Large-scale implementation of pooled RNA extraction and RT-PCR for SARS-CoV-2 detection

Testing for active SARS-CoV-2 infection is a fundamental tool in the public health measures taken to control the COVID-19 pandemic. Because of the overwhelming use of SARS-CoV-2 reverse transcription (RT)-PCR tests worldwide, the availability of test kits has become a major bottleneck and the need t...

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Veröffentlicht in:Clinical microbiology and infection 2020-09, Vol.26 (9), p.1248-1253
Hauptverfasser: Ben-Ami, R., Klochendler, A., Seidel, M., Sido, T., Gurel-Gurevich, O., Yassour, M., Meshorer, E., Benedek, G., Fogel, I., Oiknine-Djian, E., Gertler, A., Rotstein, Z., Lavi, B., Dor, Y., Wolf, D.G., Salton, M., Drier, Y., Eden, A., Klar, A., Geldman, A., Arbel, A., Peretz, A., Shalom, B., Ochana, B.L., Avrahami-Tzfati, D., Neiman, D., Steinberg, D., Ben Zvi, D., Shpigel, E., Atlan, G., Klein, H., Chekroun, H., Shani, H., Hazan, I., Ansari, I., Magenheim, I., Moss, J., Magenheim, J., Peretz, L., Feigin, L., Saraby, M., Sherman, M., Bentata, M., Avital, M., Kott, M., Peyser, M., Weitz, M., Shacham, M., Grunewald, M., Sasson, N., Wallis, N., Azazmeh, N., Tzarum, N., Fridlich, O., Sher, R., Condiotti, R., Refaeli, R., Ben Ami, R., Zaken-Gallili, R., Helman, R., Ofek, S., Tzaban, S., Piyanzin, S., Anzi, S., Dagan, S., Lilenthal, S., Licht, T., Friehmann, T., Kaufman, Y., Pery, A., Saada, A., Dekel, A., Yeffet, A., Shaag, A., Michael-Gayego, A., Shay, E., Arbib, E., Onallah, H., Ben-Meir, K., Levinzon, L., Cohen-Daniel, L., Natan, L., Hamdan, M., Rivkin, M., Shwieki, M., Vorontsov, O., Barsuk, R., Abramovitch, R., Gutorov, R., Sirhan, S., Abdeen, S., Yachnin, Y., Daitch, Y.
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container_end_page 1253
container_issue 9
container_start_page 1248
container_title Clinical microbiology and infection
container_volume 26
creator Ben-Ami, R.
Klochendler, A.
Seidel, M.
Sido, T.
Gurel-Gurevich, O.
Yassour, M.
Meshorer, E.
Benedek, G.
Fogel, I.
Oiknine-Djian, E.
Gertler, A.
Rotstein, Z.
Lavi, B.
Dor, Y.
Wolf, D.G.
Salton, M.
Drier, Y.
Klochendler, A.
Eden, A.
Klar, A.
Geldman, A.
Arbel, A.
Peretz, A.
Shalom, B.
Ochana, B.L.
Avrahami-Tzfati, D.
Neiman, D.
Steinberg, D.
Ben Zvi, D.
Shpigel, E.
Atlan, G.
Klein, H.
Chekroun, H.
Shani, H.
Hazan, I.
Ansari, I.
Magenheim, I.
Moss, J.
Magenheim, J.
Peretz, L.
Feigin, L.
Saraby, M.
Sherman, M.
Bentata, M.
Avital, M.
Kott, M.
Peyser, M.
Weitz, M.
Shacham, M.
Grunewald, M.
Sasson, N.
Wallis, N.
Azazmeh, N.
Tzarum, N.
Fridlich, O.
Sher, R.
Condiotti, R.
Refaeli, R.
Ben Ami, R.
Zaken-Gallili, R.
Helman, R.
Ofek, S.
Tzaban, S.
Piyanzin, S.
Anzi, S.
Dagan, S.
Lilenthal, S.
Sido, T.
Licht, T.
Friehmann, T.
Kaufman, Y.
Pery, A.
Saada, A.
Dekel, A.
Yeffet, A.
Shaag, A.
Michael-Gayego, A.
Shay, E.
Arbib, E.
Onallah, H.
Ben-Meir, K.
Levinzon, L.
Cohen-Daniel, L.
Natan, L.
Hamdan, M.
Rivkin, M.
Shwieki, M.
Vorontsov, O.
Barsuk, R.
Abramovitch, R.
Gutorov, R.
