Literature DB >> 32685113

Comparison five primer sets from different genome region of COVID-19 for detection of virus infection by conventional RT-PCR.

Hamid Reza Mollaei1, Abass Aghaei Afshar1, Davood Kalantar-Neyestanaki2, Mehdi Fazlalipour3, Behnaz Aflatoonian1.   

Abstract

BACKGROUND AND OBJECTIVES: The new beta-coronavirus, which caused Severe Acute Respiratory Coronavirus-2 Syndrome (SARS-CoV-2), a major respiratory outbreak in Wuhan, China in December 2019, is now prevalent in many countries around the world. Identifying PCR-based viruses is a well-known and relatively stable protocol. Unfortunately, the high mutation rates may lead to widespread changes in viral nucleic acid sequences, and so using specific primers for PCR can be recommended. In this study, we evaluated the power of a conventional RT-PCR to detect SARS-CoV-2 RNA among the five set primer sets.
MATERIALS AND METHODS: The five genomic regions of the Coronavirus SARS-2 virus including Nucleocapsids (N), Envelope (E), RNA depended RNA Polymerase (RdRp), ORF1ab and Spike (S) were selected for primer designing. A conventional RT-PCR was performed to compare sensitivity, specificity and other analytical characteristics of primers designed against two Real Time PCR commercial kits.
RESULTS: The result of the comparative analysis showed that the ORF1ab, N and RdRp primers had a sensitivity, specificity and positive predictive value higher than other primers. A significant difference in the analytical sensitivity between the studied primer sets in RT-PCR kits was observed.
CONCLUSION: In this study, the ORF1ab, Nucleocapsid and RdRp regions have the best primers for identifying the SARS-CoV-2 RNA between different genes that have been suggested. Copyright
© 2020 Iranian Neuroscience Society.

Entities:  

Keywords:  COVID-19; Coronavirus; Reverse transcription-polymerase chain reaction; Sars-CoV-2; Specific primer

Year:  2020        PMID: 32685113      PMCID: PMC7340604     

Source DB:  PubMed          Journal:  Iran J Microbiol        ISSN: 2008-3289


INTRODUCTION

Coronaviruses have a single-stranded positive RNA genome with 26 to 32 kb length. Several animals including camels, bats, mice, dogs and cats have been identified as the hosts of the virus. The sequence of open reading frame (ORF) is common to all beta-corona viruses. ORF1ab encodes most of the enzymatic proteins, and also other proteins such as surface glycoprotein (S), small envelope proteins (E), matrix proteins (M) and nucleocapsid proteins (N) as well as several non-structural proteins are encoded by the virus (1). New mammalian coronaviruses have been identified. For example, a bat-related HKU2-related coronavirus was responsible for an acute fatal diarrhea syndrome in pigs in 2018 (2, 3). The majority of pathogenic coronaviruses in human cause mild symptoms or they are clinically asymptomatic. In December 2019, a new coronavirus (nCoV-19) has been reported causing outbreaks and infections in humans. The new coronavirus temporarily referred to Wuhan city of China and later renamed to novel Coronavirus (2019-nCoV) or COVID-19 (4). Existing data currently indicate that COVID-19 infects the human population from the bat reservoir, although it is not yet clear whether a currently unknown animal species acts as an intermediate host between the bats and humans (5). Many patients with pneumonia were linked to the Huanan seafood market in Wuhan, Hubei Province, China, where a number of animals, such as birds, bats and rabbits, were already on sale (6). The disease has been spreading rapidly, by epidemic condition in China and then been reported worldwide outbreaks. In February 2020, the World Health Organization (WHO) identified COVID-19, which stands for Coronavirus-2019 (7, 8). For the safety reasons, suspected or documented COVID-19 patient samples should not be used for culture. Therefore, the use of molecular method such as RT-PCR is an important method to identify cases of infection with this virus. Currently, four important regions of the virus have been suggested for molecular identification, including ORF1 (a, b), glycoprotein Spike (E), nucleocapsid (N) and viral RNA polymerase enzyme (RdRp) sequences as the final target of RT-PCR test. Due to the emergence of this virus, identification of infected and suspected cases of COVID-19 is important (4, 9). In this study, we designed and manufactured a best target gene for the detection of nCOVID-19 infection in both qualitative RT-PCR assays.

