from “negative” signals.


In the present Example, the DNA microarray test performs 144 individual hybridization tests in parallel for each sample aliquot tested. For each of the (n)=6 hybridization tests being used to detect COVID-19, 3 different “specific” probes are used to detect the presence of each of the (n)=6 viral cDNA targets/genome, along with 3 “mismatched” hybridization probes for each of the 6 target loci.


Thus, for the seminal parameter of importance to LLoD in microarray analysis (“positive” probe hybridization) the threshold, which defines the signal as being distinct from a “negative” is obtained for every sample by direct experimental numerical comparison. This is achieved by comparing a set of three “specific” vs three “mismatched” probes vs 3 or more species specific probes (FIG. 2). This set defines the magnitude of a “negative” signal and thus the threshold, via multiple independent methods in the same sample. Consequently, the LLoD for the present DNA microarray based test is much less sensitive to systematic (sample-sample) error in Threshold determination because the crucial comparison between “positive” and “negative” signal is not based on extrapolation, but is based on direct experimental analysis within each sample.


Testing of the microarray in this Example is focused on demonstrating that the LLoD for COVID-19 analysis is superior by an order of magnitude relative to that obtained by any of the known Q-RT-PCR assays. Such demonstration is done by third party testing on matched sample aliquots near the LLoD for microarray analysis relative to multiple commercial Q-RT-PCR COVID-19 tests.


Lowest Limit of Detection


Q-RT-PCR technology has been widely implemented to test for COVID-19 among patients. Q-RT-PCR has been shown to have significantly high false negative rates in the range of 15% up to 48%, requiring re-testing (with the same level of inaccuracy). Therefore, it is challenging to detect low viral loads for patients who are asymptomatic or pre-symptomatic (3,4). FIG. 4A shows the probability of being RT-PCR negative among SARS-CoV2 infected patients and the FIG. 4B shows the probability of being infected, given RT-PCR positive (3)


False negative rates seen for Q-RT-PCR is due in part to the poor signal/noise ratio associated with Q-RT-PCR when it is implemented in the limit of low viral load and may be due to the nature of the principal Q-RT-PCR observable (Cq). It may also be due to poor control of RNA stability during and after collection.


Cq refers to the point at which PCR amplification of the COVID-19 genome produces enough product to be resolved from background (FIG. 3B). In that limit, the signal for (1) genome (Cq=35) is not well-resolved from signal associated with (0) genomes at 40 Cq (FIG. 3A). While that distinction may seem esoteric, in the processing of low viral load samples (swabs or saliva) no more than 10 uL of the RNA extracted from such a sample can be introduced into the Q-RT-PCR reaction. The ability to resolve >1 genome from (0) genomes per PCR reaction is a requirement to set the useful LLoD. If as is ordinarily the case, the processed COVID-19 RNA delivered into Q-RT-PCR constitutes 5% of the viral RNA collected in the original sample to detect viral load of a hundred virion/swab, the LLoD must approach that nearly-theoretical detection limit of 1 genome/reaction, which may be more than 10× lower than the present LLoD for Q-RT-PCR.


The LLoD (Solution): DETECTX-RV, an Alternative Technology Platform. The problems associated with LLoD is well known in the detection of other pathogens. The nucleic acid-based microarray technology of the present invention obviates LLoD limitations. The nucleic acid-based microarray technology is based on the ability to mass produce DNA microarrays in a low cost a 1″×3″ glass slide format.


Deployment of Tandem PCR Prior to Microarray Hybridization Increases the Difference Between “Positive” and “Negative” Hybridization Signal Amplitude


By inspection of typical Q-RT-PCR data (FIG. 3) vs typical microarray data (FIG. 5) is can be seen that the signal size which distinguishes a “positive from a “negative signal in Q-RT-PCR (typically Cq=37 vs Cq=40) comprises a signal change that is generally small. For comparison, it can be seen that the signal size that distinguishes a “positive from a “negative” signal after tandem PCR then microarray hybridization (typically RFU 60,000 vs RFU=500) comprises a signal change that is almost 20× greater than that for Q-RT-PCR. Given that the ability to discriminate “positive” vs “negative” signal is the basis for the determination of LLoD for such testing, these data demonstrate that the signal strength (i.e. the positive-negative signal differential) is more than 10× greater for the present microarray technology, than is the case for Q-RT-PCR. Such representative differences are summarized in Table 3.









TABLE 3







Typical Microarray Hybridization Data vs Q-RT-PCR Data,


Limit near 0













Q-RT-PCR
Tandem
Microarray


Copy

signal
PCR +
Signal


Number

change
Microarray
change


per
Q-RT-PCR
relative
Signal
relative


reaction
Signal (Cq)
to zero
(RFU/1 000)
to zero














100,000
30
20
60
59.5


10,000
34
16
60
59.5


1,000
27
13
60
59.5


100
30
10
60
59.5


10
33
7
60
59.5


1
36
4
60
59.5


0
40
0
about 0.5
0










Epidemiological Pooling is Enabled by Tandem Endpoint PCR



FIG. 5 shows that an additional important attribute of the present invention is that the data of importance, i.e. a positive” vs a “negative” signal in a sample aliquot, is binary in the sense that positive signals quickly converge to a limiting hybridization signal value (about 60,000 in FIG. 5) over about a 4-log dynamic range. Such a binary signal saturation is intentional in the present invention and is a direct result of the fact that both of the tandem PCR reactions (RT-PCR #1 or PCR #1+PCR #2) have been designed to proceed to completion during their execution, and thus are each a type of “Endpoint PCR”. The defining feature of Endpoint PCR (FIG. 3, right) is that the final amount of PCR product obtained after 30 or more cycles of PCR, often reaches a common plateau, independent of the amount of original pathogen input in a sample aliquot. This saturation is used to the benefit of the invention, to create a tandem PCR product, and in turn microarray hybridization data which remains constant (and large) over many factors of sample dilution.


A direct practical result of such saturation is that in many cases, such saturation allows samples to be pooled, as might be useful to expedite very large-scale epidemiological screening. See for instance, representative data as in FIG. 5, where it can be concluded that a sample containing 1,000 genome equivalents could easily be diluted with 10 samples, each lacking any pathogen, to yield a “pooled” sample, at 100 copies per aliquot in the present example, that would still be expected to demonstrate the presence of one or more contaminated samples within the pooled sample cohort.


Exemplary Microarray Test, to Detect COVID-19 and Other Respiratory Viruses Test Content


In this example, COVID-19 is the primary analyte, plus multiple coronavirus targets [SARS-CoV, MERS-CoV, CoV 229E, CoV OC43, CoV NL63, CoV HKU1] plus Influenza [type A and B] as species variants (Table 4).









TABLE 4







DETECTX-RV Content. PCR Primers and Microarray Probes











Target
Microarray
PCR


Viral Target
Sites/Virus
Probes
Primers














SARS-CoV2
N1, N2, N3
12 (Sn) 12 (mn)
3
sets


SARS-CoV
N, 1ab
4 (Vn)




SARS-CoV2
S-D614G
2
1
set


(Mutation)






MERS-CoV
N, 1ab
2 (Vn)
2
sets


CoV 229E
N, 1ab
2 (Vn)
2
sets


CoV OC43
N, 1ab
2 (Vn)
2
sets


CoV NL63
N, 1ab
2 (Vn)
2
sets


CoV HKU1
N, 1ab
2 (Vn)
2
sets


Pan Influenza A-type
M, NS1
2
2
sets


Pan Influenza B-type
M, NS1
2
2
sets


Internal RNA Control
RNAse P
2
1
set









The extra content available in the microarray format allows a very large panel of COVID-19 target sites (n=6) to be measured in parallel and in triplicate. The other six coronavirus targets and two influenza targets are included and are being used as both controls and as a universal screening tool for coronavirus and influenza.


Specificity


For each of the n=6 unique SARS-CoV2 target loci [N1, N2, N3, ORF1ab, RNA-dependent RNA polymerase (RdRP), E] there are (2) microarray probes (Sn), 12 specific probes in total, and 2 mismatched probes (mn) for each, with 10% of intentional base mismatching (i.e. there are 12 mismatched specificity probes). Relative to the twelve COVID-19 specific probes (Sn), the 14 species specific controls (vn) are distributed among other coronavirus (SARS-CoV, MERS-CoV, CoV 229E, CoV OC43, CoV NL63, CoV HKU1). In that format, a Positive COVID-19 signal for any one of the set of six loci, deemed valid if it possesses a fluorescence signal strength of >10× background (>10,000 RFU) while at the same time and in the same microarray, the mismatched specificity probe (mn) generates a signal less than 2× background (<2,000 RFU).


DETECTX-RV Assay Improves the LLoD for Viral Detection


The serial application of two PCR Endpoint reactions (RT-PCR, with Asymmetric PCR) creates a type of analysis which is “Binary” in the sense that, an aliquot of specimen which lacks RNA produces no measurable hybridization signal, under conditions where any input with at least 1 genome copy produces a signal of nearly constant, very large signal amplitude. Such behavior is shown graphically in FIGS. 6A-6C, where during the course of microarray analysis only two classes of hybridization signal are detected namely, “Positives” resulting from samples with one or more copies of viral RNA target (producing fluorescent signals in excess of about 40,000 RFU) vs “Negatives” resulting from samples with (0) copies of viral RNA target, which produce no hybridization signal above background.


“Binary” Hybridization Principles


For LLoD analysis, the highly characterized COVID-19 standards (BEI) have been doped into N=30 separate pooled human nasal secretion samples (Lee Bioscience) along with 20 matched (negative) nasal secretion controls. Subsequent to RNA purification (Zymo kit) the resulting 50 RNA samples were subjected to PCR-Microarray.


As seen from FIGS. 6A-6C, all three COVID-19 targets N1, N2, N3 and the human RNA internal control (P) each display clustered signals that are independent of viral load and which give a (+)/(−) ratio of about 20-110, which is approximately 20× the signal strength typically obtained by Q-RT-PCR in the same range of viral load (FIGS. 6B and 6C). That log increase in Signal-Background is central to the detection power of the DETECTX-RV technology. It should be noted that only 20% of the original 1 ml sample is subjected to RNA preparation, and in turn only 20% of that is used for microarray analysis. Thus, assuming 100% recovery from RNA extraction, the data shown in FIG. 6A comprise at most, signal from 2 copies and 4 copies per test (that is, 1/25th of the original 50 and 100 copies doped into the pre-processed sample).


To confirm the intrinsic detection limit inferred from the LLoD analysis (FIG. 6A, <<5 copies/reaction) a simple dilution series was performed (FIGS. 6B, 6C), where well-characterized purified SARS-CoV2 RNA (ATCC/BEI) is titrated into PBS followed by DETECTX-RV analysis (FIG. 6B) or in parallel, Q-RT-PCR (FIG. 6C) using kits from RayBiotech (gift from RevolutionDx Labs, Dayton Ohio). In all cases, the data shown comprise n=10 determinations at each dilution level, measured in units of copies added/PCR reaction. The DETECTX-RV data (FIG. 6B) displays the “Binary” Characterization described above, especially for N2 and N3 SARS-COV2 target sequences. Within experimental accuracy, the measured signal strength does not diminish with dilution over the range from 550 to 0.7 genome copies/PCR reaction and retains a signal strength of about 20× to negative controls at (0) copy per reaction. Thus, consistent with the LLoD data (FIG. 6A) the detection limit for DETECTX-RV is <1 genome copy per reaction, becoming limited by the stochastic nature of such “copy counting” rather than by diminishment of signal strength as the 1 genome/reaction limit is approached. By comparison, signal from the N1 target diminishes marginally at the lowest level (0.7 copies/reaction). This observed N1 behavior at about 1 copy/reaction can be mitigated by increase of its PCR primer concentration.


Comparison to matched Q-RT-PCR data (N1 target) shows performance typical of all such Q-RT-PCR tests. The data obtained below 5.5 copies per reaction becomes indistinguishable from the detection threshold (Ct≈35) as defined by negative controls. Thus, the detection limit for DETECTX-RV (<1 genome copy per reaction, is more than 5× lower than that of the present Q-RT-PCR assay. A summary of COVID-19 hybridization statistics is shown in Table 5.









TABLE 5







COVID-19 Hybridization Statistics










SARS-CoV2 Targets


Signal Divided


N1, N2, and N3

Standard
by Negative


RNase P Control
Average
Deviation
Background














Negative
N1
273
63



Nasal Samples
N2
1189
287




N3
1726
6601




RNase P
56479
5531



50 copies/reaction
N1
31199
11194
114


Nasal Samples
N2
30904
5507
26



N3
35181
1372
20



RNase P
58614
1317



100 copies/reaction
N1
34781
9650
127


Nasal Samples
N2
33740
8224
28



N3
37647
3459
22



RNase P
60586
1604











Sample Pooling


Based on the substantial Signal/Background ratio obtained with DETECTX-RV near the LLoD (FIGS. 6A-6C), it was determined whether positive samples containing COVID-19 copies near the LLoD could be “pooled” with samples that were also in nasal matrix, but lacked COVID-19 RNA. As previously calculated, the benefit of such pooling appears to reach a maxim at N=10, especially in the limit of a low population infection rate (at 1%).


Such 10-fold pooling is shown in Table 6, wherein a single sample near the LLoD (50 copies/ml) is mixed with an equal volume of 9 samples lacking COVID-19 RNA, yielding a net viral load of about 5 copies/ml. As seen in Table 6, all 3 COVID-19 markers are detected in each of the pooled samples tested. The data show both of the important attributes of “Binary” sample Collection. The signal strength at 5 copies/mi, is about 30,000 RFU, which is identical within experimental accuracy to the 50 copies/ml sample used for pooling (Table 6) and in turn identical within experimental accuracy to identical un-pooled samples at 100 copies/ml (FIGS. 6A-6C). Both the unpooled sample (at 50 copies/ml) and the pooled sample (at 5 copies/ml) are near to the range where simple counting statistics begin to contribute to the data.









TABLE 6







Pooling of Contrived nasopharyngeal Samples












N1
N2
N3
RNase P





















Original
RFU

Original
RFU

Original
RFU

Original
RFU




(un-
Differ-

(un-
Differ-

(un-
Differ-

(un-
Differ-


Specimen
Pooled
pooled)
ence
Pooled
pooled)
ence
Pooled
pooled)
ence
Pooled
pooled)
ence








No.
Copies/PCR






















1
28372
37941
9569
52162
37535
14627
54474
34875
19599
63708
59477
4231


2
1901
35502
33601
7051
34064
27013
43202
35692
7510
63822
58669
5154


3
7096
36504
29408
7772
30066
22294
491
34769
34278
63590
56065
7525


4
54097
35026
19071
52847
24796
28050
55732
37250
18481
63369
58476
4893


5
53035
34549
18486
55302
32452
22850
55422
34985
20437
63288
59814
3474


6
42780
29158
13622
53682
27965
25718
56635
35545
21090
63535
57633
5902


7
61250
38769
22481
58258
41392
16866
56104
37459
18645
63464
59929
3535


8
57968
440
57528
56086
26561
29525
54116
33214
20901
63670
60348
3322


9
45702
31467
14236
56951
24634
32316
55258
34304
20954
63565
57664
5901


10
51537
32639
18898
55067
29572
25495
52673
33719
18953
63656
58067
5589










Test Content


The Problem: The platform limit of Q-RT-PCR can be multiplexed to resolve four analytes in parallel, based on the four principal emission channels on most devices including CDC, LabCorp, Quest (N1, N2, N3, P). This limit may be exceeded as evidenced for Abbott (RdRp, N), Cepheid (E, N2, P) and Eurofins (N,P). However, the “maxed” capacity suggests that the known Q-RT-PCR assays will not be able to accommodate additional testing complexity, such as might arise if alternative COVID-19 clade variants were to emerge. A recent publication has suggested


however, that a stable variant has been detected comprising a mutation in the spike protein S-D614G, which has been hypothesized to be more virulent.


Based on test content capacity alone, detection of both SARS-CoV2 and the S-D614G spike protein mutant will prove difficult to detect on the same q-RT-PCR test. Thus Q-RT-PCR might not be useful as a tool to screen for both variants.


The Solution. The process by which new coronavirus content can be added to DETECTX-RV is very efficient. It is based on the robust probe capacity of the arrays (144) and on the highly standardized methods of PCR primer design and microarray probe design (at one base pair hybridization specificity). As an example, the presumed importance of the S-D614G mutant was only recently published (Apr. 29, 2020). The variant comprises a SNP G-A transition converting Asp to Gly. New probes specific for the wild type and new variant along with a set of mismatched control probes were designed within a day, and submitted for fabrication, and were completed May 11, 2020. Microarray fabrication with these new probes was added to an otherwise identical DETECTX-RV microarray and were completed on May 15, 2020. In parallel, a pair of test amplicons were designed and produced by SGI methods possessing the wild type and new COVID-19 SNP. In parallel, 4 candidate PCR primer pairs have been designed. Probe selectivity was confirmed with the SGI template, and in parallel, inclusivity and exclusivity confirmed experimentally with the full panel of coronavirus research standards in-house from ATCC-BEI.


Specificity


The Problem. While Q-RT-PCR can deliver adequate test specificity it is well-known that the TaqMan probe-template interaction does not adequately resolve SNPs in many cases (6.7) due to the fact that in a TaqMan assay, primer binding, probe binding and the Taq exonuclease activity must all occur at the same time and thus cannot be optimized independently. The problem is exacerbated in the present case (S-D614G) because the SNP generates a “run” of 3G's, which are difficult to accommodate.


The Solution. In this respect, the microarray technology of the present invention is beneficial as it has the capability of routinely generating “all or none” SNP discrimination due to uncoupling of probe binding from PCR. Further, a separate washing step is included for improved specificity. Here, a first set of hybridization tests are shown on a set of probe candidates to detect and resolve the SNP variants which define SARS-CoV2 Clade variation at the Spike protein (D-614G). Methods of probe design were used. Array manufacture was performed in the standard 12-well format, but all other aspects of probe formulation and deposition were identical to those deployed in the 96 and 384 well Plate formats. Six PCR primer pairs were designed and optimized for the standard Tandem PCR (RT-PCR+Labeling PCR) amplification process. Since both “sense” and “antisense” probes were tested, different asymmetric Labelling PCR reactions were deployed, which differed in which of the 2 PCR primers had the 5′-CY3 label in the second PCR reaction (labeling PCR).


Hybridization in 12-Well Slide Format


To evaluate hybridization feasibility in 12-well slides, 50 probes candidates were printed on the slides to detect and resolve the 2 SNP variants which define SARS-CoV2 Clade variation at the Spike protein (D-614G). Proprietary methods of probe design developed at PDx (PathogenDx. Scottsdale, AZ) were used in the design. All aspects of probe formulation and deposition were identical to those used for 96-well and 384-well plates.


A PCR primer pair was designed and optimized for standard (tandem) 2-Step RT-PCR and labeling PCR. Since both “sense” and “antisense” probes were tested, different asymmetric labelling PCR reactions were deployed, which differed in which of the 2 PCR primers had the 5′-CY3 label. The template for this study was a pair of synthetic templates. Each template contained the defining SNP (A or G) embedded in the Wuhan reference sequence for the Spike protein.


Subsequent to standard hybridization and washing in the slide format (similar to 96-well and 384-well plate format), the two SNP variants were resolved with signal (relative fluorescence units, RFU) strength differences in the range from 15-40 (see Table 7) which approaches the theoretical limit for resolving SNPs by hybridization. For expediency, two “Sense Strand” and Two “Antisense Strand” candidates from the probe set were chosen for inclusion in the 384-well Plate “Mini-RV” print content. All four of these probes displayed very good sensitivity and SNP specificity. This Example conforms that the present tandem PCR (RT-PCR+labeling PCR) reaction coupled to microarray hybridization can cleanly resolve two SARS-Cov2 variants which differ by a single RNA base change the Spike protein.


Scalability


The Problem. Scalability of test capacity is a huge challenge particularly during a pandemic. Assuming 1000 COVID-19 test sites throughput the US, this would require the ability for each site to support at least 10.000 tests/shift/site. At present Roche and Abbott lead the pack with Q-RT-PCR capacity, amounting to 250-900 tests/shift and 150 tests/shift respectively. This microarray technology supports population scale nucleic acid screening.


The Solution. In the present deployment of DETECTX-RV, the core array format (12×12) is deployed as 12 tests per slide. Eight such slides are routinely processed in parallel with ordinary fluid handling, thus allowing multiples of 96 tests in parallel.









TABLE 7







Preliminary Spike Hybridization on Multiple Probes Reveals SNP Resolution











614 “D” Gene fragment
614 “G” Gene fragment
Summary













used as template for PCR
used as template for PCR
Average
Average




PCR primer
PCR primer
“on”
“off”
Specificity























Set 1
Set 2
Set 3
Set 4
Set 5
Set 6
Set 1
Set 2
Set 3
Set 4
Set 5
Set 6
signal
signal
ratio

























Negative
818
1378
1306
933
1079
1414
1353
1667
1754
681
1182
1506
N/A
1256
N/A


control

















probe

















Uni-
62680
62844
62585
62792
62846
62966
62692
62739
59582
62912
62980
62382
62500
not
N/A


versal













shown



sense

















probe

















(1.1)

















614D
44032
43713
27743
40724
43321
40221
937
992
785
1070
788
1117
39959
948
42:1


sense

















probe

















(1.1)*

















614G
2910
2293
1344
4040
2936
2742
57171
54694
41786
51479
52386
47918
50906
2711
19:1


sense

















probe

















(1.1)

















614D
32106
26908
15862
26590
29157
29425
782
464
244
464
493
436
26675
480
32:1


sense

















probe

















(1.2)

















614G
1684
1238
284
743
1130
897
38030
40558
30402
38493
38089
38909
37413
996
38:1


sense

















probe

















(1.2)*

















614D
23244
26480
9676
27537
26787
19197
734
691
782
704
842
668
22153
737
30:1


sense

















probe

















(1.3)

















614G
1663
1335
1372
1592
1778
1584
12536
13520
7302
13813
12849
11782
11967
1554
8:1


sense

















probe

















(1.3)

















614D
62650
62275
51469
62764
62758
60077
12087
14478
7047
12071
11956
9954
60332
11266
5:1


sense

















probe

















(1.4)

















614G
4570
4528
2530
3930
4856
4415
62112
61074
46297
55602
53042
55918
55674
4138
13:1


sense

















probe

















(1.4)

















Negative
1084
1319
1276
996
1565
1356
1018
1417
1767
675
1124
1918
N/A
1293
N/A


control

















probe

















Uni-
62556
62369
62425
62448
62356
62579
62441
62311
62164
62398
62360
62466
62406
not
N/A


versal













shown



sense

















probe

















(1.1)

















614D
62556
62369
62390
62448
59860
60257
11481
14199
15072
11668
12673
14795
61646
13314
5:1


sense

















probe

















(1.1)*

















614G
2025
2770
2440
2719
2387
3645
62441
62311
62164
62398
62360
62466
62356
2664
23:1


sense

















probe

















(1.1)*

















614D
44098
44683
43784
47299
43836
43526
5681
2628
3668
1717
2241
2750
44538
3114
14:1


sense

















probe

















(1.2)

















614G
1319
1444
1352
1516
1393
1071
50541
52272
46864
52110
46551
49087
49571
1349
37:1


sense

















probe

















(1.2)

















614D
25571
28872
21946
29427
25272
26117
1474
1745
2490
1749
1821
2893
26200
2029
13:1


sense

















probe

















(1.3)

















614G
1208
1513
1042
1183
1297
1300
25524
26758
20659
27328
28548
34719
27256
1257
22:1


sense

















probe

















(1.3)

















614D
62556
62369
62425
62448
62356
62579
37925
37274
30141
36901
34103
37302
62455
35607
2:1


sense

















probe

















(1.4)

















614G
4597
7848
4909
5042
5793
6225
62441
62311
62164
62398
62360
62466
62356
5736
11:1


sense

















probe

















(1.4)





*Currently on 12-probe 384-well array






At present, coupled to ordinary 96-well magnetic bead RNA purification, the hybridization steps are in all cases faster than the RNA preparation. Automation and system integration are deployed with industry leading partners. Technologies, which have been integrated for DETECTX-RV (FIG. 7A) are each already approved for invitro diagnostic (IVD) use for workflow required for DETECTX-RV testing viz, RNA preparation via magnetic beads (“Tecan”, Tecan Trading AG) RT-PCR and PCR (Thermo) Open Architecture, Ambient Temperature Binding and washing (Tecan) and microarray imaging (Sensovation). The AUGURY software discussed in Example 1 was developed at PathogenDx and has all functionalities in place to support DETECTX-RV data acquisition and analysis and has been modified to process both 96-well and 384-well plates. Its capacity to manage and upload such data into a secure Cloud Network is also complete and fully validated for RUO use. AUGURY is in place among 100 Regulated Testing Labs. Additionally, AUGURY may be operated on a customer's slide imager or computer. This is an advantage as it obviates the requirement for uploading large size images to the cloud which may be time consuming. Smaller size dot score files and output reports may continue to be uploaded to the data repository in the cloud.


Example 3

DETECTX-RV-V2


The full content of the original DETECTX-RV assay is described in Example 2 and Table 4. Table 8 shows a variant (DETECTX-RV-V2) of that Pan Coronavirus format. It is based on SARS-CoV2 analysis at (N1,N2) as in the original assay and differs in the inclusion of 2 new microarray probes and an additional RT-PCR primer pair to interrogate the recently described novel S-D614G mutant (5) in the same assay.









TABLE 8







Streamlined COV1D-19 Analysis, DETECTX-RV-V2













Target
Micro-



Row

Sites/
array
PCR


#
Viral Target
Virus
Probes
Primers














1
SARS-CoV2 (hCoV-19)
N2
2
1 set


2
SARS-CoV
N2
1



3
hCoV-19/pangolin
N2
1




(groups 1 and 2)





4
hCoV-19/bat/Yunnan/RaTG13
N2
1




(2013)





5
Bat_SARS-like_CoVZC45
N2
1




and XC21





6
hCoV-19/bat/Yunnan/RmYN02
N2
1



7
SARS-CoV2 (hCoV-19)
N1
2
1 set


8
SARS-CoV2 (Mutation)
S-D614G
2
1 set


9
Internal Control
RNAse P
1
1 set









The streamlined DETECTX-RV-V2 assay deploys 12 microarray probes, which when printed in N=12 multiplicity, become a highly redundant 144 probe array suitable for printing in the present 12-well slide format, and in the more automation-friendly 96-well Society for Biomolecular Screening (SBS) format (FIGS. 7B-7C). DETECTX-RV-v2 additionally contains a set of 4 other coronavirus (rows 3-6, Table 8), which have been previously identified by cluster analysis (GISAID—Initiative) as being the closest SARS-CoV2 homologues. These targets provide functionally relevant “species specificity” controls that help confirm that the signals obtained from SARS-CoV2 (COVID-19) or its S-D614G mutant are specific. It must be noted that although the DETECTX-RV-V2 test variant is simpler in design and execution than the original DETECTX-RV prototype (Table 4) its test content is at least 3× greater than any Q-RT-PCR assay.


Structure of the 96-Well Format for DETECTX-RV-V2


The 96-well late format (FIGS. 7B-7C) for COVID-19 testing, developed by Schott glass (NEXTERION) uses epoxy-silane coated, Teflon masked slides. They serve as an excellent substrate for microarrays. The 96-well plate SBS format is better suited for large scale, COVID-19 testing. Although the plate format is slightly more expensive than the slide format at small scale, the COGS for arrays in plates are less than on slides, at production >714,240 arrays/month.


The 96-well DETECTX-RV-V2 workflow has been integrated into off-the-shelf Tecan automation (Freedom Evo-2 100 Base) beginning with magnetic bead-based RNA extraction (Zymo) and ending with automated microarray hybridization and washing. The intervening PCR reactions are mediated by Tandem Thermo-ABI cyclers and imaging is performed on a Sensovation CCD based imager. Data generated is fed into AUGURY software discussed in Example 2 for autonomous plate reading, microarray data compilation and analysis.


The major strength of the DETECTX-RV-V2 technology is its large-scale public health application in any setting including at-home, at-work, healthcare institutions and transportation hub sample collection for diagnosis and detection of active and asymptomatic individuals. Current use of nasopharyngeal swabs is not suitable for such collection, due in most cases to the difficulty of sample collection and the instability of RNA on such swabs, using the currently used transport media of the day.


High Throughout Automation


The Tecan robot or other commercial equivalents can process multiple 96-well plates in parallel, thus sample throughput of (6) 96-well microarray plates/shift is possible (FIGS. 7A-7C). Upon transition to a 384 well format, the Tecan and related commercial robots can be reprogrammed for the higher-throughput 384-well format.


DETECTX-RV-V3


Deployment of DETECTX-RV-V2 enables 12,000 arrays/day in a 96-well array plate format providing a 360,000 arrays/month capacity. While DETECTX-RV-V2 will retain its 12×12=144 element structure (in 7 mm wells), the 384-well structure (3.5 mm wells) will accommodate a 6×6=36 probe array. The core probe content for SARS-CoV2 (N1, N2)S-D614G variant and Human RNase-P (P) internal control can all be included along with SARS CoV and MERS CoV as species specificity controls as 12 probes, printed in triplicate. The DETECTX-RV-V2 format may be modified to include pan Influenza A and Influence B probes to generate a targeted pan-respiratory virus test (DETECTX-RV-V3). The DETECTX-RV-V3 format has substantial benefits since it readily adapts to increase system testing throughput to more than 2,104 tests/shift, which exceeds existing commercial testing technologies and at the same time achieves a 3× reduction in test cost, from manufacturing & reagent economies of scale.


Manufacturing


DETECTX-RV-V2 & DETECTX-RV-V3 are each manufacturable in 24 hours with a single printer in batches of 62 plates, comprising 6,000 arrays/day (96-well plate) 24,000 arrays/batch/day (384-well plate). Each printer completes two batches per 24-hour day.


Example 4

Development of a Fully Featured Pan-Coronavirus-Influenza Test


DETECTX-RV System Architecture.


The entire suite of Pan-Coronavirus content (Table 4) has been designed, developed and manufactured and is resident in the DETECTX-RV version of the assay. The full Pan-Corona Respiratory Virus content suite is validated using standardized viral reagents from ATCC-BEI, which are spiked into the same matrices (nasal and saliva). The test format employed for such expanded validation uses the LLoD and N=30 repeats testing protocols.


Early stages of COVID-19 clade development are in progress, which could be selected for stable changes in environmental durability, virulence or acute symptomology. PathogenDx monitors such data on a daily basis. At such time that solid evidence emerges for development of stable COVID-19 clade variants, new content was immediately added to DETECTX-RV (FIG. 8).


The process by which new coronavirus content can be added to DETECTX-RV is very efficient due to the robust probe capacity of the arrays (144), and the highly standardized methods of PCR primer design and microarray probe design (at one base pair hybridization specificity).


If a new SARS-CoV2 subtype were identified in the literature, based on one or more regions with local sequence change in one of the domains already Interrogated in DETECTX-RV (N1. N2 or N3), PCR primer design would not change. The only modification is design of one or more new probes specific for the new variant added to the existing DETECTX-RV microarray. In parallel, a test amplicon would be produced by ordinary SGI methods possessing the new COVID-19 sequence markers. Probe selectivity would be confirmed with the SGI template, and in parallel, inclusivity and exclusivity confirmed experimentally with the full panel of coronavirus research standards in-house from ATCC-BEI.


On the other hand, if the new content were in regions not yet being interrogated, the process remains the same, with the added task of designing and fabricating a primer pair to amplify the COVID-19 region of interest. The primer design process occurs in parallel to probe design with a 2-week turnaround for the desired DETECTX-RV test modification.


DETECTX-RV Enhanced Content (DETECTX-RV-V2)


The DETECTX-RV assay coupled to nasopharyngeal swab collection is presently being launched into CLIA certified labs for human diagnostics screening. Its oligonucleotide probe content (Table 4) comprises a 12×12 array, at present, with RNA targets comprising sites within a set of 10 respiratory viruses and a human RNA control (RNase P). Of these, SARS CoV2, SARS-CoV and SARS COV2 (mutation) support pandemic testing. The remainder of the test content (other coronaviruses and Influenza) are present as probes within the present 12×12 array and used as specificity controls.


In the Tandem, Asymmetric, Two-Step implementation of the present invention, DETECTX-RV workflow begins with viral RNA that had been extracted from a nasopharyngeal Swab Sample followed by two Endpoint PCR reactions in tandem. The first PCR, an “Enrich” PCR (FIG. 9) performs (N=4 multiplex) endpoint RT-PCR reactions on COVID-19 RNA to generate a set of primary DNA amplicons, each directed to one of several important regions of the COVID-19 genome N1, N2, N3 (Table 4). The primary DNA amplicon product serves as the template for a second PCR reaction The second PCR reaction is set-up using CY-3 fluorescent labeled primers (“Labelling” PCR) in 4-fold or 8-fold excess over unlabeled reverse primers which are not dye labelled. The second PCR is set-up as asymmetric PCR—a specialized version of endpoint PCR and produces a large excess of the CY-3 dye tagged strand of interest. The second PCR product is single stranded and therefore can be used directly for microarray hybridization without clean-up or thermal denaturation. This technology is robust for large scale respiratory virus screening of clinical samples in at-home, at-work and healthcare institutional settings.