Sirhan, S.
Abdeen, S.
Yachnin, Y.
Daitch, Y.
description Testing for active SARS-CoV-2 infection is a fundamental tool in the public health measures taken to control the COVID-19 pandemic. Because of the overwhelming use of SARS-CoV-2 reverse transcription (RT)-PCR tests worldwide, the availability of test kits has become a major bottleneck and the need to increase testing throughput is rising. We aim to overcome these challenges by pooling samples together, and performing RNA extraction and RT-PCR in pools. We tested the efficiency and sensitivity of pooling strategies for RNA extraction and RT-PCR detection of SARS-CoV-2. We tested 184 samples both individually and in pools to estimate the effects of pooling. We further implemented Dorfman pooling with a pool size of eight samples in large-scale clinical tests. We demonstrated pooling strategies that increase testing throughput while maintaining high sensitivity. A comparison of 184 samples tested individually and in pools of eight samples showed that test results were not significantly affected. Implementing the eight-sample Dorfman pooling to test 26 576 samples from asymptomatic individuals, we identified 31 (0.12%) SARS-CoV-2 positive samples, achieving a 7.3-fold increase in throughput. Pooling approaches for SARS-CoV-2 testing allow a drastic increase in throughput while maintaining clinical sensitivity. We report the successful large-scale pooled screening of asymptomatic populations.
doi_str_mv 10.1016/j.cmi.2020.06.009
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Because of the overwhelming use of SARS-CoV-2 reverse transcription (RT)-PCR tests worldwide, the availability of test kits has become a major bottleneck and the need to increase testing throughput is rising. We aim to overcome these challenges by pooling samples together, and performing RNA extraction and RT-PCR in pools. We tested the efficiency and sensitivity of pooling strategies for RNA extraction and RT-PCR detection of SARS-CoV-2. We tested 184 samples both individually and in pools to estimate the effects of pooling. We further implemented Dorfman pooling with a pool size of eight samples in large-scale clinical tests. We demonstrated pooling strategies that increase testing throughput while maintaining high sensitivity. A comparison of 184 samples tested individually and in pools of eight samples showed that test results were not significantly affected. Implementing the eight-sample Dorfman pooling to test 26 576 samples from asymptomatic individuals, we identified 31 (0.12%) SARS-CoV-2 positive samples, achieving a 7.3-fold increase in throughput. Pooling approaches for SARS-CoV-2 testing allow a drastic increase in throughput while maintaining clinical sensitivity. We report the successful large-scale pooled screening of asymptomatic populations.</description><identifier>ISSN: 1198-743X</identifier><identifier>EISSN: 1469-0691</identifier><identifier>DOI: 10.1016/j.cmi.2020.06.009</identifier><identifier>PMID: 32585353</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Betacoronavirus - genetics ; Betacoronavirus - isolation &amp; purification ; Clinical Laboratory Techniques - methods ; Coronavirus Infections - diagnosis ; Coronavirus Infections - epidemiology ; COVID-19 ; COVID-19 Testing ; Diagnostic Tests, Routine ; Diagnostics ; Group testing ; Humans ; Infectious diseases ; Original ; Pandemics ; Pneumonia, Viral - diagnosis ; Pneumonia, Viral - epidemiology ; Reproducibility of Results ; Reverse Transcriptase Polymerase Chain Reaction ; RNA, Viral - genetics ; RT-PCR ; SARS-CoV-2 ; Sensitivity and Specificity ; Specimen Handling</subject><ispartof>Clinical microbiology and infection, 2020-09, Vol.26 (9), p.1248-1253</ispartof><rights>2020 European Society of Clinical Microbiology and Infectious Diseases</rights><rights>Copyright © 2020 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.