MATERIALS AND METHODS

Sampling.

At the time of the epidemic new Corona virus (COVID-19) in Iran, with the efforts of Kerman University of Medical Sciences, the Kerman Reference Laboratory began to perform Real Time PCR tests for the detection of cases that were diagnosed with nCOVID-19 infection. Therefore, from all of the nasopharynx swab samples over 30 days, 30 viral RNA genomes from the positive samples group and 15 extracted solutions from the negative samples were obtained from Kerman Reference Laboratory. All samples were tested by Real Time PCR method using the kits supplied by TIB (TIB MOLBIOL, Germany) and Sansure (Sansure Biotech, China).

Ethical clearance.

All clinical samples were obtained during the medical treatment of patients with acute respiratory infection with coronavirus (COVID-19). All patients provided written informed consent, which has been kept on file at the laboratory. Human rights were respected and all ethical issues were considered during this study. The study was supported by the Research Center of Tropical and Infectious Diseases with Reg. No. 98001244 and approved by ethical committee of Kerman University of Medical Sciences (Ethic approval Code: IR.KMU. REC.1398.728).

Primer designing.

The primer sets were classified into four groups based on specific gene sequences (ORF1, N, E and RdRp) of SARS-2 viruses in the Pubmed. The sequence codes of SARS viruses that used for primer design were: LC528233, MT093631, MT093571, MT084071, MT072688, MT066176, LC528232, LC522973, LC522972, MT027064, MT027062, MT020781, MT123293, MT019530, MT019529, LR757998, LR757997, LR757996, MT123292, LR757995, MT007544, MN996530, MN996528, MN997409, MT123291, MN994467, MN988713, NC045512, MK211378, MK211374, MT123290, MT118835, MT111896, MT106054, MT106053, MT106052, MT159719, MT093631, MT159721, MT020781, MT159718, MT159714, MT020781 and MT192759. The genome of the coronavirus is approximately 29903 ntd (nucleotides) in length and the location of the each gene targeted as follows. Multiple Alignments (ClustalW) was done for finding the conserved nucleotides on all of SARS-2 sequences in EBI –EMBL site (https://www.ebi.ac.uk/Tools/msa/clustalo/). Primers were designed after determination of the reaction conditions such as GC%, Melting temperature (Tm), the length of the primer and the product range based on online tools (https://www.eurofinsgenomics.eu/en/ecom/tools/pcr-primer-design/). Sequences of all the primers and their respective locations within the SARS-CoV-2 genome which was used for the in-house assays are shown in Fig. 1.
Fig. 1.

Genome structure of SARS-2 (nCOVID-19)

Gene N: Nucleocapsid phosphoprotein: 28274...29533, Gene E: Envelope: 26245...26472

Gene S: Spike: 21563...25384, ORF1ab:266…13468, 13468...21555, Gene M: Membrane glycoprotein: 26523...27191, RdRP:4393…5394

Genome structure of SARS-2 (nCOVID-19) Gene N: Nucleocapsid phosphoprotein: 28274...29533, Gene E: Envelope: 26245...26472 Gene S: Spike: 21563...25384, ORF1ab:266…13468, 13468...21555, Gene M: Membrane glycoprotein: 26523...27191, RdRP:4393…5394

One Step RT-PCR.

The RT-PCR assay was performed using the One-Step supermix RT-PCR Master Mix (Biosystem, Germany). Each 25-μL reaction mixture contained 12.5 μL of 2× Master Mix, 1 μL of the 20× RNase Inhibitor mix, 0.25 μL of 50 μM forward and 0.75 μL of 50 μM reverse primers, 6.125 μL of nuclease-free water, and 5 μL of nucleic acid extract. The amplification was carried out in on a MWG Thermo cycler System (MWG, Germany). The thermo cycling conditions consisted of 30 min at 50°C for reverse transcription, 5 min at 95°C for activation of the Taq DNA polymerase, and 45 cycles of 15 s at 95°C, 10 s in 58°C and 40 s at 60°C.

Detection of RT-PCR product.

The PCR products were electrophoresis in 1.5% agarose gel and were stained with Red safe. The gels were visualized under UV light and Vilberlumert gel documentation.

Specificity and sensitivity of primers.