The DETECTX-RV workflow shown in FIG. 9 can generate 576 samples-worth of microarray data/shift; which can be doubled with doubling up-front automation of RNA extraction. The data is analyzed autonomously via AUGURY software.


Example 5

Sample Collection


The COVID-19 pandemic has confirmed what many had known from field study of zoonotic disease: namely that the “Viral Transport Media” (VTM) used to collect virus on swabs, are poor stabilizers of viral RNA. To address this, a novel chemical stabilizer from GENTEGRA LLC (GTR) as well as inexpensive polymer stabilizers (PVS) along with well-known lab-based RNAse inhibitor (RNA-Shield) are used to allow for stable field collection of respiratory virus samples on swabs without refrigeration. Stabilized swab collection (COVID-19, Coronavirus and Influenza stability over one week at 30° C.) enables better clinical collection of nares swabs and saliva fluid also enables at-home nasal swab collection for population scale screening in centralized labs. Emphasis is to support very large-scale clinical collection (nares) plus at-home (lower nasal) collection.


Modified Swab Design


A modified swab design that includes chemical stabilizers of viral RNA initiated in collaboration with GENTEGRA LLC enables samples to be transported at ambient temperature. This improved collection design may be employed with the DETECTX-RV-V2 platform to support very large-scale clinical collection and at-home collection.


Modified Sample Processing Hardware and Software for System Integration


The technologies for integration into DETECTX-RV are approved for in vitro diagnostics use for the type of workflow required for DETECTX-RV testing—RNA preparation via magnetic beads (Tecan) RT-PCR and PCR (Thermo Fisher Scientific), open architecture, ambient temperature binding and washing (Tecan) and microarray imaging (Sensovation AG). The AUGURY software has all functionalities in place to support DETECTX-RV data acquisition and analysis. Its capacity to manage and upload such data into a secure cloud network is also complete and fully validated for RUO use.


Modified Saliva Collection by Chemical Stabilization of Viral RNA.


A “mouthwash” based saliva collection technology (QUIKSAL) is employed for collecting saliva samples. In a separate set of studies, 200 nasopharyngeal swabs are collected per the standard RevolutionDx and Lucid Lab protocols along with matched QuiKSal mouthwash collection from the same individual (400 matched swabs and Saliva). The swab and half of the mouthwash is analyzed in accordance with standard Q-RT-PCR workflow, while the remainder of the mouthwash was split and shipped at ambient temperature and −20 C in transport medium for analysis at PathogenDx on the DETECTX-RV-V2 microarray. The samples analyzed at PathogenDx have no associated personal identifiers or medical information other than the Cq values obtained from Q-RT-PCR testing at RevolutionDx.


Feasibility of Sample Pooling from Swabs and Saliva for Population Scale Screening


Pooling of swab and saliva samples among pre-symptomatic individuals is a powerful tool to enable contact tracing. This is established by the findings that demonstrated pooling of specimens with the highest COVID-19 load from at least 64 nasopharyngeal swab samples via Q-RT-PCR is free of false negatives when the input (positive) sample used for pooling is a clear, “strong positive” and characterized by a Cq value <30 (FIGS. 3A-3C, 4A and 4B). Specifically, the threshold for determination of “COVID-19 Positive” is Cq<35 for most Q-RT-PCR assays. At this threshold, the intrinsic “False Negative” rate is about 20% to about 40%.


Sample pooling is a powerful public health screening tool. However, for the most useful pooling levels (N≥10) for many COVID-19 positive samples (those with Cq >30) Q-RT-PCR generates an unacceptably high “Pooled False Negative Rate”. If that occurs, sample pooling in combination with Q-RT-PCR would not be adopted as a routine public health or industrial hygiene tool.


As shown in Table 6, data with contrived nasopharyngeal samples near the LLoD (at 50 genome copies/ml) suggests that DETECTX-RV may have the sensitivity needed to enable expanded pooling (N=10) with a reduced risk of false (pooled) negatives. Therefore, contrived samples are used to refine the sensitivity and specificity of N=10 pooling similar to that shown in Table 6, with technical emphasis on increasing cycle number from 30-35 in the Enrichment RT-PCR reaction. Pooling is then performed prior to RNA extraction, on the same swab and saliva samples freshly obtained. Raw samples (unstabilized swabs or stabilized swabs or stabilized saliva) are measured immediately by both DETECTX-RV-V2 and by Q-RT-PCR. Immediately upon identification of “true “positives”, the set is divided into quartiles, based on the semi-quantitative Q-RT-PCR data (that is, Very High. High, Medium. Low) for viral load based on the Cq value associated with each. 20 uL of each such positive sample are immediately mixed with 20 uL of 9 of the many “negatives” to yield 200 μL of pooled sample and transferred directly into Zymo RNA lysis buffer for freezing prior to RNA extraction. This approach permits the nasopharyngeal swab or saliva studies to yield up 40-80 unique N=10 pooled samples, where data for each pooled sample (Table 8) is directly compared to the “positive” from which it originated.


Example 6

Analysis of Clinical Samples (Nasopharyngeal Swabs)


Clinical Sample Evaluation:


PathogenDx received 50 blinded nasopharyngeal swab samples in flash frozen Abbott Transport Media from Testing Matters Laboratory (TM Labs—Sunrise, FL, CLIA certified) to evaluate the performance of the PathogenDx DETECTX-RV assay in comparison to the FDA-EUA approved Abbott Real-Time SARS-CoV2 qPCR assay.


Each of the 50 samples were collected on the same day/same time, one sample was collected from the right nostril and one from the left nostril. The two separate samples (each separately labelled and stored identically in transport medium) were taken back to TM Labs where one sample was flash frozen and shipped to PathogenDx and the second sample was processed and screened according to the Abbott Real-Time SARS-CoV2 qPCR assay FDA-EUA protocol. The results from the Abbott testing at TM Labs were shared after PathogenDx had screened the 50 samples using the DETECTX-RV assay.


The 50 matched samples that were sent to PathogenDx, arrived frozen on dry ice and were stored at −80° C. until use. The samples were thawed on ice and 400 μL of the 2 mL sample was used as the input for the Zymo Quick-DNA/RNA Viral MagBead purification. The purified RNA was then used to screen for SARS-CoV2 in these patient samples according to the PathogenDx product insert using the Promega AccessQuick RT-PCR system coupled to the PathogenDx PCR and the corresponding microarray test.


There were 50 total samples tested as well as the PathogenDx external positive and negative controls. Table 9 shows the results of the analysis.









TABLE 9







Comparison of Q-RT-PCR and DETECTX-RV analysis














Abbott
















Q-RT-PCR
PathogenDx DETECTX-RV
PathogenDx DETECTX-RV



COVID-19
SARS-COV-2 (Run 1)
SARS-COV-2 (Run 2)













Sample
Ct
POS/
RFU Value
POS/
RFU Value
POS/

















ID
Value
NEG
N1
N2
N3
NEG
N1
N2
N3
NEG




















18997

NEG



NEG






18977

NEG



NEG






18955
15.4
POS
43951
42054
45570
POS
45156
41096
52115
POS


18902

NEG



NEG






18907
24.21
POS
16988
18392
40621
POS
11354

41910
POS


18943

NEG



NEG






18974

NEG

11452
40725
POS



NEG


18913
25.67
POS
37474
37443
47522
POS
31044
34238
51157
POS


19032

NEG



NEG






18962

NEG



NEG






18969

NEG



NEG






18994

NEG



NEG






18983

NEG



NEG






19029

NEG



NEG






18989

NEG



NEG






18935
11.56
POS
42479
40111
42063
POS
46701
40965
52325
POS


19026

NEG



NEG






18906
26.13
POS
8858
15329
45827
POS
11021
8272
46969
POS


18958

NEG



NEG






18963

NEG



NEG






19005

NEG



NEG






19016

NEG



NEG






18993

NEG



NEG






18986

NEG



NEG






19014

NEG



NEG






19027

NEG



NEG






18928

NEG



NEG






18867

NEG
30246
34971
51303
POS
18297
21713
48564
POS


19020

NEG



NEG






18871

NEG



NEG






19030
26.25
POS
16515
18861
46116
POS


39022
RERUN


18953

NEG



NEG






19022

NEG



NEG






18927

NEG



NEG






18972

NEG



NEG






19003

NEG



NEG






18870

NEG



NEG






18978

NEG



NEG






19024

NEG



NEG






18910

NEG



NEG






18981

NEG



NEG






19017

NEG



NEG






18990

NEG



NEG






19000

NEG



NEG






19007

NEG



NEG






19025

NEG



NEG






19019

NEG



NEG






18937
25.3
POS
27209
26359
31789
POS
28012
31267
50736
POS


18967

NEG



NEG






19009

NEG



NEG









Run 1—The DETECTX-RV assay demonstrated 100% concordance with the samples called positive (N=7) using the Abbott system and 93% concordance with the samples called negative (N=43) using the Abbott system. The PathogenDx, DETECTX-RV assay identified 2 additional samples as positive, that were identified as negative by Abbott testing and one additional sample as needing to be rerun. Measurements were repeated for all 9 samples of the samples that were identified as positive using the DETECTX-RV assay.


Run 2—The DETECTX-RV assay demonstrated 86% concordance (6 DETECTX-RV/7 Abbott) with the samples called positive (N=7) using the Abbott system. The one sample that was discordant was identified as a rerun on the second run. The rerun confirmed the positive signal from Run 1 for the two samples that were identified as negative by Abbott testing. The one previous sample that was identified as a rerun came back as negative on the second run. Table 10 summarizes the results from Run 1 and Run 2.









TABLE 10







Summary of results from Run 1 and Run 2












POS (N = 7)
NEG (N = 43)







Run 1
100% POS
95% NEG + 2 POS



Run 2
86% POS + 1 RERUN
97% NEG + 1 POS










Example 7

Analysis of Environmental Samples (Surface Swabs and Air)


One of the greatest challenges in performing environmental monitoring of air and surfaces for viral contamination is the collection and stabilization of the viral RNA prior to analysis. To overcome this challenge, the strategy of utilizing a dilute RNA stabilization solution (from GENTEGRA LLC) called “ATA” here was evaluated at 1:40 dilution in 1×PBS and/or DNase/RNase Free Water for stabilization of COVID-19 RNA collected from surfaces on swabs or from the air into a fluid collection solution, using a device from Bertin Corporation, as an example.


Environmental Monitoring of Air


To determine if the air is contaminated with bacteria, fungi, and/or virus air was collected using the Coriolis Micro Air Sampler from Bertin. In this utilization, the stability of viral RNA was evaluated during and up to 72 hours post collection. In this demonstration the GENTEGRA RNA stabilizer (“ATA”) was diluted at 1:40 dilution in 5 mL of 1×PBS, pH 7.2 or molecular grade water. Purified 5 μL of SARS-CoV2 RNA was spiked at 200,000 copies/μL directly into the collection cone and ran the instrument to dryness, which took ˜30 min, during which the spiked sample was exposed to the particulate contamination resulting from @2 m3 of collected air input. Post air collection the dry viral RNA plus dried stabilizer and accumulated airborne contaminants were resuspended in 1 mL of molecular grade water and stored the samples at room temperature (0, 24, 48, and 72 hours) until RNA purification was performed. The RNA was extracted and purified using the Zymo Quick DNA/RNA Viral MagBead collection kit and the samples were ran on the DETECTX-RV assay by PathogenDx. RNA collection and stability for the entire 72 hour period as demonstrated in the FIG. 10, which presents signals obtained from the N3 region of COVID-19 as measured on the DETECTX-RV assay produced via the present invention. Data are presented as raw microarray hybridization signals obtained from probes for the N3 region, as a function of post-collection storage time at RT (in hours). The positive control constitutes an identical matched, unprocessed spiked COVID-19 sample that had not gone through air collection, air drying or storage. The data show that the 30 minutes of air collection (0 hours) did not give rise to measurable RNA loss, nor did up to 72 hours of RT storage of the dried air-collection sample prior to analysis.


Environmental Monitoring of Surfaces by Swabbing


To determine if the surface is contaminated with a microbe (COVID-19 virus in the present example) surface swab samples were collected using nylon flocculated and rayon swabs. In this utilization, the stability of viral RNA during and up to 24 hours post collection was evaluated. In this demonstration, the “ATA” RNA stabilizer was diluted 1:40 in 5 mL of 1×PBS, pH 7.2 or molecular grade water. Purified 5 μL of SARS-CoV2 RNA was spiked at 200,000 copies/μL then applied it directly onto a stainless-steel surface. The swab was removed from its sterile case and three drops of the dilute “ATA” stabilizer were placed onto the swab to moisten it. The surface was swabbed to collect the viral RNA. The swab was placed directly back into the sterile container and allowed to sit at room temperature for 24 hours. Post surface collection and either (0 hrs) or (24 hrs) of ambient temperature swab storage, 1 mL of 1×PBS, pH 7.2 was added to the swab in the container and vortexed for 10 seconds. 400 μL of the resuspended viral RNA was removed for viral RNA preparation. The RNA was extracted and purified using the Zymo Quick DNA/RNA Viral MagBead collection kit and the samples were run on the DETECTX-RV assay, monitoring the fluorescence signal from the COVID-19 (N3) region. The positive control constitutes an identical matched, unprocessed spiked COVID-19 samples that had not been applied to the surface or gone through swabbing or storage. The data demonstrate RNA recovery and stability from a surface swab, subsequent to ordinary ambient storage of the swab for 24 hrs, as assessed by analysis via the present invention, as demonstrated in FIG. 11.


Example 8

Analysis of Mouthwash Samples


The purpose of this study was to demonstrate that the present invention could be used to detect COVID-19 RNA in a novel oral rinse solution (QuiKSal from CLC Corporation) which had been spiked into it at clinically meaningful levels, then analyzed subsequent to several days of unrefrigerated ambient temperature storage, to emulate overnight shipping from point of collection to a central lab for COVID-19 analysis by the present invention. Two versions of QuiKSal were tested. One possessed a tracking Dye (SOW+) and one without the dye (SOW−).


The QuiKSal procedure asks the patient to swish 1 mL of the QuiKSal and spit the QuiKSal into the sterile storage container. The collection procedure was mimicked by spiking in a high and a low SARS-CoV2 RNA into 1 mL of QuiKSal. Eight 1 mL aliquots of Oral Rinse Solution were created, with and without SARS-CoV2 RNA spike. Two of the spiked sampled aliquots had 200,000 copies/mL (high) of a SARS-CoV2 standard (Integrated DNA Technologies) while the other six aliquots were spiked to 20,000 copies/mL (low). Following the addition of the RNA to the samples the samples were stored from 0 to 72 hours at room temperature to evaluate the stability of the RNA in the QuiKSal mouthwash. Following incubation, the RNA was isolated using the Zymo Quick-DNA/RNA Viral MagBead kit by removing 400 μL of the QuiKSal for sample preparation per the manufacturer's instructions. Following sample preparation, the samples were analyzed using the PathogenDx DETECTX-RV test, based on the teaching of the present invention.


Array data (FIG. 12) showing detection of SARS-CoV2 N3 target gene relative fluorescent units (RFU) at various time points after spike into SOW+ (with dye) and SOW− (minus dye). No signal was obtained from the no template control oral rinse (not shown). Signals above 10,000 RFU are considered positive.


The present invention was capable of detecting COVID-19 RNA from the QuiKSal oral rinse with or without dye. COVID-19 RNA in that stabilized mouthwash was detectable via the present invention for up to 72 hours at room temperature.


Example 9

Printing and Quality Control


96-well plates were printed with the hybridization probes under conditions optimized to eliminate dust and fiber contamination in the wells. Optical Inspection suggested that there are no measurable failures in printing (FIG. 13A, pate #9901005001). Similarly. 384-well plates were printed with the hybridization probes. The plates were inspected using Sensation Imaging and reveal no measurable failures (FIG. 13B, plate #1 9980001001). Therefore, no further changes to printing parameters and slide processing (UV and well mounting) are required. The array structure and probe layout for the 96 well plate (FIG. 13A) are shown in FIGS. 8 and 14. The probes and probe layout for the 384-well printing (FIG. 13B) are exactly as displayed in FIGS. 16A-16D and as described in Table 12.


Hybridization Analysis


A small number of validated clinical nasopharyngeal swab samples obtained from Boca Biolistics having 11 positives and 1 validated nasopharyngeal negative control were subjected to standard 2-step tandem RT-PCR (RT-PCR+PCR). Standard hybridization and washing were performed with an increase in hybridization (136 μL) and wash (200 μL) volumes, followed by imaging from the bottom of the fully assembled 96-well plate (plate #9901005001). FIG. 14 shows one of the positive samples from one well of the 96-well plate. A gradient of probe affinity was used for each of the locus analyzed using N1, N2, N3 and RNAse P probes. Four of the loci (N1, N2, N3, RNAse P) are for COVID, while the rest are species controls including other coronavirus, Influenza A and Influenza B. As seen, the array structure has well-characterized sample signals for all targets (N1, N2, N3, RNAse P probes). Negligible cross hybridization is observed among the various controls.


Pilot Study on Clinical Nasopharyngeal Isolates on Identical DETECTX-RV Arrays in 96-Well Vs 12-Well Slide Format


A small number of validated clinical nasopharyngeal samples obtained from Boca Biolistics having 11 positives and 1 validated nasopharyngeal negative control were subjected to standard 2-step tandem RT-PCR (RT-PCR+PCR). Samples were analyzed on the 96-well slide format with direct comparison to match samples on the 12-well slide format and are shown in Table 11. Signal intensity was optimized by increasing labelling PCR reaction volume and sample volume.









TABLE 11





Comparison of DETECTX−RV data on 96-well plates and 12-well slides.



























384-well plate














Sample # →
17
18
19
20
21
22
25
26
27
28
29
30





H-RNAse
D
D
D
D
D
D
D
D
D
D
D
D


P positive














control














Negative RT-
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND


PCR control














SARS-CoV2
D
D
D
D
ND
D
D
D
D
D
D
D


N3














SARS-CoV2
D
D
D
D
ND
D
D
D
D
ND
D
D


N1














SARS-CoV2
D
D
D
D
ND
ND
D
D
D
ND
D
D


N2





12-well slide














Sample # →
1
2
3
4
5
6
7
8
9
10
11
12





H-RNAse
D
D
D
D
D
D
D
D
D
D
D
D


P positive














control














Negative RT-
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND


PCR control














SARS-CoV2
D
D
D
D
ND
D
D
D
D
D
D
D


N3














SARS-CoV2
D
D
D
D
ND
D
D
D
D
ND
D
D


N1














SARS-CoV2
D
D
D
D
ND
D
D
D
D
D
D
D


N2





D = detected, signal above threshold; ND = not detected, signal below threshold







Probe Design and Probe Material Assembly of Mini-RV 384-Well Microarray


The probe content for the smaller version of DETECTX-RV (Mini-RV V1) was designed and is shown in Table 12. FIG. 15 shows a 6×7 probe layout for the Mini-RV 384-well microarray where the contents are printed in triplicate.









TABLE 12





Probe content in Mini-RV, 384-well plate format
















1
Negative hybridization control probe


2
SARS-CoV2 N1 probe


3
SARS-CoV2 N2 probe


4
SARS-CoV2 N2 probe alternate


5
SARS-CoV2 N3 probe


6
RNAse P probe


7
Influenza A probe segment (M)


8
Influenza B probe segment (NS)


9
SARS-CoV2 (S) 614D probe antisense


10
SARS-CoV2 (S) 614G probe antisense


11
SARS-CoV2 (S) 614D probe sense


12
SARS-CoV2 (S) 614G probe sense


B1
Blank (for make-up/manufacturer error correction)


B2
Blank (for make-up/manufacturer error correction)









Example 10

Mini-RV Hybridization in 384-Well Format


SARS-CoV2 probe specificity and characteristics of probe prints were evaluated for clinical nasopharyngeal swab samples.


Materials:






    • 384-well test print—9980001001

    • DETECTX-RV Kit

    • SARS-CoV2 Standard at 200 Copies/Reaction (Exact Diagnostics LLC)





Probes were printed in triplicate and amplified at 200 copies/reaction. A pooled PCR sample was created from 24 individual PCR reactions amplifying SARS-CoV2. FIGS. 16A-16D shows data for a representative well. A clear replicate fluorescent signal was obtained between wells for RNAse P, SARS-CoV2 N1. N2 and N3 probes (FIGS. 16A, 16B). FIGS. 16C and 16D show the results of imaging analysis for the CY5 (Probe label) and CY3 (amplicon) label. These data demonstrate feasibility of the 2-step labeling protocol and functionality of the 384-well plate.


Example 11

Optimization of Microarray Manufacture


By increasing the amount of UV cross linking from 300 mJ to 500 mJ, the signal strength obtained for COVID-19 microarray analysis in the 96-well and 384-well plate format was comparable (Tables 13 and 14) to that obtained with 12-well slide hybridization as assessed by LLoD and clinical specimen analysis.









TABLE 13







Comparison of SARS-CoV2 Hybridization Signals on 12-well,


96-well and 384-well plates for 30 Contrived LLoD Samples.


(62.5 copies/ml in Boca nasopharyngeal


negatives using the 2-Step method)










Average
Standard Deviation










12 -Well









SARS.COV2-N1-RE1.1
48543
9553


SARS.COV2-N2-RE1.3
51253
11844


SARS.COV2-N3-RE1.1
57398
12004


RNAse.P.Probe-pub1.1
60697
11038







96-Well









62-Negcont-B
537
508


SARS.COV2-N1-RE1.1
38377
25385


SARS.COV2-N2-RE1.3
48524
13774


SARS.COV2-N3-RE1.1
56905
11754


RNAse.P.Probe-pub1.1
60312
11108







384-Well









62-Negcont-B
2328
872


SARS.COV2-N1-RE1.1
48919
10759


SARS.COV2-N2-RE1.3
37186
7833


SARS.COV2-N2-RE1.4
54071
10080


SARS.COV2-N3-RE1.1
54087
9993


RNAse.P.Probe-pub1.1
55129
4339
















TABLE 14







Comparison of SARS-CoV2 Hybridization on 12-well, 96-well and


384-well plates for 30 positive and 30 negative clinical samples


(Boca/NP/VTM using the 2-Step method)













Positive

Negative



Average
Standard
Average
Standard



Positive
Deviation
Negatives
Deviation










12-Well











62-Negcont-B
1640
312
1711
209


SARS.COV2-N1-RE1.1
32850
19701
1322
2343


SARS.COV2-N2-RE1.3
38570
15524
2980
6620


SARS.COV2-N2-RE1.4
43670
16656
3779
6748


SARS.COV2-N3-RE1.1
59723
5485
5182
10348


RNAse.P.Probe-pub1.1
62532
319
63073
165







96-Well











62-Negcont-B
122
351
347
336


SARS.COV2-N1-RE1.1
35577
20782
251
1474


SARS.COV2-N2-RE1.3
26098
15252
1383
1220


SARS.COV2-N2-RE1.4
54771
13048
1852
8090


RNAse.P.Probe-pub1.1
62475
298
62611
788







384-Well











62-Negcont-B
2233
761
2512
510


SARS.COV2-N1-RE1.1
30764
16572
1354
1698


SARS.COV2-N2-RE1.3
28451
15541
2781
2658


SARS.COV2-N2-RE1.4
51946
11150
5203
10023


SARS.COV2-N3-RE1.1
54192
6684
5224
8237


RNAse.P.Probe-pub1.1
57343
1681
57494
1496









Example 12

Performance Optimization


Methods to improve signal strength and overall performance were analyzed for 96-well plates (FIGS. 17A-17D) and led to the following basic principles for 96-well plates, which were similarly deployed in the analysis of 384-well plates.

    • a) Plates must be cross-linked prior to mounting of the 96-well (or 384-well) polycarbonate top.
    • b) A modest increase in signal strength is obtained by mixing and/or an extension of hybridization time from 30 min to 60 min (FIG. 17E). Mixing alone improves signal strength and may be facilitated with a plate shaker. Optimization data for the hybridization in 96-well format are summarized in FIG. 17F.
    • c) Image quality is improved by introducing a 1 min plate centrifugation. This step is performed prior to loading the plates onto the Sensovation Imager.


      Asymmetric One-Step RT-PCR Optimization


      Validation of Asymmetric One-Step RT-PCR Using Purified SARS-CoV2 RNA


      Materials:
    • 1. 12-well glass slides—99030002 print series.
    • 2. DETECTX-RV kit.
    • 3. Purified SARS-CoV2 RNA (ATCC, NR-52285)
    • 4. Labeling primers


      Optimization 1


To determine if the Tandem 2-step (RT-PCR+Labelling PCR) reaction can be combined to a single step (Asymmetric One-Step RT-PCR) to reduce assay times, first, different primer ratios (labeled:unlabeled) were used in the PCR reaction to establish optimal cycle number to achieve sensitivities similar to the 2-step reaction (LoD ˜2 copies/reaction, 125 copies/mL)


Four different primer concentrations and ratios (labeled:unlabeled 4:1, 4:1, double concentration, 8:1, 2:1) were used. Three different cycling conditions were used over a dilution (500 copies/reaction=62,500 copies/mL to 2 copies/reaction=125 copies/mL) of purified SARS-CoV2 RNA. The purified SARS-CoV2 RNA was diluted in sterile water from 500, 250, 100, 50, 25, 10, 5 and 2 copies/reaction. NTC (No Template Control) and External extraction controls were also used. The PCR parameters were as follows:

    • Cycling conditions: 35, 40, 45
    • RT-PCR Program: 45° C., 45 min
    • PCR Program:


















Initial denature
95° C. 2 min



Cycling
95° C.-30 sec; 55° C.-30 sec; 68°C.-30 sec



Final extension
68° C.-5 min











FIGS. 18A and 18B show the results of this optimization for the Asymmetric One-Step RT-PCR reaction applied to SARS-CoV-2 in 12-well microarrays for 40 PCR cycles and primer ratios of 4.1 and 8:1 respectively. Both ratios displayed a dropout at 35 and 45 cycles but performed consistently and robustly at 40 cycles. Based on these results it is concluded that an 4:1 primer ratio at 40 cycles provides the strongest signal over the range of concentrations tested. The LLoD is between 5 copies/reaction and 10 copies/reaction.


In conclusion. Asymmetric One-Step RT-PCR provides a slightly higher LLoD compared with the 2-step tandem RT-PCR (Asymmetric One-Step RT-PCR 5-10 copies/reaction=1250-625 copies/mL versus tandem RT-PCR 2 copies/reaction=125 copies/mL).


Optimization 2


Materials:






    • 1. LLoD samples: Negative nasopharyngeal swab/VTM (Boca Biolistics) spiked with 25 copies/reaction (62.5 copies/ml) of purified SARS-CoV2 RNA (ATCC, NR-52285).

    • 2. Clinical samples Positive and negative nasopharyngeal swab samples (Boca Biolistics).

    • 3. DETECTX-RV kit.

    • 4. 12-well glass slides—99030002 print series.

    • 5. Labeling primer





Using the same sample as used for the analysis shown in Example 11 and Table 13, a formal LLoD was obtained for the Asymmetric One-Step RT-PCR (Tables 15 and 16), which was determined to be relatively superior to that discussed in the previous section (Example 12, ‘Optimization 1’). The data in Tables 15 and 16 are identical within experimental accuracy to that observed using the 2-Step (RT-PCR+PCR) reaction.


Furthermore, data obtained for clinical sensitivity and specificity analysis using 30 Positive and 30 negative nasopharyngeal swab samples (Table 17) showed unaltered specificity and negative predictive value (NPV), but a preliminary reduction in sensitivity from 100% to 79% due to a general reduction in hybridization signal strength.


The reduction in signal strength was remedied by the following modifications:

    • i) increasing concentration of input RNA template;
    • ii) increasing primer concentration;
    • iii) employing RNA samples analyzed within 48 hours of extraction


      Optimization 3


      Materials:
    • 1. Clinical samples—Positive nasopharyngeal swab samples (Boca Biolistics).
    • 2. DETECTX-RV kit.
    • 3. 384-well test print—9980001001
    • 4. Labeling primers


Performance of the 384-well DETECTX-RV microarray was performed against a set of 30 positive nasopharyngeal swab samples. This analysis differed from the previous example (Example 12, ‘Optimization 2’) in that. RNA was freshly extracted and used immediately without freeze/thawing or storage, the primer concentration is increased 2-fold to 400 nM. Samples were evaluated based on average and standard deviation signal intensity, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV).


Results:


An improved performance was observed with clinical isolates (Table 18) over the previous optimization described above (‘Optimization 2’). An improvement in clinical sensitivity was observed for all probes (range of clinical sensitivity, 88%-100%). The overall AUGURY readouts however report a specificity of 100% since AUGURY aggregates hybridization data from all three independent loci tests.