</rights><rights>2020 European Society of Clinical Microbiology and Infectious Diseases. 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D.</creatorcontrib><creatorcontrib>Steinberg, D.</creatorcontrib><creatorcontrib>Ben Zvi, D.</creatorcontrib><creatorcontrib>Shpigel, E.</creatorcontrib><creatorcontrib>Atlan, G.</creatorcontrib><creatorcontrib>Klein, H.</creatorcontrib><creatorcontrib>Chekroun, H.</creatorcontrib><creatorcontrib>Shani, H.</creatorcontrib><creatorcontrib>Hazan, I.</creatorcontrib><creatorcontrib>Ansari, I.</creatorcontrib><creatorcontrib>Magenheim, I.</creatorcontrib><creatorcontrib>Moss, J.</creatorcontrib><creatorcontrib>Magenheim, J.</creatorcontrib><creatorcontrib>Peretz, L.</creatorcontrib><creatorcontrib>Feigin, L.</creatorcontrib><creatorcontrib>Saraby, M.</creatorcontrib><creatorcontrib>Sherman, M.</creatorcontrib><creatorcontrib>Bentata, M.</creatorcontrib><creatorcontrib>Avital, M.</creatorcontrib><creatorcontrib>Kott, M.</creatorcontrib><creatorcontrib>Peyser, M.</creatorcontrib><creatorcontrib>Weitz, M.</creatorcontrib><creatorcontrib>Shacham, M.</creatorcontrib><creatorcontrib>Grunewald, 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A.</creatorcontrib><creatorcontrib>Dekel, A.</creatorcontrib><creatorcontrib>Yeffet, A.</creatorcontrib><creatorcontrib>Shaag, A.</creatorcontrib><creatorcontrib>Michael-Gayego, A.</creatorcontrib><creatorcontrib>Shay, E.</creatorcontrib><creatorcontrib>Arbib, E.</creatorcontrib><creatorcontrib>Onallah, H.</creatorcontrib><creatorcontrib>Ben-Meir, K.</creatorcontrib><creatorcontrib>Levinzon, L.</creatorcontrib><creatorcontrib>Cohen-Daniel, L.</creatorcontrib><creatorcontrib>Natan, L.</creatorcontrib><creatorcontrib>Hamdan, M.</creatorcontrib><creatorcontrib>Rivkin, M.</creatorcontrib><creatorcontrib>Shwieki, M.</creatorcontrib><creatorcontrib>Vorontsov, O.</creatorcontrib><creatorcontrib>Barsuk, R.</creatorcontrib><creatorcontrib>Abramovitch, R.</creatorcontrib><creatorcontrib>Gutorov, R.</creatorcontrib><creatorcontrib>Sirhan, S.</creatorcontrib><creatorcontrib>Abdeen, S.</creatorcontrib><creatorcontrib>Yachnin, Y.</creatorcontrib><creatorcontrib>Daitch, Y.</creatorcontrib><creatorcontrib>The Hebrew University-Hadassah COVID-19 Diagnosis Team</creatorcontrib><creatorcontrib>Hebrew University-Hadassah COVID-19 Diagnosis Team</creatorcontrib><title>Large-scale implementation of pooled RNA extraction and RT-PCR for SARS-CoV-2 detection</title><title>Clinical microbiology and infection</title><addtitle>Clin Microbiol Infect</addtitle><description>Testing for active SARS-CoV-2 infection is a fundamental tool in the public health measures taken to control the COVID-19 pandemic. Because of the overwhelming use of SARS-CoV-2 reverse transcription (RT)-PCR tests worldwide, the availability of test kits has become a major bottleneck and the need to increase testing throughput is rising. We aim to overcome these challenges by pooling samples together, and performing RNA extraction and RT-PCR in pools. We tested the efficiency and sensitivity of pooling strategies for RNA extraction and RT-PCR detection of SARS-CoV-2. We tested 184 samples both individually and in pools to estimate the effects of pooling. We further implemented Dorfman pooling with a pool size of eight samples in large-scale clinical tests. We demonstrated pooling strategies that increase testing throughput while maintaining high sensitivity. A comparison of 184 samples tested individually and in pools of eight samples showed that test results were not significantly affected. Implementing the eight-sample Dorfman pooling to test 26 576 samples from asymptomatic individuals, we identified 31 (0.12%) SARS-CoV-2 positive samples, achieving a 7.3-fold increase in throughput. Pooling approaches for SARS-CoV-2 testing allow a drastic increase in throughput while maintaining clinical sensitivity. We report the successful large-scale pooled screening of asymptomatic populations.