RT-PCR test was done for different viral genomes for each primer sets such as Influenza virus (A, H1N1, H3N2, B), Para influenza virus 1,3, Hepatitis C virus (HCV), Human Herpes simplex virus (HSV1,2), Human Immunodeficiency virus (HIV-1), Corona-OC43, HCoV-NL63, MERS-CoV, Rhinovirus/ Enterovirus, Respiratory syncytial virus (A/B) and Human metapneumovirus. For sensitivity, we prepared a ten-fold serial dilution of the mixture from nCOVID-19 RNAs positive. That level of RNA mixture was determined by a commercial kit. (Genesig, Primerdesign Ltd). There was 106 copies/ml.

RESULTS

Gel electrophoresis.

The sizes of products for each primer for the in-house RT-PCR protocol are shown in Table 1 and 2 respectively. The amplicon generated by the specific primers has different molecular weight; therefore, the products could be differentiated using agarose gel electrophoresis (Fig. 2). Multiple bands were not produced from patients with nCOVID-19 disease (Table 2).
Table 1.

The sequences of specific primers for detection of COVID-19

Target geneForward/ Reverse primer%GCTm°CLocationProduct size
ORF1abCTAGGACCTCTTTCTGCTCAACACTCTCCTAGCACCATCA50/5060.5/60.510536–11124588 bp
SCCCTGTTGCTATTCATGCAGCCCTATTAAACAGCCTGCAC50/4560.1/59.81859–1955440 bp
EGGAAGAGACAGGTACGTTAAAAGGTTTTACAAGACTCACG45/4061.1/60.617–162145 bp
NCCTCTTCTCGTTCCTCATCACCTGGTCCCCAAAATTTCCT50/5061.3/62.3544–867323 bp
RdRpCATCTCACTTGCTGGTTCCTCCTTAATAGTCCTCACTTCTCTC50/43.560.8/60.3384–580196 bp
Table 2.

RT-PCR products generated in this study

GenePCR product generated in RT-PCR
RdRpCATCTCA CTTGCTGGTT 400CCTATAAAGA TTGGTCCTAT TCTGGACAAT CTACACAACT AGGTATAGAA 450TTTCTTAAGA GAGGTGATAA AAGTGTATAT TACACTAGTA ATCCTACCAC 500ATTCCACCTA GATGGTGAAG TTATCACCTT TGACAATCTT AAGACACTTC 550TTTCTTTGAG AGAAGTGAGG ACTATTAAGGNumber of CpGs in the PCR product: 0
ORF1abCTAGG ACCTCTTTCT 10550GCTCAAACTG GAATTGCCGT TTTAGATATG TGTGCTTCAT TAAAAGAATT 10600ACTGCAAAAT GGTATGAATG GACGTACCAT ATTGGGTAGT GCTTTATTAG 10650AAGATGAATT TACACCTTTT GATGTTGTTA GACAATGCTC AGGTGTTACT 10700TTCCAAAGTG CAGTGAAAAG AACAATCAAG GGTACACACC ACTGGTTGTT 10750ACTCACAATT TTGACTTCAC TTTTAGTTTT AGTCCAGAGT ACTCAATGGT 10800CTTTGTTCTT TTTTTTGTAT GAAAATGCCT TTTTACCTTT TGCTATGGGT 10850ATTATTGCTA TGTCTGCTTT TGCAATGATG TTTGTCAAAC ATAAGCATGC 10900ATTTCTCTGT TTGTTTTTGT TACCTTCTCT TGCCACTGTA GCTTATTTTA 10950ATATGGTCTA TATGCCTGCT AGTTGGGTGA TGCGTATTAT GACATGGTTG 11000GATATGGTTG ATACTAGTTT GTCTGGTTTT AAGCTAAAAG ACTGTGTTAT 11050GTATGCATCA GCTGTAGTGT TACTAATCCT TATGACAGCA AGAACTGTGT 11100ATGATGATGG TGCTAGGAGA GTGTNumber of CpGs in the PCR product: 3
STGCTG ACACTACTGA TGCTGTCCGT GATCCACAGA CACTTGAGAT 1750TCTTGACATT ACACCATGTT CTTTTGGTGG TGTCAGTGTT ATAACACCAG 1800GAACAAATAC TTCTAACCAG GTTGCTGTTC TTTATCAGGA TGTTAACTGC 1850ACAGAAGTCC CTGTTGCTAT TCATGCAGAT CAACTTACTC CTACTTGGCG 1900TGTTTATTCT ACAGGTTCTA ATGTTTTTCA AACACGTGCA GGCTGTTTAA 1950TAGGGGCTGA ACATGTCAAC AACTCATATG AGTGTGACAT ACCCATTGGT 2000GCAGGTATAT GCGCTAGTTA TCAGACTCAG ACTAATTCTC CTCGGCGGGC 2050ACGTAGTGTA GCTAGTCAAT CCATCATTGC CTACACTATG TCACTTGGTG 2100CAGAAAATTC AGTTGCTTAC TCTAATAACT CTATTGCCAT ACCCACNumber of CpGs in the PCR product: 7
NCCTCTTC 550TCGTTCCTCA TCACGTAGTC GCAACAGTTC AAGAAATTCA ACTCCAGGCA 600GCAGTAGGGG AACTTCTCCT GCTAGAATGG CTGGCAATGG CGGTGATGCT 650GCTCTTGCTT TGCTGCTGCT TGACAGATTG AACCAGCTTG AGAGCAAAAT 700GTCTGGTAAA GGCCAACAAC AACAAGGCCA AACTGTCACT AAGAAATCTG 750CTGCTGAGGC TTCTAAGAAG CCTCGGCAAA AACGTACTGC CACTAAAGCA 800TACAATGTAA CACAAGCTTT CGGCAGACGT GGTCCAGAAC AAACCCAAGG 850AAATTTTGGG GACCAGGNumber of CpGs in the PCR product: 6
EGGAA GAGACAGGTA CGTTAATAGT TAATAGCGTA 50CTTCTTTTTC TTGCTTTCGT GGTATTCTTG CTAGTTACAC TAGCCATCCT 100TACTGCGCTT CGATTGTGTG CGTACTGCTG CAATATTGTT AACGTGAGTC 150TTGTAAAACC TTNumber of CpGs in the PCR product: 5