TABLE 15







Lowest limit of detection anaysis for Asymmetric One-Step RT-PCR






















(a)
(b)
(c)
(d)

LoD








Standard
True
False
False
True

(copies/






Probe Description
Average
Deviation
Positives
Positives
Negatives
Negatives
LoB
reactioin
Sensitivity
Specificity
PPV
NPV






















62-Negcont-B
2155
370
30
N/A
0
N/A
N/A
25
100
N/A
N/A
N/A


SARS.COV2-N1-pub
32556
9721
30
N/A
0
N/A
N/A
25
100
N/A
N/A
N/A


SARS.COV2-N2-pub
48152
119443
30
N/A
1
N/A
N/A
25
97
N/A
N/A
N/A


SARS.COV2-N3-pub
30106
8777
30
N/A
0
N/A
N/A
25
100
N/A
N/A
N/A


SARS.COV2-N1-RE1.1
14887
7673
30
N/A
0
N/A
N/A
25
100
N/A
N/A
N/A


SARS.COV2-N2-RE1.3
38222
12691
30
N/A
1
N/A
N/A
25
97
N/A
N/A
N/A


SARS.COV2-N2-RE1.4
52709
11996
30
N/A
0
N/A
N/A
25
100
N/A
N/A
N/A


SARS.COV2-N1-RE1.1
14290
7419
30
N/A
1
N/A
N/A
25
97
N/A
N/A
N/A


RNAse.P.Probe-pub1.1
6224
6480
30
N/A
0
N/A
N/A
25
100
N/A
N/A
N/A
















TABLE 16







Lowest limit of detection analysis for Asymmetric One-Step RT-PCR






















(a)
(b)
(c)
(d)

LoD








Standard
True
False
False
True

(copies/






Probe Description
Average
Deviation
Positives
Positives
Negatives
Negatives
LoB
reaction
Sensitivity
Specificity
PPV
NPV






















62-Negcont-B
2040
243
30
N/A
0
N/A
N/A
25
100
N/A
N/A
N/A


SARS.COV2-N1-pub
42768
8284
30
N/A
0
N/A
N/A
25
100
N/A
N/A
N/A


SARS.COV2-N2-pub
38869
10563
30
N/A
1
N/A
N/A
25
97
N/A
N/A
N/A


SARS.COV2-N3-pub
38788
6433
30
N/A
0
N/A
N/A
25
100
N/A
N/A
N/A


SARS.COV2-N1-RE1.1
27733
10172
30
N/A
1
N/A
N/A
25
97
N/A
N/A
N/A


SARS.COV2-N2-RE1.3
30135
12727
30
N/A
1
N/A
N/A
25
97
N/A
N/A
N/A


SARS.COV2-N2-RE1.4
46156
11074
30
N/A
1
N/A
N/A
25
97
N/A
N/A
N/A


SARS.COV2-N1-RE1.1
14349
4334
30
N/A
1
N/A
N/A
25
97
N/A
N/A
N/A


RNAse.P.Probe-pub1.1
3684
3395
30
N/A
0
N/A
N/A
25
100
N/A
N/A
N/A
















TABLE 17







Clinical sensitivity and specificity analysis for Asymmetric One-Step RT-PCR














Limit
Limit







of
of







blank
detection







(LoB)
(LoD)
Sensitivity
Specificity
PPV
NPV
















62-Negcont-B
2455
N/A
100
100
100
100


SARS.COV2-N1-pub
2372
N/A
79
100
100
79


SARS.COV2-N2-pub
2835
N/A
79
100
100
79


SARS.COV2-N3-pub
2293
N/A
79
100
100
79


SARS.COV2-N1-RE1.1
2184
N/A
79
100
100
79


SARS.COV2-N2-RE1.3
2102
N/A
79
97
97
79


SARS.COV2-N2-RE1.4
4941
N/A
79
100
100
79


SARS.COV2-N3-RE1.1
605
N/A
79
100
100
79


RNAse.P.Probe-pub1.1
40038
N/A
100
100
100
100
















TABLE 18







Analysis of clinical nasopharyngeal swab sampes on a DETECTX-RV microarray using Asymmetric One-Step RT-PCR































7
8






Position


1
2
3
4


influenza
influenza
9
10




on
* 384
* 384
CoV2
SARS
MERS
CoV2
5
6
A
B
influenza
influenza
No



R&D
array
array
IDT
IDT
IDT
gRNA
(D)614gene
(D)614gene
gene
gene
A
B
template


Probe Name
array
(current)
(next)
plasmid
plasmid
plasmid
(D)
fragment
fragment
fragment
fragment
gRNA
gRNA
control
























Negative Control probe
1
*
*
1421
1254
921
886
1726
2312
1259
1009
1325
1206
2360


SARS.COV2-N1-RE1.1
2
*
*
36815
1231
95
54332
225
644
169
60
295
413
758


SARS.COV2-N2-RE1.3
3
*
*
38270
1198
1448
47713
939
1517
907
955
1139
1410
1729


SARS.COV2-N2-RE1.4
4
*
*
62149
2410
2017
61697
1875
2013
2580
2423
2276
1904
3571


SARS.COV2-N3-RE1.1
5
*
*
60538
48906
3721
61693
3523
3867
3254
3661
4126
3819
1814


RNAse.P.Probe
6
*
*
2080
3282
2407
2139
1452
2023
2185
2803
1409
2434
1432


InfA.7.univ-pubRev
7
*
*
−62
−5
138
5
−70
670
47983
362
36700
772
−170


InfB.8.univ-pub
8
*
8
−286
5
−11
−333
−191
25
543
62289
745
57508
−194


Universal D + G sense probe (1.1)
13

*
779
647
377
41182
61839
62125
575
629
561
456
1288


614D sense probe (1.4)
16

*
1841
636
853
36175
61651
10531
680
622
430
728
1188


614D sense probe (1.1)
11
*

552
176
195
13969
45654
1378
613
518
1155
2019
849


614D sense probe (1.2)
14


1298
342
285
6149
37398
2280
245
−2
−296
−36
695


614D sense probe (1.3)
15


840
630
712
4435
32101
1380
804
679
1264
516
1186


614G sense probe (1.4)
19

*
789
736
822
1346
11304
59019
916
1048
587
1466
1317


614G sense probe (1.1)
17


1351
903
955
1736
7397
47967
968
1257
1447
984
1171


614G sense probe (1.2)
12
*

1002
117
139
240
3048
36606
661
538
2008
480
393


614G sense probe (1.3)
18


1631
1500
1487
2268
4681
17963
1745
1856
1142
1350
2036


Universal D + G antisense probe (1.1)
36


246
1538
1338
2529
1886
2072
323
302
1237
869
186


614D antisense probe (1.4)
20


506
241
477
1367
274
585
355
682
479
2132
977


614D antisense probe (1.1)
9
*

752
541
496
696
280
278
743
529
746
1828
913


614D antisense probe (1.2)
37


706
726
964
633
932
1156
916
299
221
326
1254


614D antisense probe (1.3)
38


1370
1257
1177
1241
1367
2066
1274
1053
659
750
2263


614G antisense probe (1.4)
21


1169
1131
821
691
635
976
1051
606
1230
345
1235


614G antisense probe (1.1)
10
*

1264
1514
1472
1256
911
1359
1288
954
1429
1025
1527


614G antisense probe (1.2)
39


1330
1162
1387
1425
1231
1738
1353
1043
889
826
2180


614G antisense probe (1.3)
40


2309
2843
3013
2680
2615
2804
3015
2427
9517
4717
5021


SARS.CoV2-N2-RE1.5



39160
548
1996
48636
89
432
1006
865
2369
2645
1039


SARS.CoV2-N2-RE1.6



62149
2156
4407
61697
2610
3024
2530
2862
2456
2631
2057


SARS.CoV1-N2-RE1.5



433
45995
161
782
−56
121
386
372
2592
706
116


SARS.CoV1-N2-RE1.6



114
48560
95
79
805
2108
479
−170
338
266
751


hCoV19/PANG1-N2-RE1.2



9921
379
628
13736
360
872
402
162
5
164
1236


hCoV19/PANG1-N2-RE1.4



689
795
687
1268
1104
479
677
450
771
391
1242


hCoV19/PANG2-N2-RE1.2



2729
869
934
3829
918
1525
985
890
467
685
1928


hCoV19/PANG2-N2-RE1.4



2167
16061
2824
4880
2485
4792
2232
9856
2885
2613
3893


BAT2.CoV-N2-RE1.2



4368
1955
2137
7769
1697
2115
2164
1938
2779
2343
2614


BAT2.CoV−N2-RE1.4



704
825
570
994
238
730
129
323
274
803
864


SARS-rel.CoV-N2−RE1.2



695
463
703
414
644
762
818
504
604
1121
1011


SARS-relCoV-N2:RE1.4



1271
386
640
2313
406
538
794
589
878
1588
623


hCoV19/BATYUN-N2-RE1.2



2243
1161
1729
3706
1131
1202
1353
1294
1973
1564
1447


hCoV19/BATYUN-N2-RE1.5



1697
946
1407
1540
718
1069
847
669
1643
1255
1131


RNAse.P.Probe-pub1.3



62149
61822
61921
61697
61839
62125
62099
62388
61165
61732
62625


RNAse.P.Probe-RE1.4



62070
61822
61921
61578
61837
62125
62011
62361
61120
61602
62656


RNAse.P.Probe-pub2.1



1204
2380
3812
1626
1394
1551
1304
1726
5618
6899
903


RNAse.P.Probe-RE2.2



−261
−620
−614
−676
337
−164
−703
−161
−1094
−530
−41


RdRP_Ber_P2_CoV2



−123
−287
−131
−68
−48
−106
−212
−227
−811
−101
−42


RdRP_P2_CoV2_RE1.1



−1134
−1223
−1059
−1130
−1183
−1077
−1126
−964
−1842
−1067
−1008


RdRP_P2_PAN_RE1.1



1151
729
1259
1334
876
1145
1259
971
686
1446
862


E_Sarb_Pan_RE1.2



2817
5010
3941
3161
3546
3840
3165
2743
7209
3221
4507


B2M_RE1.1



746
758
1017
946
714
1707
1080
1442
776
1159
974


B2M_RE2.1



302
−144
−27
−5
−84
−13
112
480
−135
175
162










Optimization 4


Materials:
    • 1. LLoD samples: Freshly collected positive and negative nasopharyngeal swab samples (TriCore) spiked with 25 copies/400 μl reaction (62.5 copies/ml) of purified SARS-CoV2 RNA.
    • 2. Clinical samples: Freshly collected positive and negative nasopharyngeal swab samples (TriCore).
    • 3. DETECTX-RV kit.
    • 4. 96-well glass microarray print series—9903003 plates
    • 5. Labeling primer


Thirty positive and 30 negative samples were used for LLoD analysis. Freshly prepared and negative NP-VTM samples from TriCore (New Mexico) samples doped with purified. SARS-CoV-2 RNA standard were used. All 60 NP-VTM samples were analyzed using the 4:1 asymmetric PCR primer ratio (at 2× higher concentration). in the Promega AccessQuick RT-PCR system. Each hybridization probe was analyzed individually to yield average and standard deviation of signal intensity (RFU), sensitivity, specificity, PPV and NPV. Tables 18 and 19 summarizes the results of the LLoD and the Clinical Sensitivity/Specificity analysis respectively.


The LLoD analysis (Tables 19 and 20) was found to be identical within experimental accuracy to the Asymmetric One-Step RT-PCR optimization obtain earlier ((‘Optimization 3’) as well as the 2-step RT-PCR reaction discussed above. Thus, these data confirm what was previously seen in 12 well slides, namely that the LLoD obtained with the Asymmetric One-Step RT-PCR protocol is identical, within experimental accuracy to that obtained via the Asymmetric, Tandem 2-Step RT-PCR reaction profile and is not affected by transition from 12 well to 96-well processing.


Analysis of the full set of 30+ and 30− TriCore samples, each previously analyzed via an industry standard Roche predicate q-rt-PCR assay (Tables 21 and 22) yielded clinical sensitivity of 100% for both the Asymmetric One-Step RT-PCR and Asymmetric Two Step RT-PCR methods, for the full set of 30 positive and 30 negative samples.


Clinical specificity at the local probe level on the other hand were not 100%, being about 94% for the Asymmetric One-Step RT-PCR method and 100% for the 2-Step RT-PCR method. Thus, the 2-Step method detected 3 false positives and the Asymmetric One-Step RT-PCR detected 2 false positives in the same set of 30 TriCore Negatives. This discordance was resolved by third party sequencing and it was shown that the positives detected by microarray analysis did in fact contain SARS-CoV-2, which had not been detected by the predicate Q-RTPCR assay.









TABLE 19







Analysis of clinical nasopharyngeal swab samples on a DETECTX-RV microarray using Asymmetric-Step One RT-PCR

































Average















signals











CoV2



from









PS2
PS5
gRNA
Neg1
Neg4
NTC
clinical


Clinical Samples
PS2
PS5
gRNA
Neg1
Neg4
NTC
(infA,B)
(infA,B)
(infA, B)
(infA, B)
(infA, B)
(infA, B)
sample























62-Negcont-B
1601
962
1028
2101
1603
1110
1825
1853
938
1458
1058
1245
1640


SARS.COV2-N1-RE1.1
31578
29980
61449
−5
−259
1407
12105
14927
61362
−11
−50
170
32850


SARS.COV2-N2-RE1.3
17229
16374
49596
960
661
2050
12280
11392
50163
628
871
1994
38570


SARS.COV2-N2-RE1.4
47605
46614
61603
1922
2346
2893
38540
39854
61479
1574
2286
3895
43670


SARS.COV2-N3-RE1.1
60036
49602
61602
4327
4941
2141
43957
42055
61498
3921
3351
4090
59723


RNAse.P.Probe-pub1.1
3307
3890
1702
4561
4585
2454
2565
2643
2451
2985
3082
3162



InfA.7.univ-pubRev
422
1257
369
443
2033
552
39579
40285
20903
38128
22691
42846



InfB.8.univ-pub
102
953
112
34
1437
414
45076
39136
38437
39559
35394
40884



614U-SE-S1-RE1.1 *
14908
13172
41545
335
425
461
6546
6309
38526
316
229
321



614D-SE-S1-RE1.4 ¶
833
785
37215
336
489
410
833
547
34632
361
922
1103



614G-SE-S1-RE1.4 §
5728
4792
1762
920
803
559
2815
3218
1584
493
1104
835



SARS.CoV2-N2−RE1.5
20132
17893
54453
370
797
637
13826
14895
53076
429
2129
1494



SARS.CoV2-N2−RE1.6
44125
44266
61603
1466
2298
3423
38153
39052
61498
1748
2830
2944



SARS.CoV1-N2−RE1.5
656
888
820
1026
1634
564
1224
7027
936
1730
2996
1261



SARS.CoV1-N2−RE1.6
821
1239
35
948
1678
655
1106
1400
−151
1120
1936
469





* Spike = D + G,


¶ D Variant = Wuhan like,


§ G Variant = European like













TABLE 20







Limit of detection analysis for Asymmetric One-Step


RT-PCR using 12-well array format and a 4:1 primer mix.






















(a)
(b)
(c)
(d)

LoD








Standard
True
False
False
True

copies/






Proper Description
Average
Deviation
Positives
Positives
Negatives
Negatives
LoB
reaction
Sensitivity
Specificity
PPV
NPV






















62-Negcont-B
2155
370
30
N/A
0
N/A
N/A
25
100.0
N/A
N/A
N/A


SARS.COV2-N1-pub
32556
9721
30
N/A
0
N/A
N/A
25
100.0
N/A
N/A
N/A


SARS.COV2-N2-pub
48152
11944
30
N/A
1
N/A
N/A
25
96.8
N/A
N/A
N/A


SARS.COV2-N3-pub
30106
8777
30
N/A
0
N/A
N/A
25
100.0
N/A
N/A
N/A


SARS.COV2-N1-RE1.1
14887
7673
30
N/A
0
N/A
N/A
25
100.0
N/A
N/A
N/A


SARS.COV2-N2-RE1.3
38222
12691
30
N/A
1
N/A
N/A
25
96.8
N/A
N/A
N/A


SARS.COV2-N2-RE1.4
52709
11996
30
N/A
0
N/A
N/A
25
100.0
N/A
N/A
N/A


SARS.COV2-N1-RE1.1
14290
7419
30
N/A
1
N/A
N/A
25
96.8
N/A
N/A
N/A


RNAse.P.Probe-pub1.1
6224
6480
30
N/A
0
N/A
N/A
25
100.0
N/A
N/A
N/A
















TABLE 21







Clinical Sensitivity and Specificity Analysis for Asymmetric One-Step RT-PCR























Stan-

Stan-














dard

dard













Aver-
Devi-
Aver-
Devi-
(a)
(b)
(c)
(d)









age
ation
age
ation
True
False
False
True









Posi-
Posi
Nega-
Nega-
Posi-
Posi-
Nega-
Nega-


Sensi-
Speci-




Probe Description
tives
tives
tives
tives
tive
tives
tive
tive
LoB
LoD
tivity
ficity
PPV
NPV
























62-NegCont-B
1581
1477
1195
620
30
0
0
30
N/A
N/A
100
100
100
100


SARS.COV2-N1-RE1.1
49470
15630
2111
5626
30
2
1
30
N/A
N/A
97
94
94
97


SARS.COV2-N2-RE1.3
50383
16691
2306
4298
30
2
2
30
N/A
N/A
94
94
94
94


SARS.COV2-N2-RE1.4
55425
11305
18258
9984
30
0
0
30
N/A
N/A
100
100
100
100


SARS.COV2-N3-RE1.1
53144
14343
4403
8808
30
2
0
30
N/A
N/A
100
94
94
100


RNAse.P.Probe-pub1.1
6009
7451
18237
13677
30
0
0
30
N/A
N/A
100
100
100
100


Overall Results
N/A
N/A
N/A
N/A
30
2
0
30
N/A
N/A
100
94
94
100
















TABLE 22







Clinical Sensitivity and Specificity Analysis for Standard DETECTX-RV (RT-PCR + Labeling PCR)























Stan-

Stan-














dard

dard













Aver-
Devi-
Aver-
Devi-
(a)
(b)
(c)
(d)









age
ation
age
ation
True
False
False
True









Posi-
Posi
Nega-
Nega-
Posi-
Posi-
Nega-
Nega-


Sensi-
Speci-




Probe Description
tives
tives
tives
tives
tive
tives
tive
tive
LoB
LoD
tivity
ficity
PPV
NPV
























62-Negcont-B
1626
426
2196
1928
30
0
0
30
N/A
N/A
100
100
100
100


SARS.COV2-N1-RE1.1
57318
5808
4316
15424
30
3
0
30
N/A
N/A
100
91
91
100


SARS.COV2-N2-RE1.3
58079
3173
7929
15774
30
4
0
30
N/A
N/A
100
88
88
100


SARS.COV2-N2-RE1.4
59119
469
10853
20248
30
5
0
30
N/A
N/A
100
86
86
100


SARS.COV2-N3-RE1.1
59354
473
12372
23104
30
6
0
30
N/A
N/A
100
83
83
100


RNAse.P.Probe-pub1.1
59103
461
60174
698
30
0
0
30
N/A
N/A
100
100
100
100


Overall Results
N/A
N/A
N/A
N/A
30
4
0
30
N/A
N/A
100
88
88
100









A detailed analysis of individual probe Clinical Sensitivity revealed that 2 probes ([N1, 1.1], [N2, 1.3]) have generated 1 and 2 false negatives respectively. These 3 rare events did not affect the Overall AUGURY sensitivity, which remained at 100% because of its use of multiple probes to make a call.


Conclusions


Asymmetric One-Step RT-PCR performance with Clinical Isolates in the 96-well format has improved significantly over prior optimizations due to use of RNA extracted from fresh samples and 2× increase of Primer Concentration 2×. Sensitivity among all probes tested has yielded an increase in Average N1, N2 and N3 probe Clinical Sensitivity to about 97% (range=94%-100%). However, the aggregated AUGURY readouts obtained provide a 100% Sensitivity, since Augury aggregates hybridization data from all (3) independent loci tests.


Optimization 5


Optimized Clinical Validation of Mini-RV Panel


Materials and Methods:






    • 1. The 12-well Mini-RV Array (R&D Format) was deployed.

    • 2. Testing was performed on fresh clinical isolates (Boca Biolistics) via the Asymmetric One-Step RT-PCR reaction for the entire set of targets (S, N1, N2, N3, P, PanA, PanB) but with a more efficient set of PCR primers for RNAse P

    • 3. Influenza A and Influenza B was tested by use of purified Influenza A or Influenza B gRNA (ATCC reference standards) added to positive or negative clinical isolates for detection using “PanA” and “PanB” probes on the array.

    • 4. Optimized Asymmetric, One-Step RT-PCR was deployed and standard Hybridization/Wash Conditions.

    • 5. Results: Using a small number of clinical isolates (2 positives, 2 negatives) the full panel of probes described in Table 12 (S, N1, N2, N3, PanA, PanB) were used to analyze the product of the Asymmetric, One-Step RT-PCR reaction. To offset low RNase P signals seen in the previous optimization (Tables 18-22), an alternative, higher efficiency RNAse P primer pair was used (SEQ ID: 43 and SEQ ID: 44). Additionally, the RNase-P primer concentration was increased 2× Table 23 shows a summary of the data for the 12-well format.


      Asymmetric One-Step RT-PCR Performance Optimization





Freshly collected NP/VTM samples (TriCore) matched with a complete set of Roche Cobas 6800 Q-RT-PCR Ct thresholds were used. Analysis was performed on 384-well plates using 30 positive and 30 negative clinical isolates in an RNAse P modified multiplex PCR reaction. The data obtained (Table 23) was in good agreement with that obtained for the 96-well format using previous RNAse P primers (Tables 18-22) and further provided a better RNAse P signal than previously observed (Tables 18-22).


Gel Analysis and Sequencing


Four sequencing primers with M13 tags were created and the amplicons generated using the Asymmetric One-Step RT-PCR method (Asymmetric One-Step RT-PCR) were analyzed by gel electrophoresis. FIGS. 19A and 19B show that discordant samples each produce an amplicon fragment of the correct size associated with the expected SARS-CoV2 amplification. N1, N2, N3 refer to microarray probes specific the N1, N2, and N3 sites in SARS-CoV-2 and P refers to probe specific for human RNAse P, which are used as an internal positive control.


Sequence Analysis of Discordant Clinical Samples.


TriCore samples identified as “Negative” by Cobas but identified as “Positive” on multiple repeats of the DETECTX-RV assay were sequenced (third party sequencing, University of Arizona). The sequencing data shown in FIG. 20 for a representative PATHO-003 sample (N1-M13F) was found to agree with the gel data. This confirmed that the discordant samples each contain measurable SARs-CoV2 infection (loci N1 & N2).


Improved Sequence Analysis of Discordant Clinical Samples.


Clinical samples (30 positive/30 negative NP/VTM, TriCore) tested using the Cobas 6800 platform were used as clinical reference samples to evaluate sensitivity and specificity of the DETECTX-RV assay using Two-Step Tandem and Asymmetric One-Step RT-PCR reaction methods. To confirm accuracy of the DETECTX-RV “Positive” readouts, Sanger sequencing was performed within the N Region, on all 6 discordant samples and one of the many ‘Positive’ samples, which had been identified as “Positive” by both COBAS and DETECTX-RV. The results shown in Table 24 are in agreement with DETECTX-RV—all 6 discordant samples were identified by Sanger sequencing as containing measurable SARS-CoV-2 RNA. Sequence heterogeneity (N) in several of the negative samples was also observed.









TABLE 23







Asymmetric One-Step RT-PCR of Full Mini-RV Array (S, N1, N2, N3, P, PanA, PanB)


for Clinical Isolates on 12-well slides using higher effency RNAse P primers


(SEQ ID: 43 and SEQ ID: 44) as internal control.




















PS-1
PS-1
CoV2


Neg-1
Neg-1




PS-1
PS-2
(InfA)
(InfB)
gRNA
Neg-1
Neg-2
(InfA)
(InfB)
NTC




















62-Negcont-B
895
1332
826
1241
777
1658
1763
1441
1231
1368


SARS.COV2-N1-RE1.1
61824
48746
51658
61633
36639
751
1164
224
166
3336


SARS.COV2-N2-RE1.3
50873
38694
39954
48652
17141
598
1102
566
873
589


SARS.COV2-N2-RE1.4
61857
62211
62104
61720
37147
883
738
879
1068
1012


SARS.COV2-N3-RE1.1
61807
56525
61989
61689
54650
2668
1979
2941
3422
2596


RNAse.P.Probe-pub1.1
53845
39257
38696
44316
2148
52419
40222
44258
50423
1471


infA.7.univ-pubRev
132
−176
34385
32
−38
481
64
49966
997
1


infB.8.univ-pub
−171
−184
2231
−290
−403
−78
−312
209
13251
−42


614U-SE-S1-RE1.1
61838
43200
48452
58826
13240
729
582
335
350
714


614D-SE-S1-RE1.4
13956
4858
7082
12120
9885
33
79
809
306
209


614G-SE-S1-RE1.4
49820
35581
39167
44014
1467
734
653
752
549
568
















TABLE 24







SARS-CoV-2 Sequencing of ″Discordant″ Clinical NP/VTM Samples
















Discordant 








and








SARS-CoV-2






SEQ ID

Sequences
Percent
One
Two


Sample
Number
Primer Alignment
Aligned
Alignement
Step
Step





Discordant-
SEQ ID: 98
TTCCNNCGGNAGGCCNGCCATTGGGC
Discordant-1
62%
+
+


1

|||*  ||| |*|*| **|||| |||
SARS-CoV-2







TTCTT CGGAATGTCGCGCATT GGC







SEQ ID: 99
-AAACNTGGACNNNNGCGTGNTTTCC
Discordant-1







 |||| |||*|    || || |||||
SARS-CoV-2







-AAACATGGTCATA GC TG TTTCCT









Discordant-
SEQ ID: 100
TTCTTCGGGAGGGCGNGCATTGGGCN
Discordant-2
84%
-
+


2

||||||||*|*|*|| ||||| |||
SARS-CoV-2







TTCTTCGGAATGTCGCGCATT GGCA







SEQ ID: 99
-AACATGGGTCATAGCTGTTTCCT
Discordant-2







||||||| ||||||||||||||||
SARS-CoV-2







-AACATG GTCATAGCTGTTTCCT









Discordant-
SEQ ID: 101
TTCTTCGGGAANGTCGCGGCATNGGC
Discordant-3
84%
-
+


3

|||||||| || |||||| ||| |||
SARS-CoV-2







TTCTTCGG AATGTCGCG CATTGGC







SEQ ID: 99
-AAACATGGGGTCATAGGCTGNTTTCCT
Discordant-3







||||||||  ||||||| ||| ||||||
SARS-CoV-2







-AAACATG  GTCATAG CTG TTTCCT









Discordant-
SEQ ID: 102
TTCTTCGGGAAGGTCGNGGCATTGGC
Discordant-4
76%
-
+


4

|||||||| ||  ||| | |||||||
SARS-CoV-2







TTCTTCGG AATGTCGCG CATTGGC







SEQ ID: 99
-AAACATGGGNTCATAGGCNTGATTTCCT
Discordant-4







||||||||   |||||| | |  ||||||
SARS-CoV-2







-AAACATG  GTCATAG CTG  TTTCCT









Discordant-
SEQ ID: 103
TTCTTCGGGAANGTCGCGCATNGGCA
Discordant-5
75%
+
+


5

|||||||| || ||||||||| ||||
SARS-CoV-2







TTCTTCGG AATGTCGCGCATTGGCA







SEQ ID: 99
-AACANGGTCATAGCTGGTTTCCT
Discordant-5







||||| ||||||||||| ||||||
SARS-CoV-2







-AACATGGTCATAGCTG TTTCCT









Discordant-
SEQ ID: 104
TTCTTCGGGAAGGTCGCGGCATTGGC
Discordant-6
97%
-
Return


6

|||||||| || ||||| ||||||||
SARS-CoV-2







TTCTTCGG AATGTCGC GCATTGGC







SEQ ID: 99
-AAACATGGATCATAGTNTGNTTTCCT
Discordant-6







||||||||| ||||||  || ||||||
SARS-CoV-2







-AAACATGG TCATAG CTG TTTCCT









SARS-CoV-2
SEQ ID: 105
TTCTTCGGAATGTCGCGCATTGGCAA
Positive
99%
+
+


Positive

||||||||||||||||||||||||||
Control





Control

TTCTTCGGAATGTCGCGCATTGGCAA
SARS-CoV-2






SEQ ID: 99
-ACATGGTCATAGCNTGTTTCCT
Positive







|||||||||||||| ||||||||
Control







-ACATGGTCATAGC TGTTTCCT
SARS-CoV-2













99002-M13R (N2-Reverse) Reverse Complement









Example 13

Incorporation of Influenza Probes into the Array


Influenza A & B probes and primers were added to the 12-well array during analysis using the 2-step method. The hybridization data (Table 25) show that the influenza probes and primers may be used as such with no further refinement.


Example 14

Raw Sample Feasibility Testing


Materials:






    • 1. Mouthwash from patients diagnosed with SARS-CoV2

    • 2. Asymmetric One-Step RT-PCR and labelling primers

    • 3. Two-step RT-PCR

    • 4. DETECTX-RV kit

    • 5. Tris-HCl pH 9 with MgCl2 at pH 3, 4, 5, 6, 8 and 10 mM





Reducing the time taken from obtaining the sample to performing the microarray analysis is expected to significantly increase the number of sample that may be processed per day, a factor that is critical during a pandemic. To establish the feasibility of bypassing the RNA isolation step in the method, experiments were performed using clinical mouthwash samples (QuikSal) from patients diagnosed with SARS-CoV2. The data in Table 26 shows the results of analysis in samples where the RNA extraction step was omitted. It was observed that raising the pH to the ordinary PCR range of pH 9.0 and adding Mg2 to coordinate EDTA and citrate in the QuikSal, mouthwash enabled microarray analysis in crude samples with no further RNA purification.


Example 15

Automation and Analysis: 96-Well and 384-Well Plates


RNA Extraction using Zymo Magnetic Beads and RNA loading onto PCR plates for RT-PCR was established using Tecan. Hybridization and Washing Automation for Asymmetric One-Step RT-PCR in 96-well format was completed for the Tecan and a first 96-well plate. It was run through with 20 positive Clinical Isolates (TriCor)+76 negative (water-only) samples. The corresponding 384 well software was also tested with clinical samples using a Tecan code modified for 384-well plate operation, capable of 384-well function with a 96-pipette head.









TABLE 25







Incorporation of influenza Lead primers and probes in the Two-step PCR and hybridization


analysis





Influenza A primer set 1


RT-PCR


Forward Primer SEQ ID: 17 TTTATGGCTAAAGACAAGACCRATCCTG


Reverse Primer SEQ ID: 18 TTTTTAAGGGCATTYTGGACAAAKCGTC


Label-PCR


Forward Primer SEQ ID: 39 TTTCAAGACCRATCCTGTCACCTCTGAC


Reverse Primer SEQ ID: 40 /5CY3/TTTAAGGGCATTYTGGACAAAKCGTCTA





Influenza A primer set 2


RT-PCR


Forward Primer SEQ ID: 17 TTTATGGCTAAAGACAAGACCRATCCTG


Reverse Primer SEQ ID: 40 TTTAAGGGCATTYTGGACAAAKCGTCTA


Label-PCR


Forward Primer SEQ ID: 39 TTTCAAGACCRATCCTGTCACCTCTGAC


Reverse Primer SEQ ID: 81 /5CY3/TTTGGGCATTYTGGACAAAKCGTCTACG





Influenza B primer set 1


RT-PCR


Forward Primer SEQ ID: 19 TTTGGATGAAGAAGATGGCCATCGGATC


Reverse Primer SEQ ID: 20 TTTTCTAATTGTCTCCCTCTTCTGGTGA


Label-PCR


Forward Primer SEQ ID: 82 TTTGGATCCTCAACTCACTCTTCGAGCG


Reverse Primer SEQ ID: 42 /5CY3/TTTTAATCGGTGCTCTTGACCAAATTGG





Influenza B primer set 2


RT-PCR


Forward Primer SEQ ID: 82 TTTGGATCCTCAACTCACTCTTCGAGCG


Reverse Primer SEQ ID: 106 TTTTCCCTCTTCTGGTGATAATCGGTGC


Label-PCR


Forward Primer SEQ ID: 41 TTTGCGTCTCAATGAAGGACATTCAAAG


Reverse Primer SEQ ID: 42 /5CY3/TTTTAATCGGTGCTCTTGACCAAATTGG





















Influenza A
Influenza A
Influenza A
Influenza A
Influenza B
Influenza A
Influenza B
Influenza A




primer set 1
primer set 2
primer set 1
primer set 2
primer set 1
primer set 2
primer set 1
primer set 2













Probe Name
infA Target
No template control
infB Target
No template

















(specificity)
Well 1
Well 2
Well 5
Well 6
Well 9
Well 10
Well 11
Well 12





 1
62-Negcont-B
1807
1714
1727
1429
1679
1359
1406
1211





 2
SARS.COV2-N1-pub
636
693
889
455
534
530
588
493





 3
SARS.COV2-N1-RE1.1
730
750
633
630
859
657
641
640





 4
SARS.COV2-N1-RE1.2
305
185
168
29
160
93
128
103





 5
SARS.COV2-N1-RE1.3
161
290
355
-6
146
60
179
135





 6
SARS.COV2-N2-pub
894
968
976
732
630
399
707
650





 7
SARS.COV2-N2-RE1.1
1112
1300
1150
987
1006
1017
1264
1018





 8
SARS.COV2-N2-RE1.2
724
755
567
482
661
610
590
558





 9
SARS.COV2-N2-RE1.3
1532
1796
1449
1086
1493
1205
1245
1255





10
SARS.CoV1-N2-pbVAR
660
979
1008
640
1118
803
598
551





11
SARS.CoV1-N2-RE1.1
580
521
1157
477
468
560
759
571





12
SARS.CoV1-N2-RE1.2
744
588
1278
749
939
885
869
719





13
SARS.CoV1-N2-RE1.3
1045
915
967
1005
1298
856
1157
1001





14
SARS.COV2-N3-pub
335
168
246
164
248
50
-35
89





15
SARS.COV2-N3-RE1.1
344
313
365
283
374
234
224
269





16
SARS.COV2-N3-RE1.2
-12
15
-26
-56
-70
-13
-98
-22





17
SARS.COV2-N3-RE1.3
204
297
123
207
238
260
284
231





18
RNAse.P.Probe-pub1.1
1128
892
853
714
768
652
814
807





19
RNAse.P.Probe-pub1.2
1013
854
981
891
940
773
863
981





20
InfA.7.univ-Fwd.RE1.1
573
593
553
382
541
220
465
541





21
InfA.7.univ-pubRev
22662
21290
289
284
355
157
292
247





22
InfA.7.univ-RE1.1
38326
35727
331
305
178
378
292
160





23
InfA.7.univ-RE1.3
28211
29917
40
-9
82
184
55
-34





24
InfB.8.univ-pub
70
-26
1097
80
59985
60694
-2
30





25
InfB.8.univ-RE1.1
193
197
214
179
58811
53771
216
285





26
InfB.8.univ-RE1.3
455
434
422
469
22626
16671
494
390





27
H1N1.4.Sel-RE1.1
-39
-56
-29
50
142
-29
8
5





28
H1N1.4.Sel-RE1.3
-45
-18
-39
10
-15
-103
2
-13





29
upE.Lu-RE1.1
713
578
674
819
703
831
754
566





30
upE.Lu-RE1.2
475
410
305
262
250
252
294
227





31
MERS.N2.RE-1.1
297
75
141
174
235
125
355
313





32
MERS.N2.RE-1.2
1092
1067
989
1097
928
604
909
831





33
MERS.N3.pub-1.1
262
397
289
217
189
361
247
220





34
MERS.N3.RE-1.1
1182
1110
1266
801
832
853
972
710





35
62-KEL578t-1.2-A
1038
1105
1056
1064
729
788
820
791





36
62-Duf-67T-SE-6.1b
870
1140
1749
929
881
1223
967
981





37
SARS.CoV1-N2B-RE1.1
355
390
650
432
483
536
964
404





38
SARS.CoV2-lab-pub
-155
-153
-121
-95
-30
-158
-141
-111





39
SARS.CoV2-lab-RE1.1
598
615
536
362
657
580
538
480





40
SARS.CoV2-lab-RE1.3
41
140
83
61
156
144
111
8





41
HCoV.229E.M-RE1.1
809
806
896
786
972
832
997
751





42
HCoV.229E.M-RE1.2
649
545
511
816
675
286
526
300





43
HCoV.HKU1.N-RE1.1
1024
1213
1382
1008
977
792
1003
726





44
HCoV.HKU1.N-RE1.2
-557
-599
-376
-589
-628
-563
-529
-526





45
HCoV.NL63.N-RE1.1
-641
-623
-593
-590
-504
-472
-548
-553





46
HCoV.NL63.N-RE1.2
-551
-618
-531
-590
-602
-527
-569
-559





47
HCoV.OC43.M-RE1.1
-582
-589
-536
-608
-522
-497
-527
575





48
HCoV.OC43.M-RE1.2
-643
-614
-576
-611
-590
-513
-553
-553





49
SARS.CoV1-N1-RE1.2
368
358
333
352
225
222
373
284





50
SARS.CoV1-N1-RE1.3
371
370
411
528
515
415
473
552
















TABLE 26







Asymmetric One-Step RT-PCR and Two-step


RT-PCR analysis in total RNA samples










Slide Number/Type
9903 Series











Extraction Kit/Primer Set
One-Step
Two-Step










Mouthwash Samples
Sample 6











Probe Description
8 mM MgCl2
8 mM MgCl2















62-Negcont-B
3932
1748



SARS.COV2-N1-pub
15307
5763



SARS.COV2-N1-RE1.1
8982
1514



SARS.COV2-N1-RE1.2
1574
424



SARS.COV2-N1-RE1.4
125
16



SARS.COV2-N2-pub
7935
34384



SARS.COV2-N2-RE1.1
3843
5488



SARS.COV2-N2-RE1.2
3334
4791



SARS.COV2-N2-RE1.3
6777
11085



SARS.CoV1-N2-pbVAR
1607
1225



SARS.CoV1-N2-RE1.4
1816
1067



SARS.CoV1-N2-RE1.2
1912
1138



SARS.CoV1-N2-RE1.3
2956
1109



SARS.COV2-N3-pub
22759
25631



SARS.COV2-N3-RE1.1
11702
20475



SARS.COV2-N3-RE1.2
5522
15413



SARS.COV2-N3-RE1.3
5365
8871



RNAse.P.Probe-pub1.1
3847
52902



RNAse.P.Probe-pub1.2
1506
63217



SARS.COV2-N2-RE1.4
11577
39409











Results



FIG. 21 shows one well (C3) from the slide (Tricor, COVID-19 Positive sample), which is statistical identical to all 20 of the COVID-19 wells. Nineteen of the twenty positives were correctly identified AUGURY as COVID positive.


