Development and use of a droplet digital PCR (ddPCR) assay to achieve sensitive and fast atypical porcine pestivirus detection
Abstract Atypical porcine pestivirus (APPV) is a recently discovered RNA virus, which mainly caused congenital tremor in piglets. Droplet digital PCR (ddPCR) is an absolute quantitative method that does not rely on the standard curve but has high sensitivity and accuracy. The present study aimed to...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Deng, Lishuang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) under exclusive licence to Sociedade Brasileira de Microbiologia 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Brazilian journal of microbiology - [Cham] : Springer International Publishing, 2000, 53(2022), 2 vom: 12. März, Seite 625-631 |
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| Übergeordnetes Werk: |
volume:53 ; year:2022 ; number:2 ; day:12 ; month:03 ; pages:625-631 |
| Links: |
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| DOI / URN: |
10.1007/s42770-022-00728-y |
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| Katalog-ID: |
SPR047145900 |
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| 245 | 1 | 0 | |a Development and use of a droplet digital PCR (ddPCR) assay to achieve sensitive and fast atypical porcine pestivirus detection |
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| 520 | |a Abstract Atypical porcine pestivirus (APPV) is a recently discovered RNA virus, which mainly caused congenital tremor in piglets. Droplet digital PCR (ddPCR) is an absolute quantitative method that does not rely on the standard curve but has high sensitivity and accuracy. The present study aimed to develop a ddPCR detection assay for APPV. Furthermore, we evaluated the limit of detection, sensitivity, specificity and reproducibility of the ddPCR and real-time quantitative PCR (qPCR) and tested 135 clinical samples to calculate the detection rate of the two methods. The results showed that both methods had a strong linear relationship and quantitative correlation. The ddPCR assay had a minimum detection limit of 0.15 copies/μL for APPV, with a sensitivity 100 times that of qPCR. We tested clinical samples and found that the APPV ddPCR had a 27.4% positive detection rate, noticeably higher than that of the qPCR (14.8%). Additionally, the APPV ddPCR method had excellent repeatability and specificity. In brief, our study provided a novel, feasible and sensitive diagnostic technique to identify and monitor APPV. | ||
| 650 | 4 | |a Atypical porcine pestivirus |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Droplet digital PCR |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Real-time quantitative PCR |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Yang, Xiaoyu |4 aut | |
| 700 | 1 | |a Xu, Zhiwen |4 aut | |
| 700 | 1 | |a Li, Fengqin |4 aut | |
| 700 | 1 | |a Zhao, Jun |4 aut | |
| 700 | 1 | |a Deng, Huidan |4 aut | |
| 700 | 1 | |a Jian, Zhijie |4 aut | |
| 700 | 1 | |a Sun, Xiangang |4 aut | |
| 700 | 1 | |a Zhu, Ling |0 (orcid)0000-0002-2682-3465 |4 aut | |
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10.1007/s42770-022-00728-y doi (DE-627)SPR047145900 (SPR)s42770-022-00728-y-e DE-627 ger DE-627 rakwb eng Deng, Lishuang verfasserin aut Development and use of a droplet digital PCR (ddPCR) assay to achieve sensitive and fast atypical porcine pestivirus detection 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Sociedade Brasileira de Microbiologia 2022 Abstract Atypical porcine pestivirus (APPV) is a recently discovered RNA virus, which mainly caused congenital tremor in piglets. Droplet digital PCR (ddPCR) is an absolute quantitative method that does not rely on the standard curve but has high sensitivity and accuracy. The present study aimed to develop a ddPCR detection assay for APPV. Furthermore, we evaluated the limit of detection, sensitivity, specificity and reproducibility of the ddPCR and real-time quantitative PCR (qPCR) and tested 135 clinical samples to calculate the detection rate of the two methods. The results showed that both methods had a strong linear relationship and