CpG: Number of CpG islands in the unmodified PCR product

Fig. 2.

Gel electrophoresis of five products in 2% gel agarose, M: Marker 100 bp

E gene; 145 bp, ORF1ab: 588 bp, RdRp: 196 bp, N gene: 323 bp, S gene: 440 bp

Gel electrophoresis of five products in 2% gel agarose, M: Marker 100 bp E gene; 145 bp, ORF1ab: 588 bp, RdRp: 196 bp, N gene: 323 bp, S gene: 440 bp The sequences of specific primers for detection of COVID-19 RT-PCR products generated in this study CpG: Number of CpG islands in the unmodified PCR product

Specificity of primers.

No positive result was seen with non–SARS-CoV2 RNA from the specificity panel. However, when PCR products were subjected to agarose gels electrophoresis analysis, in S and E primer sets in some samples multiple bands were present, which indicated the nonspecific products (data not shown). They may have mutated. No cross-reactivity was observed when primers for E and N genes were used together in multiplex RT-PCR against COVID-19 virus. RNA from SARS-CoV2 was also tested using all the primers described above, and no cross-reactivity was observed (data not shown).

Commercial Real Time PCR and in-house conventional RT-PCR results.

The results of the RT-PCR test on 30 infected patients with COVID-19 were shown in Table 2. The COVID-19 RNA was detected from 22 samples (73.3%) of total samples from RdRp gene, 83.3% (25 samples) for Nucleocapsid (N) and S (surface protein) genes, 60% (18 samples) for E gene and 80% (24 samples) for ORF1ab region.

Specification of sunsure Biotech Real Time PCR kit.

Viral RNA is used for detection of three regions RdRp and N genes of novel coronavirus (2019-nCoV) in respiratory secretion of suspected patients with novel coronavirus infection. The RdRp region was detected in FAM, ROX for N and HEX channel to test internal control. The test is positive if there is typical S-shape amplification curve at FAM, ROX and/or Hex channel, and the amplification curve must be detected at Ct ≤ 35. If there is no typical S-shape amplification with no Ct or Ct > 40, the result is negative. The limit of detection of this kit is 200 copies/mL.

Specification of TIB MOLBIOL Real Time PCR kit.