Automation End-to-End Mini-RV 96-Well Format.


Time and Resources Required to Execute the Automation Script:


Approximate time elapsed to process 1×96 well slide

    • i. RNA extraction—4 h 10 min (including 90 min dry time)
    • ii. PCR plate preparation—12.5 min
    • iii. PCR amplification (Asymmetric One-Step RT-PCR)—2 h 40 min
    • iv. Hybridization script—1 h 45 min
    • v. Slide imaging—15 min
    • Total time ˜9 h
    • Tip boxes required to process 1×96 well slide
    • i. RNA extraction—4×200 μl+6.5×1000 μl
    • ii. PCR plate preparation—1×50 μl
    • iii. Hybridization script—0.5×1000 μl+2.5×200 μl+1×50 μl
    • Total tip boxes: 1 ml-7 boxes, 200 μl-6.5 boxes, 50 μl-2 boxes
    • Two full runs were performed with the Tecan EVO using the 96-well format;


Run 1. Comparison of automation versus manual: A series of contrived samples were created using irradiated SARS-CoV2 lysate in VTM. A checkered board pattern was created to evaluate the robotics and the potential for cross-contamination.


Results: The hybridization signals obtained (FIGS. 22A and 22B) were found to be stronger than that observed in FIG. 21. Data obtained using automation (FIG. 22A, well A1, slide 9903003012) was in excellent agreement with the manual method (FIG. 22B, well G1, slide 9903003012).


Run 2. Clinical sample evaluation: Known positive (25 samples) and negative (22 samples) COVID samples from TriCore were employed, including 49 water blanks. A checkered board pattern was created as above to evaluate the robotics and the potential for cross-contamination.


Results: The hybridization signals obtained were found to be stronger than that observed in FIG. 21. Data obtained using automation was in excellent agreement with the manual method. AUGURY correctly identified all 25 COVID positive samples and 21 of the COVID negative samples


Example 16

In Silico Analysis of Human Respiratory Syncytial Virus (HRSV) Feasibility


Adding a RSV test to the previously discussed content (SARS-CoV2, Clade Variant and Influenza A, B) was considered be valuable in this analysis. To test this, a fast-track analysis for implementing a HRSV test with the SARS-CoV2 content was performed. Assay Design. An established Q-RT-PCR assays for HRSV (Table 27) was modified using PDx design principles (Table 28) into a PDx format comprising a single RT-PCR reaction and 3 probes (Pan HRSV probe, Subfamily A probe, Subfamily B Probe).


Incusivity analysis Table 29 shows an inclusivity analysis of the primers and probes for the Hu et al and the PDx assays using the following sequences—HRSV (taxid:11250), HRSV-A (taxid:208893) and HRSV-B (taxid:208895). The analysis revealed that PDx probes have adequate Inclusivity and well suited to distinguish HRSV A subtype from HRSV B subtypes.









TABLE 27





A well-referened RT-PCR assay to detect HRSV subtypes A and B
















NC_038235.1.HRSV.A
              A-FP                     A-Probe


(SEQ ID: 107)
    ------------------------->










GATGGCTCTTAGCAAAGTCAAGTTGAATGATACACTCAACAAAGATCAACTTCTGTCATC
1198





NC-001781.1.HRSV.B
              B-FP                     B-Probe



(SEQ ID: 108)
    --------------------->




GATGGCTCTTAGCAAAGTCAAGTTAAATGATACATTAAATAAGGATCAGCTGCTGTCATC
1198



************************ *************** *  *** *** ********






NC_038235.1.HRSV.A

CAGCAAATACACCATCCAACGGAGCACAGGAGATAGTATTGATACTCCTAATTATGATGT

1258


(SEQ ID: 109)
       <-----------------              




              A-RP






NC_001781.1.HRSV.B

CAGCAAATACACTATTCAACGTAGTACAGGAGATAATATTGACACTCCCAATTATGATGT

1258


(SEQ ID: 110)
************ *** ********** ********* **** ********** ******




              <----------------------------            




              B-RP





Hu, A., Colella, M., Tam, J.S., Rappaport, R., Cheng, S., 2003, Journal of Clinical Microbiology 41, 149-154.













TABLE 28





PDX redesign with common PCR primers for HRSV subtypes A and B and probes centered over


the mismatches
















NC_038235.1.HRSV.A
        A + B-Forward Primer (PDX)                   A-Probe


(SEQ ID: 107)
    ------------------------->










GATGGCTCTTAGCAAAGTCAAGTTGAATGATACACTCAACAAAGATCAACTTCTGTCATC
1198





NC-001781.1.HRSV.B
                                        B-Probe



(SEQ ID: 108)
GATGGCTCTTAGCAAAGTCAAGTTAAATGATACATTAAATAAGGATCAGCTGCTGTCATC
1198



************************ *************** *  *** *** ********






NC_038235.1.HRSV.A
                                                    <-------
1258


(SEQ ID: 109)
                                A + B-Reverse Primer (PDX) 




CAGCAAATACACCATCCAACGGAGCACAGGAGATAGTATTGATACTCCTAATTATGATGT






NC_001781.1.HRSV.B
CAGCAAATACACTATTCAACGTAGTACAGGAGATAATATTGACACTCCCAATTATGATGT
1258


(SEQ ID: 110)
************ *** ********** ********* **** ********** ******
















TABLE 29







Inclusivity analysis of Hu et al. vs PDx Probes















Number of sequences with



Primer/


100% complementarity













Assay
Probe
SEQ ID NO
Sequence (5′ to 3′)
HRSV
HRSV-A
HRSV-B





Hu et al,
A-FP
SEQ ID: 111
GCTCTTAGCAAAGTCAAGTTGAATGA
1971
331
196


(2003)



(2258)1
(530)1



A (N gene)
A-RP
SEQ ID: 112
TGCTCCGTTGGATGGTGTATT
 536
262
NSC






(1403)2
(543)2




A-probe
SEQ ID: 113
ACACTCAACAAAGATCAACTTCTGTCATCCAGC
 449
247
NSC






(1408)3
(531)3






Hu et al.
B-FP
SEQ ID: 114
GATGGCTCTTAGCAAAGTCAAGTTAA
 102
  1
 25


(2003)



(1106)4

(234)4


B (N gene)
B-RP
SEQ ID: 115
TGTCAATATTATCTCCTGTACTACGTTGAA
1075
NSC
265



B-probe
SEQ ID: 116
TGATACATTAAATAAGGATCAGCTGCTGTCATCCA
 904
NSC
226





PathogenDx
A + B FP
SEQ ID: 117
AAARATGGCTCTTAGCAAAGTCAAG
2429
530
233


proposed
A + B RP
SEQ ID: 118
CGTTGRATRGTRTATTTGCTGGATG
2439
536
266


A + B (N gene)
A-probe
SEQ ID: 119
ACACTCAACAAAGATCAACTTCT
1406
536
NSC



B-probe
SEQ ID: 120
ACATTAAATAAGGATCAGCTGCT
 910
NSC
229





NSC-No sgnfficant complementarity



1Hits increase when removing 3′TGA




2Hits increase changing 3′ TGTATT to TRTATT




3Hits increase when 1 mismatch allowed




4Hits increase when 3′-TTAA removed








Exclusivity. Table 30 shows that for both the Hu et al and the PDx assays using the following sequences—Homo sapiens (taxid:9606), HCoV229E (taxid:11137), HCoV-OC43 (taxid:31631), HCoV-HKU1 (taxid:290028), HCoV-NL63 (taxid:277944), MERS-CoV (taxid:1335626). Human metapneumovirus (taxid:162145), Human adenovirus sp. (taxid:1907210), HPIV-1 (taxid:12730), HPIV-2 (taxid:1979160), HPIV4 (taxid:1979161), Influenza A virus (taxid:11320), Influenza B virus (taxid:11520), Enterovirus (taxid:12059), Human parainfluenza virus 4b (taxid:11226), Streptococcus pneumoniae (taxid:1313), HRSV (taxid:11250), Rhinovirus (taxid:12059), Chlamydia pneumoniae (taxid:83558), Haemophilus virus HP2 (taxid:157239), Legionella pneumophila (taxid:446). Mycobacterium tuberculosis (taxid:1773), Streptococcus pyogenes (taxid:1314), Bordetella pertussis (taxid:520), Mycoplasma pneumoniae (taxid:2104). Pneumocystis jirovecii (taxid:42068), Candida albicans (taxid:5476), Pseudomonas aeruginosa (taxid:287), Staphylococcus epidermidis (taxid:1282), Streptococcus salivarius (taxid:1304), HPIV-3 (taxid:11216); and exclude: HCoV-SARS (taxid:694009), SARS-CoV2 (taxid:2697049).


As seen from Table 30, there is negligible experimental cross reaction with human DNA/RNA or any of the standard panel of respiratory pathogens required for analysis of Exclusivity in SARS-CoV-2 testing.


Feasibility. The calculations obtained suggests feasibility of implementing the HRSV assay capacity to the present 12 probe Mini-RV assay.


Example 17

Automation of 96-Well and 384-Well Plates


A hybridization script on the Tecan was upgraded to reduce reagent waste. A new hybridization script was tested and found to provide results equivalent to non-automated two-step RT-PCR (with labeling) as shown in Table 31. The script was edited for compatibility with plate processing ancillary equipment and the protocol used to run the Zymo kits.


Example 18

Asymmetric One-Step RT-PCR QC Test Development & Validation


A QC/QA test protocol was developed (for [S, N1, N2, N3, P, PanA, PanB). Multiple Tricore samples were pooled to generate a stock solution of purified clinically derived RNA for QC/QA. Table 32 summarizes the results from this analysis.









TABLE 30







Exclusivity analysis of Primers &P robes for Hu et al. vs PDx1













Primer/


Homo



Assay
Probe

seq 5′ to 3
sapiens
Non-human





Hu et al.
A-FP
SEQ ID: 111
GCTCTTAGCAAAGTCAAGTTGAATGA
69%

Streptococcus



(2003)
A-RP
SEQ ID: 112
TGCTCCGTTGGATGGTGTATT
90%

Pseudomonas



A (N gene)
A-probe
SEQ ID: 113
ACACTCAACAAAGATCAACTTCTGTCATCCAGC







Hu et al.
B-FP
SEQ ID: 114
GATGGCTCTTAGCAAAGTCAAGTTAA
69%

Streptococcus



(2003)
B-RP
SEQ ID: 115
TGTCAATATTATCTCCTGTACTACGTTGAA
57%

Legionella



B (N gene)
B-probe
SEQ ID: 116
TGATACATTAAATAAGGATCAGCTGCTGTCATCCA


pneumophila 60%






PathogenDx
A + B FP
SEQ ID: 117
AAARATGGCTCTTAGCAAAGTCAAG
68%

Streptococcus



proposed





salivarius 64%



A + B
A + B RP
SEQ ID: 118
CGTTGRATRGTRTATTTGCTGGATG
64%

Streptococcus



(N gene)





pneumoniae 52%




A-probe
SEQ ID: 119
ACACTCAACAAAGATCAACTTCT
N/A2




B-probe
SEQ ID: 120
ACATTAAATAAGGATCAGCTGCT
N/A2






1Exclusivity respiratory panel % complementarity (organism with closest match). Generally, <80% total complementarity requires no deeper analysis




2Surface Bound non-PCR oligos are not subjected to sequences other than amplimers generated from the PCR primers














TABLE 31







Summary of the 96-well automated hybridization test*























Stan-

Stan-














dard

dard













Aver-
Devi-
Aver-
Devi-
(a)
(b)
(c)
(d)









age
ation
age
ation
True
False
False
True









Posi-
Posi
Nega-
Nega-
Posi-
Posi-
Nega-
Nega-


Sensi-
Speci-





tives
tives
tives
tives
tive
tives
tive
tive
LoB
LoD
tivity
ficity
PPV
NPV
























62-Negcont-B
2084
729
2005
1197
30
0
0
30
N/A
N/A
100
100
100
100


RNAse.P.Probe-pub1.1
56092
1324
59532
1281
30
0
0
30
N/A
N/A
100
100
100
100


SARS.COV2-N1-RE1.1
55102
3898
5625
15613
30
3
0
30
N/A
N/A
100
90.91
91
100


SARS.COV2-N1-RE1.1
55190
3091
6328
15471
30
3
0
30
N/A
N/A
100
90.91
91
100


SARS.COV2-N2-RE1.3
52644
4131
7791
15341
30
5
0
30
N/A
N/A
100
85.71
86
100


SARS.COV2-N2-RE1.3
53041
4202
8336
14677
30
5
0
30
N/A
N/A
100
85.71
86
100


SARS.COV2-N2-RE1.4
56120
1324
9323
19459
30
5
0
30
N/A
N/A
100
85.71
86
100


SARS.COV2-N3-RE1.1
56120
1324
12704
22979
30
7
0
30
N/A
N/A
100
81.08
81
100


SARS.COV2-N3-RE1.1
56119
1321
12635
23308
30
7
0
30
N/A
N/A
100
81.08
81
100


TOTAL
N/A
N/A
N/A
N/A
30
4
0
30
N/A
N/A
100
88.24
88
100





*Tecan Automated Hybridization Protocol-Two-Step RT-PCR and Labeling Reaction with TriCore NP Samples













TABLE 32







Optimizing complete [S.N1, N2, N3.P, PanA, PanB] using


pooled positive and pooled negative samples

















Positive
Positive
Positive

Negative
Negative
Negative



Positive
pooled
pooled
pooled
Negative
pooled
pooled
pooled


Sample
pooled
(infA)
(infB)
(infA, B)
pooled
(infA)
(infB)
(infA, B)


















62-Negcont-B
2502
1703
2947
1012
1950
2380
1870
1728


SARS.COV2-N1-RE1.1
62053
60858
58695
55988
2330
2227
2067
1417


SARS.COV2-N2-RE1.3
53469
50035
48069
48001
696
860
751
223


SARS.COV2-N2-RE1.4
62125
61966
62838
60932
1445
1229
1274
946


SARS.COV2-N3-RE1.1
62378
62148
63048
61164
6858
4820
5932
4001


RNAse.P.Probe-pub1.1
47022
39703
39083
37667
62564
61029
62077
55084


InfA.7.univ-pubRev
257
2913
450
2852
329
37312
−44
36881


InfB.8 univ-pub
24
−134
8691
5335
−161
−68
17062
16098


614D-AS-S1-RE1.1
905
721
1573
−52
596
643
584
13


614G-AS-S1-RE1.1
1466
1486
3129
437
1176
1121
1070
775


614D-SE-S1-RE1.1
2680
1429
9252
100
745
680
818
238


614G-SE-S1-RE1.2
30306
14561
14828
12906
840
617
1104
710









Example 19

96-Well and 384-Well Test Optimization


Clinical sensitivity and specificity analysis performed on the Mini-RV content in 9985 array format using Asymmetric One-Step RT-PCR revealed a 100% sensitivity and 94% specificity for each of the 96-well and 384-well samples. Tables 33 and 34 shows an improvement in specificity for the SARS.COV2-N1-RE1.1 probe. Signal strength for the RNase-P control is also improved.


Example 20

Influenza Testing on Clinical Samples (NP/VTM) Using Mini-RV, Asymmetric One-Step RT-PCR


Influenza Positive TriCore Clinical Samples (NP/VTM) were used for clinical evaluation of Influenza A and B primer and probes in two positive Influenza A, validated on a respiratory panel (RESPAN, TriCore) and two positive Influenza B, validated on an Influenza A/B and RSV panel (FLURSV, TriCore), analyzed on Mini-RV slide format. Table 35 shows that Influenza A and B were detected in confirmed clinical samples via standard Asymmetric One-Step RT-PCR (Zymo), with a clear discrimination between Influenza A vs Influenza B.


Example 21

Analysis of Mouthwash Samples Using Mini-RV Asymmetric One-Step RT-PCR.


Mouthwash/saliva samples were separated and evaluated by itself (MW-1), spiked with SARS-CoV2 viral lysate from ATCC (MW-2), or with SARS-CoV2 purified viral RNA from ATCC (MW-3). The mouthwash sample was taken through Zymo's RNA purification and amplified using the Asymmetric One-Step RT-PCR method. Amplicons were analyzed on Mini-RV format (12-well slides). Table 36-shows that SARS-CoV2 was detected in contrived mouthwash samples.









TABLE 33







Clinical Sensitivity and Specificity in 96-well format























Stan-

Stan-














dard

dard













Aver-
Devi-
Aver-
Devi-
(a)
(b)
(c)
(d)









age
ation
age
ation
True
False
False
True









Posi-
Posi
Nega-
Nega-
Posi-
Posi-
Nega-
Nega-


Sensi-
Speci-





tives
tives
tives
tives
tive
tives
tive
tive
LoB
LoD
tivity
ficity
PPV
NPV
























62-Negcont-B
1576
978
1255
561
30
0
0
30
N/A
N/A
100
100
100
100


RNAse.P.Probe-pub1.1
53737
13600
48392
23841
30
0
0
30
N/A
N/A
100
100
100
100


SARS.COV2-N1-RE1.1
49089
17417
7544
4311
30
2
0
30
N/A
N/A
100
94
94
100


SARS.COV2-N2-RE1.3
40485
21135
2567
4861
30
2
0
30
N/A
N/A
100
94
94
100


SARS.COV2-N2-RE1.4
50842
17848
1702
734
30
2
0
30
N/A
N/A
100
94
94
100


SARS.COV2-N3-RE1.1
51720
16137
8152
4697
30
2
0
30
N/A
N/A
100
94
94
100


Overall
N/A
N/A
N/A
N/A
30
2
0
30
N/A
N/A
100
94
94
100
















TABLE 34







Clinical Sensitivity and Specificity format in 384-well























Stan-

Stan-














dard

dard













Aver-
Devi-
Aver-
Devi-
(a)
(b)
(c)
(d)









age
ation
age
ation
True
False
False
True









Posi-
Posi
Nega-
Nega-
Posi-
Posi-
Nega-
Nega-


Sensi-
Speci-





tives
tives
tives
tives
tive
tives
tive
tive
LoB
LoD
tivity
ficity
PPV
NPV
























62-Negcont-B
2286
793
2696
1177
30
0
0
30
N/A
62.5
100
100
100
100


RNAse.P.Probe-pub1.1
49278
15639
48208
21205
30
0
0
30
N/A
62.5
100
100
100
100


SARS.COV2-N1-RE1.1
41364
18774
5041
1377
30
2
3
30
N/A
62.5
91
94
94
91


SARS.COV2-N2-RE1.3
35109
18663
1200
716
30
2
3
30
N/A
62.5
91
94
94
91


SARS.COV2-N2-RE1.4
47691
17794
1465
648
30
2
3
30
N/A
62.5
91
94
94
91


SARS.COV2-N3-RE1.1
48073
16722
5004
2292
30
2
3
30
N/A
62.5
91
94
94
91


Overall
N/A
N/A
N/A
N/A
30
0
3
30
N/A
62.5
91
100
100
91
















TABLE 35







DETECTX-RV (Mini-RV) Influenza evaluation













Influenza






A/B






(Positive






Control)






Influenza





No
A/B





Template
(10,000
Influenza A
Influenza B



Control
copies/
(Clinical Sample)
(Clinical Sample)













9985 Probes
(NTC)
reaction)
#179502
#179504
#170231
#170232
















62-Negcont-B
3869
2584
2392
2934
2339
4421


SARS.COV2-N1-
5155
293
584
291
3342
1125


SARS.COV2-N2-
825
−21
−19
−34
42
361


SARS.COV2-N2-
991
921
1055
1068
1460
1434


SARS.COV2-N3-
7727
1415
4105
6139
7031
4604


RNAse.P.Probe-
2498
1465
54868
61894
59917
54383


InfA.7.univ-pubRev
−185
11670
54328
50269
658
555


InfB.8.univ-pub
397
61813
255
366
10304
30340


614D-AS-S1-RE1.1
321
549
135
219
311
110


614G-AS-S1-RE1.1X
1056
845
654
925
905
1171


614D-SE-S1-RE1.1
421
416
189
515
176
569


614G-SE-S1-RE1.2
228
454
208
422
327
666









Example 22

Design of a Pan-Cold Coronavirus Probe Assay


The assay is based on RdRp and has an inclusivity of (NL63+OC43+229E+HKU1). Primers and Probes used for the assay are shown in Tables 37 and 38. In Silico analysis demonstrates that the primers and probes are specific for their targets and do not demonstrate off target interactions—less than 80% homology to any off-target sequence. Table 39 shows the exclusivity analysis using the following sequences—Homo sapiens (taxid:9606), HCoV-229E (taxid:11137), HCoV-OC43 (taxid:31631), HCoV-HKU1 (taxid:290028), HCoV-NL63 (taxid:277944), MERS-CoV (taxid:1335626), Human metapneumovirus (taxid:162145), Human adenovirus sp. (taxid:1907210), HPIV-1 (taxid:12730), HPIV-2 (taxid:1979160), HPIV4 (taxid:1979161), Influenza A virus (taxid:11320), Influenza B virus (taxid:11520), Enterovirus (taxid:12059), Human parainfluenza virus 4b (taxid:11226), Streptococcus pneumoniae (taxid:1313), HRSV (taxid:11250), Rhinovirus (taxid:12059), Chlamydia pneumoniae (taxid:83558), Haemophilus virus HP2 (taxid:157239), Legionella pneumophila (taxid:446), Mycobacterium tuberculosis (taxid:1773), Streptococcus pyogenes (taxid:1314), Bordetella pertussis (taxid:520), Mycoplasma pneumoniae (taxid:2104), Pneumocystis jirovecii (taxid:42068), Candida albicans (taxid:5476), Pseudomonas aeruginosa (taxid:287), Staphylococcus epidermidis (taxid:1282), Streptococcus salivarius (taxid:1304), HPIV-3 (taxid:11216); and exclude: HCoV-SARS (taxid:694009), SARS-CoV2 (taxid:2697049). No complementarity (<80%) was observed compared to the full standard exclusivity panel. Inclusivity analysis (Table 40) using the sequences HCoV-NL63 (taxid:277944) HCoV-C43 (taxid:31631), HCoV-229E (taxid:11137), HCoV-HKU1 (taxid:290028) MERS-CoV (taxid:1335626) showed >98% compared to GenBank (NL63+OC43+229E+HKU1) plus several other animal Coronavirus.









TABLE 36







DETECTX-RV (Mini-RV) SARS-CoV-2 evaluation in contrived mouthwash samples











SARS-CoV-2
Pooled Sample




(Positive Control
(Positive Control)




Plasmid)
SARS-CoV-2
Contrived Mouthwash



SARS-CoV-2
(Clinical Positive,
Samples













9985 Probes
NTC
1000 copies/reaction
NP/VTM)
MW-1*
MW-2
MW-3§
















62-Negcont-B
3869
2719
3196
3486
2342
1955


SARS.COV2-N1-RE1.1
5155
37071
61691
3379
48808
35396


SARS.COV2-N2-RE1.3
825
21979
42964
551
40579
11916


SARS.COV2-N2-RE1.4
991
51528
61773
2273
61671
40734


SARS.COV2-N3-RE1.1
7727
52631
61944
4932
61745
44499


RNAse.P.Probe-pub1.1
2498
2482
46178
39598
13423
36278


InfA.7.univ-pubRev
−185
−36
47
128
27
162


InfB.8.univ-pub
397
485
50
−115
112
−17


614D-AS-S1-RE1.1
321
1031
716
833
1420
727


614G-AS-S1-RE1.1X
1056
1834
1615
1201
1608
979


614D-SE-S1-RE1.1
421
1336
3467
637
18936
1133


614G-SE-S1-RE1.2
228
1207
36769
964
1444
552





*MW - 1 - Mouthwash collected, not spiked with SARS-CoV-2



MW - 2 - Mouthwash, spiked with SARS-CoV-2 Viral Lysate, 1 × 108 PFU (BEI. Wuhan)




§MW - 3 - Mouthwash, spiked with SARS-CoV-2 purified RNA at 1000 copies total for input to RNA extraction (BEI. Wuhan)














TABLE 37







Primer sequences for Pan-cold Coronavirus probe assay










SEQ ID NO.
Target
Gene
Primer Sequence (5′ to 3′)





SEQ ID: 23
SARS-CoV-2
N1
TTTTAATGGACCCCAAAATCAGCGAAAT



Nucleocapsid







SEQ ID: 24
SARS-CoV-2
N1
(FL)TTTTTCTGGTTACTGCCAGTTGAATC



Nucleocapsid

TG





SEQ ID: 25
CoV Nucleocapsid
N2
TTTACTGATTACAAACATTGGCCGCAAA





SEQ ID: 74
CoV Nucleocapsid
N2
(FL)TTTTGCCAATGCGCGACATTCCGAA





GAA





SEQ ID: 27
CoV Nucleocapsid
N3
TTTAGGGAGCCTTGAATACACCAAAAGA





SEQ ID: 28
CoV Nucleocapsid
N3
(FL)TTTAAGTTGTAGCACGATTGCAGCA





TTG





SEQ ID: 75
SARS-CoV-2 Spike
S
TTTAGTGTTATAACACCAGGAACAAATA



Gene







SEQ ID: 76
SARS-CoV-2 Spike
S
(FL)TTTTGCATGAATAGCAACAGGGACT



Gene

TCT





SEQ ID: 77
Pan-CoV RdRp
RdRp
TTTTTTAATAAGTATTTTAAGCAYTGGAG





T





SEQ ID: 78
Pan-CoV RdRp
RdRp
(FL)TTTAAGAGTGTGTTAAAATTTGAACA





ATG





SEQ ID: 79
Pan-CoV RdRp
RdRp
TTTTGTTTAAGAAGTATTTTAARTATTGG





G





SEQ ID: 80
Pan-CoV RdRp
RdRp
(FL)TTTAATAGTGTATTRAAATTAGCACA





ATG





SEQ ID: 39
Influenza A
M
TTTCAAGACCRATCCTGTCACCTCTGAC





SEQ ID: 81
Influenza B
M
TTTGGATCCTCAACTCACTCTTCGAGCG





SEQ ID: 82
Influenza A
NS1
(FL)TTTGGGCATTYTGGACAAAKCGTCT





ACG





SEQ ID: 42
Influenza B
NS1
(FL)TTTTAATCGGTGCTCTTGACCAAATT





GG





SEQ ID: 83
HRSV
N
TTTAAARATGGCTCTTAGCAAAGTCAAG





SEQ ID: 84
HRSV
N
(FL)TTTCGTTGRATRGTRTATTTGCTGG





ATG





SEQ ID: 43
Human RNAse P
RNAse P
TTTGTTTGCAGATTTGGACCTGCGAGO



control







SEQ ID: 44
Human RNAse P
RNAse P
(FL)TTTAAGGTGAGCGGCTGTCTCCACA



control

AGT





(FL) = fluorescent label.













TABLE 38







Nucleic acid probe sequences used for hybridization in Pan-cold


Coronavirus probe assay










SEQ ID NO.
Target
Detects
Probe Sequence





SEQ ID: 45
SARS-CoV-2
SARS-CoV-2 614G,
TTTTTTTCCGCATTACGTTT




SARS-CoV-2 614D
GGTGTTTTTT





SEQ ID: 48
SARS-CoV-2
SARS-CoV-2 614G,
TTTTTTACAATTTGCCCCC




SARS-CoV-2 614D
AGCGTCTTTTT





SEQ ID: 49
SARS
SARS
TTTTTTTTTGCTCCRAGTG





CCTCTTTTTTT





SEQ ID: 85
CoV Bat precursor
Bat SARS-like CoV
TTTTTTGTTTGCACCTAGT





GCTTCCTTTTT





SEQ ID: 86
CoV Pangolin
Pangolin CoV S. China
TTTTTTTTTGCTCCTAGCG



precursor

CTTCTTTTTTT





SEQ ID: 53
CoV Bat precursor-
Bat precursor (Yunnan
TTTTTGTTTGCACCCAGTG



Yunnan 2013
2013)
CTTCTGCTCTTTT





SEQ ID: 54
CoV Bat precursor-
New bat CoVs (Yunnan
TTTTTTACAATTCGCTCCC



Yunnan 2019
2019)
AGCGTCTTTTT





SEQ ID: 55
CoV Nucleocapsid
SARS-CoV-2 614G,
TTTTTCTGGCACCCGCAAT




SARS-CoV-2 614D,
CCTGTCTTTTT




SARS, Bat-SARS-like





CoV, Pangolin CoV, S.





China, Bat precursor





(Yunnan 2013), New





Bat CoVs (Yunnan





2019)






SEQ ID: 87
SARS-CoV-2 614
SARS-CoV-2 614G,
TTTTTCTCTTTATCAGGRT



All
SARS-CoV-2 614D
GTTAACTGCTTTTTT





SEQ ID: 88
SARS-CoV-2 614
SARS-CoV-2 614G
TTTTTTCCTATCAGGGTGT



″G″

TAACTTTTTTT





SEQ ID: 89
SARS-CoV-2 614
SARS-CoV-2 614D
TTTTTCTTATCAGGATGTTA



″D″

ACTTTTTTTT





SEQ ID: 90
HCoV-OC43
HCoV-OC43
TTTTTATATCATCCTAACAC





TGTTGATTGTTTTTT





SEQ ID: 91
NHCoV-NL63
HCoV-NL63
TTTTTTTATCATCCTAATTG





TAGTGACTGTTTTTT





SEQ ID: 92
NHCoV-HKU1
HCoV-HKU1
TTTTTGTATCATCCTAATAC





TGTGGATTGTTTTTT





SEQ ID: 93
HCoV-229E
HCoV-229E
TTTTTTTATCATCCTGATTG





TGTTGATTGCTTTTT





SEQ ID: 94
MERS
MERS-CoV
TTTTTAATTGCGTTAATTGT





ACTGATGACCTTTTT





SEQ ID: 67
Influenza A
Influenza A
TTTTTTTCGTGCCCAGTGA





GCGAGTTTTTT





SEQ ID: 95
Influenza B
Influenza B
TTTTCCAATTCGAGCAGCT





GAAACTGCGGTGTTTTT





SEQ ID: 96
HRSV-A
HRSV-A
TTTTTCACACTCAACAAAG





ATCAACTTCTTCTTCTT





SEQ ID: 97
HRSV-B
HRSV-B
TTTTTCGATACATTAAATAA





GGATCAGCTTTTTTT





SEQ ID: 71
RNAse P control
Human RNAse P
TTTTTTTTCTGACCTGAAG





GCTCTGCGCGTTTTT





SEQ ID: 73
Negative Control
Human RNAse P
TTTTTTCTACTACCTATGCT





GATTCACTCTTTTT









Example 23

Analysis of Contrived Samples


Emory Test Samples. Emory contrived a sample with heat inactivated CoV2 virus (BEI standards) in VTM, covering a dilution series from 106 to 0 virus/ml. The sample was then shipped to PDx in double-blinded form. PDx performed the full manual process in the 96-well format (that is, Zymo RNA purification+One-Step PCR+Hybridization/Wash+Imaging+AUGURY). The results obtained were then reported to Emory, which was tasked with reporting concordance with the number of virus particles/ml originally added.