quantitative correlation. The ddPCR assay had a minimum detection limit of 0.15 copies/μL for APPV, with a sensitivity 100 times that of qPCR. We tested clinical samples and found that the APPV ddPCR had a 27.4% positive detection rate, noticeably higher than that of the qPCR (14.8%). Additionally, the APPV ddPCR method had excellent repeatability and specificity. In brief, our study provided a novel, feasible and sensitive diagnostic technique to identify and monitor APPV. Atypical porcine pestivirus (dpeaa)DE-He213 Droplet digital PCR (dpeaa)DE-He213 Real-time quantitative PCR (dpeaa)DE-He213 Yang, Xiaoyu aut Xu, Zhiwen aut Li, Fengqin aut Zhao, Jun aut Deng, Huidan aut Jian, Zhijie aut Sun, Xiangang aut Zhu, Ling (orcid)0000-0002-2682-3465 aut Enthalten in Brazilian journal of microbiology [Cham] : Springer International Publishing, 2000 53(2022), 2 vom: 12. März, Seite 625-631 (DE-627)320577465 (DE-600)2017175-4 1678-4405 nnns volume:53 year:2022 number:2 day:12 month:03 pages:625-631 https://dx.doi.org/10.1007/s42770-022-00728-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 53 2022 2 12 03 625-631 |
| spelling |
10.1007/s42770-022-00728-y doi (DE-627)SPR047145900 (SPR)s42770-022-00728-y-e DE-627 ger DE-627 rakwb eng Deng, Lishuang verfasserin aut Development and use of a droplet digital PCR (ddPCR) assay to achieve sensitive and fast atypical porcine pestivirus detection 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Sociedade Brasileira de Microbiologia 2022 Abstract Atypical porcine pestivirus (APPV) is a recently discovered RNA virus, which mainly caused congenital tremor in piglets. Droplet digital PCR (ddPCR) is an absolute quantitative method that does not rely on the standard curve but has high sensitivity and accuracy. The present study aimed to develop a ddPCR detection assay for APPV. Furthermore, we evaluated the limit of detection, sensitivity, specificity and reproducibility of the ddPCR and real-time quantitative PCR (qPCR) and tested 135 clinical samples to calculate the detection rate of the two methods. The results showed that both methods had a strong linear relationship and quantitative correlation. The ddPCR assay had a minimum detection limit of 0.15 copies/μL for APPV, with a sensitivity 100 times that of qPCR. We tested clinical samples and found that the APPV ddPCR had a 27.4% positive detection rate, noticeably higher than that of the qPCR (14.8%). Additionally, the APPV ddPCR method had excellent repeatability and specificity. In brief, our study provided a novel, feasible and sensitive diagnostic technique to identify and monitor APPV. Atypical porcine pestivirus (dpeaa)DE-He213 Droplet digital PCR (dpeaa)DE-He213 Real-time quantitative PCR (dpeaa)DE-He213 Yang, Xiaoyu aut Xu, Zhiwen aut Li, Fengqin aut Zhao, Jun aut Deng, Huidan aut Jian, Zhijie aut Sun, Xiangang aut Zhu, Ling (orcid)0000-0002-2682-3465 aut Enthalten in Brazilian journal of microbiology [Cham] : Springer International Publishing, 2000 53(2022), 2 vom: 12. März, Seite 625-631 (DE-627)320577465 (DE-600)2017175-4 1678-4405 nnns volume:53 year:2022 number:2 day:12 month:03 pages:625-631 https://dx.doi.org/10.1007/s42770-022-00728-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 53 2022 2 12 03 625-631 |
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10.1007/s42770-022-00728-y doi (DE-627)SPR047145900 (SPR)s42770-022-00728-y-e DE-627 ger DE-627 rakwb eng Deng, Lishuang verfasserin aut Development and use of a droplet digital PCR (ddPCR) assay to achieve sensitive and fast atypical porcine pestivirus detection 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Sociedade Brasileira de Microbiologia 2022 Abstract Atypical porcine pestivirus (APPV) is a recently discovered RNA virus, which mainly caused congenital tremor in piglets. Droplet digital PCR (ddPCR) is an absolute quantitative method that does not rely on the standard curve but has high sensitivity and accuracy. The present study aimed to develop a ddPCR detection assay for APPV. Furthermore, we evaluated the limit of detection, sensitivity, specificity and reproducibility of the ddPCR and real-time quantitative