Viral RNA is used for qualitative detection of the ORF1ab, E and N genes of novel coronavirus (2019-nCoV) in nasopharyngeal swab, oropharyn-geal swab, alveolar lavage fluid, sputum, serum, whole blood and feces from suspected pneumonia cases with novel coronavirus infection. ORF-1ab, E and N region was detected in 530 channel (FAM) and 660 channel (CY5) to test internal control. The test is positive if there is typical S-shape amplification curve and the amplification curve detected at Ct ≤ 40. If there is no typical S-shape amplification with no Ct or Ct > 40, the result is negative. It is indicated that the specimen’s concentration is too low, or there are interfering substances that inhibit the reaction and test result is invalid. The limit of detection of this kit is 10 copies/mL.

Sensitivity and specificity of different primers.

The sensitivity (also called true positive rate, recall or the probability of disease in detection with the certain tests) measures the proportion of true positive that is correctly identified as such (e.g., percentage of patients which are correctly identified by these methods). Specificity (also called the real negative rate) measures the real negatives that are correctly identified as such (e.g., the percentage of healthy people who have a negative test). In this study, the TIB MOLBIOL Kit and Sansure Biotech Kit are considered as reference methods and were compared with our designed in-house primers for detection of COVID-19. The results of this comparison and analysis are presented in Tables 3 and 4.
Table 3.

Comparison of commercial kits and conventional RT-PCR results indifferent Genes.

Sample No.A: TIB MOLBIOL KitB: Sansure Biotech kitIn-House Primers

N geneRdRp geneE geneN geneRdRp geneRdRp geneN geneE geneS geneORF1ab gene
1PPPPPPPPPP
2PPNPNPPNPN
3PPPPPPPPPP
4PPPPPPPPPP
5PNNPNNPNNN
6PPNPPPPPPP
7PPPPNPNPNP
8PPNPPPPNPP
9NPNNPPNNPP
10PNNPNNPNPN
11PPPPPPPPPP
12PPNPPPPNPP
13PNNPPNPNNP
14PPNPPPPPPP
15PPNPNPPPNN
16PNPPPNPPPP
17PPNPPPPPNP
18NPPNPPNNPP
19PNPPPNNPPN
20PPNPPPPPPP
21PPPPPPPPNP
22NPPPPPNNPP
23PNPPNPPPNN
24PPNPPPPPPP
25PPNPPPPNPP
26NPPPPNPPPP
27PNPPPNPPNP
28PPNPPPPNPP
29PNPPPNPPNP
30NPPPPPPNPP
Total P/N24/622/815/1528/224/622/825/518/1221/924/6

A: TIB MOLBIOL COVID-19 kits: Monoplex real time PCR for E, N, RdRp gene B: Sansure Biotech COVID-19 kit: Multiplex real time PCR for N (Nucleocapsid), RdRp (RNA depended RNA Polymerase), E (Spike glycoprotein), S (Surface protein) gene, P: Positive, N: Negative

Table 4.

Comparison results of in-house RT-PCR by new designed primers

Analysis testsTarget Genes

RdRpNESORF1ab
% Sensitivity95.796.666.785.796.0
% Specificity88.9100.066.750.0100.0
% Positive Predictive Value (PPV)95.7100.088.996.0100.0
% Negative Predictive Value (NPV)88.950.033.320.083.3
False Negative Rate(FNR)4.33.433.314.34.0
Fall out, False Positive Rate(FPR)11.10.033.350.00.0
False Discovery Rate (FDR)4.30.011.14.00.0
False omission Rate (FOR)11.150.066.780.016.7
Threat Score, Critical Success Index (CSI)91.796.661.582.896.0
% Accuracy47.031.329.327.340.7
Comparison of commercial kits and conventional RT-PCR results indifferent Genes. A: TIB MOLBIOL COVID-19 kits: Monoplex real time PCR for E, N, RdRp gene B: Sansure Biotech COVID-19 kit: Multiplex real time PCR for N (Nucleocapsid), RdRp (RNA depended RNA Polymerase), E (Spike glycoprotein), S (Surface protein) gene, P: Positive, N: Negative Comparison results of in-house RT-PCR by new designed primers