TABLE 39







Pan CoV - Exclusivity respiratory panel %


complementarity1 (Organism with closest match)

















Homo






SEQ ID NO
Sequence

sapiens

Non-human










Forward Primer seq (5′ to 3′)












PathogenDx
NL63/
SEQ ID: 121
TTTAATAAGTATTTTAAGCAYTGGAGT
66%

Streptococcus




OC43




pyogenes 59%






Proposed
229E
SEQ ID: 122
TGTTTAAGAAGTATTTTAARTATTGGG
70%

Staphylococcus



Pan-CoV
HKU1




epidermis 60%



(RdRP gene)
MERS











Reverse Primer seq (5′ to 3′)













299E
SEQ ID: 123
AAGAGTGTGTTAAAATTTGAACAATG
73%

Streptococcus









pneumoniae








73%






NL63
SEQ ID: 124
AATAGTGTATTRAAATTAGOACAATG
79%

Staphylococcus




OC43




epidermis




HKU1



61%



MERS














Probe sequence (seq 5′ to 3′)













NL63
SEQ ID: 125
TTATCATCCTAATTGTAGTGACTGT
N/A2
N/A2






229E
SEQ ID: 126
TTATCATCCTGATTGTGTTGATTGC
N/A2
N/A2






OC43
SEQ ID: 127
ATATCATCCTAACACTGTTGATTGT
N/A2
N/A2






HKU1
SEQ ID: 128
GTATCATCCTAATACTGTGGATTGT
N/A2
N/A2






MERS*
SEQ ID: 129
AATTGCGTTAATTGTACTGATGACC
N/A2
N/A2





*shifted to avoid palindromic seq



1Generally, <80% total complementarity requires no deeper analysis




2Surface Bound non-PCR oligos are not subjected to sequences other than amplimers generated from the PCR primers














TABLE 40







Pan CoV-Inclusivity Analysis (Genbank). Number of sequences with 100% complementarity


(unless noted)



















HCoV-
HCoV-
HCoV-
HCoV-
MERS-




SEQ ID NO.
Sequence used for comparison
NL63
OC43
229E
HKU1
CoV










Forward Primer seq (5′ to 3′)















PathogenDx
NL63
SEQ ID: 130
TTYAATAAGTAYTTTAAGCAYTGGAGT
89/89
245/247
N/A
N/A
N/A



OC43


100%
99.2%








Proposed
229E
SEQ ID: 131
TSTTTRABAAGTAYTTTAARTATTGGG
N/A
N/A
51/51
47/47
578/581


Pan-CoV
HKU1




100%
100%
99.5%


(RdRP gene)
MERS














Reverse Primer seq (5′ to 3′)
















299E
SEQ ID: 132
AAGAGTGTGTTAAAATTTGAACAATG
N/A
N/A
51/51
N/A
N/A








100%








NL63
SEQ ID: 133
AAHARTRYRTTRAAATTAGCACAATG
89/89
245/247
N/A
53/53
580/581



OC43


100%
99.2%

100%
99.8%



HKU1










MERS

















Probe sequence (seq 5′ to 3′)
















NL63
SEQ ID: 134
TTATCATCCTAATTGTAGTGACTGT
88/89
N/A
N/A
N/A
N/A






 99%










229E
SEQ ID: 135
TTATCATCCTGATTGTGTTGATTGC
N/A
N/A
51/51
N/A
N/A








100%








OC43
SEQ ID: 136
ATATCATCCTAACACKGTTGATTGT
N/A
244/247
N/A
N/A
N/A







98.7%









HKU1
SEQ ID: 137
GTATCATCCTAATACTGTGGATTGT
N/A
N/A
N/A
47/47
N/A









100%







MERS*
SEQ ID: 138
ATTGCGTTAATTGTACTGATGACC
N/A
N/A
N/A
N/A
577/580










99.5%





*shifted to avoid palindromic seq













TABLE 41







Emory testing of samples provided by PathogenDx*













Heat inactivated
Irradiated cell lysate
KP
KP






















10
1
0.1
0.01
10
1
0.1
0.01
mouthwash
swab
Positive
Negative
116



1
2
3
4
5
6
7
8
9
10
control
control
X
























RNAse.P.Probe-pub1.1
+
+
+
+
+
+
+
+
+
+
+

+


SARS.COV2-N3-RE1.1
+
+
+
+/−
+/−
+
+
+


+

+


SARS.COV2-N2-RE1.4
+
+/−


+
+
+/−



+

+


SARS.COV2-N2-RE1.3
+/−



+







+


SARS.COV2-N1-RE1.1
+
+/−


+
+
+/−



+

+


62-Negcont-B















Overall call
POS
POS
RERUN
NEG
POS
POS
POS
RERUN
NEG
NEG
POS
NEG
POS





*units are in copies/ml input into the RNA extraction













TABLE 42







PathogenDx run testing*













Heat inactivated
Irradiated cell lysate
KP
KP






















10
1
0.1
0.01
10
1
0.1
0.01
mouthwash
swab
Positive
Negative
116



1
2
3
4
5
6
7
8
9
10
control
control
X
























RNAse.P.Probe-pub1.1
+
+
+
+
+
+
+
+
+
+
+

+


SARS.COV2-N3-RE1.1
+
+
+
+/−
+
+
+
+


+

+


SARS.COV2-N2-RE1.4
+
+/−


+
+
+/−



+

+


SARS.COV2-N2-RE1.3
+/−



+







+


SARS.COV2-N1-RE1.1
+
+/−


+
+
+/−



+

+


62-Negcont-B















Overall call
POS
POS
RERUN
NEG
POS
POS
POS
RERUN
NEG
NEG
POS
NEG
POS





*units are in copies/ml input into the RNA extraction







Training Samples. PDx completed validation and shipped to Emory, a full suite of stepwise training materials, “Imaging Test”; “Hybridization/Wash+Imaging Test”; “PCR+Hybridization/Wash+Imaging Test”. Two sets of blinded contrived samples were made from both γ-inactivated and heat inactivated reference standards (BEI) in pooled nasal fluid, diluted from 104 copies/ml to 10 copies/ml (Tables 41 and 42).


Results:


Emory testing of blinded contrived samples from PDx: Emory's data for the test samples provided by PDx, which required the full processing workflow (RT-PCR+Hybridization/Wash+Imaging+AUGURY) had readouts of the blinded PDx-contrived samples that were identical within experimental accuracy to that obtained independently at PDx.









TABLE 43







Summary of PDx Validation Data on Blinded Emory Samples*











Cov-2 virus





particles/ml VTM
PDx




(prepared by Emory)
Positive calls
Comments







106
2 of 2




105
2 of 2




104
2 of 2




103
1 of 3
+1 “re-run”



102
0 of 3
+1 “re-runs”



10 
0 of 3
+2 “re-runs”



0
0 of 3
No false positives





detected at 0





CoV-2 virus/ml



0 (OC43)
0 of 4
OC43 was not





detected at both





100 and 1000





OC43 virus/ml







*PDx Scoring Criteria: “Positive calls” = (≥2) N probes; “re-run” = (1) N probe; “Negative calls” = (0) N probes







PDx Testing of Double-Blinded Contrived Samples from Emory:


PDx's data readout on the double blinded samples provided by Emory (Tables 43 and 44) indicated a LoD of ˜1000 viral copies/ml for the contrived heat inactivated CoV-2 samples. It is interesting to note that the apparent LoD obtained by PDx is identical within experimental accuracy to that obtained by Emory and PDx (1000 copies/ml, Table 45).


It should be noted that if the PDx standard were relaxed to that used in most Q-RT-PCR assays, that is, ≥1 probe detected comprising a positive readout, the LoD thus obtained by PDx analysis on the Emory samples would be in the 10-100 copies/ml range, because reruns would have been identified as “positives” using the less stringent analytical standard (Tables 43).









TABLE 44







PDx Analysis of Contrived Samples Prepared by Emory














Blinded



PDx




Sample
Overall

Cov-2 virus/ml
Positive


Sample #
ID
Call
gRNA/ml
(prepared by Emory)
calls
Comment
















1
8819
NEG
OC43, 1000
106
2 of 2



2
8833
POS
105
105
2 of 2


3
8814
NEG
 0
104
2 of 2


4
8826
NEG
OC43, 1000
103
1 of 3
1 “re-run”


5
8812
NEG
10
102
0 of 3
1 “re-run”


6
8809
POS
105
10
0 of 3
2 “re-run”


7
8806
RERUN
102
 0
0 of 3


8
8813
NEG
OC43, 100
0 (OC43)
0 of 4


9
8821
POS
104


10
8832
NEG
102


11
8808
RERUN
103


12
8804
NEG
OC43, 100


13
8817
NEG
102


14
8820
RERUN
10


15
8815
RERUN
10


16
8811
NEG
 0


17
8825
POS
105


18
8822
NEG
 0


19
8818
POS
103


20
8823
POS
105


21
8805
POS
104


22
8827
NEG
103


23
PDx
POS



External



Extraction



Control


24
PDx NEG
NEG



Control





PDx Analysis criteria:


“Positive” = >2 positive N probe signals


“Re-run” = 1 positive N probe signals


“Negative” = 0 positive N probe signals













TABLE 45







Summary of Emory Training Data on Blinded PDx Samples












LoD obtained





on PDx samples
Contrived



Analysts
(copies/ml)
sample type















Both Emory and PDx
100< to >1000
γ-Irradiated CoV-2



Both Emory and PDx
1000
Heat lnactivated CoV-2










It is also interesting to note that for the contrived samples prepared by PDx and measured by Emory (Table 42) and the contrived samples prepared by Emory and measured by PDx (Table 40) all samples lacking CoV-2 gave 100% negative results per PDx analysis (Tables 41, 42 and 44) indicative of desired specificity even when the samples were contrived to contain significant amounts of another coronavirus (OC43) as in the Emory contrived samples (Tables 44).


Example 24

Optimization of the Mini-RV Assay in the 96-Well Format: Approaching 2-Step on Slides


Improvements made in Hybridization/Washing of the Mini-RV array were implemented manually, but via pipetting that can map over directly to the Tecan.


Method—96-Well Plates






    • 1. Samples were extracted using standard manual protocol (Zymo).

    • 2. Clinical samples used had previously been tested on the Roche COBAS 8800 platform (TriCore). Positive Clinical samples (13<Cq<35) as measured by Roche Cobas. were subdivided into high, med and low Cq levels

    • 3. Contrived samples were prepared from TriCore/Cobas Negatives at 25 gRNA copies/400 μL=62.5 copies/ml

    • 4. RT-PCR was performed using the following conditions:















Asymmetric One-Step RT-PCR conditions




















i.
Access Quick Master mix (2x)
25
μl



ii.
RT-PCR primer
2
μl



iii.
AMV reverse transcriptase
1
μl



iv.
Water
17
μl



v.
Sample
5
μl











Access Quick RT-PCR
    • Step i. 45° C., 45 min. 1 cycle
    • Step ii. 94° C. 2 min. 1 cycle
    • Step iii. 94° C. 30 sec. 40 cycles
    • Step iv. 55° C., 30 sec, 40 cycles
    • Step v. 68° C., 30 sec, 40 cycles
    • Step vi. 68° C. 7 min. 1 cycle
    • Step vii. 4° C.,
    • 5. Manual hybridization and washing of RT-PCR product was performed on the 96-well plates.


      Results—96-Well Plates:


      Contrived negative samples TriCore Negative NP at 62.5 copies/ml.


Clinical LoD for Asymmetric One-Step RT-PCR in 96-Well Mini-RV approached matched 2-step PCR with slides (≤62.5 copies/mL) (Tables 46 and 47). The LoB appeared to approach slides with manual operation.









TABLE 46





Negative Clinical Samples for LoB (Cq > 35)

















DetectX RV Call





































Roche Cq


















35-38
35-38
35-38
35-38
35-38
35-38
35-38
35-38
35-38
35-38



PATHO-
PATHO-
PATHO-
PATHO-
PATHO-
PATHO-
PATHO-
PATHO-
PATHO-
PATHO-


Well description
001
002
003
004
005
006
007
008
009
010





Threshold: 6K; 4K; 10K
Well 33
Well 34
Well 35
Well 36
Well 37
Well 38
Well 39
Well 40
Well 41
Well 42


614D-SE-S1-RE1.4
1569
1739
2443
941
2494
796
667
1391
948
605


614G-SE-S1-RE1.4
1612
2030
2198
1715
2098
1355
882
1639
1060
743


614U-SE-S1-RE1.1
1041
1780
2285
1432
2725
1060
839
1533
1448
1545


62-Negcont-B
190
205
2040
1600
2624
963
1742
2710
220
203


InfA
261
398
226
−7
−70
26
477
1518
−65
−7


InfB
40
41
477
200
1264
164
−80
−32
82
236


RNAse.P.Probe-pub1.1
64285
64356
63611
62691
63406
62341
61277
62185
64297
64283


SARS.COV2-N1-pub
5141
5626
8989
6180
10508
6720
6390
8833
5856
8904


SARS.COV2-N1-RE1.1
1001
1421
4129
2343
2972
1623
2177
3855
1408
2965


SARS.COV2-N2-RE1.3
623
773
1945
979
2509
1321
1536
1205
866
434


SARS.COV2-N2-RE1.4
667
826
2133
1538
2572
2536
1126
2320
533
617


SARS.COV2-N3-RE1.1
3914
4892
7773
7221
3844
2518
7985
5725
2888
2671












DetectX RV Call



















RERUN

















Roche Cq


















35-38
35-38
35-38
35-38
35-38
35-38
35-38
35-38
35-38
35-38



PATHO-
PATHO-
PATHO-
PATHO-
PATHO-
PATHO-
PATHO-
PATHO-
PATHO-
PATHO-


Well description
011
012
013
014
015
016
017
018
019
020





Threshold: 6K; 4K; 10K
Well 43
Well 44
Well 45
Well 46
Well 47
Well 48
Well 49
Well 50
Well 51
Well 52


614D-SE-S1-RE1.4
1832
1227
2043
829
1640
1093
1317
1577
2254
1666


614G-SE-S1-RE1.4
2022
1462
1352
644
1926
2411
1804
1816
2135
1623


614U-SE-S1-RE1.1
1629
1272
1911
1069
2048
2077
1449
1101
2227
1296


62-Negcont-B
1216
877
2236
1336
3313
776
−33
94
1845
1139


InfA
1509
71
285
733
−83
56
295
71
243
473


InfB
10
189
551
−3
487
24
92
4
374
−14


RNAse.P.Probe-pub1.1
64134
62543
63437
62572
62492
62954
64236
64248
36197
62468


SARS.COV2-N1-pub
5137
5810
6049
6931
10119
10668
3815
5094
2547
4992


SARS.COV2-N1-RE1.1
2550
2272
2627
2283
3367
2808
833
616
1754
1357


SARS.COV2-N2-RE1.3
2887
1427
1618
1343
1896
3665
339
210
1119
1316


SARS.COV2-N2-RE1.4
3226
1625
2066
832
2308
2195
636
291
1453
1201


SARS.COV2-N3-RE1.1
7911
10842
4860
5189
8967
8296
2476
5302
2325
5931












DetectX RV Call





















RERUN


RERUN

RERUN










Roche Cq


















35-38
35-38
35-38
35-38
35-38
35-38
35-38
35-38
35-38
35-38



PATHO-
PATHO-
PATHO-
PATHO-
PATHO-
PATHO-
PATHO-
PATHO-
PATHO-
PATHO-


Well description
021
022
023
024
025
026
027
028
029
030





Threshold: 6K; 4K;1 0K
Well 53
Well 54
Well 55
Well 56
Well 57
Well 58
Well 59
Well 60
Well 61
Well 62


614D-SE-S1-RE1.4
2209
1557
1528
1917
1496
1546
1512
1343
2429
1993


614G-SE-S1-RE1.4
1908
1751
2100
6149
1872
1574
1127
1448
2875
1367


614U-SE-S1-RE1.1
2539
1673
2186
1831
981
1300
1167
1500
2672
2048


62-Negcont-B
3050
1662
1365
2221
39
39
1331
909
1299
1813


InfA
−36
−15
426
1138
240
85
121
132
750
−16


InfB
1320
642
530
113
87
215
20
178
−58
1192


RNAse.P.Probe-pub1.1
62897
62942
61442
62268
64177
63884
62980
62404
63589
63575


SARS.COV2-N1-pub
7549
5376
6517
8961
10142
6738
7125
8100
9074
8946


SARS.COV2-N1-RE1.1
3326
2497
1688
2222
1925
1840
3237
2777
2373
3262


SARS.COV2-N2-RE1.3
3254
1772
1884
1791
887
1148
1984
2587
2259
3146


SARS.COV2-N2-RE1.4
3584
1620
2119
2114
1194
1183
2023
986
2432
2223


SARS.COV2-N3-RE1.1
7887
6507
5352
11168
1388
1935
11533
9546
11583
8293
















TABLE 47





Contrived Samples for LOD (at 62.5 copies/ml)

















DETECTX RV Call




















+
+
+
+
+
+
+
+
+
+
+
+









Roche Cq




















na
na
na
na
na
na
na
na
na
na
na
na


Well description
LoD
LoD
LoD
LoD
LoD
LoD
LoD
LoD
LoD
LoD
LoD
LoD





Threshold: 6K; 4K; 10K
Well 65
Well 66
Well 67
Well 68
Well 69
Well 70
Well 71
Well 72
Well 73
Well 74
Well 75
Well 76


614D-SE-S1-RE1.4
3484
3245
3556
3327
2871
2955
3215
4688
2376
3106
3127
3608


614G-SE-S1-RE1.4
1642
1542
1745
1886
2449
1759
1776
2333
1610
1892
1186
2330


614U-SE-S1-RE1.1
6504
8639
5886
6293
7253
5724
6247
9771
5196
4319
5278
5000


62-Negcont-B
174
236
1220
1935
1646
1417
1720
1462
−11
10
457
1441


InfA.7.univ-pubRev
304
756
516
−250
397
578
−58
1252
796
447
698
−8


InfB.8.univ-pub
−19
8
−35
285
137
−128
489
−186
86
72
−61
106


RNAse.P.Probe-pnb1.1
64140
63980
63208
62801
62778
62654
62379
62257
64023
64035
62275
62997


SARS.COV2-N1-pub
47158
50266
47720
49275
48853
46530
47431
50286
51818
50304
46915
47317


SARS.COV2-N1-RE1.1
30375
38749
38833
39965
40642
38697
39535
38895
39039
35832
37634
37856


SARS.COV2-N2-RE1.3
12315
11772
16989
18934
22002
18178
20475
29839
17666
10185
21361
15242


SARS.COV2-N2-RE1.4
41784
43045
45998
48386
50500
45570
48290
52478
41701
40695
49169
46306


SARS.COV2-N3-RE1.1
42343
44361
47653
47233
50989
45577
51288
55057
44002
43018
47688
48303












DetectX RV Call




















+
+
+
+
+
+
+
+
+
+
+
+









Roche Cq




















na
na
na
na
na
na
na
na
na
na
na
na


Well description
LoD
LoD
LoD
LoD
LoD
LoD
LoD
LoD
LoD
LoD
LoD
LoD





Threshold: 6K; 4K; 10K
Well 77
Well 78
Well 79
Well 80
Well 81
Well 82
Well 83
Well 84
Well 85
Well 86
Well 87
Well 88


614D-SE-S1-RE1.4
2706
2104
2870
3725
4289
4027
3342
3156
3265
2343
3175
4059


614G-SE-S1-RE1.4
1711
1502
1344
2229
1739
1900
1758
1791
1595
1154
2043
2621


614U-SE-S1-RE1.1
4927
4992
3914
5663
7510
7646
5182
4995
5502
4124
6109
8547


62-Negcont-B
869
1174
3551
2318
3
298
1737
1479
1561
1242
1181
3322


InfA.7.univ-pubRev
−97
−55
1234
827
675
600
728
447
399
61
1440
342


InfB.8.univ-pub
171
74
258
573
90
59
196
−290
94
184
31
472


RNAse.P.Probe-pub1.1
62233
62560
61052
62383
64039
63991
62844
62609
62597
63192
61990
62505


SARS.COV2-N1-pub
44165
47728
50017
48117
59064
55916
49944
50132
47374
48650
46566
53293


SARS.COV2-N1-RE1.1
34365
39082
35650
39708
41211
39946
40245
39444
38059
40858
38973
40578


SARS.COV2-N2-RE1.3
14193
17099
17656
17698
20779
20034
22299
20606
20893
20264
23322
29091


SARS.COV2-N2-RE1.4
45517
45484
47099
48945
46318
46005
47927
49480
47143
47961
49109
52795


SARS.COV2-N3-RE1.1
49069
46998
49050
50124
50115
47555
47408
46946
46820
46577
49863
54869
















TABLE 48







96-Well Mini-RV analysis of positive clinical isolates for optimized manual hybridization-wash

























Threshold:
614D-
614G-
614U-
62-










DetectX
Cycle
Well
6K; 4K;
SE-S1-
SE-S1-
SE-S1-
Negcont-
InfA.7.univ-
InfB.8.unvi-
RNAse.P.Probe-
SARS.COV2-
SARS.COV2-
SARS.COV2-
SARS.COV2-
SARS.COV2-


RV Call
number
description
10K
RE1.4
RE1.4
RE1.1
B
pubRev
pub
pub1.1
N1-pub
N1-RE1.1
N2-RE1.3
N2-RE1.4
N3-RE1.1

























+
14.46
217215
Well 1
10035
61638
62910
66
274
478
63613
63199
63343
62085
63263
63477


+
14.06
217372
Well 2
8625
61438
63436
1
112
538
64162
63751
63894
55180
63719
63939


+
13.75
214495
Well 3
8788
56914
61021
862
78
6
61649
61309
61533
61277
61269
61502


+
14.43
217142
Well 4
11462
60770
62023
1203
−140
215
62686
62416
62557
62247
62278
62474


+
14.93
215025
Well 5
9763
56460
61720
1261
67
576
62411
62047
62251
62019
62101
62303


+
15.97
217179
Well 6
6412
51400
61943
780
581
75
62684
62266
62478
62202
62244
62471


+
16
216036
Well 7
7039
47960
60133
325
864
−388
60847
60465
60691
60479
60617
60719


+
15.72
216106
Well 8
7966
54076
61563
2049
725
−220
62314
61917
62146
61836
61828
62130


+
15.85
216019
Well 9
6044
43578
63518
273
73
610
52569
63846
63859
60277
63700
63833


+
15.07
216052
Well 10
9204
59996
63589
−2
458
761
46378
63902
63996
51748
63771
63995


+
27.5
217370
Well 11
1137
11291
38534
1553
595
−15
62525
61794
46992
36999
62044
62190


+
27.03
217358
Well 12
1798
4990
19265
1521
1130
−56
62947
50482
40029
16939
54703
47822


+
27.04
217213
Well 13
760
1314
1750
1460
1636
−4
62057
35143
18255
4099
20504
22385


+
24.09
217235
Well 14
3098
24720
49041
1445
1605
−29
63607
63324
61686
40548
63209
63376


+
20.27
217347
Well 15
3358
39157
61303
1795
1593
−137
62010
61660
61858
54570
61591
61736


+
22.07
217348
Well 16
3648
37331
61276
2420
947
−126
50836
61634
61836
54769
61566
61766


+
20.48
217354
Well 17
8164
23487
40566
1113
909
−26
63983
63320
41200
23301
53807
54707


+
19.25
217353
Well 18
5120
14394
35556
597
970
−22
63914
56749
41288
18293
47393
53551


+
15.63
217355
Well 19
18839
47553
62866
1317
637
−60
63679
63303
63441
44179
63217
63376


+
28.48
217351
Well 20
1242
1800
1873
4748
253
−73
63108
10421
7902
4135
7594
12818



31.03
217345
Well 21
795
693
1101
1171
360
−2
62688
3861
1476
1809
2671
6874


+
32.34
217217
Well 22
1515
1739
1601
5128
737
−99
63040
5924
8463
6573
3962
9896


+
30.53
217212
Well 23
1974
2027
2018
5598
1254
−118
62350
4926
15918
8517
5099
14687


+
31.74
217210
Well 24
1570
2371
1764
5923
596
−72
62685
7121
9032
4278
2747
10886


+
30.48
217344
Well 25
1161
1962
2068
−2
391
39
61127
14979
3692
4607
10158
15234



32.6
217357
Well 26
1314
1597
1148
269
513
−34
64223
6064
1614
739
681
4211


RERUN
31.92
217360
Well 27
1343
1577
1594
1022
1649
−63
62233
3443
543
1984
2478
12966



34.35
217356
Well 28
1202
1693
1303
1150
777
−22
62705
4624
1553
1222
1475
7812


+
30.68
216048
Well 29
1813
2761
5045
2341
−28
1070
62700
40330
27405
9906
38716
41757


+
32.13
216133
Well 30
1303
1478
1206
1034
179
148
62487
13099
5329
2873
4488
14454


RERUN

NTC
Well 31
2631
2882
2009
2602
2150
−186
9239
8657
3174
4261
3911
4639


RERUN

NTC
Well 32
2434
2264
2378
3401
173
1250
10046
12014
5307
1872
2373
14001



35-38
PATHO-
Well 33
1569
1612
1041
190
261
40
64285
5141
1001
623
667
3914




001



35-38
PATHO-
Well 34
1739
2030
1780
205
398
41
64356
5626
1421
773
826
4892




002



35-38
PATHO-
Well 35
2443
2198
2285
2040
226
477
63611
8989
4129
1945
2133
7773




003



35-38
PATHO-
Well 36
941
1715
1432
1600
−7
200
62691
6180
2343
979
1538
7221




004



35-38
PATHO-
Well 37
2494
2098
2725
2624
−70
1264
63406
10508
2972
2509
2572
3844




005



35-38
PATHQ-
Well 38
796
1355
1060
963
26
164
62341
6720
1623
1321
2536
2518




006



35-38
PATHO-
Well 39
667
882
839
1742
477
−80
61277
6390
2177
1536
1126
7985




007



35-38
PATHO-
Well 40
1391
1639
1533
2710
1518
−32
62185
8833
3855
1205
2320
5725




008



35-38
PATHO-
Well 41
948
1060
1448
220
−65
82
64297
5856
1408
866
533
2888




009



35-38
PATHO-
Well 42
605
743
1545
203
−7
236
64283
8904
2965
434
617
2671




010



35-38
PATHO-
Well 43
1832
2022
1629
1216
1509
10
64134
5137
2550
2887
3226
7911




011


RERUN
35-38
PATHO-
Well 44
1227
1462
1272
877
71
189
62543
5810
2272
1427
1625
10842




012



35-38
PATHO-
Well 45
2043
1352
1911
2236
285
551
63437
6049
2627
1618
2066
4860




013



35-38
PATHO-
Well 46
829
644
1069
1336
733
−3
62572
6931
2283
1343
832
5189




014



35-38
PATHO-
Well 47
1640
1926
2048
3313
−83
487
62492
10119
3367
1896
2308
8967




015



35-38
PATHO-
Well 48
1093
2411
2077
776
56
24
62954
10668
2808
3665
2195
8296




016



35-38
PATHO-
Well 49
1317
1804
1449
−33
295
92
64236
3815
833
339
636
2476




017



35-38
PATHO-
Well 50
1577
1816
1101
94
71
4
64248
5094
616
210
291
5302




018



35-38
PATHO-
Well 51
2254
2135
2227
1845
243
374
36197
2547
1754
1119
1453
2325




019



35-38
PATHO-
Well 52
1666
1623
1296
1139
473
−14
62468
4992
1357
1316
1201
5931




020



35-38
PATHO-
Well 53
2209
1908
2539
3050
−36
1320
62897
7549
3326
3254
3584
7887




021



35-38
PATHO-
Well 54
1557
1751
1673
1662
−15
642
62942
5376
2497
1772
1620
6507




022



35-38
PATHO-
Well 55
1528
2100
2186
1365
426
530
61442
6517
1688
1884
2119
5352




023


RERUN
35-38
PATHO-
Well 56
1917
6149
1831
2221
1138
113
62268
8961
2222
1791
2114
11168




024



35-38
PATHO-
Well 57
1496
1872
981
39
240
87
64177
10142
1925
887
1194
1388




025



35-38
PATHO-
Well 58
1546
1574
1300
39
85
215
63884
6738
1840
1148
1183
1935




026


RERUN
35-38
PATHO-
Well 59
1512
1127
1167
1331
121
20
62980
7125
3237
1984
2023
11533




027



35-38
PATHO-
Well 60
1343
1448
1500
909
132
178
62404
8100
2777
2587
986
9546




028


RERUN
35-38
PATHO-
Well 61
2429
2875
2672
1299
750
−58
63589
9074
2373
2259
2432
11583




029



35-38
PATHO-
Well 62
1993
1367
2048
1813
−16
1192
63575
8946
3262
3146
2223
8293




030


RERUN

NTC
Well 63
1742
1938
1771
917
1021
468
6875
12850
5624
1504
1747
11872


RERUN

NTC
Well 64
2740
2525
2529
1907
1542
−41
7237
15457
4113
2688
3144
19038


+

LoD
Well 65
3484
1642
6504
174
304
−19
64140
47158
30375
12315
41784
42343


+

LoD
Well 66
3245
1542
8639
236
756
8
63980
50266
38749
11772
43045
44361


+

LoD
Well 67
3556
1745
5886
1229
516
−35
63208
47720
38833
16989
45998
47653


+

LoD
Well 68
3327
1886
6293
1935
−250
285
62801
49275
39965
18934
48386
47233


+

LoD
Well 69
2871
2449
7253
1646
397
137
62778
48853
40642
22002
50500
50989


+

LoD
Well 70
2955
1759
5724
1417
578
−128
62654
46530
38697
18178
45570
45577


+

LoD
Well 71
3215
1776
6247
1720
−58
489
62379
47431
39535
20475
48290
51288


+

LoD
Well 72
4688
2333
9771
1462
1252
−186
62257
50286
38895
29839
52478
55057


+

LoD
Well 73
2376
1610
5196
−11
796
86
64023
51818
39039
17666
41701
44002


+

LoD
Well 74
3106
1892
4319
10
447
72
64035
50304
35832
10185
40695
43018


+

LoD
Well 75
3127
1186
5278
457
698
−61
62275
46915
37634
21361
49169
47688


+

LoD
Well 76
3608
2330
5000
1441
−8
106
62997
47317
37858
15242
46306
48393


+

LoD
Well 77
2706
1711
4927
869
−97
171
62233
44165
34365
14193
45517
49069


+

LoD
Well 78
2104
1502
4992
1174
−55
74
62560
47728
39082
17099
45484
46998


+

LoD
Well 79
2870
1344
3914
3551
1234
258
61052
50017
35650
17656
47099
49050


+

LoD
Well 80
3725
2229
5663
2318
827
573
62383
48117
39708
17698
48945
50124


+

LoD
Well 81
4289
1739
7510
3
675
90
64039
59064
41211
20779
46318
50115


+

LoD
Well 82
4027
1900
7646
298
600
59
63991
55916
39946
20034
46005
47555


+

LoD
Well 33
3342
1758
5182
1737
728
196
62844
49944
40245
22299
47927
47408


+

LoD
Well 84
3156
1791
4995
1479
447
−290
62609
50132
39444
20606
49480
46946


+

LoD
Well 85
3265
1595
5502
1561
399
94
62597
47374
38059
20893
47143
46820


+

LoD
Well 86
2343
1154
4124
1242
61
184
63192
48650
40858
20264
47961
46577


+

LoD
Well 87
3175
2043
6109
1181
1440
31
61990
46566
38973
23322
49109
49863


+

LoD
Well 88
4059
2621
8547
3322
342
472
62505
53293
40578
29091
52795
54869




Empty
Well 89
1039
549
1173
461
−6
679
5670
9646
1322
864
1030
873





Well 90
1768
2246
2237
−11
709
233
8598
16006
4014
973
1306
9239


RERUN


Well 91
1499
696
1323
1346
−113
275
11659
15042
3282
3908
2298
11617





Well 92
1206
1493
1182
837
84
5
4996
10852
4432
1429
1082
3273





Well 93
2039
1451
2308
2237
45
961
6829
11735
3323
2362
1734
2942





Well 94
1394
1811
1402
1262
202
228
6505
9046
2507
1511
1043
3843


+


Well 95
1397
1315
1064
1532
128
339
6512
12167
4989
6348
2609
19776





Well 96
877
1388
1448
1569
948
−143
3207
5496
1436
2221
4107
3768









Clinical Isolates. TriCore NP Positive and Negative. Analysis of clinical samples showed 91% specificity and 100% selectivity (N1, N2, N3, P) (Tables 48 and 49). Three false Negatives were found to coincide with clinical samples with Cq>30.









TABLE 49







Analysis of clinical isolates


























(a)
(b)
(c)
(d)










Standard

Standard
True
False
False
True


Probe
Average
deviation
Average
deviation
posi-
posi-
nega-
nega-


Sensi-
Speci-


name
positives
positives
negatives
negatives
tive
tive
tive
tive
LoB
LoD
tivity
ficity
PPV
NPV
























RNase P
61474
4084
62272
5002
30
0
0
30
70501
14045
100
100
100
100


N1
38209
26123
2317
871
30
0
3
30
3749
46351
91
100
100
91


N21.3
31303
25588
1624
882
30
0
3
30
3075
44666
91
100
100
91


N21.4
39763
27126
1672
827
30
0
3
30
3033
46831
91
100
100
91


N3
42311
24102
6224
3041
30
0
3
30
11226
47045
91
100
100
91


Overall
N/A
N/A
N/A
N/A
30
0
3
30
N/A
N/A
91
100
100
91


Call









Example 25

Well-to-Well Cross Contamination in Mini-RV Workflow


To test the potential of cross contamination of the negative sample wells with the positive samples various checkerboard patterns were tested in the Min-RV 96-well workflow. The goals of these experiments were:






    • 1. Measure the rate of well-to-well transfer of high copy number positive samples into negatives.

    • 2. Quantitate the baseline cross contamination rate due to well-well transfer during processing.