PCR (qPCR) and tested 135 clinical samples to calculate the detection rate of the two methods. The results showed that both methods had a strong linear relationship and quantitative correlation. The ddPCR assay had a minimum detection limit of 0.15 copies/μL for APPV, with a sensitivity 100 times that of qPCR. We tested clinical samples and found that the APPV ddPCR had a 27.4% positive detection rate, noticeably higher than that of the qPCR (14.8%). Additionally, the APPV ddPCR method had excellent repeatability and specificity. In brief, our study provided a novel, feasible and sensitive diagnostic technique to identify and monitor APPV. Atypical porcine pestivirus (dpeaa)DE-He213 Droplet digital PCR (dpeaa)DE-He213 Real-time quantitative PCR (dpeaa)DE-He213 Yang, Xiaoyu aut Xu, Zhiwen aut Li, Fengqin aut Zhao, Jun aut Deng, Huidan aut Jian, Zhijie aut Sun, Xiangang aut Zhu, Ling (orcid)0000-0002-2682-3465 aut Enthalten in Brazilian journal of microbiology [Cham] : Springer International Publishing, 2000 53(2022), 2 vom: 12. März, Seite 625-631 (DE-627)320577465 (DE-600)2017175-4 1678-4405 nnns volume:53 year:2022 number:2 day:12 month:03 pages:625-631 https://dx.doi.org/10.1007/s42770-022-00728-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 53 2022 2 12 03 625-631 |
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10.1007/s42770-022-00728-y doi (DE-627)SPR047145900 (SPR)s42770-022-00728-y-e DE-627 ger DE-627 rakwb eng Deng, Lishuang verfasserin aut Development and use of a droplet digital PCR (ddPCR) assay to achieve sensitive and fast atypical porcine pestivirus detection 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Sociedade Brasileira de Microbiologia 2022 Abstract Atypical porcine pestivirus (APPV) is a recently discovered RNA virus, which mainly caused congenital tremor in piglets. Droplet digital PCR (ddPCR) is an absolute quantitative method that does not rely on the standard curve but has high sensitivity and accuracy. The present study aimed to develop a ddPCR detection assay for APPV. Furthermore, we evaluated the limit of detection, sensitivity, specificity and reproducibility of the ddPCR and real-time quantitative PCR (qPCR) and tested 135 clinical samples to calculate the detection rate of the two methods. The results showed that both methods had a strong linear relationship and quantitative correlation. The ddPCR assay had a minimum detection limit of 0.15 copies/μL for APPV, with a sensitivity 100 times that of qPCR. We tested clinical samples and found that the APPV ddPCR had a 27.4% positive detection rate, noticeably higher than that of the qPCR (14.8%). Additionally, the APPV ddPCR method had excellent repeatability and specificity. In brief, our study provided a novel, feasible and sensitive diagnostic technique to identify and monitor APPV. Atypical porcine pestivirus (dpeaa)DE-He213 Droplet digital PCR (dpeaa)DE-He213 Real-time quantitative PCR (dpeaa)DE-He213 Yang, Xiaoyu aut Xu, Zhiwen aut Li, Fengqin aut Zhao, Jun aut Deng, Huidan aut Jian, Zhijie aut Sun, Xiangang aut Zhu, Ling (orcid)0000-0002-2682-3465 aut Enthalten in Brazilian journal of microbiology [Cham] : Springer International Publishing, 2000 53(2022), 2 vom: 12. März, Seite 625-631 (DE-627)320577465 (DE-600)2017175-4 1678-4405 nnns volume:53 year:2022 number:2 day:12 month:03 pages:625-631 https://dx.doi.org/10.1007/s42770-022-00728-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 53 2022 2 12 03 625-631 |
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10.1007/s42770-022-00728-y doi (DE-627)SPR047145900 (SPR)s42770-022-00728-y-e DE-627 ger DE-627 rakwb eng Deng, Lishuang verfasserin aut Development and use of a droplet digital PCR (ddPCR) assay to achieve sensitive and fast atypical porcine pestivirus detection 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Sociedade Brasileira de Microbiologia 2022 Abstract Atypical porcine pestivirus (APPV) is a recently discovered RNA virus, which mainly caused congenital tremor in piglets. Droplet digital PCR (ddPCR) is an absolute quantitative method that does not rely on the standard curve but has high sensitivity and