DISCUSSION

In early response and detection of the SARS-2 (nCOVID-19) outbreak, the cause of severe acute respiratory infection in Iran, we developed a conventional RT-PCR assay based on multiple primer sets designed to different genomic targets to facilitate sensitive and specific detection of SARS-CoV2 in all laboratories. No cross reactivity was observed when PCR products were analyzed. Therefore, by performing and designing this method, it is not necessary to use dangerous, time consuming and expensive methods such as cell culture for diagnosing nCOVID-19, which is impossible in all laboratory and requires Biosafety Level 3 (BSL3) laboratory. The high potential for N gene and RdRp gene in detection of SARS-CoV2 was demonstrated in nucleic acid extraction from respiratory secretions (10). The increased sensitivity of the RT-PCR assay over cell culture and equal to commercial RT-PCR methods may help to detection of nCOVID-19 at earlier stages of infection, when the virus is present at low titer in respiratory secretions (11). For the detection of SARS-Cov2 (nCOVID-19) in patients with respiratory infection, we designed a conventional RT-PCR method from five regions of virus. The results of RT-PCR for N gene were the most positive in commercial kits and the method designed in this study. Therefore, this gene is the most frequent gene in the coronavirus infection, whereas the E gene has the least positive in this infection. As shown in the commercial kit produced by the TIB MOLBIOL (Germany), the E gene results in patients were positive only fifty percent. This gene has not been used in the Sunsure Biotech Kit (China). Therefore, the best genes for identifying cases of the new coronavirus are the N Gene and viral RNA polymerase, respectively. The RNA depended RNA polymerase has overlaps with N-terminal region of ORF1ab (12). Besides the 2 commercial kits described above, five other sets of primers were designed for conventional RT-PCR. Primer sets of ORF1 and RdRP target the different genes and produce their own product while the two regions have overlap in N-terminal ORF1. Although the sensitivity of these two primers to detect coronavirus was equal, the ORF1 primer had a specificity and positive predictive value of 100%. The false negative rate with this primer was only 4%. The percentage of false positive and false discovery rate were zero. So, use of this region for diagnosis of coronavirus is highly recommended (13). The nucleocapsid gene primers (N) had the highest sensitivity among the designed primers (96.6%). The specificity and positive predictive value for these primers was calculated 100%. The probability of obtaining false positive and false discovery rate results with these primers was zero percent. Negative results of this test were valid in only 50% of patients with the disease. Therefore, the possibility of obtaining false negative results can be decreased by using simultaneous primers in the ORF1ab and nucleocapsid (N) region (14). As shown in Table 4, the diagnostic value of the E gene is lower than other genes in the sample because the E gene is low (Fig. 1). The sensitivity and the specificity were 66.7%. The critical success index for E gene was 61%. The surface gene (S) of COVID-19 as a target for detection of coronavirus infection in this study had a sensitivity of 85% and specificity of 50%, and was only able to identify 21 specimens (70%) positively (15). The positive result in the test was probably 95% true and the negative results had the validity of 20%. In commercial kits, two or more pairs of simultaneous primers beside internal control gene were also used in a single reaction (16). Using simultaneous multiple genes in a reaction create a competitive replication state that is depended to decreases or increases each of genes those have effects on other replication (17). It is therefore recommended that these methods may not be used simultaneously and not more than two pairs of primers in one reaction, unless their expression and amplification rate are the same and may not be affected by the others. This is one of the reasons why the results of the E gene are often false negative. Also, the use of multigene reactions cause the minimum detectable range to increase drastically, and low rate of viral loads in cases where the shading of virus is low, are not detectable and results can be false negatives (18). This is one of the cases where these two commercial kits are widely used as clinical signs and other blood tests indicate coronary disease, but their diagnostic tests are false negative (19). Although real-time RT-PCR test offers clear advantages over conventional RT-PCR, the results still need to be interpreted with caution. For instance, the effectiveness of RT-PCR in the diagnosis of SARS-CoV2 in clinical samples has been shown to be greatly affected by the quantity, type and timing of sample collection. False-negative results can also be a concern due to the poor quality of the nucleic acid or the presence of RT-PCR inhibitors. We expressed this by simultaneously testing the human RNase P gene, which should be present in all suitable collected samples (20, 21). False-negative results could also potentially result from mutations in the primer, probe target regions and in the COVID-19 virus genome. We have made this available by taking into several genetic targets in the assessment and by comparing the primer probe sequences and published sequences of COVID-19 virus (22, 23). To prevent false-positive results, careful testing by avoiding viral RNA that has been already infected or being contaminated with the PCR product during the preparation of genome extracts or PCR reactions must be considered. In addition, all positive RT-PCR samples were tested and confirmed in the second laboratory using Real-time PCR based on different genetic targets (24).