    • 3. Perform a full workflow (Zymo→Asymmetric One-Step RT-PCR→Hybridization/Wash→Sensovation 96-well imaging) in 96-well format.

    • 4. Testing of positive and negative samples were performed in a checkerboard pattern.

    • 5. Measure rate of well-to-well transfer during manual and automated (Tecan) workflows.





Four different checkerboard patterns were tested in duplicate (8×96 data points) for pooled positive Boca NP swab samples (in VTM) extracted on the Tecan robot. Table 50 shows the four checkerboard patterns used with the positive wells shown in bold numerals. Tables 51 and 52 show the full representative data sets for Checkerboard patterns 2 and 3. These data revealed no well-to-well cross contamination across all 8 sets of experiments (602 negatives) and are summarized in Table 53.









TABLE 50





Checkerboard pattern for testing well-to-well


cross contamination in Mini-RV workflow
















Checkerboard 1
24 Positive Samples





















1
2
3
4
5
6
7
8
9
10
11
12
One Step PCR


























A
1
9
17
25
33
41
49
57
65
73
81
89
Reagent
1X
100X


B
2
10
18
26
34
42
50
58
66
74
82
90
Master Mix
25 μL
2500 μL


C
3
11
19
27
35
43
51
59
67
75
83
91
Primer
 2 μL
 200 μL


D
4
12
20
28
36
44
52
60
68
76
84
92
AMV
 1 μL
 100 μL


E
5
13
21
29
37
45
53
61
69
77
85
93
H2O
17 μL
1700 μL


F
6
14
22
30
38
46
54
62
70
78
86
94


G
7
15
23
31
39
47
55
63
71
79
87
95


H
8
16
24
32
40
48
56
64
72
80
88
96











Checkerboard 2
16 Positive Samples





















1
2
3
4
5
6
7
8
9
10
11
12
One Step PCR


























A
1
9
17
25
33
41
49
57
65
73
81
89
Reagent
1X
100X


B
2
10
18
26
34
42
50
58
66
74
82
90
Master Mix
25 μL
2500 μL


C
3
11
19
27
35
43
51
59
67
75
83
91
Primer
 2 μL
 200 μL


D
4
12
20
28
36
44
52
60
68
76
84
92
AMV
 1 μL
 100 μL


F
5
13
21
29
37
45
53
61
69
77
85
93
H2O
17 μL
1700 μL


H
6
14
22
30
38
46
54
62
70
78
86
94


G
7
15
23
31
39
47
55
63
71
79
87
95


H
8
16
24
32
40
48
56
64
72
80
88
96











Checkerboard 3
25 Positive Samples





















1
2
3
4
5
6
7
8
9
10
11
12
One Step PCR


























A
1
9
17
25
33
41
49
57
65
73
81
89
Reagent
1X
100X


B
2
10
18
26
34
42
50
58
66
74
82
90
Master Mix
25 μL
2500 μL


C
3
11
19
27
35
43
51
59
67
75
83
91
Primer
 2 μL
 200 μL


D
4
12
20
28
36
44
52
60
68
76
84
92
AMV
 1 μL
 100 μL


E
5
13
21
29
37
45
53
61
69
77
85
93
H2O
17 μL
1700 μL


F
6
14
22
30
38
46
54
62
70
78
86
94


G
7
15
23
31
39
47
55
63
71
79
87
95


H
8
16
24
32
40
48
56
64
72
80
88
96











Checkerboard 4
18 Positive Samples





















1
2
3
4
5
6
7
8
9
10
11
12
One Step PCR


























A
1
9
17
25
33
41
49
57
65
73
81
89
Reagent
1X
100X


B
2
10
18
26
34
42
50
58
66
74
82
90
Master Mix
25 μL
2500 μL


C
3
11
19
27
35
43
51
59
67
75
83
91
Primer
 2 μL
 200 μL


D
4
12
20
28
36
44
52
60
68
76
84
92
AMV
 1 μL
 100 μL


L
5
13
21
29
37
45
53
61
69
77
85
93
H2O
17 μL
1700 μL


F
6
14
22
30
38
46
54
62
70
78
86
94


G
7
15
23
31
39
47
55
63
71
79
87
95


H
8
16
24
32
40
48
56
64
72
80
88
96
















TABLE 51







Representative data set for Checkerboard pattern# 2





























614G-

614D-

614U-


62-




Well
InfA.7.iniv-
No
RNAse.P.Probe-
No
SARS.COV2-
SE-S1-
SARS.COV2-
SE-S1-
SARS.COV2-
SE-S1-
SARS.COV2-
SARS.COV2-
Negcont-
InfB.8.univ-


Sample
#
pubRev
Print
pub1.1
Print
N3-RE1.1
RE1.4
N2-RE1.4
RE1.4
N2-RE1.3
RE1.1
N1-RE1.1
N1-pub
B
pub

























NEG
1
118
−1907
4432
−1859
12122
1340
913
1859
1134
1494
3369
9755
214
−60.5


NEG
2
23
−1350
5391
−1408
7426
2019
1119
2185
1397
1896
3678
10620
1090
58.75


NEG
3
571
−1824
4933
−1917
2562
1124
1081
910
1049
1209
1361
11603
511
−53.25


NEG
4
−3
−1362
3733
−1439
3123
1721
1887
1830
3201
1523
4720
13574
1016
14.25


NEG
5
366
−4043
2532
−4034
9973
382
68
626
1503
201
2485
6281
346
453.75


NEG
6
1573
−2715
4594
−2703
10370
1677
436
1924
921
1401
4064
12580
534
214


NEG
7
−86
−2370
4989
−2334
9584
2481
1855
2236
2724
1781
4468
12617
2261
793


NEG
8
−43
−2237
4110
−2678
1691
2455
895
2188
1482
1906
4293
12503
2121
358


NEG
9
−22
−1295
3486
−1315
10057
2141
1130
4581
1609
2337
5131
15599
921
394


+
10
5
−1458
36946
−1510
20840
1621
18838
1565
7516
1389
20043
34141
753
262


NEG
11
−15
−1951
3076
−1888
3325
1711
1667
1729
1688
1309
1797
7597
680
85


+
12
287
−2069
29118
−2017
15066
1903
14995
1650
4842
1464
15588
31436
493
−70


NEG
13
7
−3019
5728
−3004
3425
1044
3326
1628
2192
984
2308
12208
199
100


+
14
−260
−2710
26602
−2687
19669
1493
18300
1964
6869
1767
10794
24673
2078
840


NEG
15
204
−3033
5242
−3027
141
1668
548
1650
1500
1154
2847
12344
291
149


+
16
26
−2918
17040
−2969
20502
1801
16373
1488
5982
1319
7165
19803
1945
127


NEG
17
−15
−1188
3356
−1184
2912
1587
704
1746
1117
1677
2913
12075
695
252


NEG
18
−39
−1541
2954
−1494
575
1200
567
1039
792
963
2978
4303
481
113


NEG
19
94
−1541
4230
−1524
3397
2298
1087
2451
1292
2099
4463
13335
1007
212


NEG
20
−94
−1351
3758
−1393
5250
1549
917
1413
1127
1319
2996
11174
518
127


NEG
21
914
−2729
4694
−2723
3664
1398
2122
1471
2993
1058
3944
14906
626
9


NEG
22
−125
−2539
3382
−2440
835
1291
2838
1572
4581
1023
2253
8777
748
173


NEG
23
−349
−2850
2377
−2791
7492
1064
743
1094
3007
779
3002
13335
345
200


NEG
24
−49
−2710
5214
−2712
8411
806
690
970
3096
698
2242
10423
461
335


NEG
25
166
−2030
1783
−2001
5722
656
1793
2145
1732
1196
4159
12296
490
27


NEG
26
−93
−1227
2955
−1226
545
1705
500
1693
533
1386
2010
8115
369
599


NEG
27
−11
−1759
2986
−1780
9535
1390
921
1589
2893
1289
4595
10959
221
151


NEG
28
−11
−1450
4041
−1408
7221
1651
396
1746
1028
1307
2177
8574
241
213


NEG
29
319
−3344
4139
−3389
−8
1394
218
1981
1852
948
3068
12062
1042
537


NEG
30
67
−3059
4797
−3050
315
1224
303
1696
784
1045
3080
12023
392
651


NEG
31
60
−3720
5904
−3643
6836
1203
1238
1456
3556
702
2760
14284
771
73


NEG
32
−18
−2875
2786
−2788
106
1219
2148
1199
5673
754
3668
16084
483
338


+
33
−3
−1123
22244
−1072
13071
1586
12327
1455
5153
1472
10072
22841
683
173


NEG
34
−25
−1253
4395
−1299
6322
1350
2043
1327
4391
1286
3653
10387
654
72


+
35
22
−1336
21314
−1359
14531
1633
16323
1647
5435
1151
9588
20000
575
54


NEG
36
449
−1624
3231
−1676
1318
2056
1780
2170
4173
1784
2999
8572
478
9


+
37
−251
−1984
22828
−1941
14254
2536
11441
2600
4341
2318
7794
18638
1215
857


NEG
38
−39
−2819
4467
−2798
171
962
2205
1516
1519
1061
2693
10641
2270
235


+
39
−178
−2456
37117
−2498
24316
2106
13960
1802
4836
1589
12824
32203
849
692


NEG
40
−51
−2019
3588
−2086
4616
2362
1295
2547
1929
1783
3219
10379
2937
1208


NEG
41
−59
−1251
2833
−1255
757
1522
586
1499
2320
1458
2348
9343
518
119


NEG
42
−21
−1314
3870
−1355
5794
1478
2373
1313
2868
1329
4271
8439
728
277


NEG
43
−12
−1438
4139
−1378
2315
1253
373
1270
630
943
3449
10383
244
293


NEG
44
−34
−1433
3208
−1362
5800
1440
4640
1458
934
1436
1976
7530
527
652


NEG
45
62
−2446
3407
−2448
4137
1401
3987
1350
5072
990
2032
8129
567
133


NEG
46
−174
−2355
9551
−2386
5179
1872
1875
2308
2945
1471
3349
9783
1453
827


NEG
47
675
−2771
2271
−2834
6312
719
274
595
1203
784
3382
9207
534
220


NEG
48
85
−2636
2591
−2679
−36
1164
1009
1048
1374
904
2275
9122
789
225


NEG
49
−154
−1511
3073
−1370
3192
1384
896
1288
1821
1371
3681
9941
258
313


NEG
50
−7
−1119
3379
−1209
2876
1720
1435
1560
1417
1496
2272
10181
653
318


NEG
51
156
−2002
3021
−2001
2784
1209
6834
1208
5231
1037
3602
10629
262
−36


NEG
52
2
−1603
3891
−1578
5283
1285
288
910
473
1345
2754
8469
170
166


NEG
53
1212
−3493
2878
−3543
12708
1065
1314
169
1678
491
526
6014
1980
1366


NEG
54
90
−2658
2792
−2738
4064
1372
203
1654
823
841
4521
11224
141
707


NEG
55
−91
−3323
9352
−3391
1560
1926
1638
1901
1983
1071
3306
14560
1585
149


NEG
56
−30
−2234
3919
−2976
12009
1393
225
1136
769
896
3732
10164
1164
138


NEG
57
−16
−1545
3351
−1453
12146
1646
1159
1191
859
1361
3959
12784
357
23


+
58
−4
−1596
21193
−1547
16615
1258
10103
1161
3517
1449
12028
26975
363
52


NEG
59
123
−1337
3298
−1375
10052
1315
636
1349
865
1580
4346
10190
558
−71


+
60
−13
−1451
18003
−1185
8505
1591
8500
1550
3338
1212
7833
20392
471
140


NEG
61
279
−2906
5274
−2948
4098
1100
592
1335
1356
1292
1826
9222
429
159


+
62
215
−3052
19537
−3092
11803
1487
7647
1524
3250
902
4874
15940
1263
422


NEG
63
−68
−2820
7514
−2866
5668
2126
4590
2470
1868
1188
3032
9546
949
220


+
64
157
−2904
14972
−2926
23291
1518
11144
1757
5401
1117
11756
29368
2146
−67


NEG
65
54
−1218
2857
−1184
448
1168
174
1197
406
1091
3082
9216
458
8


NEG
66
−16
−1285
3554
−1298
829
931
1802
835
1395
1134
5479
12094
516
327


NEG
67
−105
−1581
3410
−1600
8279
1723
897
1592
750
1463
3181
9593
639
365


NEG
68
−39
−1137
2967
−461
760
1467
1125
1587
1507
1319
1325
3297
709
657


NEG
69
892
−1735
4661
−1721
3944
2460
1529
2356
2076
1941
2461
11216
1083
−20


NEG
70
−172
−1878
4205
−1893
12119
2309
1757
2110
2314
1801
3204
6008
1748
943


NEG
71
−192
−2011
3670
−2041
6645
2042
2569
2222
2255
1762
4453
11224
1461
648


NEG
72
87
−2408
2435
−2521
1437
812
2047
975
4517
537
3967
10082
638
51


NEG
73
319
−1746
3599
−1751
7396
777
1262
1029
1638
961
2657
7523
74
53


NEG
74
167
−1339
2771
−1316
1807
1660
400
1424
537
1282
3325
10597
160
23


NEG
75
397
−1919
3632
−1942
7432
1319
546
1343
632
1062
2824
9477
−39
84


NEG
76
−65
−1086
4935
−1071
3671
2555
1382
2699
1995
2184
3287
9538
997
643


NEG
77
316
−3781
5274
−3797
2848
388
1823
772
3108
963
2140
9579
714
818


NEG
78
84
−2608
5373
−2713
4091
1963
2572
2032
2917
1213
2804
11688
647
279


NEG
79
1001
−2924
6070
−3082
2303
1790
2039
1422
2987
1073
2297
12577
911
−87


NEG
80
−98
−2394
2761
−2261
3315
1918
665
2058
1220
1146
2066
6489
1212
354


+
81
545
−1241
24720
−1241
17022
1472
11744
1459
4644
1219
11442
25290
528
−29


NEG
82
19
−1278
3589
−1348
2778
1612
275
1188
578
1246
4609
12546
455
208


+
83
−62
−1242
29074
−1262
120212
2033
14068
2166
5615
2468
15913
30687
470
62


NEG
84
−20
−1119
4985
−1131
5181
1569
460
1786
1228
1605
2737
11813
726
420


+
85
560
−2495
36659
−2403
28652
1583
26129
2239
8269
1398
17519
35422
75
524


NEG
86
81
−3062
5006
−3089
3827
1265
66
1616
759
1117
1725
11119
1286
138


+
87
−326
−2297
33766
−2324
27195
1945
22834
1847
11494
1412
19936
36119
960
367


NEG
88
64
−2818
5515
−2627
3917
1707
907
1556
2269
1284
3106
15116
2282
−15


NEG
89
355
−1388
5759
−1362
649
1433
402
1298
879
1282
2622
11517
500
−51


NEG
90
−54
−1246
3419
−1287
4018
1343
1634
1297
2191
991
3350
11644
385
492


NEG
91
21
−934
3586
−943
4550
1743
1288
1551
2834
1586
2604
6778
554
27


NEG
92
195
−1361
4460
−1260
4451
706
842
909
1186
1381
3600
8615
493
154


NEG
93
−39
−2069
3075
−1989
12896
1105
1856
1832
4240
1700
4397
10498
788
623


NEG
94
−189
−2084
4572
−2169
1273
1184
886
1290
1293
942
4445
12232
746
297


NEG
95
−43
−1962
2353
−1971
6754
1755
1027
1807
1802
1490
2793
10460
1168
305


NEG
96
211
−2411
3321
−2449
633
1257
1940
1411
4380
1362
4077
11616
584
45
















TABLE 52







Representative data set for Checkerboard pattern# 3





























614G-

614D-

614U-


62-




Well
InfA.7.univ-
No
RNAse.P.Probe-
No
SARS.COV2-
SE-S1-
SARS.COV2-
SE-S1-
SARS.COV2-
SE-S1-
SARS.COV2-
SARS.COV2-
Negcont-
InfB.8.univ-


Sample
#
pubRev
Print
pub1.1
Print
N3-RE1.1
RE1.4
N2-RE1.4
RE1.4
N2-RE1.3
RE1.1
N1-RE1.1
N1-pub
B
pub

























+
1
−145
−1347
13513
−1273
11552
1560
12396
2134
4859
1561
9479
22501
1008
309


NEG
2
2766
−882
3165
−852
3560
1628
751
1594
902
1235
2750
12791
157
−12


NEG
3
9
−1774
4377
−1733
667
1913
548
2041
1175
1460
4903
12923
715
81


+
4
11
−1288
18587
−1368
6454
1372
9753
1613
4169
1613
9425
18071
311
113


NEG
5
41
−2969
3941
−2868
45
1835
632
1572
2223
1508
3099
13406
1425
85


NEG
6
−6
−2250
3571
−2271
12648
1369
1189
1698
3266
1121
5306
15088
832
46


NEG
7
−203
−2909
3938
−2789
846
2835
1939
2641
3441
2066
4737
14011
2974
625


+
8
−96
−2252
25352
−2267
11733
1449
12305
1947
7464
1758
13782
25693
1596
546


NEG
9
16
−1396
3533
−1387
3274
1820
1681
1689
3315
1305
3511
12867
822
181


+
10
21
−1003
25979
−1049
14030
1823
12938
2368
4919
2312
10684
22896
731
71


NEG
11
16
−1525
2710
−1536
6160
1330
773
1540
1438
1269
2732
9330
843
215


NEG
12
−35
−1715
2541
−1667
1076
1911
847
1831
1242
1748
3936
9460
1797
63


NEG
13
407
−2261
3216
−2258
1248
2013
1088
1817
2047
1260
5101
15333
634
51


NEG
14
25
−2492
4125
−2524
2217
1151
173
1701
1368
1414
3699
9857
1890
286


+
15
126
−2361
38860
−2304
32693
1758
34169
2216
13289
1722
28227
40198
647
85


NEG
16
?38
−2019
3917
−2001
1111
1408
−83
2009
2624
1924
3857
11013
2076
640


NEG
17
5
−1278
3845
−1308
1361
1195
337
1401
1437
1445
4135
11629
680
47


NEG
18
32
−1393
3169
−1409
2383
1167
1352
1315
2067
1240
4458
11356
463
153


+
19
32
−1492
25184
−1402
13261
1198
13348
1395
4601
1440
9350
23518
677
14


NEG
20
−22
−1314
3346
−1336
1862
1341
989
1098
1944
1255
3932
10956
737
441


NEG
21
−245
−1707
2937
−1700
1224
1820
2415
1639
3156
1780
2874
10312
1119
335


+
22
−128
−2271
25983
−2171
16445
1741
18779
1628
7542
1925
11633
26389
1945
296


NEG
23
11
−2297
4221
−2277
2769
1321
142
1212
1656
1109
3992
9252
944
747


NEG
24
80
−2388
4253
−2353
3295
1292
87
797
1726
1237
4851
12835
1302
603


NEG
25
−15
−1961
3215
−1960
248
761
1357
1127
4518
669
4749
11845
95
489


NEG
26
167
−1332
3245
−1480
705
1375
194
1535
270
1132
1854
9174
56
−6


NEG
27
45
−1738
3201
−1716
2231
1240
493
1414
2531
1320
4036
15147
250
10


+
28
−9
−1339
13102
−1379
5357
1416
5263
1515
2952
1349
5422
14555
420
205


NEG
29
−7
−3055
5616
−3061
8413
2409
1801
2010
3168
1808
3138
11740
2868
782


NEG
30
44
−2729
4512
−2673
4608
1632
200
1678
1982
1174
4201
11540
499
39


NEG
31
172
−3557
4239
−3131
3112
2352
−5
2259
1827
1529
3834
11775
2611
250


+
32
28
−2707
31840
−2635
13702
1874
19138
1450
8440
898
16093
32257
604
155


NEG
33
−38
−1223
3240
−1268
4222
1057
455
1182
432
987
2577
7125
420
528


NEG
34
33
−1412
3563
−1490
1066
1108
96
1067
373
907
3877
9215
203
129


NEG
35
−26
−1441
3076
−1485
2518
1598
503
1432
935
1112
2903
10539
666
86


NEG
36
−26
−1489
2841
−1474
2981
1452
817
1392
1396
1591
2977
9879
555
310


+
37
−42
−2611
14747
−2496
18927
1470
7935
1371
3939
1343
8192
18537
274
155


NEG
38
10
−2615
4039
−2734
1142
783
73
1218
1810
984
2956
8002
1112
160


NEG
39
84
−2543
2745
−2541
272
1939
227
2267
2080
1103
2592
14261
665
434


NEG
40
−32
−2639
3798
−2675
718
1332
873
2099
4887
1305
3930
11612
1690
533


NEG
41
10
−1177
2797
−1151
2445
1438
754
1224
904
1196
2186
6180
544
−54


NEG
42
42
−1096
2637
−1143
751
1385
560
1192
767
1307
2987
7288
633
436


+
43
747
−1520
19273
−1469
9631
1544
10717
1549
4542
1739
8797
17595
959
56


NEG
44
−117
−1717
2698
−1623
1254
1044
367
1277
1017
1086
1519
5525
628
416


NEG
45
495
−1727
2935
−1766
2195
1999
1773
1752
3412
1607
3647
8520
806
169


+
46
−348
−1791
24816
−1770
14867
2509
15026
2130
5967
2176
9030
19347
1584
614


NEG
47
−113
−2044
4076
−1789
3977
3511
2553
3199
3015
2668
3722
8044
2173
913


NEG
48
65
−2745
2638
−2994
8603
818
689
840
4999
459
3683
8515
688
72


NEG
49
9
−1374
2610
−1434
3297
747
371
1250
1475
1154
2079
6407
543
198


+
50
87
−1488
21434
−1588
11066
1175
10325
565
5222
1412
12167
26093
85
56


NEG
51
133
−1734
2250
−1809
1037
1034
22
1119
546
853
2677
7378
345
28


NEG
52
−124
−1525
2035
−1531
1662
1560
652
1666
3295
1304
2536
6944
488
238


NEG
53
−65
−3628
2709
−3661
2327
902
730
1034
1161
798
1696
6693
173
185


NEG
54
−170
−2115
3168
−2085
1475
2465
2174
3223
2197
2875
3130
9902
1847
1018


+
55
−55
−2428
18535
−2501
5147
2273
7791
2450
4658
1888
5871
13814
1827
973


NEG
56
834
−2289
2946
−2293
2633
2110
−454
2466
1452
1207
4380
11465
1176
785


+
57
165
−1263
12569
−1301
13662
1140
9272
1002
4419
1257
9722
18937
376
−61


NEG
58
205
−1246
2901
−1251
2153
1191
505
1076
3265
984
1804
6497
394
45


NEG
59
10
−1354
3013
−1366
1729
1192
3107
1498
1368
1073
2443
5677
325
125


+
60
−101
−1068
8987
−1165
4430
1932
6573
1612
3908
1895
7573
14010
851
885


NEG
61
−126
−1901
2632
−1946
517
1323
159
1475
1657
1310
2365
7134
477
333


NEG
62
664
−2451
2219
−2472
1783
1614
334
1549
3134
1730
3060
8111
1173
386


NEG
63
−19
−2174
3240
−2137
700
2672
543
1789
2708
1550
3599
8336
824
1155


+
64
14
−2512
16859
−2438
4932
2028
10263
1962
6662
998
15475
29930
1799
323


NEG
65
50
−1545
3136
−1126
1829
1120
376
1209
1077
1192
3484
7877
414
40


NEG
66
−8
−1238
2665
−1210
1673
1161
404
929
642
1118
2097
5971
247
289


+
67
321
−1214
14727
−1217
5624
1390
7049
1639
3302
1567
8403
18913
658
−31


NEG
68
55
−1161
2521
−1194
2944
1630
569
1227
678
1111
2998
6709
234
156


NEG
69
374
−1941
2697
−1992
1095
1366
−67
1472
1244
1185
2579
13838
576
82


NEG
70
37
−2400
3026
−2448
1389
1287
867
852
3758
1430
2911
9277
561
291


+
71
−138
−2553
20514
−2593
6508
1335
12211
1052
5686
883
15055
31208
397
161


NEG
72
216
−2252
3174
−2168
−66
1971
564
1303
2897
1497
5934
9809
1740
710


NEG
73
190
−1550
2717
−1677
3094
1033
49
857
580
775
1522
8566
330
5


+
74
153
−884
14993
−872
8301
1246
6437
1320
3428
1174
8230
18240
328
−35


NEG
75
534
−1736
2617
−1710
1856
1032
100
1172
802
812
6401
12795
199
19


NEG
76
22
−1268
2237
−1298
2637
1398
261
1224
2744
1449
2199
5421
202
553


NEG
77
−41
−2503
2987
−2625
1892
1632
472
1711
2117
1139
2312
5170
1441
270


+
78
−224
−1808
31837
−1772
15165
2148
15265
2648
5991
3746
14104
28376
970
545


NEG
79
−61
−1767
2893
−1892
2702
2355
413
2411
2861
1465
3160
7311
1575
691


NEG
80
−111
−1849
2025
−1891
830
1391
979
1395
1883
1285
3178
6344
889
528


NEG
81
−83
−1320
3112
−1397
3628
1132
517
1219
675
990
2943
7512
485
94


NEG
82
107
−1386
3660
−1418
4359
1407
1674
1466
1386
1173
2486
8965
361
139


NEG
83
617
−1309
3033
−1263
1347
1322
189
1301
673
1096
2929
6760
427
15


NEG
84
−184
−1158
2819
−1157
1921
1103
953
1274
2668
1508
2107
5202
561
219


+
85
1034
−2012
27788
−1967
17653
1170
17719
1586
7198
2980
14960
29760
157
66


NEG
86
1218
−2373
4368
−2280
510
1083
2564
1558
5268
869
2567
8793
1312
8


NEG
87
302
−1949
2976
−1868
834
3039
183
3533
2648
2412
4472
8238
932
694


+
88
−383
−1983
36246
−1988
14961
2030
19467
2355
10461
2474
23545
36200
2543
626


NEG
89
14
−1011
2460
−778
3793
1095
342
1089
1237
1477
2768
7072
490
67


NEG
30
164
−782
3460
−813
2387
1568
714
1138
1251
1010
2520
5202
426
−84


NEG
91
113
−1221
2598
−1134
2683
1365
982
1267
3620
1479
3474
7996
486
17


+
92
72
−858
18886
−869
8671
1180
9678
885
5339
1339
11890
26105
422
25


NEG
93
−91
−1607
2637
−1504
542
1063
1226
1584
3335
1207
3071
7377
929
179


NEG
94
27
−1525
3170
−1571
1585
837
244
1388
1048
1085
2830
6893
671
466


+
95
13
−1313
14643
−1451
3177
1266
6639
1455
5249
1489
5288
8768
1138
168


NEG
96
79
−1573
3658
−1590
2961
1076
306
1467
1412
1374
3785
6930
1911
156
















TABLE 53







Summary of checkerboard analysis for well-to-well cross contamination













# Positive
# Negative
# Positive
# Negative
Overall


Checker-
Samples
Samples
Samples
Samples
Call


board
Added
Added
Detected
Detected
(POS/NEG)















1.1
24
72
24
72
100%/100%


1.2
24
72
24
72
100%/100%


2.1
16
16
16
16
100%/100%


2.2
16
16
16
16
100%/100%


3.1
25
25
25
25
100%/100%


3.2
25
25
25
25
100%/100%


4.1
18
18
18
18
100%/100%


4.2
18
18
18
18
100%/100%










Increase Efficiency of Asymmetric One-Step RT-PCR Obtained at 39 PCR Cycles/Reaction


To reduce time needed to perform the assay, temperature and time parameters in the Asymmetric One-Step RT-PCR were varied. The general change in the method steps were as follows:

    • 1. Hold the total number of PCR cycles to <40, to minimize the perceived risk of false positives, which might occur during >40 cycles of endpoint PCR.
    • 2. Test the increase of Taq Polymerase 2× and 3× in the current Mini-RV Asymmetric One-Step RT-PCR master mix, to reduce product mediated polymerase inhibition at high cycle number.
    • 3. Test the effect of a 30% reduction of heat denaturation time in the PCR cycle (30 sec→20 sec) to reduce the thermal footprint accumulated by Taq over <40 cycles.
    • 4. Determine using the present Mini-RV Asymmetric One-Step RT-PCR Reaction, the effect of a 2× and 3× increase in [Taq] on analytical LoD and clinical sensitivity, as assessed by hybridization in the 96-Well format
    • 5. Determine using the present Mini-RV Asymmetric One-Step RT-PCR Reaction, the effect of a reduction of heat denaturation time from 30 sec to 20 sec on analytical LoD and clinical sensitivity, as assessed by hybridization in the 96-Well format.


A summary of 4 different RT-PCR reaction protocols is shown in Table 54. Results from these studies summarized in FIGS. 23A-23C show that the Asymmetric One-Step PCR reaction can accommodate an increase in temperature from 37° C. to 55° C. in the reverse transcription phase of the reaction, without significantly altering efficiency of the Asymmetric One-Step PCR, as assessed by hybridization analysis in the 96 well Mini-RV format. It was also established that at 55° C. reverse transcription time could be reduced from 45 min to 20 min and additionally, heat denaturation time (protocol D, step 3 Table 54) could be reduced from 30 sec to 20 sec with no loss of RT-PCR efficiency. Importantly, by deploying protocol D (Table 54) the total duration for completing of the Asymmetric One-Step RT-PCR is reduced to 2 hours (Reverse transcription time at 30 min+PCR time at 1.5 hours).


This modification to the protocol also has additional advantages. Increasing the reverse transcription temperature to 55° C. makes the protocol compatible with a concurrent Uracil-DNA Glycosylase enzyme (UNG, Cod UNG from ArticZymes Technologies) reaction (see below). Further, reducing the time for heat denaturation from 30 sec to 20 sec reduces the Taq Thermal footprint during the RT-PCR reaction.









TABLE 54





RT-PCR reaction protocols used to test potential reduction in assay time
















Protocol A
Protocol B


AccessQuick RT-PCR
AccessQuick RT-PCR















Temper-

Cy-

Temper-

Cy-














Steps
ature
Time
cles
Steps
ature
Time
cles



















1
45° C.
45
min
1
1
55° C.
45
min
1


2
94° C.
2
min
1
2
94° C.
2
min
1


3
94° C.
30
sec
39
3
94° C.
30
sec
39


4
55° C.
30
sec

4
55° C.
30
sec


5
68° C.
30
sec

5
68° C.
30
sec


6
68° C.
7
min
1
6
68° C.
7
min
1














7
 4° C.


7
 4° C.













Protocol C

Protocol D


AccessQuick RT-PCR

AccessQuick RT-PCR














Steps
Temperature
Time
Cycles
Steps
Temperature
Time
Cycles



















1
55° C.
20
min
1
1
55° C.
20
min
1


2
94° C.
2
min
1
2
94° C.
2
min
1


3
94° C.
30
sec
39
3
94° C.
20
sec
39


4
55° C.
30
sec

4
55° C.
30
sec


5
68° C.
30
sec

5
68° C.
30
sec


6
68° C.
7
min
1
6
68° C.
7
min
1














7
 4° C.


7
 4° C.











Mitigate Potential Assay Contamination Due to Low Copy Number RNA Sample Contamination by Ambient High Copy Number Amplicon Products from Previous Assays


Amplicon contamination has the undesired consequence of generating false positive results in the assay. This problem may be offset by the introduction of Uracil-DNA Glycosylase into the reverse transcription phase of the Asymmetric One-Step RT-PCR reaction. One of the requirements for using UNG is a reaction temperature of 55° C. As discussed above increasing the temperature from 37° C. to 55° C. during reverse transcription does not alter efficiency of the Asymmetric One-Step PCR (Table 54, FIGS. 23A-23C) thereby supporting a modified protocol where UNG and dUTP are introduced into the master mix. Cod UNG from ArticZymes Technologies is used for this purpose. The utility of UNG is established by testing the effect of 50% substitution of dTTP with dUTP and verifying no not significant alteration in analytical LoD occurs in the present Mini-RV workflow (Zymo)→Asymmetric One-Step RT-PCR→Hybridization/Wash→Sensovation (96-well imaging)


Validation of Higher Temperature Reverse Transcription for UNG Deployment


Further validation for employing a higher temperature for the reverse transcription was obtained using multiple clinical isolates (NP-VTM from TriCore) and contrived samples (in nasal fluid) titrated with gamma irradiated CoV-2 virion (BEI, 5,000 virion/ml to 500/ml).


Protocol:


Sample 1—Eight (8) Positive clinical samples.

    • NP/VTM (TriCore)→Ceres→RT-PCR→Hybridization (96-well)


Sample 2—Eight (8) Negative clinical samples.

    • NP/VTM (TriCore)→Ceres→RT-PCR→Hybridization (96-well)


Sample 3—Four (4) gamma irradiated virus (BEI). 5000, 1000, 500, 0 copies/mL

    • VTM+10% Nasal Fluid (Lee Bio)→Ceres→RT-PCR→Hybridization (96-well)


Three different RT-PCR conditions were tested with each of the above sample sets as shown in Table 55.









