RPB0004

Pathogen Description

Target Pathogen Pathogen Name NCBI Taxonomy ID Order Family Genus Species Pathogen type
SARS-CoV-2 SARS-CoV-2, 2019-nCoV, COVID-19, COVID-19 virus, SARS2, Wuhan coronavirus, Human coronavirus 2019, COVID19, HCoV-19, SARS-2, SARS-CoV4 2697049 Nidovirales Coronaviridae Betacoronavirus Severe acute respiratory syndrome-related coronavirus virus

Primer Description

Primer Name Sequence(5'-3') Length(bp) Primer Final Concentration(μM) GC Content(%) Predicted Melting Temperature(℃) Molecular Weight(g/moles) Positions in GenBank accession number
F GAACGTGGTTGACCTACACAGGTGCCATCAAAT 33 0.36 48.5 65.22 10146.66 29203-29235
R BIOTIN-GGTAAGGCTTGAGTTTCATCAGCCTTCTTCTTTT 34 0.36 41.2 61.44 10395.79 29368-29335
P FITC-ACAAAGATCCAAATTTCAAAGATCAAGTCA[THF]TTTGCTGAATAAGCA-C3 45 0.04 31.1 61 13837.12 29242-29287

Gene Description

Target Gene GenBank ID
N OP714083.1

Assay Description

Application Assay Primer Designing Software Reaction Time(min) Assay Temperature(℃) Readout System(s) Limit of Detection(LoD) Sensitivity(%) Specificity(%)
detect SARS-CoV-2 nucleocapsid (N) gene and Omicron BA.1 spike (S) gene-specific deletion-insertion mutations (del211/ins214) RT-RPA-LF \ 30 37 LF 10 RNA copies/µL 100.0% (95% CI: 98.7.1-100.0) for samples with high viral load, 100.0% (95% CI: 97.1-100.0) for those with moderate viral load, 83% (95% CI: 63.3-100.0) for those with low viral load, and 14.3% (95% CI: 0-47.4) for those with very low viral load 100

Publication Description

Year of Publication Title Author(s) Journal PMID DOI
2023 Rapid Detection of SARS-CoV-2 RNA Using Reverse Transcription Recombinase Polymerase Amplification (RT-RPA) with Lateral Flow for N-Protein Gene and Variant-Specific Deletion-Insertion Mutation in S-Protein Gene Jose L Malaga, Monica J Pajuelo, Michiko Okamoto, Emmanuel Kagning Tsinda, Kanako Otani, Pablo Tsukayama, Lucero Mascaro, Diego Cuicapuza, Masamichi Katsumi, Kazuhisa Kawamura, Hidekazu Nishimura, Akie Sakagami, Yo Ueki, Suguru Omiya, Satoshi Okamoto, Asami Nakayama, Shin-Ichi Fujimaki, Chuyao Yu, Sikandar Azam, Eiichi Kodama, Clyde Dapat, Hitoshi Oshitani, Mayuko Saito Viruses 37376555 10.3390/v15061254

Rapid Detection of SARS-CoV-2 RNA Using Reverse Transcription Recombinase Polymerase Amplification (RT-RPA) with Lateral Flow for N-Protein Gene and Variant-Specific Deletion-Insertion Mutation in S-Protein Gene

Author(s):

Jose L Malaga, Monica J Pajuelo, Michiko Okamoto, Emmanuel Kagning Tsinda, Kanako Otani, Pablo Tsukayama, Lucero Mascaro, Diego Cuicapuza, Masamichi Katsumi, Kazuhisa Kawamura, Hidekazu Nishimura, Akie Sakagami, Yo Ueki, Suguru Omiya, Satoshi Okamoto, Asami Nakayama, Shin-Ichi Fujimaki, Chuyao Yu, Sikandar Azam, Eiichi Kodama, Clyde Dapat, Hitoshi Oshitani, Mayuko Saito

Journal:

Viruses

Year:

2023

Abstract:

Rapid molecular testing for severe acute respiratory coronavirus 2 (SARS-CoV-2) variants may contribute to the development of public health measures, particularly in resource-limited areas. Reverse transcription recombinase polymerase amplification using a lateral flow assay (RT-RPA-LF) allows rapid RNA detection without thermal cyclers. In this study, we developed two assays to detect SARS-CoV-2 nucleocapsid (N) gene and Omicron BA.1 spike (S) gene-specific deletion-insertion mutations (del211/ins214). Both tests had a detection limit of 10 copies/µL in vitro and the detection time was approximately 35 min from incubation to detection. The sensitivities of SARS-CoV-2 (N) RT-RPA-LF by viral load categories were 100% for clinical samples with high (>9015.7 copies/µL, cycle quantification (Cq): < 25) and moderate (385.5-9015.7 copies/µL, Cq: 25-29.9) viral load, 83.3% for low (16.5-385.5 copies/µL, Cq: 30-34.9), and 14.3% for very low (<16.5 copies/µL, Cq: 35-40). The sensitivities of the Omicron BA.1 (S) RT-RPA-LF were 94.9%, 78%, 23.8%, and 0%, respectively, and the specificity against non-BA.1 SARS-CoV-2-positive samples was 96%. The assays seemed more sensitive than rapid antigen detection in moderate viral load samples. Although implementation in resource-limited settings requires additional improvements, deletion-insertion mutations were successfully detected by the RT-RPA-LF technique.