</description><subject>Betacoronavirus - genetics</subject><subject>Betacoronavirus - isolation &amp; purification</subject><subject>Clinical Laboratory Techniques - methods</subject><subject>Coronavirus Infections - diagnosis</subject><subject>Coronavirus Infections - epidemiology</subject><subject>COVID-19</subject><subject>COVID-19 Testing</subject><subject>Diagnostic Tests, Routine</subject><subject>Diagnostics</subject><subject>Group testing</subject><subject>Humans</subject><subject>Infectious diseases</subject><subject>Original</subject><subject>Pandemics</subject><subject>Pneumonia, Viral - diagnosis</subject><subject>Pneumonia, Viral - epidemiology</subject><subject>Reproducibility of Results</subject><subject>Reverse Transcriptase Polymerase Chain Reaction</subject><subject>RNA, Viral - genetics</subject><subject>RT-PCR</subject><subject>SARS-CoV-2</subject><subject>Sensitivity and Specificity</subject><subject>Specimen Handling</subject><issn>1198-743X</issn><issn>1469-0691</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUtv1DAURi1ERR_wA9igLNk4-J1YSEijERSkEUXT8thZjn1TPEriwc5U8O_r6ZQKNl3Z8j3389U9CL2kpKaEqjeb2o2hZoSRmqiaEP0EnVChNCZK06flTnWLG8F_HKPTnDeEEMa5eIaOOZOt5JKfoO8rm64BZ2cHqMK4HWCEabZziFMV-2ob4wC-Wn9eVPB7TtbdFexUnq7wl-W66mOqLhfrS7yM3zCrPMxwxzxHR70dMry4P8_Q1w_vr5Yf8eri_NNyscJOMjpj1bK-6xyTwnXSS0uZFcC0Yl5R76hvHQcmHNEFt4QLytpeC901UqselORn6N0hd7vrRvCuDJ_sYLYpjDb9MdEG839lCj_NdbwxDSdt06gS8Po-IMVfO8izGUN2MAx2grjLhgnaUiYU36P0gLoUc07QP3xDidkLMRtThJi9EEOUKUJKz6t_53vo-GugAG8PAJQt3QRIJrsAkwMfUlml8TE8En8LIcSbJQ</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Ben-Ami, R.</creator><creator>Klochendler, A.</creator><creator>Seidel, M.</creator><creator>Sido, T.</creator><creator>Gurel-Gurevich, O.</creator><creator>Yassour, M.</creator><creator>Meshorer, E.</creator><creator>Benedek, G.</creator><creator>Fogel, I.</creator><creator>Oiknine-Djian, E.</creator><creator>Gertler, A.</creator><creator>Rotstein, Z.</creator><creator>Lavi, B.</creator><creator>Dor, Y.</creator><creator>Wolf, D.G.</creator><creator>Salton, M.</creator><creator>Drier, Y.</creator><creator>Klochendler, A.</creator><creator>Eden, A.</creator><creator>Klar, A.</creator><creator>Geldman, A.</creator><creator>Arbel, A.</creator><creator>Peretz, A.</creator><creator>Shalom, B.</creator><creator>Ochana, B.L.</creator><creator>Avrahami-Tzfati, D.</creator><creator>Neiman, D.</creator><creator>Steinberg, D.</creator><creator>Ben Zvi, D.</creator><creator>Shpigel, E.</creator><creator>Atlan, G.</creator><creator>Klein, H.</creator><creator>Chekroun, H.</creator><creator>Shani, H.</creator><creator>Hazan, I.</creator><creator>Ansari, I.</creator><creator>Magenheim, I.</creator><creator>Moss, J.</creator><creator>Magenheim, J.</creator><creator>Peretz, L.</creator><creator>Feigin, L.</creator><creator>Saraby, M.</creator><creator>Sherman, M.</creator><creator>Bentata, M.</creator><creator>Avital, M.</creator><creator>Kott, M.</creator><creator>Peyser, M.</creator><creator>Weitz, M.</creator><creator>Shacham, M.</creator><creator>Grunewald, M.</creator><creator>Sasson, N.</creator><creator>Wallis, N.</creator><creator>Azazmeh, N.</creator><creator>Tzarum, N.</creator><creator>Fridlich, O.</creator><creator>Sher, R.</creator><creator>Condiotti, R.</creator><creator>Refaeli, R.</creator><creator>Ben Ami, R.</creator><creator>Zaken-Gallili, R.