accuracy. The present study aimed to develop a ddPCR detection assay for APPV. Furthermore, we evaluated the limit of detection, sensitivity, specificity and reproducibility of the ddPCR and real-time quantitative PCR (qPCR) and tested 135 clinical samples to calculate the detection rate of the two methods. The results showed that both methods had a strong linear relationship and quantitative correlation. The ddPCR assay had a minimum detection limit of 0.15 copies/μL for APPV, with a sensitivity 100 times that of qPCR. We tested clinical samples and found that the APPV ddPCR had a 27.4% positive detection rate, noticeably higher than that of the qPCR (14.8%). Additionally, the APPV ddPCR method had excellent repeatability and specificity. In brief, our study provided a novel, feasible and sensitive diagnostic technique to identify and monitor APPV. Atypical porcine pestivirus (dpeaa)DE-He213 Droplet digital PCR (dpeaa)DE-He213 Real-time quantitative PCR (dpeaa)DE-He213 Yang, Xiaoyu aut Xu, Zhiwen aut Li, Fengqin aut Zhao, Jun aut Deng, Huidan aut Jian, Zhijie aut Sun, Xiangang aut Zhu, Ling (orcid)0000-0002-2682-3465 aut Enthalten in Brazilian journal of microbiology [Cham] : Springer International Publishing, 2000 53(2022), 2 vom: 12. März, Seite 625-631 (DE-627)320577465 (DE-600)2017175-4 1678-4405 nnns volume:53 year:2022 number:2 day:12 month:03 pages:625-631 https://dx.doi.org/10.1007/s42770-022-00728-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 53 2022 2 12 03 625-631 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR047145900</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230507193644.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220531s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s42770-022-00728-y</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR047145900</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s42770-022-00728-y-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Deng, Lishuang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Development and use of a droplet digital PCR (ddPCR) assay to achieve sensitive and fast atypical porcine pestivirus detection</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) under exclusive licence to Sociedade Brasileira de Microbiologia 2022</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Atypical porcine pestivirus (APPV) is a recently discovered RNA virus, which mainly caused congenital tremor in piglets. 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Deng, Lishuang |
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Deng, Lishuang misc Atypical porcine pestivirus misc Droplet digital PCR misc Real-time quantitative PCR Development and use of a droplet digital PCR (ddPCR) assay to achieve sensitive and fast atypical porcine pestivirus detection |
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Development and use of a droplet digital PCR (ddPCR) assay to achieve sensitive and fast atypical porcine pestivirus detection Atypical porcine pestivirus (dpeaa)DE-He213 Droplet digital PCR (dpeaa)DE-He213 Real-time quantitative PCR (dpeaa)DE-He213 |
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misc Atypical porcine pestivirus misc Droplet digital PCR misc Real-time quantitative PCR |
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Development and use of a droplet digital PCR (ddPCR) assay to achieve sensitive and fast atypical porcine pestivirus detection |
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Development and use of a droplet digital PCR (ddPCR) assay to achieve sensitive and fast atypical porcine pestivirus detection |
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Deng, Lishuang |
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Deng, Lishuang Yang, Xiaoyu Xu, Zhiwen Li, Fengqin Zhao, Jun Deng, Huidan Jian, Zhijie Sun, Xiangang Zhu, Ling |
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development and use of a droplet digital pcr (ddpcr) assay to achieve sensitive and fast atypical porcine pestivirus detection |
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Development and use of a droplet digital PCR (ddPCR) assay to achieve sensitive and fast atypical porcine pestivirus detection |