TABLE 55







RT-PCR conditions for testing UNG deployment









Condition 1
Condition 2
Condition 3


Standard reverse
High temperature reverse
High temperature reverse


transcription 45° C., 45 min
transcription 55° C., 45 min
transcription 55° C., 20 min


AccessQuick RT-PCR
AccessQuick RT-PCR
AccessQuick RT-PCR


parameters
parameters
parameters


















Steps
T (° C.)
Time
Cycles
Steps
T (° C.)
Time
Cycles
Steps
T (° C.)
Time
Cycles
























1
45
45
min
1
1
45
45
min
1
1
45
45
min
1


2
94
2
min
1
2
94
2
min
1
2
94
2
min
1


3
94
30
sec
40
3
94
30
sec
40
3
94
30
sec


4
55
30
sec

4
55
30
sec

4
55
30
sec
40


5
68
30
sec

5
68
30
sec

5
68
30
sec


6
68
7
min
1
6
68
7
min
1
6
68
7
min
1


















7
4


7
4


7
4










The data shown in Tables 56 and 57 confirms no change in N1 and N2 signals for these samples. Interestingly, the combination of 55° C. and a reduced, 20 min reverse transcription incubation step was statistically identical to 45° C. and 45 min, confirming that that the combined RT-PCR reaction can be performed about 25 min faster than the standard protocol.


Fine Tuning of Hybridization/Wash in 96-Well Format Using a Vibratory Plate Shaker


Using an on-board plate shaker permits fluid phase mixing and laminar flow over the array surface during ambient temperature hybridization and washing, which helps reduce by at least 30%, the number of hybridization/wash steps in 96-well format. Two experiments were performed to test this.









TABLE 56







Validation of higher temperature reverse transcription in TriCore samples












Condition 1
Condition 2
Condition 3
One-way
















SARS-COV2


Average
Standard
Average
Standard
Average
Standard
ANOVA


probe
Sample
Cq
RFU
deviation
RFU
deviation
RFU
deviation
p-value



















N1
TriCore
13.75-
31475
20498
30956
19613
29372
20289
0.97



Clinical
31.65



Positive



TriCore
>35
2312
2027
1469
795
698
659
0.07



Clinical



Positive


N2
TriCore
13.75-
41015
21583
41172
20199
39517
22069
0.99



Clinical
31.65



Positive



TriCore
>35
1638
559
7333
14980
790
373
0.28



Clinical



Positive
















TABLE 57







Validation of higher temperature reverse transcription in γ-irradiated virion samples













Gamma-







Irradiated
Condition 1
Condition 2
Condition 3
One-way















SARS-COV2
virions
Average
Standard
Average
Standard
Average
Standard
ANOVA


probe
copies/mL
RFU
deviation
RFU
deviation
RFU
deviation
p-value


















N1
5000
15776
7935
15411
9934
16783
9466
0.97



1000
5642
2357
2821
1215
4255
1341
0.12



500
3193
1132
3507
1633
2012
1728
0.38



0
2969
682
2466
1093
1043
444
O.QI


N2
5000
29720
11369
26923
13706
29065
11935
0.95



1000
7411
3740
3739
783
5349
1946
0.17



500
3603
966
3461
2418
2713
2961
0.84



0
1053
452
1483
474
594
596
0.1 









Experiment 1: To test the effect of shaking on signals, 24 pooled positive samples were prepared (Boca) and tested under 3 separate hybridization conditions as follows:

    • X1—Plate remains static for 30 min hybridization incubation period.
    • X2—Plate is shaken at 1000 RPM for 30 min hybridization incubation period.
    • X3—Hybridization cocktail is mixed by pipetting up and down during hybridization period.


      Results: Table 58 showed that condition X2 gave the highest average RFU across 8 wells on the appropriate probes, along with a lower standard deviation and lower background. These data reveal that shaking during hybridization improves signal strength when compared with the static hybridization method (X1) and the pipetting method (X3).









TABLE 58







Comparison of static, shaking and pipetting hybridization method











X1
X2
X3



Static Hybridization
Shake at 1000 RPM
Pipette to mix














Average

Average

Average




across
Std
across
Std
across
Std.



8 wells
Dev
8 wells
Dev
8 wells
Dev
















SARS.COV2-N2-RE1.3
45967
2155
58539
2053
34560
1229


SARS.COV2-N2-RE1.3
52055
3942
60242
337
36302
829


SARS.COV2-N2-RE1.2
40439
1415
45335
4543
21923
2807


SARS.COV2-N2-RE1.1
42262
3507
53268
6185
20897
7331


RNAse. P. Probe-pub 1.2
61403
467
60418
357
59383
431


RNAse. P. Probe-pub 1.1
61421
452
60426
364
58997
514


SARS.COV2-N3-RE1.3
57433
5118
59976
581
44605
1535


SARS.COV2-N1-RE1.2
33539
6896
46886
10031
27384
9464


SARS.COV2-N3-RE1.2
55612
5070
60166
431
40722
6945


SARS.COV2-N1-RE1.2
33665
5370
45564
7351
13312
11187


SARS.COV2-N1-RE1.1
61432
424
60437
360
58662
1715


SARS.COV2-N3-RE1.1
61293
423
60435
362
55161
3482


SARS.COV2-N1-RE1.1
61277
382
60297
407
58487
1519


62-Negcont-B
2266
818
4031
3155
2126
601


SARS.COV2-N3-RE1.1
60725
1117
60428
361
55329
4479









Experiment 2: RNA extracted (Zymo kit) from contrived samples (gamma irradiated cell lysates+nasal fluid in RNA Shield™ reagent (Zymo research) was used as the first sample at 0.4-40 copies per reaction. SARS-COV2 RNA was used as a second sample at 1-100 copies per reaction. RT-PCR parameters described in Protocol C (Table 54) was used.


Results. The data in FIGS. 24A-24C clearly show that mixing during the 30 min hybridization increases hybridization signal strength about 2-fold among all probes tested.


Evaluate Simplified Alternatives to Standard Magnetic Bead CoV-2 Purification from NP/VTM and Mouthwash


A CERES NANOTRAP (Ceres Nanosciences, Inc.) technology for RNA extraction was evaluated for reducing time and costs of raw sample processing over the Zymo Quick-DNA/RNA Viral technology.


Alternate methods for reducing assay time and costs during raw sample processing were tested including the CERES NANOTRAP (Ceres Nanosciences Inc.) and Chitosan Coated Magnetic Beads (Creative Diagnostics Inc). Specifically, compared to Zymo's Quick-DNA/RNA Viral method the CERES NANOTRAP method is 1.5 hours faster requiring ⅓rd of total manipulations, consumes 75% less consumables and may be automated for 96-well format.


Contrived NP/VTM Samples


A comparison between the Zymo method described earlier with the CERES NANOTRAP method was performed for contrived NP/VTM samples prepared by Emory (heat-killed Cov-2 virus from BEI, in VTM). The CERES NANOTRAP method (FIGS. 25-26) was deployed on the raw samples to yield a pellet that was heat lysed in 1% Triton-X-100 in Molecular Grade Water before direct use in Asymmetric One-Pot RT-PCR, followed by Mini-RV analysis in the 96-well format. The results of these experiments are shown in FIGS. 27A-27D, 28 and 29 and Tables 59-61.


Among all 3 SARS-CoV-2 probes tested, the sensitivity of the Mini-RV assay subsequent to CERES NANOTRAP is identical or superior to that obtained using Quick-DNA/RNA Viral method for sample processing.









TABLE 59







Average RFU from data shown in FIG. 29
















SARS.COV2-
SARS.COV2-
SARS.COV2-
614U-SE-
614D-SE-
614G-SE-



62-Negcont-B
N1-RE1.1
N2-RE1.4
N3-RE1.1
S1-RE1.1
S1-RE1.4
S1-RE1.4

















106
131
58313
57988
57999
58088
37984
3296


105
4071
48742
57533
57611
39089
23960
2242


104
887
33078
37461
47154
12553
4366
734


103
272
7420
6335
16416
2026
398
694


102
1410
2253
1335
8144
1066
263
408


10
525
684
727
9090
923
73
743


 0
1179
551
739
1140
918
335
643


OC43 1000
437
2266
773
2266
869
105
641


OC43 100
1413
1289
1863
1026
1026
489
246
















TABLE 60







Comparison of the Zymo and Ceres sample preparation methods
















SARS.COV2-
SARS.COV2-
SARS.COV2-
614U-SE-
614D-SE-
614G-SE-



62-Negcont-B
N1-RE1.1
N2-RE1.4
N3-RE1.1
S1-RE1.1
S1-RE1.4
S1-RE1.4










Zymo Quick-DNA/RNA Viral method














106
896
47139
55897
62143
29221
13325
2665


106
1808
55909
53708
62344
37797
25071
3751


105
1718
38649
40395
54269
10208
4424
1842


105
933
37272
31301
48548
10566
4974
2484


104
422
18915
17861
35288
3085
2238
1859


104
2252
16966
27864
37627
3640
3046
2473


103
1368
8840
11798
18995
2271
2212
2342


103
2011
8059
7444
18287
2686
2669
2196


103
1200
3244
5002
31634
3081
3001
2956


102
1103
3987
2694
3050
3334
1906
2574


102
17
3771
1605
4689
2369
3048
2785


102
3107
2520
682
15590
2718
1956
2204


10
740
1264
2803
3325
2386
2560
2530


10
4141
4491
2980
15011
4070
2541
3374


10
3089
4057
2924
12836
3333
3167
3355


 0
2456
3339
1624
4413
2635
2940
3001


 0
914
3445
1187
1317
1918
2325
2137


 0
1920
1901
2111
6152
2761
2728
2670


OC43
744
6579
2470
1897
2473
2319
2376


OC43
2584
1558
2255
2164
2635
2484
2735


OC43
2295
2754
1833
3665
2947
2237
2721


OC43
2547
3974
1783
1925
3200
2980
3131







CERES NANOTRAP method














106
250
57479
57171
57220
57289
38216
4936


106
11
59147
58805
58778
58886
37751
1656


105
6569
44814
57138
57290
37991
18235
2982


105
1573
52670
57929
57933
40187
29685
1501


104
−394
34067
37511
47610
12552
4869
1357


104
2167
32089
37411
46697
12553
3863
111


103
271
8264
5231
17420
2401
834
609


103
454
2721
3397
11240
1035
−169
839


103
91
11275
10378
20588
2643
529
633


102
1724
251
411
7294
739
236
189


102
1375
4602
852
7084
1664
513
747


102
1133
1907
2743
10052
794
39
289


10
591
1047
1535
7319
939
5
785


10
243
855
164
7037
788
66
716


10
741
148
480
12913
1042
149
729


 0
588
260
296
2093
577
160
801


 0
1248
982
679
241
1013
363
487


 0
1702
410
1243
1087
1165
482
643


OC43 1000
176
3011
888
3011
830
140
707


OC43 1000
698
1522
658
1522
909
70
575


OC43 100
2307
399
3585
967
967
44
86


OC43 100
520
2179
141
1086
1086
935
405
















TABLE 61







Comparison of the CERES NANOTRAP method for various sample inputs
















Well

SARS.COV2-
SARS.COV2-
SARS.COV2-
614U-SE-
614D-SE-
614G-SE-



number
62-Negcont-B
N1-RE1.1
N2-RE1.4
N3-RE1.1
S1-RE1.1
S1-RE1.4
S1-RE1.4










5 μL Input















104
Well 1
−394
34067
37511
47610
12552
4869
1357


104
Well 2
2167
32089
37411
46697
12553
3863
111


103
Well 3
271
8264
5231
17420
2401
834
609


103
Well 4
454
2721
3397
11240
1035
−169
839


102
Well 5
91
11275
10378
20588
2643
529
633


102
Well 6
1724
251
411
7294
739
236
189


102
Well 7
1375
4602
852
7084
1664
513
747


103
Well 8
1133
1907
2743
10052
794
39
289


10
Well 9
591
1047
1535
7319
939
5
785


10
Well 10
243
855
164
7037
788
66
716


10
Well 11
741
148
480
12913
1042
149
729


 0
Well 12
588
260
296
2093
577
160
801


 0
Well 13
1248
982
679
241
1013
363
487


 0
Well 14
1702
410
1243
1087
1165
482
643


OC43
Well 15
176
3011
888
3011
830
140
707


OC43
Well 16
698
1522
658
1522
909
70
575







10 μL Input















104
Well 25
508
31130
35936
36363
9159
1571
1


104
Well 26
96
28367
37529
37733
9360
2261
400


103
Well 27
801
11549
16029
23418
2364
234
579


103
Well 28
2517
6724
5685
11865
2251
751
915


102
Well 29
1399
9409
14780
27387
2622
1280
235


102
Well 30
91
660
1407
3042
472
279
491


102
Well 31
751
2155
1513
6435
696
346
221


103
Well 32
189
1490
1170
3681
1322
45
980


10
Well 33
1218
54
1215
4366
287
220
487


10
Well 34
1536
668
716
1044
904
30
509


10
Well 35
1325
1563
2139
7748
671
134
277


 0
Well 36
1054
284
636
5169
624
207
339


 0
Well 37
36
1423
1026
9562
1188
936
689


 0
Well 38
1135
747
1148
1345
994
303
407


OC43
Well 39
1053
1498
2731
932
692
342
373


OC43
Well 40
949
990
640
4995
712
303
200







15 μL Input















104
Well 41
713
31449
39029
44974
18520
4425
180


104
Well 42
624
33111
37242
40909
14729
3098
−22


103
Well 43
1110
14349
18064
28520
3414
106
−86


103
Well 44
1917
4070
7575
11626
2144
−53
668


103
Well 45
849
15887
18735
32519
3206
283
−50


102
Well 46
322
2366
1268
8336
952
75
514


102
Well 47
968
2696
3649
3395
1270
64
466


102
Well 48
1454
3282
3230
3102
1311
134
507


10
Well 49
1523
−93
2046
2658
725
745
1167


10
Well 50
1245
863
86
3717
1027
181
880


10
Well 51
805
1726
1070
10586
1637
459
265


 0
Well 52
981
189
1559
12322
622
856
781


 0
Well 53
561
1033
1240
2424
577
713
74


 0
Well 54
1942
81
29
2846
1613
1201
593


OC43
Well 55
217
1466
1025
3771
815
3
241


OC43
Well 56
918
−111
972
2819
1692
705
576










Clinical NP/VTM Samples


Clinical samples (positive and negative NP/VTM samples) previously characterized at TriCore via the Roche, Cobas 6800 SARS-CoV-2 platform, were analyzed to generate a 0-RT-PCR based Cq values for each clinical isolate. All samples were subjected to viral capture and enrichment using CERES NANOTRAP, followed by direct heat lysis of the resulting viral pellet in 1% Triton-X-100 as described above. The lysate (5 μL) from each of the 61 samples was used as input without additional purification, in the Asymmetric One-Step RT-PCR, followed by Mini-RV hybridization analysis. Two types of analysis were performed on the hybridization data.


Analysis 1. Hybridization signals (RFU) from all Mini-RV probes in the positive and negative TriCore samples was used to generate mean and standard deviation for the LOB, which was then used to determine the RFU threshold to be deployed in analysis of the samples. The Clinical and Laboratory Standards Institute (CLSI) standard was applied in threshold determination. To account for user differences, LoB was modified using the equation:

LoB=(3*Standard Deviation)+Average

Using this threshold value (Table 62), clinical sensitivity, and specificity, PPV and NPV were calculated for each probe in the Mini-RV test, and in turn for the overall call generated by AUGURY from those multiplex probe data (Table 62).


Analysis 2. To facilitate analysis of the relationship between Q-RT-PCR signal strength (Cq) and the Ceres+Mini-RV signal strength (RFU), the data from TriCore, NPN™ clinical positives was rank-ordered based on their Cobas Cq value—lowest Cq (highest viral load) at the top and highest Cq (lowest viral load) at the bottom (Table 63). Cq values from Roche Cobas 6800 for the negative samples is shown in Table 64.


Results


The data show 100% clinical sensitivity and clinical specificity (Table 62, bottom row). Highest affinity Mini-RV probes (SARS.COV2-N2-RE1.3 and SARS.COV2-N3-RE1.1) remained positive even in the highest Cq (lowest viral load) positive samples, producing clearly defined calls, throughout (Table 62, columns 7,9). Additionally, the relationship between Q-RT-PCR (Cq) values and RFU signals (Table 63) manifest in the comparison of high affinity versus medium affinity Mini-RV probes enables microarray-based quantitation of Cov-2 RNA load.









TABLE 62





One-Pot Bias Labeling RT-PCR-CERES NANOTRAP



















Threshold






62-Negcont-B
2309



RNAse.P.Probe-pub1.1
N/A



SARS.COV2-N1-RE1.1
2263



SARS.COV2-N2-RE1.3
2145



SARS.COV2-N2-RE1.4
2128



SARS.COV2-N3-RE1.1
5662



614U-SE-S1-RE1.1
1466



614D-SE-S1-RE1.4
N/A



614G-SE-S1-RE1.4
N/A




























(a)
(b)
(c)
(d)








Average
Standard
Average
Standard
True
False
False
True








Posi-
Devi-
Nega-
Devi-
Posi-
Posi-
Nega-
Nega-

Sensi-
Speci-





tives
ation
tives
ation
tive
tive
tives
tives
LoB
tivity
ficity
PPV
NPV





62-Negcont-B
543
361
853
485
30
0
0
31
1652
100
100
100
100


RNAse.P.Probe-pub1.1
54843
12349
35575
13431
30
0
0
31
N/A
100
100
100
100


SARS.COV2-N1-RE1.1
22384
23833
973
430
30
0
11
31
1680
74
100
100
74


SARS.COV2-N2-RE1.3
16605
18344
1268
292
30
0
1
31
1749
97
100
100
97


SARS.COV2-N2-RE1.4
25298
25435
615
504
30
0
11
31
1445
74
100
100
74


SARS.COV2-N3-RE1.1
36436
16105
2271
1131
30
0
0
31
4130
100
100
100
100


614U-SE-S1-RE1.1
16317
22839
569
299
30
0
15
31
1061
68
100
100
67


614D-SE-S1-RE1.4
877
701
428
344
30
0
N/A
31
 993
N/A
100
100
N/A


614G-SE-S1-RE1.4
8695
14376
474
324
30
0
N/A
31
1007
N/A
100
100
N/A


Overall Call
N/A
N/A
N/A
N/A
30
0
0
31
N/A
100
100
100
100
















TABLE 63







Analysis of clinical positive samples using CERES NANOTRAP + Mini-RV




















PDx













Over-
62-





614U-
614D-
614G-


Patient
Ct
all
Negcont-
RNAse.P.Probe-
SARS.COV2-
SARS.COV2-
SARS.COV2-
SARS.COV2-
SE-S1-
SE-S1-
SE-S1-


ID
Value
Call
B
pub1.1
N1-RE1.1
N2-RE1.3
N2-RE1.4
N3-RE1.1
RE1.1
RE1.4
RE1.4





















216708
16.3
+
1025
60184
60031
42974
59873
59842
57442
1564
34799


216005
17
+
532
61079
39962
14688
40212
39328
33600
412
7758


216002
17.6
+
382
60937
15357
2951
9051
15378
740
66
302


215989
18.8
+
1214
60636
60733
59869
60499
60580
60441
2790
43307


216565
19.4
+
791
61053
42644
35231
60325
47596
16915
466
4334


215997
19.5
+
791
60641
61080
57518
60766
60899
60772
2658
42760


215988
19.6
+
171
61208
13544
3714
15728
15301
1001
786
1069


215999
19.8
+
671
61032
60921
41919
60692
60753
55691
1458
35558


215992
20.5
+
335
60833
55607
38292
60412
60202
34336
1168
8008


215982
21.4
+
320
60990
34856
22652
42393
37004
7092
406
1875


215993
21.4
+
399
60757
26397
9905
36512
33408
3419
555
1149


215995
23.2
+
435
61025
9130
4462
8029
32541
314
563
837


216001
23.9
+
232
61511
469
1842
20
14758
98
361
512


215983
24.1
+
271
61561
40190
26371
50555
47049
39053
750
12218


216003
24.2
+
1372
52363
60745
49426
60579
60625
60468
2503
39610


215996
24.8
+
262
58165
11307
7098
22354
36237
4127
34
1227


215998
25.2
+
861
61126
60506
46522
60843
60913
60715
1435
37778


216701
25.9
+
−116
60209
41064
27185
49944
54044
37956
856
12876


216564
26.1
+
137
39263
21521
12341
36847
38661
7944
257
1981


216566
26.3
+
52
44491
29418
16484
36751
39826
11800
252
3070


216700
26.5
+
142
60946
31126
19117
41213
35461
10845
35
2391


215987
27
+
801
61899
−14
3017
584
15086
526
1259
1253


215994
29.2
+
741
39522
363
2949
862
35620
487
1253
970


216007
29.9
+
234
61208
138
2243
1357
16169
189
789
395


215991
30.7
+
828
43373
396
2761
638
34696
275
754
381


215986
30.9
+
759
60999
360
3427
1772
29400
567
953
2165


215984
32.1
+
560
16179
533
2968
752
37023
738
441
631


215990
33.4
+
662
38405
−36
5394
911
27314
711
1061
822


215981
34.3
+
1188
62578
−72
4987
1020
18036
972
1622
729


215985
34.5
+
552
14973
450
2849
34
41135
596
812
1066
















TABLE 64





Analysis of clinical negative samples using CERES NANOTRAP + Mini-RV





















Ct Value from
PDx Overall

RNAse.P.Probe-
SARS.COV2-


Patient ID
Roche Cobas 6800
Call
62-Negcont-B
pub1.1
N1-RE1.1





PATHO-001
T1 > 35; T2 > 38

1443
25554
1071


PATHO-002
T1 > 35; T2 > 38

528
23470
847


PATHO-003
T1 > 35; T2 > 38

728
41852
817


PATHO-004
T1 > 35; T2 > 38

303
43625
462


PATHO-005
T1 > 35; T2 > 38

725
54472
1205


PATHO-006
T1 > 35; T2 > 38

251
36887
683


PATHO-007
T1 > 35; T2 > 38

1307
60550
1313


PATHO-009
T1 > 35; T2 > 38

1291
24409
966


PATHO-010
T1 > 35; T2 > 38

718
36868
554


PATHO-011
T1 > 35; T2 > 38

862
37259
506


PATHO-012
T1 > 35; T2 > 38

152
14057
62


PATHO-013
T1 > 35; T2 > 38

1207
54393
884


PATHO-014
T1 > 35; T2 > 38

428
18317
852


PATHO-015
T1 > 35; T2 > 38

856
16642
983


PATHO-016
T1 > 35; T2 > 38

292
51315
962


PATHO-017
T1 > 35; T2 > 38

694
42375
453


PATHO-018
T1 > 35; T2 > 38

241
14001
265


PATHO-019
T1 > 35; T2 > 38

602
10226
905


PATHO-020
T1 > 35; T2 > 38

791
37377
817


PATHO-021
T1 > 35; T2 > 38

1352
55209
684


PATHO-022
T1 > 35; T2 > 38

1760
47587
1313


PATHO-023
T1 > 35; T2 > 38

1506
35160
1517


PATHO-024
T1 > 35; T2 > 38

529
21418
1064


PATHO-025
T1 > 35; T2 > 38

751
41096
2052


PATHO-026
T1 > 35; T2 > 38

647
35665
886


PATHO-027
T1 > 35; T2 > 38

718
40323
1532


PATHO-028
T1 > 35; T2 > 38

181
32818
849


PATHO-029
T1 > 35; T2 > 38

2028
39589
1361


PATHO-030
T1 > 35; T2 > 38

1135
25638
1223


LoB Threshold
N/A
N/A
2309
N/A
2263

















SARS.COV2-
SARS.COV2-
SARS.COV2-
614U-SE-
614D-SE-
614G-SE-


Patient ID
N2-RE1.3
N2-RE1.4
N3-RE1.1
S1-RE1.1
S1-RE1.4
S1-RE1.4





PATHO-001
1250
405
953
255
131
148


PATHO-002
759
−32
2755
450
215
191


PATHO-003
1111
417
3177
466
175
626


PATHO-004
1239
181
2498
181
197
338


PATHO-005
1220
1468
2247
503
603
479


PATHO-006
1167
457
1302
322
254
302


PATHO-007
546
668
3975
527
314
−10


PATHO-009
1323
24
1402
631
426
178


PATHO-010
1347
447
1961
282
409
348


PATHO-011
1640
661
2102
389
−13
163


PATHO-012
1036
167
857
512
221
165


PATHO-013
1303
379
2087
593
242
98


PATHO-014
1106
846
2416
425
475
65


PATHO-015
961
153
1857
257
38
220


PATHO-016
1639
963
4367
356
−24
473


PATHO-017
1182
8
1705
359
40
213


PATHO-018
938
197
125
436
23
267


PATHO-019
985
−4
614
707
116
275


PATHO-020
1113
291
2603
249
223
557


PATHO-021
1705
920
2657
1194
797
1051


PATHO-022
1772
2134
3656
1235
1011
863


PATHO-023
1726
742
3535
1095
782
780


PATHO-024
1268
1017
1666
447
338
459


PATHO-025
1171
408
819
575
889
1057


PATHO-026
1543
677
4850
573
839
742


PATHO-027
1440
941
2718
703
521
503


PATHO-028
1178
543
2412
403
436
579


PATHO-029
1248
1401
3490
524
1017
1135


PATHO-030
1634
781
1714
1206
1253
946


LoB Threshold
2145
2128
5662
1466
N/A
N/A









Example 26

Clinical Sensitivity and Specificity Using the CERES NANOTRAP Mini-RV Technology


The protocol used 200 μL of beads and elution in 100 μL of extraction buffer (0.5% TritonX-100 in water) and additionally, a wash step after the first pelleting step. Clinical sensitivity and specificity analysis of the CERES NANOTRAP Mini-RV technology using 30 Tricore (Cobas-Pos)


and 30 (Cobas-Neg) NP-VTM samples were 100% relative to the Cobas predicate. Probe threshold was calculated from LoB data obtained from the matched clinical negative samples using the formula:

Threshold=3×(STV)+Mean

where Mean is the Mean value of RFU signal and STV is one standard deviation about that mean.



FIGS. 30A-30D show the 30 “Cobas-Positive” TriCore samples arranged such that the apparent viral load decreases from left to right (lowest Cq value→highest Cq value). Thus, using the modified Ceres bead protocol, a signal/threshold ratio greater than 10 was obtained for all COVID-19 probes (N1, N2 and N3) in all of the 30 samples even at the Limit of Detection for the Cobas Assay (Cq values ˜35). The RFU signals obtained in these experiments provide support for using the CERES NANOTRAP Mini-RV technology even at the Cobas Limit of Detection (˜35) when pooled testing is desired.


LoD Analysis Using the CERES NANOTRAP Mini-RV Technology


In addition to clinical sensitivity and specificity analysis, determination of LoD in units of virions/ml, were performed using virus that were subjected to heat, radiative or chemical denaturation. On contrived samples distributed as PT standards (FDA's SARS-CoV-2 Reference Panel Comparative Data) the Roche Cobas Q-RT PCR assay delivered a LoD of 1,800 copies/mL Thus, all 30 positive clinical samples studied here (TriCore, with Cobas Predicate) are expected to contain >1,800 copies/mL


As shown in FIGS. 31A-31C, using the same procedural improvements deployed with the TriCore clinical samples the Signal/Threshold values and the resulting LoD values obtained in the contrived samples were somewhat lower than would be expected from the clinical isolates. The improvements made to the CERES NANOTRAP Mini-RV protocol suggest a LoD in the 500 copies/mL range. To further refine the LoD to harmonize with the clinical results (Roche Cobas LoD 1800 copies/mL), modifications were done to the protocol as follows:


Experiment 1

A finer dilution of the heat inactivated SARS-CoV-2 in VTM was tested at 5000, 3000, 2000, 1000 and 500 copies/mL (N=6 for each concentration). The samples were prepared in 500 μL of VTM and processed using the Ceres protocol with a final elution/lysis volume of 100 μL. The results showed 100% detection capability down to 500 copies/mL for N1 and N2, whereas a high background and variability for the N3 probe (FIGS. 32A-32E).


Experiment 2

Based on the result from Experiment 1 above, additional LoD experiments were performed with increased sample number towards obtaining 95% positive results at 500 copies/mL. For this purpose, three sets of LoD samples were created at 3000, 1000, 500, 300, and 0 cp/mL (N=20 each) in VTM. Additionally, fresh vial of SARS-CoV-2 heat inactivated virus was used and prepared in VTM containing 10% glycerol prior to diluting to the concentrations tested. The results in FIGS. 33A-33B, demonstrate the ability of this method to yield an LoD at or just below 500 cp/mL. At 3000 cp/mL, the RFU values are closer to that observed with clinical samples. It is clear from this experiment that improper storage and/or degradation of the virus through multiple freeze thaws is a key contributor to LoD values obtained.


Experiment 3

In the last experiment the hypothesis that freeze thaws might impact the background signal was tested. A large, pooled sample was created in which heat inactivated SARS-CoV-2 virus was diluted into VTM at 5000 cp/mL. The samples were aliquoted and stored at −80, −20, 4, and room temperature for 72 hours. The samples were then thawed or removed from the refrigerator and prepared using the CERES NANOTRAP beads followed by the DETECTX-RV protocol. No differences in background or signal strength were observed due to the different storage conditions or freeze thaws (FIG. 34).


Example 27

LoD Analysis of the CERES NANOTRAP Mini-RV Technology Pairing with Heat-Denatured CoV-2 (BEI) in VTM.


The clinical and LoD results presented in the previous example demonstrated excellent sensitivity and specificity and an LoD at or below 500 copies/mL. In addition, it was noted that there was variability in the baseline signal for the N3 probe. To further refine the protocol, pooling studies were undertaken and additionally, the platform was evaluated for multiplexed detection of Influenza A and B.


Experiment 1: A fully automated Ceres run was performed on the Tecan EVO150. In order to evaluate the run a checkerboard pattern (FIG. 35) was created and in the asterisked wells was added, clinical negative sample spiked with 25000 or 5000 copies/mL of irradiated SARS-CoV-2. This analysis revealed that 97% of the wells were called correctly, with two negative samples called as positive, and one positive sample called as negative.


Experiment 2: Three different lots of SARS-CoV-2 viral material (heat inactivated and gamma irradiated) were tested under different storage conditions (Table 65). A dilution from 30,000 to 1.000 copies/mL was used for each source material. The results shown in Table 65 demonstrate that absence of 10% glycerol displayed the lowest overall RFU and poor LoD followed by the heat inactivated virus stored in 10% glycerol. The best performing material was gamma irradiated lysates, which exhibited strong RFU signals down to 1000 copies/mL.









TABLE 65







Comparison of cell lysates under different storage conditions









Heat inactivated cell lysate
Heat inactivated cell lysate 10% glycerol
Gamma-irradiated cell lysate



















RNAase
SARS
SARS

RNAase
SARS
SARS

RNAase
SARS
SARS


copies/
P Probe
COV-2
COV-2
copies/
P Probe
COV-2
COV-2
copies/
P Probe
COV-2
COV-2


mL
pub1.1
N1 RE1.1*
N2 RE1.4
mL
pub1.1
N1 RE1.1*
N2 RE1.4
mL
pub1.1
N1 RE1.1*
N2 RE1.4






















47318
12381
27959

57261
26168
39634

54384
33810
46348


30K 
48826
8368
41434
30K 
56497
25473
41102
30K 
54294
29690
48684



55016
11608
26506

55182
23042
50369

57171
33843
47384



56838
1374
1548

59248
7759
12921

58174
11137
25297


3K
51094
3531
2543
3K
53062
6307
8648
3K
58564
15688
28588



58134
3110
5744

50181
6059
7683

57006
12938
26804



56519
1058
7254

58584
2940
3386

48008
11141
20910


1K
52534
2503
764
1K
53593
7365
3611
1K
57634
9339
13513



56423
1449
1229

53792
4577
4903

51369
10479
13458





*Threshold = 2190;



threshold = 3292;



RFU > LoD






Experiment 3: To evaluate the ability to pool using the CERES NANOTRAP beads a series of positive samples with Ct values ranging from ˜15 to ˜35 by 5 Ct values was evaluated in relation to pooling 4 and/or 8 samples. To create the pooled samples, 100 μL of each sample was combined into a single tube such that, for example, a pool of 4 samples has a final volume of 400 μL. To each of the pooled samples was added 200 μL of CERES NANOTRAP beads and the pooled sample eluted into 100 μL of lysis buffer.


The results from this analysis demonstrate that with a pooling size of 4 or 8 samples with a Ct value of ˜30 is detectable (Table 66). The RFU values for that sample demonstrate linearity from the sample alone (˜10.000 RFU), 4:1 (˜5,000 RFU), and 8:1 (˜2500 RFU) starting at a Ct value of ˜25.









