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dc.contributor.authorMandujano, Gerardo Ramos-
dc.contributor.authorSalunke, Rahul Pandurang
dc.contributor.authorMfarrej, Sara
dc.contributor.authorRachmadi, Andri Taruna
dc.contributor.authorHala, Sharif
dc.contributor.authorXu, Jinna
dc.contributor.authorAlofi, Fadwa S.
dc.contributor.authorKhogeer, Asim
dc.contributor.authorHashem, Anwar M.
dc.contributor.authorAlmontashiri, Naif A. M.
dc.contributor.authorAlsomali, Afrah
dc.contributor.authorShinde, Digambar
dc.contributor.authorHamdan, Samir
dc.contributor.authorHong, Pei-Ying
dc.contributor.authorPain, Arnab
dc.contributor.authorLi, Mo
dc.date.accessioned2021-02-23T06:14:00Z
dc.date.available2020-07-01T11:58:29Z
dc.date.available2021-02-23T06:14:00Z
dc.date.issued2021-02-22
dc.date.submitted2020-07-31
dc.identifier.citationRamos-Mandujano, G., Salunke, R., Mfarrej, S., Rachmadi, A. T., Hala, S., Xu, J., … Li, M. (2021). A Robust, Safe, and Scalable Magnetic Nanoparticle Workflow for RNA Extraction of Pathogens from Clinical and Wastewater Samples. Global Challenges, 2000068. doi:10.1002/gch2.202000068
dc.identifier.issn2056-6646
dc.identifier.issn2056-6646
dc.identifier.doi10.1002/gch2.202000068
dc.identifier.urihttp://hdl.handle.net/10754/663963
dc.description.abstractMolecular diagnosis and surveillance of pathogens such as SARS-CoV-2 depend on nucleic acid isolation. Pandemics at the scale of COVID-19 can cause a global shortage of proprietary commercial reagents and BSL-2 laboratories to safely perform testing. Therefore, alternative solutions are urgently needed to address these challenges. An open-source method, magnetic-nanoparticle-aided viral RNA isolation from contagious samples (MAVRICS), built upon readily available reagents, and easily assembled in any basically equipped laboratory, is thus developed. The performance of MAVRICS is evaluated using validated pathogen detection assays and real-world and contrived samples. Unlike conventional methods, MAVRICS works directly in samples inactivated in phenol-chloroform (e.g., TRIzol), thus allowing infectious samples to be handled safely without biocontainment facilities. MAVRICS allows wastewater biomass immobilized on membranes to be directly inactivated and lysed in TRIzol followed by RNA extraction by magnetic nanoparticles, thereby greatly reducing biohazard risk and simplifying processing procedures. Using 39 COVID-19 patient samples and two wastewater samples, it is shown that MAVRICS rivals commercial kits in detection of SARS-CoV-2, influenza viruses, and respiratory syncytial virus. Therefore, MAVRICS is safe, fast, and scalable. It is field-deployable with minimal equipment requirements and could become an enabling technology for widespread testing and wastewater monitoring of diverse pathogens.
dc.description.sponsorshipThe authors thank KAUST Rapid Research Response Team (R3T) for supporting the research during the COVID-19 crisis. The authors thank members of the KAUST R3T for generously sharing materials and advices. The authors thank Professor Imed Gallouzi of McGill University for the useful discussion. The authors thank members of the Li laboratory, Chongwei Bi, Baolei Yuan, Xuan Zhou, Samhan Alsolami, Yingzi Zhang, and Yeteng Tian for helpful discussions; Marie Krenz Y. Sicat for administrative support. The authors thank members of the labs of Prof. Arnab Pain and Prof. Zhiping Lai for technical assistance. The research of the Li laboratory was supported by KAUST Office of Sponsored Research (OSR), under award numbers BAS/1/1080-01. A.M.H. is supported by funding from the deputyship for Research and Innovation, Ministry of Education in Saudi Arabia (project number 436). N.A.M.A. is supported by funding from the Deanship of Scientific Research, Taibah University, Saudi Arabia (project number AMS-12).
dc.publisherWiley
dc.relation.urlhttps://onlinelibrary.wiley.com/doi/10.1002/gch2.202000068
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleA Robust, Safe, and Scalable Magnetic Nanoparticle Workflow for RNA Extraction of Pathogens from Clinical and Wastewater Samples
dc.typeArticle
dc.contributor.departmentBiological and Environmental Sciences and Engineering Division (BESE) King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Kingdom of Saudi Arabia
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentBioscience Program
dc.contributor.departmentAdvanced Membranes and Porous Materials Research Center
dc.identifier.journalGlobal Challenges
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionKing Abdullah International Medical Research Centre King Saud University for Health Sciences Ministry of National Guard Health Affairs Jeddah 21859 Saudi Arabia
dc.contributor.institutionInfectious Diseases Department King Fahad Hospital Almadinah Almunwarah 11525 Saudi Arabia
dc.contributor.institutionPlan and Research Department General Directorate of Health Affairs Makkah Region Ministry of Health Mecca 11176 Saudi Arabia
dc.contributor.institutionVaccines and Immunotherapy Unit King Fahd Medical Research Center King Abdulaziz University Jeddah 21859 Saudi Arabia
dc.contributor.institutionDepartment of Medical Microbiology and Parasitology Faculty of Medicine King Abdulaziz University Jeddah 21859 Saudi Arabia
dc.contributor.institutionCollege of Applied Medical Sciences Taibah University Almadinah Almunwarah 71491 Saudi Arabia
dc.contributor.institutionCenter for Genetics and Inherited Diseases Taibah University Almadinah Almunwarah 71491 Saudi Arabia
dc.contributor.institutionInfectious Diseases Department King Abdullah Medical Complex Jeddah 24246 Saudi Arabia
dc.identifier.pages2000068
kaust.personRamos-Mandujano, Gerardo
kaust.personSalunke, Rahul Pandurang
kaust.personMfarrej, Sara
kaust.personRachmadi, Andri Taruna
kaust.personHala, Sharif
kaust.personXu, Jinna
kaust.personShinde, Digambar
kaust.personHamdan, Samir
kaust.personHong, Pei-Ying
kaust.personPain, Arnab
kaust.personLi, Mo
kaust.grant.numberBAS/1/1080-01
dc.date.accepted2020-12-17
refterms.dateFOA2020-07-01T11:58:59Z
kaust.acknowledged.supportUnitKAUST Office of Sponsored Research (OSR)


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This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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