| abstract |
Abstract Atypical porcine pestivirus (APPV) is a recently discovered RNA virus, which mainly caused congenital tremor in piglets. Droplet digital PCR (ddPCR) is an absolute quantitative method that does not rely on the standard curve but has high sensitivity and accuracy. The present study aimed to develop a ddPCR detection assay for APPV. Furthermore, we evaluated the limit of detection, sensitivity, specificity and reproducibility of the ddPCR and real-time quantitative PCR (qPCR) and tested 135 clinical samples to calculate the detection rate of the two methods. The results showed that both methods had a strong linear relationship and quantitative correlation. The ddPCR assay had a minimum detection limit of 0.15 copies/μL for APPV, with a sensitivity 100 times that of qPCR. We tested clinical samples and found that the APPV ddPCR had a 27.4% positive detection rate, noticeably higher than that of the qPCR (14.8%). Additionally, the APPV ddPCR method had excellent repeatability and specificity. In brief, our study provided a novel, feasible and sensitive diagnostic technique to identify and monitor APPV. © The Author(s) under exclusive licence to Sociedade Brasileira de Microbiologia 2022 |
| abstractGer |
Abstract Atypical porcine pestivirus (APPV) is a recently discovered RNA virus, which mainly caused congenital tremor in piglets. Droplet digital PCR (ddPCR) is an absolute quantitative method that does not rely on the standard curve but has high sensitivity and accuracy. The present study aimed to develop a ddPCR detection assay for APPV. Furthermore, we evaluated the limit of detection, sensitivity, specificity and reproducibility of the ddPCR and real-time quantitative PCR (qPCR) and tested 135 clinical samples to calculate the detection rate of the two methods. The results showed that both methods had a strong linear relationship and quantitative correlation. The ddPCR assay had a minimum detection limit of 0.15 copies/μL for APPV, with a sensitivity 100 times that of qPCR. We tested clinical samples and found that the APPV ddPCR had a 27.4% positive detection rate, noticeably higher than that of the qPCR (14.8%). Additionally, the APPV ddPCR method had excellent repeatability and specificity. In brief, our study provided a novel, feasible and sensitive diagnostic technique to identify and monitor APPV. © The Author(s) under exclusive licence to Sociedade Brasileira de Microbiologia 2022 |
| abstract_unstemmed |
Abstract Atypical porcine pestivirus (APPV) is a recently discovered RNA virus, which mainly caused congenital tremor in piglets. Droplet digital PCR (ddPCR) is an absolute quantitative method that does not rely on the standard curve but has high sensitivity and accuracy. The present study aimed to develop a ddPCR detection assay for APPV. Furthermore, we evaluated the limit of detection, sensitivity, specificity and reproducibility of the ddPCR and real-time quantitative PCR (qPCR) and tested 135 clinical samples to calculate the detection rate of the two methods. The results showed that both methods had a strong linear relationship and quantitative correlation. The ddPCR assay had a minimum detection limit of 0.15 copies/μL for APPV, with a sensitivity 100 times that of qPCR. We tested clinical samples and found that the APPV ddPCR had a 27.4% positive detection rate, noticeably higher than that of the qPCR (14.8%). Additionally, the APPV ddPCR method had excellent repeatability and specificity. In brief, our study provided a novel, feasible and sensitive diagnostic technique to identify and monitor APPV. © The Author(s) under exclusive licence to Sociedade Brasileira de Microbiologia 2022 |
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Development and use of a droplet digital PCR (ddPCR) assay to achieve sensitive and fast atypical porcine pestivirus detection |
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Yang, Xiaoyu Xu, Zhiwen Li, Fengqin Zhao, Jun Deng, Huidan Jian, Zhijie Sun, Xiangang Zhu, Ling |
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| score |
7.397897 |