TABLE 66







Pooling studies using CERES NANOTRAP Mini-RV technology











Roche Cobas






reported
Positive

SARS
SARS


Ct value
sample ID and

COV-2
COV-2


(Tg1/Tg2)
pooling dilution
RNAse P
N1-RE1.1*
N2-RE1.4














34.32/34.17
432-Alone
60203
3836
890



432-4:1
59900
2873
673



432-8:1
60406
2162
782


28.71/29.6
415-alone
56995
9245
10540



415-4:1
60307
4530
5339



415-8:1
60175
3349
2238


25.76/26.7
412-alone
54171
14150
34450



412-4:1
59797
20210
30751



412-8:1
60698
8566
9658


19.19/19.8
418-Alone
59683
50496
59140



418-4:1
59425
51793
58919



418-8:1
60371
46331
59888


17.27/17.42
425-Alone
42238
52803
58829



425-4:1
44192
40680
59106



425-8:1
52430
38046
59696





*Threshold = 2190;



Threshold = 3292







Experiment 4: To evaluate the ability of including Influenza A and B in the multiplexed array, the PCR conditions were modified to accommodate the incorporation of UNG. A comparison of the current room temperature (RT) condition at 45° to the 55°—conditions needed for UNG denaturation is shown in Table 67. The data shows that the change from 45° to 55° increases the RFU signals at the lower concentration without any adversely impacting signal strength. An LoD of 100 copies/mL was obtained using gRNA on the Zymo platform.


Experiment 5: Next, to test specificity of the platform for Influenza A and B, a series of samples were extracted using both Zymo and Ceres protocols. The samples were acquired through TriCore and were tested using the Respiratory Virus Panel by Real Time PCR (BioFire Diagnostics) with an LoD ˜300 copies/mL for Influenza A (RESPAN). The results of this analysis shown in Table 68 demonstrate specificity within the assay. Table 69 shows that the CERES NANOTRAP beads capture/lysis/analysis protocol described above for CoV-2 (0.5 ml VTM+0.2 ml Ceres, magnetic bead isolation, elution & lysis in 0.1 ml) may also be adopted for detecting InfB signals on clinical positives that were greater than 8× the threshold obtained from matched clinical negatives.









TABLE 67







Effect of reverse transcription temperature on sensitivity and specificity















Influenza A, B
Influenza A, B
Influenza A, B
Clinical
Clinical
CoV gRNA



Slide 9985
1000 copies/reaction
500 copies/reaction
100 copies/reaction
infA-3b*
infA-4b*
500
NTC§












45° C., 45 min reverse transcription














62-Negcont-B
613
533
978
2637
1617
1882
894


614D-SE-S1-RE1.4
554
454
245
1891
1345
22838
1033


614G-SE-S1-RE1.4
−10
694
265
1653
1285
1755
1043


614U-SE-S1-RE1.4
509
462
885
1482
1309
36490
1092


InfA 7 univ-pubRev
44122
24795
7297
62387
1104
64
225


InfB 8 univ-pub
40626
39582
33881
−110
−55
341
48


RNAase P Probe pub1.1
3321
4166
4439
62073
61697
5298
5635


SARS COV-2 N1 pub
6505
9633
557
6352
6829
61851
13421


SARS COV-2 N1 RE1.1
1481
4342
6254
4504
3610
53173
5376


SARS COV-2 N2 RE1.3
2704
1561
1553
2671
2975
35840
1697


SARS COV-2 N2 RE1.4
2577
724
201
2180
2353
61274
1053


SARS COV-2 N3 RE1.1
4765
4570
4981
8193
7288
61356
15052









55° C., 45 min reverse transcription














62-Negcont-B
579
1776
724
2108
1395
3633
1514


614D-SE-S1-RE1.4
220
211
292
1851
845
19490
631


614G-SE-S1-RE1.4
15
303
329
1542
458
2052
865


614U-SE-S1-RE1.4
658
708
985
1832
945
31619
1267


InfA 7 univ-pubRev
43972
41491
20854
59646
9286
9
135


InfB 8 univ-pub
44453
41012
36009
−180
40
633
323


RNAase P Probe pub1.1
3410
3336
5745
62270
60936
5770
2321


SARS COV-2 N1 pub
21951
12594
16458
6847
5066
62714
10895


SARS COV-2 N1 RE1.1
5450
8669
7638
5278
3115
58984
7296


SARS COV-2 N2 RE1.3
1184
2624
1899
3336
2358
37323
5356


SARS COV-2 N2 RE1.4
854
1955
1028
2480
2591
61442
2524


SARS COV-2 N3 RE1.1
5053
5609
11129
4300
9510
62109
13624





*confirmed clinical samples extracted using Zymo;



SARS CoV-2 RNA;




§no template control














TABLE 68





Specificity of the platform for Influenza A for samples extracted by Zymo and Ceres methods
















Slide- 9982
Extraction - Zymo InfA
















Sample
infA-1
infA-2
infA-3
infA-4
infA-5
infA-6
infA-7
infA-8
NTC§





62-Negcont-B
4178
 3748
2392
2296
2934
1393
2108
1395
3$69


RNAase P Probe pub1.1
62228
61848
54868
3069
61894
60′7S6
622′70
61i936
2498


SAPS COV-2 N1 RE1.1
3843
 2145
584
6524
291
1685
 527$
3115
5155


SARS COV-2 N2 RE1.4
1791
 1734
1055
957
1068
313
2480
2591
991


SARS COV-2 N3 RE1.1
6005
 $635
~IOS
2633
6139
3593
4300
9510
7727


InfA 7 univ-pubRev
4389
 2106
54328
236
50269
61072
59646 
92$6
−185


InfB 8 univ-pub
−15
  398
255
118
366
787
−180
 40
397











Slide 9987
Extraction -Ceres InfA















Sample
Cr-infA-1
Cr-infA-2
Cr-infA-3
Cr-infA-4
Cr-infA-5
Cr-infA-6
NTC§
NTC§





62-Negcont-B
514
536
623
605
622
459
592
630


RNAase P Probe pub1.1
40667
30593
42960
41415
42819
43331
280
464


SARS COV-2 N1 RE1.1
1435
742
1020
677
887
1003
1609
1516


SARS COV-2 N2 RE1.4
1919
1993
1207
1614
1936
1520
1056
1326


SARS COV-2 N3 RE1.1
2852
2671
4168
3650
3114
3232
2122
3885


InfA 7 univ-pubRev
21474
4.3408
13709
−73
85
38326
−132
−308


InfA 7 univ-RE1.1
17678
43457
20880
604
519
39903
−85
158


InfA SE-PR99524
17321
45435
19193
592
1267
41711
778
295


InfA SE-PR99525
11668
38574
10048
141
1141
35424
551
252


InfB 8 univ-pub
−188
−212
−71
−346
−5
−290
60
−292






§no template control














TABLE 69





Specificity of the platform for Influenza B for samples extracted by Zymo and Ceres methods

















Slide- 9982
Extraction - Zymo InfA

















Sample
infB-1
infB-2
infB-3
infB-4
infB-5
infB-6
infB-7
infB-8
NTC§





62-Negcont-B
4268
3341
2339
4421
3565
5347
2409
1589
3869


RNAase P Probe pub1.1
1273
8010
59917
54383
61210
41002
60997
39722
2498


SARS COV-2 N1 RE1.1
1972
6733
3342
1125
469
8875
6118
10978
5155


SARS COV-2 N2 RE1.4
1147
1727
1460
1434
2191
5331
1452
3346
991


SARS COV-2 N3 RE1.1
1686
2440
7031
4604
6266
10289
6596
8030
7727


InfA 7 univ-pubRev
−16
−94
658
555
340
32
8100
11431
−185


InfB 8 univ-pub
37775
763
10304
30340
36467
12787
13859
10563
397











Slide 9987
Extraction -Ceres InfB















Sample
Cr-infB-1
Cr-infB-2
Cr-infB-3
Cr-infB-4
Cr-infB-5
Cr-infB-6
NTC§
NTC§





62-Negcont-B
213
234
344
723
545
410
592
630


RNAase P Probe pub1.1
681
35042
46145
40655
22259
40078
280
464


SARS COV-2 N1 RE1.1
1125
864
942
624
866
827
1609
1516


SARS COV-2 N2 RE1.4
1474
1039
1268
455
1504
1421
1056
1326


SARS COV-2 N3 RE1.1
2275
1895
3001
2639
3131
2982
2722
3885


InfA 7 univ-pubRev
−263
−117
−165
−88
37
−19
−132
−308


Infb 8 univ-PUB
209
12948
28137
23356
18372
12004
60
−292


InfB SE-PR99519
1532
14837
28237
25538
16526
16402
875
401


InfB SE-PR99520
1447
11975
17636
15775
14112
12413
916
485






§no template control







Example 28

Threshold Determination for the Ceres-DETECTX-RV Combination.


Repeat measurements (n=72) from a single pooled clinical negative sample (50 mls, TriCore NP-VTM) using the Ceres processing protocol and DETECTX-RV analysis were performed as 72 independent 0.5 ml Ceres extractions. The experiments were performed on multiple days over 2 weeks, followed by Ceres processing, RT-PCR and analysis in a 96-well format for N1 and N2 CoV-2 markers.


Clinical Matrix Samples for Threshold Analysis protocol:






    • 1. Clinical matrix=TriCore negative clinical samples (NP-VTM, Cobas 6800)

    • 2. 200 μL Ceres beads were added to 500 μL of Contrived Clinical Matrix (N=10)

    • 3. Samples were shaken for 10 mins.

    • 4. Quick spin was performed before adding samples to a magnetic plate and removing supernatant.

    • 5. 100 μL of 0.5% TritonX-100 was added to the samples.

    • 6. Samples were shaken for 2 mins followed by heating at 95° C. for 10 mins.

    • 7. Samples were centrifuged briefly before adding to magnetic plate.

    • 8. Eluate was transferred to a PCR plate for storage.

    • 8. Samples were run using standard RT-PCR cycling parameters.

    • 9. Hybridization and Washing steps were performed in 96-well format.

    • 10. Steps 1-9 were repeated for multiple days.

    • 11. The threshold was calculated using the formula; Threshold=3×STD+RFU (blank)


      Results:





The data in Table 70 reveals a defined average with no drift in threshold values over the 5 repeat measurements. The analysis also revealed the presence of occasional outliers—e.g. day 19 for N2 and day 22 for N1 (FIG. 36), which shift the local average for these days. These outliers can be readily eliminated by adding a bead washing step in the above protocol to remove residual binding buffer.


Example 29

Optimization for Respiratory Syncytial Virus (RSV)


In continuation of the in silico analysis of RSV described in Example 16, primer and microarray testing was performed. Table 71 summarizes the results from an analytical sensitivity dilution series—purified human RSV-B gRNA (BEI) diluted to 1000, 100 and 10 genome copies/PCR reaction. The data demonstrates excellent specificity with no measurable signal detected above background for either of the two RSV-A probes tested in the array (HSV-A, RE1.1, 1.2). The data also demonstrate excellent sensitivity for detection of N1 and N2 above a threshold defined by the (0) genome copy control down to 10 copies/reaction.









TABLE 70







Summary of threshold analysis for clinical matrix samples













Probe
Day 1
Day 5
Day 6
Day 11
Day 14
ALL

















N1
Threshold
2258 
2190
4783
1845 
6021
4721



Average
958
813
1739
674
2062
1434



Standard
406
430
 951
366
1237
1027



Deviation









95% CI
759-1157
625-1002
1079-2398
420-927 
1633-2490
1215-1654


N2
Threshold
2469 
3292
8081
2662 
1496
3950



Average
846
1457
1949
880
 227
 870



Standard
507
573
1916
557
 397
 962



Deviation









95% CI
597-1094
1206-1709 
 622-3277
494-1266
 89-364
 664-1076









Example 30

Concurrent Microarray Analysis of Virus, Bacteria and Fungus


The method of detecting RNA virus comprises the following steps:

    • 1) Recovery of viral RNA by capture of the virus from a fluid sample (analyte) by pipetting or centrifugation or binding of the pathogen to a solid phase such as an appropriate magnetic bead or column, followed by lysis of the captured pathogen and then in some cases additional purification of RNA from the virus by silica-based boom chemistry as routinely deployed in magnetic beads or columns.
    • 2) RT-PCR of the viral RNA recovered, to generate PCR amplified cDNA amplicons that are further amplified using a suitable set of fluorescently labeled primers specific for the cDNA amplicons to obtain fluorescently labeled amplicons suitable for microarray hybridization.
    • 3) Microarray hybridization of the resulting RT-PCR amplified DNA amplicons.
    • 4) Analysis of the microarray hybridization patterns to detect the presence of viral analytes of interest.









TABLE 71







RSV specificity and sensitivity analysis









PCR machine










2720 (Applied Biosystem)
Veriti (Applied Biosystem)












HRSV (copies/reaction)

HRSV (copies/reaction)

















1000
100
10
NTC
1000
100
10
NTC


Sample
Well 34
Weil 35
Well 36
Well 40
Well 66
Well 67
Well 68
Well 72


















614D-SE-S1-RE1.4
40
78
47
148
4
109
15
130


614D-SE-S1-RE1.5
3102
2391
3710
2908
3466
2215
2018
3123


614D-SE-S1-RE1.7
2974
2466
2705
3233
3279
2417
2226
3176


614G-SE-S1-RE1.4
230
−114
22
1
−43
−73
48
176


614G-SE-S1-RE1.5
2451
1890
2060
2328
3030
1605
1933
2419


614G-SE-S1-RE1.7
3380
2288
2185
2464
2595
2284
2215
2900


614U-SE-S1-RE1.1
−59
12
−50
176
−45
−45
−47
89


614U-SE-S1-RE1.8
2625
1858
2225
2817
2672
1996
1911
2572


614U-SE-S1-RE1.9
2399
1254
1684
1325
1360
896
854
1152


62-Negcont-B
76
113
−41
229
180
97
168
227


HRSV.A_RE 1.1
1889
519
1633
733
1673
8259
522
599


HRSV.A_RE 1.2
4043
3541
1073
3375
1995
1032
522
830


HRSV.B_RE 1.1
63637
63891
20038
1903
63641
49478
6709
858


HRSV.B_RE 1.2
63582
56338
13683
1880
63564
42073
5470
1294


HRSV.B_RE 1.3
63497
63732
38712
693
63404
54081
7533
582


HRSV.B_RE 1.4
63512
63045
35071
836
63430
50738
4357
622


InfA.7.univ-pubFwd
1306
1313
1301
1586
683
1115
681
1241


InfA.7.univ-pubRev
−154
−133
−235
−25
−199
−76
−81
−30


InfA.7.univ-RE1.1
−230
44
−32
−138
687
−56
−52
127


infA-AS-PR99526
1128
874
990
924
566
618
546
759


infA-SE-PR99524
785
852
180
678
305
429
415
315


infA-SE-PR99525
856
252
297
189
215
340
78
14


InfB.8.univ-pub
−162
−111
200
454
−248
73
−37
121


infB-SE-PR99519
1123
338
1273
305
739
287
384
89


infB-SE-PR99520
999
660
1048
626
776
491
586
442


RNAse.P.Probe-pub1.1
−209
−210
−197
−100
−125
−159
−122
794


SARS.CoV1-N2-RE1.3
1497
1525
1392
1599
1534
921
993
1427


SARS.CoV1-N2-RE1.6
2986
1649
1643
1930
2896
1253
1335
1461


SARS.COV2-N1-pub
19
85
42
215
−142
117
−3
153


SARS.COV2-N1-RE1.1
979
579
810
1479
911
1155
546
1656


SARS.CoV2-N2-RE1.12
2285
1645
1214
1146
2165
1031
2004
1067


SARS.COV2-N2-RE1.4
1863
617
799
1000
947
504
385
98


SARS.COV2-N3-RE1.1
1004
804
1046
1002
1008
573
556
488









The above method is extended to include DNA-containing pathogens including, DNA viruses, bacteria and fungus known to cause respiratory disease by accommodating capture and analysis of both RNA-containing and DNA-containing pathogens. Such a method comprises the following steps:

    • 1) Use methods such as pipetting and centrifugation among others to capture concurrently, RNA viruses, DNA viruses, bacteria and fungus resident in the same clinical or environmental sample. Subsequent methods of lysis are then employed to enable concurrent lysis of all of the captured pathogens. Additional purification steps such as, silica-based boom chemistry as routinely deployed in magnetic beads or columns enables concurrent capture and purification of RNA and DNA from these pathogens.
    • 2) Use of an appropriate panel of PCR primers enables reverse transcription of viral RNA to obtain cDNA followed by PCR amplification to concurrently amplify in the same reaction (single assay), cDNA and DNA from DNA viruses, bacteria and fungus to yield a set of amplicons that are further amplified using a suitable set of fluorescently labeled primers specific for each pathogen being queried to obtain fluorescently labeled amplicons suitable for microarray hybridization.
    • 3) Concurrent microarray hybridization of the resulting fluorescent amplicons on the same microarray enables their analysis.
    • 4). Analysis of the microarray hybridization patterns obtained is then used to concurrently detect in the same assay, presence of any or all of pathogens in a sample.


      Conclusion


Rapid detection of respiratory disease-causing viruses including COVID-19 virus, other coronaviruses, Influenza A virus, Influenza B virus, RSV-A and RSV-B are crucial to controlling the COVID-19 pandemic. However, it is well known that there are other DNA containing respiratory disease-causing pathogens including DNA viruses like adenovirus and bacterial pathogens such as Mycobacterium tuberculosis and Streptococcus pneumoniae. The microarray-based detection methods described here are readily adaptable and extendable to detection of these DNA containing respiratory disease pathogens as well in a single assay. This is beneficial since it enables streamlined detection of COVID-19 virus concurrently with other respiratory disease pathogens.


Example 31

Clinical Validation of Influenza AB Analysis


Experiment 1: LoD studies in contrived clinical negative samples (NP-VTM, TriCore) were performed using inactivated flu virus (ATCC, InFA (H1NI), and InFB (Hong Kong)). Particle density in the ATCC samples was measured in infectious units via PFU assay (i.e. CEID50/ml) which is approximately equal to particles/mL. In all cases, viral capture with Ceres beads was performed on the flu virus, followed by lysis and amplification of the lysate with the complete One Step RT-PCR master mix comprising the full N1, N2, N3, P, InFA, InFB multiplex described in previous reports. Hybridization was obtained in the 96-well format.


Protocol:

    • 1. Dilutions of Inf A (H1N1) and Inf B (Hong Kong) were made in clinical matrix (VTM+negative clinical sample) as shown in Table 72.
    • 2. Add 200 μL Ceres beads to 500 μL sample. Shake for 10 mins.
    • 3. Place sample on magnetic stand to collect beads and remove supernatant.
    • 4. All 200 μL PBS to sample and shake for 2 mins. Remove supernatant.
    • 5. Add 100 μL lysis buffer to the sample. Shake for 2 mins.
    • 6. Heat samples at 95° C. for 10 mins.
    • 7. Place sample on magnetic stand to collect beads.
    • 8. Transfer RNA from tube to PCR plate for storage until use.
    • 9. PCR parameters: 55° C., 20 min (1 cycle); 94° C., 2 min (1 cycle); 94° C., 30 sec, 55° C., 30 sec, 68° C., 30 sec (40 cycles); 68° C., 7 min, (1 cycle); 4° C., ∞









TABLE 72







Protocol for clinical validation of Influenza A and Influenza B












Dilution
[Stock]
[Final]
Stock volume
Diluent
Total volume


Factor
(CEID50/mL)
(CEID50/mL)
(μL)
(μL)
(μL)










Influenza A- HIN1 NR-2555 Lot 4771527 (1.6 × 108 CEID50/mL)












100.00
1.60 × 108
1.60 × 106
5
495
500


32.00
1.60 × 106
5.00 × 104
16
484
500


50.00
5.00 × 104
1000
116
5684
5800


1.33
1000
750
3375
1125
4500


1.50
750
500
2000
1000
3000


5.00
500
100
500
2000
2500







Influenza B Hong Kong NR-41802 Lot 70020821 (1.8 × 107 CEID50/mL)












100.00
1.80 × 107
1.80 × 105
5
495
500


36.00
1.80 × 105
5000
14
486
500


50.00
5000
100
60
2940
3000


10.00
100
10
400
3600
4000


2.00
10
5
1500
1500
3000


5.00
5
1
500
2000
2500










Sample Analysis:


First, a clinical threshold was obtained using thirty-two (32) clinical negatives for the InF A and InF B probe content, using the formula;

Threshold (RFU)=3×(STV)+Mean


These data revealed low background values and as a result low thresholds (721 RFU for Inf A and 896 RFU for Inf B FIG. 37A).


Next, a preliminary range-seeking study was performed on contrived InF A and InF B samples prepared on a single batch of pooled clinical negatives that revealed that the LoD would be in the approximate range of 1,000 CEID50/ml for InF A and 100 CEID50/ml for InF B (Inf A, LoD=100-1000 CEID50; Inf B, LoD=1-10 CEID50). Based on this preliminary analysis, a more detailed LoD determination was performed that showed that the LoD for InF A is less than 400 CEID50/ml (FIG. 37B) and LoD for InFB is less than 10 CEID50/ml (FIG. 37C).


Experiment 2: An extension of the above studies was performed at multiple data points closer to the LoD. Dilutions of Inf A (H1N1) and Inf B (Hong Kong) were made in clinical matrix (45 mL VTM+5 mL pooled negative clinical sample) as shown in Table 73 and the method performed as described above for Experiment 1.









TABLE 73







Protocol for clinical validation of Influenza A and Influenza B












Dilution
[Stock]
[Final]
Stock volume
Diluent
Total volume


Factor
(CEID50/mL)
(CEID50/mL)
(μL)
(μL)
(μL)










Influenza A- HIN1 NR-2555 Lot 4771527 (1.6 × 108 CEID50/mL)












100.00
1.60 × 106
1.60 × 106
5
495
500


100.00
1.60 × 105
16000
5
495
500


16.00
5.00 × 104
1000
438
6563
7000


2.50
1000
400
4000
6000
10000


2.00
400
200
6500
6500
13000


2.00
200
100
1500
1500
3000







Influenza B Hong Kong NR-41802 Lot 70020821 (1.8 × 107 CEID50/mL)












100.00
1.80 × 107
1.80 × 105
5
495
500


100.00
1.80 × 105
1800
5
495
500


18.00
1800
100
222
3778
4000


10.00
100
10
900
8100
9000


2.00
10
5
6000
6000
12000


5.00
5
1
600
2400
3000









An extended clinical threshold was obtained by processing additional clinical negatives for the Inf A and Inf B probe content, using the formula used above. The extended data set revealed a statistically strong background mean and STD that is reproducible with a threshold value of 1259 RFU for Inf A and 6221 RFU for Inf B (FIG. 38A). Expanded range-seeking optimization on contrived influenza samples prepared on a single batch of pooled clinical negatives revealed that LoD for Inf A is less than 100 CEID50/ml (FIG. 38B) and that the LoD for Inf B is less than 10 CEID50/mL (FIG. 38C). A comparison of LoD obtained using influenza from various sources is shown in Table 74.









TABLE 74







Comparison of LoD values












Strain
LOD (CEID50)
Company
Catalog #














BioFire
Inf. A H1N1
1000
Zeptometrix
0810036CF


RP2.1
Inf A H1-2009
50
Zeptometrix
0810249CF


Analyte
Int A H3
10
ATCC
VR-810



Inf B
5
Zeptometrix
0810255CF









Example 32

Mouthwash LoD on Clinical Samples


LoD studies were undertaken on QuikSal mouthwash negative clinical isolates. Briefly, three (3) oral rinse samples from healthy lab volunteers were pooled to generate a single 15 mL Cov-2 negative clinical sample. The pooled sample was then doped with gamma irradiated CoV-2 (BEI) ranging from 10,000 to 625 virus particles/mL (Table 75)


Protocol:






    • 1. Add 100 μL beads to 500 μL sample. Shake for 10 mins at 1000 rpm.

    • 2. Place sample on magnetic stand for 5 min to collect beads and remove supernatant.

    • 3. All 200 μL PBS to sample and shake for 2 mins at 1000 rpm. Remove supernatant.

    • 4. Add 100 μL lysis buffer to the sample. Shake for 2 mins at 1000 rpm.

    • 5. Heat samples at 95° C. for 10 mins.

    • 6. Place sample on magnetic stand to collect beads.

    • 7. Transfer RNA from tube to PCR plate for storage at −20° C. until use.

    • 8. PCR parameters: 55° C., 20 min (1 cycle); 94° C., 2 min (1 cycle); 94° C., 30 sec, 55° C., 30 sec, 68° C., 30 sec (40 cycles); 68° C., 7 min, (1 cycle); 4° C., ∞












TABLE 75







Protocol for clinical validation of Influenza


A and Influenza B


Gamma irradiated cell lysate NR-52287 (1.75 × 109 copies/mL)















Stock

Total


Dilution
[Stock]
[Final]
volume
Diluent
volume


Factor
(copies/mL)
(copies/mL)
(μL)
(μL)
(μL)















100.00
1.75 × 109
1.75 × 107
5
495
500


100.00
1.75 × 107
1.75 × 105
5
495
500


17.50
1.75 × 105
10000
400
6600
7000


2.00
10000
5000
4000
4000
8000


5.00
5000
1000
5400
21600
27000


1.25
1000
800
15200
3800
19000


1.60
800
500
7500
4500
12000









The summary of the range analysis (Zymo vs Ceres processing) is presented in FIG. 39. For Zymo magnetic bead-based RNA isolation from virally doped QuikSal negatives (FIG. 39, left panel) it can be seen that signal strength for both the N1 and N2 Cov-2 markers is >7 fold over the threshold across the entire viral density range tested. Based on that dose response, it appears that the LoD for the Zymo/One Step RT-PCR combination will be significantly lower than 625 virus copies/mL. In contrast, the preliminary range finding for Ceres magnetic bead-based viral capture on the same samples is at about 10-fold higher than the Zymo magnetic bead method (FIG. 39, right panel).


CoV-2 LoD Analysis


As discussed above, the LoD for both N1 and N2 SARS-CoV-2 probes was <1000 virus copies/mL. Using an expanded titration to include 500, 800, 1.000 copies/mL it is observed (FIGS. 40A and 40B) that LoD values for both N1 and N2 are less than a factor of 2 below 500 copies/mL. Thus, DETECTX-RV analysis for SARS CoV-2 may be expanded to additionally include concurrent detection/measurement of both influenza A and influenza B, without compromising LoD.


The following references are cited herein:




  • 1. Li et al., (2020) J Med Virol.; 10.1002/jmv.25786. doi:10.1002/jmv.25786

  • 2. Feng et al., (2020) Jpn J Radiol.; 1-2. doi:10.1007/s11604-020-00967-9

  • 3. Hu et al, (2003) J Clin Microbiol 41: 149-154. doi: 101128/jcm.41.1.149-154.2003


Claims
  • 1. A method for detecting at least two respiratory disease-causing coronaviruses in a sample, comprising: obtaining a sample;isolating total nucleic acids from the sample;performing in tandem in a single assay: a combined reverse transcription and a first PCR amplification reaction on the isolated total nucleic acids using at least two first primer pairs selective for the at least two respiratory disease-causing coronaviruses to generate at least two coronavirus specific cDNA amplicons; anda second amplification using the at least two coronavirus specific cDNA amplicons as template and at least two fluorescent labeled second primer pairs selective for at least two target nucleotide sequences in the at least two coronavirus specific cDNA amplicons to generate at least two fluorescent labeled virus specific amplicons;hybridizing the at least two fluorescent labeled coronavirus specific amplicons to a plurality of nucleic acid probes immobilized on a microarray support; wherein the plurality of probes comprise each of the nucleotide sequences of SEQ ID NOS: 45-66 and 85-97;imaging the microarray to detect fluorescent signals corresponding to the at least two fluorescent labeled coronavirus specific amplicons, thereby detecting the at least two respiratory disease-causing coronaviruses in the sample.
  • 2. The method of claim 1, further comprising, calculating an intensity of each of the fluorescent signals, said intensity correlating with the number of virus specific genomes in the sample.
  • 3. The method of claim 1, wherein the respiratory disease-causing coronavirus is of a Severe Acute Respiratory Syndrome Coronavirus 2 (COVID-19 virus), a Respiratory Syncytial Virus, a Middle East Respiratory Syndrome coronavirus (MERS-COV), a Severe Acute Respiratory Syndrome Coronavirus (SARS-COV), a 229E Coronavirus, a OC43 Coronavirus, a NL63 Coronavirus, or a HKU1 Coronavirus.
  • 4. The method of claim 1, wherein the at least two respiratory disease causing coronaviruses are COVID-19 and MERS-COV and said first primer pairs comprising SEQ ID NOS: 1 and 2 and SEQ ID NOS: 7 and 8 and the second primer pairs comprising SEQ ID NOS: 23 and 24 and SEQ ID NOS: 29 and 30.
  • 5. The method of claim 1, wherein the sample is an individual sample or a pooled sample from a nasopharyngeal swab, a nasal swab, a mouth swab, a mouthwash, an aerosol, or a swab from a hard surface or a combination thereof.
  • 6. A method for detecting a coronavirus 2019 disease (COVID-19) virus in a sample, comprising: obtaining a sample;isolating a total nucleic acid from the sample to obtain a test sample;performing in tandem in a single assay: a combined reverse transcription and a first PCR amplification reaction on the test sample using at least two first primer pairs selective for the COVID-19 virus and at least one non-COVID-19 virus to generate COVID-19 virus cDNA amplicons and at least one non-COVID-19 virus cDNA amplicon; anda second amplification using the COVID-19 virus cDNA amplicons and the at least one non-COVID-19 virus cDNA amplicons as templates and at least two fluorescent labeled second primer pairs selective for a target nucleotide sequence in the COVID-19 virus cDNA and in the at least one non-COVID-19 cDNA to generate at least one fluorescent labeled COVID-19 virus amplicon and at least one fluorescent labeled non-COVID-19 virus amplicon;hybridizing the at least one fluorescent labeled COVID-19 virus amplicon and the at least one fluorescent labeled non-COVID-19 virus amplicon to a plurality of nucleic acid probes immobilized on a microarray support; wherein the plurality of probes comprise each of the nucleotide sequences of SEQ ID NOS: 45-66 and 85-97;washing the microarray at least once; andimaging the microarray to detect fluorescent signals corresponding to the at least one fluorescent labeled COVID-19 virus amplicons, thereby detecting the COVID-19 in the sample.
  • 7. The method of claim 6, wherein the non-COVID-19 virus is a Respiratory Syncytial Virus, a Middle East Respiratory Syndrome coronavirus (MERS-COV), a Severe Acute Respiratory Syndrome Coronavirus (SARSCOV), a 229E Coronavirus, a OC43 Coronavirus, a NL63 Coronavirus, or a HKU1 Coronavirus.
  • 8. The method of claim 6, further comprising calculating an intensity of the fluorescent signal, said intensity correlating with the number of COVID-19 genomes in the sample.
  • 9. The method of claim 6, wherein the sample is an individual sample or a pooled sample from a nasopharyngeal swab, a nasal swab, a mouth swab, a mouthwash, an aerosol, or a swab from a hard surface, or a combination thereof.
  • 10. The method of claim 6, wherein the first primer pairs to amplify the COVID-19 virus RNA and the non-COVID-19 virus RNA are the nucleotide sequence pairs of SEQ ID NOS: 1 and 2 and SEQ ID NOS: 7 and 8, respectively, and the second primer pairs to prime the non-COVID-19 virus RNA and the non-COVID-19 virus RNA are the nucleotide sequence pairs of SEQ ID NOS: 23 and 24 and SEQ ID NOS: 29 and 30, respectively.
  • 11. The method of claim 4, further comprising coronavirus nucleocapsis primers comprising SEQ ID NOS: 3 and 4 and SEQ ID NOS: 25 and 26.
  • 12. The method of claim 4, further comprising coronavirus nucleocapsis primers comprising SEQ ID NOS: 5 and 6 and SEQ ID NOS: 27 and 28.
  • 13. The method of claim 1, wherein the at least two respiratory disease-causing coronaviruses comprises human coronavirus 229E, wherein the primer pairs for human coronavirus 299E comprise SEQ ID NOS: 9 and 10 and SEQ ID NOS: 31 and 32.
  • 14. The method of claim 1, wherein the at least two respiratory disease-causing coronaviruses comprises human coronavirus OC43, wherein the primer pairs for human coronavirus OC43 comprise SEQ ID NOS: 11 and 12 and said second primer comprising SEQ ID NOS: 33 and 34.
  • 15. The method of claim 1, wherein the at least two respiratory disease-causing coronaviruses comprises human coronavirus NL63, wherein the primer pairs for human coronavirus NL63 comprise SEQ ID NOS: 13 and 14 and SEQ ID NOS: 35 and 36.
  • 16. The method of claim 1, wherein the at least two respiratory disease-causing coronaviruses comprises human coronavirus HKU1, wherein the primer pairs for human coronavirus HKU1 comprise SEQ ID NOS: 15 and 16 and SEQ ID NOS: 37 and 38.
CROSS-REFERENCE TO RELATED APPLICATIONS

This non-provisional application claims the benefit of priority under 35 U.S.C. § 119(e) of provisional applications U.S. Ser. No. 63/078,772, filed Sep. 15, 2020, and U.S. Ser. No. 63/000,844, filed Mar. 27, 2020, both of which are hereby incorporated by reference in their entireties.

US Referenced Citations (2)
Number Name Date Kind
20180251758 Hogan Sep 2018 A1
20190032045 Hogan Jan 2019 A1
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Related Publications (1)
Number Date Country
20220195539 A1 Jun 2022 US
Provisional Applications (2)
Number Date Country
63078772 Sep 2020 US
63000844 Mar 2020 US