</creator><creator>Helman, R.</creator><creator>Ofek, S.</creator><creator>Tzaban, S.</creator><creator>Piyanzin, S.</creator><creator>Anzi, S.</creator><creator>Dagan, S.</creator><creator>Lilenthal, S.</creator><creator>Sido, T.</creator><creator>Licht, T.</creator><creator>Friehmann, T.</creator><creator>Kaufman, Y.</creator><creator>Pery, A.</creator><creator>Saada, A.</creator><creator>Dekel, A.</creator><creator>Yeffet, A.</creator><creator>Shaag, A.</creator><creator>Michael-Gayego, A.</creator><creator>Shay, E.</creator><creator>Arbib, E.</creator><creator>Onallah, H.</creator><creator>Ben-Meir, K.</creator><creator>Levinzon, L.</creator><creator>Cohen-Daniel, L.</creator><creator>Natan, L.</creator><creator>Hamdan, M.</creator><creator>Rivkin, M.</creator><creator>Shwieki, M.</creator><creator>Vorontsov, O.</creator><creator>Barsuk, R.</creator><creator>Abramovitch, R.</creator><creator>Gutorov, R.</creator><creator>Sirhan, S.</creator><creator>Abdeen, S.</creator><creator>Yachnin, Y.</creator><creator>Daitch, Y.</creator><general>Elsevier Ltd</general><general>European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20200901</creationdate><title>Large-scale implementation of pooled RNA extraction and RT-PCR for SARS-CoV-2 detection</title><author>Ben-Ami, R. ; Klochendler, A. ; Seidel, M. ; Sido, T. ; Gurel-Gurevich, O. ; Yassour, M. ; Meshorer, E. ; Benedek, G. ; Fogel, I. ; Oiknine-Djian, E. ; Gertler, A. ; Rotstein, Z. ; Lavi, B. ; Dor, Y. ; Wolf, D.G. ; Salton, M. ; Drier, Y. ; Klochendler, A. ; Eden, A. ; Klar, A. ; Geldman, A. ; Arbel, A. ; Peretz, A. ; Shalom, B. ; Ochana, B.L. ; Avrahami-Tzfati, D. ; Neiman, D. ; Steinberg, D. ; Ben Zvi, D. ; Shpigel, E. ; Atlan, G. ; Klein, H. ; Chekroun, H. ; Shani, H. ; Hazan, I. ; Ansari, I. ; Magenheim, I. ; Moss, J. ; Magenheim, J. ; Peretz, L. ; Feigin, L. ; Saraby, M. ; Sherman, M. ; Bentata, M. ; Avital, M. ; Kott, M. ; Peyser, M. ; Weitz, M. ; Shacham, M. ; Grunewald, M. ; Sasson, N. ; Wallis, N. ; Azazmeh, N. ; Tzarum, N. ; Fridlich, O. ; Sher, R. ; Condiotti, R. ; Refaeli, R. ; Ben Ami, R. ; Zaken-Gallili, R. ; Helman, R. ; Ofek, S. ; Tzaban, S. ; Piyanzin, S. ; Anzi, S. ; Dagan, S. ; Lilenthal, S. ; Sido, T. ; Licht, T. ; Friehmann, T. ; Kaufman, Y. ; Pery, A. ; Saada, A. ; Dekel, A. ; Yeffet, A. ; Shaag, A. ; Michael-Gayego, A. ; Shay, E. ; Arbib, E. ; Onallah, H. ; Ben-Meir, K. ; Levinzon, L. ; Cohen-Daniel, L. ; Natan, L. ; Hamdan, M. ; Rivkin, M. ; Shwieki, M. ; Vorontsov, O. ; Barsuk, R. ; Abramovitch, R. ; Gutorov, R. ; Sirhan, S. ; Abdeen, S. ; Yachnin, Y. ; Daitch, Y.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c521t-682fbbc254cb5d5a12a4e2962d61dc1d8c3e24c09c52a034128f949b7596fe653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Betacoronavirus - 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T.</au><au>Gurel-Gurevich, O.</au><au>Yassour, M.</au><au>Meshorer, E.</au><au>Benedek, G.</au><au>Fogel, I.</au><au>Oiknine-Djian, E.</au><au>Gertler, A.</au><au>Rotstein, Z.</au><au>Lavi, B.</au><au>Dor, Y.</au><au>Wolf, D.G.</au><au>Salton, M.</au><au>Drier, Y.</au><au>Klochendler, A.</au><au>Eden, A.</au><au>Klar, A.</au><au>Geldman, A.</au><au>Arbel, A.</au><au>Peretz, A.</au><au>Shalom, B.</au><au>Ochana, B.L.</au><au>Avrahami-Tzfati, D.</au><au>Neiman, D.</au><au>Steinberg, D.</au><au>Ben Zvi, D.</au><au>Shpigel, E.</au><au>Atlan, G.</au><au>Klein, H.</au><au>Chekroun, H.</au><au>Shani, H.</au><au>Hazan, I.</au><au>Ansari, I.</au><au>Magenheim, I.</au><au>Moss, J.</au><au>Magenheim, J.</au><au>Peretz, L.</au><au>Feigin, L.</au><au>Saraby, M.</au><au>Sherman, M.</au><au>Bentata, M.</au><au>Avital, M.</au><au>Kott, M.</au><au>Peyser, M.</au><au>Weitz, M.</au><au>Shacham, M.</au><au>Grunewald, M.</au><au>Sasson, N.