CONCLUSION

The RT-PCR assay with N, RdRp, ORF1 primers permitted rapid, sensitive, and specific detection for COVID-19 in patients with pneumonia and provided diagnostic support during the recent COVID-19 outbreak in low level laboratory that do not have a Real Time PCR instrument. Widely deploying this assay through the health centers will enhance their ability to provide a rapid response in the event of the possible return of COVID-19.
  22 in total

1.  Multiplex real-time reverse transcription-polymerase chain reaction for the detection of three viruses associated with poult enteritis complex: turkey astrovirus, turkey coronavirus, and turkey reovirus.

Authors:  Erica Spackman; Darrell Kapczynski; Holly Sellers
Journal:  Avian Dis       Date:  2005-03       Impact factor: 1.577

2.  [Analysis of low positive rate of nucleic acid detection method used for diagnosis of novel coronavirus pneumonia].

Authors:  C B Wang
Journal:  Zhonghua Yi Xue Za Zhi       Date:  2020-04-07

3.  [Construction and evaluation of a novel diagnosis pathway for 2019-Corona Virus Disease].

Authors:  Z Xiong; L Fu; H Zhou; J K Liu; A M Wang; Y Huang; X Huang; B Yi; J Wu; C H Li; J Quan; M Li; Y S Leng; W J Luo; C P Hu; W H Liao
Journal:  Zhonghua Yi Xue Za Zhi       Date:  2020-04-28

4.  [Sequencing and Phylogenetic Analyses of Structural and Accessory Proteins of Middle East Respiratory Syndrome Coronavirus from the First Imported Case in China, 2015].

Authors:  Roujian Lu; Lirong Zou; Yanqun Wang; Yanie Zhao; Weimin Zhou; Jie Wu; Wenling Wang; Guizhen Wu; Changwen Ke; Wenjie Tan
Journal:  Bing Du Xue Bao       Date:  2015-07

5.  Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding.

Authors:  Roujian Lu; Xiang Zhao; Juan Li; Peihua Niu; Bo Yang; Honglong Wu; Wenling Wang; Hao Song; Baoying Huang; Na Zhu; Yuhai Bi; Xuejun Ma; Faxian Zhan; Liang Wang; Tao Hu; Hong Zhou; Zhenhong Hu; Weimin Zhou; Li Zhao; Jing Chen; Yao Meng; Ji Wang; Yang Lin; Jianying Yuan; Zhihao Xie; Jinmin Ma; William J Liu; Dayan Wang; Wenbo Xu; Edward C Holmes; George F Gao; Guizhen Wu; Weijun Chen; Weifeng Shi; Wenjie Tan
Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

6.  Outbreak of novel Corona virus (2019-nCoV); implications for travelers to Pakistan.

Authors:  Ubaid Ur Rahman Qureshi; Sadia Saleem; Aisha Khan; Muhammad Sohail Afzal; Muhammad Shahzad Ali; Haroon Ahmed
Journal:  Travel Med Infect Dis       Date:  2020-02-04       Impact factor: 6.211

7.  Detection of SARS coronavirus.

Authors:  J S Malik Peiris; Leo L M Poon
Journal:  Methods Mol Biol       Date:  2011

8.  Sensitive detection of SARS coronavirus RNA by a novel asymmetric multiplex nested RT-PCR amplification coupled with oligonucleotide microarray hybridization.

Authors:  Zhi-wei Zhang; Yi-ming Zhou; Yan Zhang; Yong Guo; Sheng-ce Tao; Ze Li; Qiong Zhang; Jing Cheng
Journal:  Methods Mol Med       Date:  2005

9.  Development of a Laboratory-safe and Low-cost Detection Protocol for SARS-CoV-2 of the Coronavirus Disease 2019 (COVID-19).