</au><au>Wallis, N.</au><au>Azazmeh, N.</au><au>Tzarum, N.</au><au>Fridlich, O.</au><au>Sher, R.</au><au>Condiotti, R.</au><au>Refaeli, R.</au><au>Ben Ami, R.</au><au>Zaken-Gallili, R.</au><au>Helman, R.</au><au>Ofek, S.</au><au>Tzaban, S.</au><au>Piyanzin, S.</au><au>Anzi, S.</au><au>Dagan, S.</au><au>Lilenthal, S.</au><au>Sido, T.</au><au>Licht, T.</au><au>Friehmann, T.</au><au>Kaufman, Y.</au><au>Pery, A.</au><au>Saada, A.</au><au>Dekel, A.</au><au>Yeffet, A.</au><au>Shaag, A.</au><au>Michael-Gayego, A.</au><au>Shay, E.</au><au>Arbib, E.</au><au>Onallah, H.</au><au>Ben-Meir, K.</au><au>Levinzon, L.</au><au>Cohen-Daniel, L.</au><au>Natan, L.</au><au>Hamdan, M.</au><au>Rivkin, M.</au><au>Shwieki, M.</au><au>Vorontsov, O.</au><au>Barsuk, R.</au><au>Abramovitch, R.</au><au>Gutorov, R.</au><au>Sirhan, S.</au><au>Abdeen, S.</au><au>Yachnin, Y.</au><au>Daitch, Y.</au><aucorp>The Hebrew University-Hadassah COVID-19 Diagnosis Team</aucorp><aucorp>Hebrew University-Hadassah COVID-19 Diagnosis Team</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Large-scale implementation of pooled RNA extraction and RT-PCR for SARS-CoV-2 detection</atitle><jtitle>Clinical microbiology and infection</jtitle><addtitle>Clin Microbiol Infect</addtitle><date>2020-09-01</date><risdate>2020</risdate><volume>26</volume><issue>9</issue><spage>1248</spage><epage>1253</epage><pages>1248-1253</pages><issn>1198-743X</issn><eissn>1469-0691</eissn><abstract>Testing for active SARS-CoV-2 infection is a fundamental tool in the public health measures taken to control the COVID-19 pandemic. Because of the overwhelming use of SARS-CoV-2 reverse transcription (RT)-PCR tests worldwide, the availability of test kits has become a major bottleneck and the need to increase testing throughput is rising. We aim to overcome these challenges by pooling samples together, and performing RNA extraction and RT-PCR in pools. We tested the efficiency and sensitivity of pooling strategies for RNA extraction and RT-PCR detection of SARS-CoV-2. We tested 184 samples both individually and in pools to estimate the effects of pooling. We further implemented Dorfman pooling with a pool size of eight samples in large-scale clinical tests. We demonstrated pooling strategies that increase testing throughput while maintaining high sensitivity. A comparison of 184 samples tested individually and in pools of eight samples showed that test results were not significantly affected. Implementing the eight-sample Dorfman pooling to test 26 576 samples from asymptomatic individuals, we identified 31 (0.12%) SARS-CoV-2 positive samples, achieving a 7.3-fold increase in throughput. Pooling approaches for SARS-CoV-2 testing allow a drastic increase in throughput while maintaining clinical sensitivity. We report the successful large-scale pooled screening of asymptomatic populations.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>32585353</pmid><doi>10.1016/j.cmi.2020.06.009</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
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subjects Betacoronavirus - genetics
Betacoronavirus - isolation & purification
Clinical Laboratory Techniques - methods
Coronavirus Infections - diagnosis
Coronavirus Infections - epidemiology
COVID-19
COVID-19 Testing
Diagnostic Tests, Routine
Diagnostics
Group testing
Humans
Infectious diseases
Original
Pandemics
Pneumonia, Viral - diagnosis
Pneumonia, Viral - epidemiology
Reproducibility of Results
Reverse Transcriptase Polymerase Chain Reaction
RNA, Viral - genetics
RT-PCR
SARS-CoV-2
Sensitivity and Specificity
Specimen Handling
title Large-scale implementation of pooled RNA extraction and RT-PCR for SARS-CoV-2 detection
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