Authors:  Joungha Won; Solji Lee; Myungsun Park; Tai Young Kim; Mingu Gordon Park; Byung Yoon Choi; Dongwan Kim; Hyeshik Chang; V Narry Kim; C Justin Lee
Journal:  Exp Neurobiol       Date:  2020-04-30       Impact factor: 3.261

10.  Serologic Detection of Middle East Respiratory Syndrome Coronavirus Functional Antibodies.

Authors:  Nisreen M A Okba; Ivy Widjaja; Wentao Li; Corine H GeurtsvanKessel; Elmoubasher A B A Farag; Mohammed Al-Hajri; Wan Beom Park; Myoung-Don Oh; Chantal B E M Reusken; Marion P G Koopmans; Berend-Jan Bosch; Bart L Haagmans
Journal:  Emerg Infect Dis       Date:  2020-05-17       Impact factor: 6.883

View more
  9 in total

Review 1.  Biological characteristics and biomarkers of novel SARS-CoV-2 facilitated rapid development and implementation of diagnostic tools and surveillance measures.

Authors:  Gajanan Sampatrao Ghodake; Surendra Krushna Shinde; Avinash Ashok Kadam; Rijuta Ganesh Saratale; Ganesh Dattatraya Saratale; Asad Syed; Abdallah M Elgorban; Najat Marraiki; Dae-Young Kim
Journal:  Biosens Bioelectron       Date:  2021-01-04       Impact factor: 10.618

Review 2.  Research progress in laboratory detection of SARS-CoV-2.

Authors:  Rui Hu; Hao-Jia Wang; Yang-Hui Xiang; Rui Ji; Yu-Ping Wang
Journal:  Ir J Med Sci       Date:  2021-03-24       Impact factor: 2.089

3.  Comparison of analytical sensitivity and efficiency for SARS-CoV-2 primer sets by TaqMan-based and SYBR Green-based RT-qPCR.

Authors:  Yile Tao; Yang Yue; Guangyu Qiu; Zheng Ji; Martin Spillman; Zhibo Gai; Qingfa Chen; Michel Bielecki; Michael Huber; Alexandra Trkola; Qiyuan Wang; Junji Cao; Jing Wang
Journal:  Appl Microbiol Biotechnol       Date:  2022-02-26       Impact factor: 4.813

Review 4.  Influenza A, Influenza B, and SARS-CoV-2 Similarities and Differences - A Focus on Diagnosis.

Authors:  Andrei Havasi; Simona Visan; Calin Cainap; Simona Sorana Cainap; Alin Adrian Mihaila; Laura-Ancuta Pop
Journal:  Front Microbiol       Date:  2022-06-20       Impact factor: 6.064

Review 5.  Miniaturized Real-Time PCR systems for SARS-CoV-2 detection at the Point-of-Care.

Authors:  Valeria Garzarelli; Maria Serena Chiriacò; Marco Cereda; Isidora Autuori; Francesco Ferrara
Journal:  Clin Chim Acta       Date:  2022-09-17       Impact factor: 6.314

Review 6.  Design Strategies for and Stability of mRNA-Lipid Nanoparticle COVID-19 Vaccines.

Authors:  Ting Liu; Yang Tian; Aiping Zheng; Chunying Cui
Journal:  Polymers (Basel)       Date:  2022-10-06       Impact factor: 4.967

7.  Real-time PCR Ct value in SARS-CoV-2 detection: RdRp or N gene?

Authors:  Hamidreza Abbasi; Alijan Tabaraei; Seyed Mehran Hosseini; Ayyoob Khosravi; Hadi Razavi Nikoo
Journal:  Infection       Date:  2021-07-30       Impact factor: 7.455

8.  Diagnostic accuracy of three commercially available one step RT-PCR assays for the detection of SARS-CoV-2 in resource limited settings.

Authors:  Abay Sisay; Adugna Abera; Boja Dufera; Tujuba Endrias; Geremew Tasew; Abraham Tesfaye; Sonja Hartnack; Dereje Beyene; Adey Feleke Desta
Journal:  PLoS One       Date:  2022-01-20       Impact factor: 3.240

9.  CovDif, a Tool to Visualize the Conservation between SARS-CoV-2 Genomes and Variants.

Authors:  Luis F Cedeño-Pérez; Laura Gómez-Romero
Journal:  Viruses       Date:  2022-03-09       Impact factor: 5.048

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.