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Shotgun Transcriptome and Isothermal Profiling of SARS-CoV-2 Infection Reveals Unique Host Responses, Viral Diversification, and Drug Interactions.
Butler, Daniel J; Mozsary, Christopher; Meydan, Cem; Danko, David; Foox, Jonathan; Rosiene, Joel; Shaiber, Alon; Afshinnekoo, Ebrahim; MacKay, Matthew; Sedlazeck, Fritz J; Ivanov, Nikolay A; Sierra, Maria; Pohle, Diana; Zietz, Michael; Gisladottir, Undina; Ramlall, Vijendra; Westover, Craig D; Ryon, Krista; Young, Benjamin; Bhattacharya, Chandrima; Ruggiero, Phyllis; Langhorst, Bradley W; Tanner, Nathan; Gawrys, Justyna; Meleshko, Dmitry; Xu, Dong; Steel, Peter A D; Shemesh, Amos J; Xiang, Jenny; Thierry-Mieg, Jean; Thierry-Mieg, Danielle; Schwartz, Robert E; Iftner, Angelika; Bezdan, Daniela; Sipley, John; Cong, Lin; Craney, Arryn; Velu, Priya; Melnick, Ari M; Hajirasouliha, Iman; Horner, Stacy M; Iftner, Thomas; Salvatore, Mirella; Loda, Massimo; Westblade, Lars F; Cushing, Melissa; Levy, Shawn; Wu, Shixiu; Tatonetti, Nicholas; Imielinski, Marcin.
  • Butler DJ; Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA.
  • Mozsary C; Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA.
  • Meydan C; Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA.
  • Danko D; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA.
  • Foox J; WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, NY, USA.
  • Rosiene J; Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA.
  • Shaiber A; Tri-Institutional Computational Biol. & Medicine Program, Weill Cornell Medicine, NY, USA.
  • Afshinnekoo E; Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA.
  • MacKay M; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA.
  • Sedlazeck FJ; New York Genome Center, NY, USA.
  • Ivanov NA; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA.
  • Sierra M; New York Genome Center, NY, USA.
  • Pohle D; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA.
  • Zietz M; Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, NY, USA.
  • Gisladottir U; Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA.
  • Ramlall V; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA.
  • Westover CD; WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, NY, USA.
  • Ryon K; Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA.
  • Young B; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
  • Bhattacharya C; Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA.
  • Ruggiero P; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA.
  • Langhorst BW; Clinical & Translational Science Center, Weill Cornell Medicine, NY, USA.
  • Tanner N; Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA.
  • Gawrys J; Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Germany.
  • Meleshko D; Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, NY, USA.
  • Xu D; Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, NY, USA.
  • Steel PAD; Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, NY, USA.
  • Shemesh AJ; Department of Cellular, Molecular Physiology & Biophysics, Columbia University, NY, USA.
  • Xiang J; Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA.
  • Thierry-Mieg J; Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA.
  • Thierry-Mieg D; Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA.
  • Schwartz RE; Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA.
  • Iftner A; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA.
  • Bezdan D; New England Biolabs, MA, USA.
  • Sipley J; New England Biolabs, MA, USA.
  • Cong L; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA.
  • Craney A; Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA.
  • Velu P; Tri-Institutional Computational Biol. & Medicine Program, Weill Cornell Medicine, NY, USA.
  • Melnick AM; Genomics Resources Core Facility, Weill Cornell Medicine, NY, USA.
  • Hajirasouliha I; Department of Emergency Medicine, Weill Cornell Medicine, NY, USA.
  • Horner SM; Department of Emergency Medicine, Weill Cornell Medicine, NY, USA.
  • Iftner T; Genomics Resources Core Facility, Weill Cornell Medicine, NY, USA.
  • Salvatore M; Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, NY, USA.
  • Loda M; National Center for Biotechnology Information, National Library of Medicine, National Institute of Health, MD, USA.
  • Westblade LF; National Center for Biotechnology Information, National Library of Medicine, National Institute of Health, MD, USA.
  • Cushing M; Department of Medicine, Weill Cornell Medicine, NY, USA.
  • Levy S; Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Germany.
  • Wu S; Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Germany.
  • Tatonetti N; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA.
  • Imielinski M; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA.
bioRxiv ; 2020 May 01.
Article in English | MEDLINE | ID: covidwho-823190
ABSTRACT
The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has caused thousands of deaths worldwide, including >18,000 in New York City (NYC) alone. The sudden emergence of this pandemic has highlighted a pressing clinical need for rapid, scalable diagnostics that can detect infection, interrogate strain evolution, and identify novel patient biomarkers. To address these challenges, we designed a fast (30-minute) colorimetric test (LAMP) for SARS-CoV-2 infection from naso/oropharyngeal swabs, plus a large-scale shotgun metatranscriptomics platform (total-RNA-seq) for host, bacterial, and viral profiling. We applied both technologies across 857 SARS-CoV-2 clinical specimens and 86 NYC subway samples, providing a broad molecular portrait of the COVID-19 NYC outbreak. Our results define new features of SARS-CoV-2 evolution, nominate a novel, NYC-enriched viral subclade, reveal specific host responses in interferon, ACE, hematological, and olfaction pathways, and examine risks associated with use of ACE inhibitors and angiotensin receptor blockers. Together, these findings have immediate applications to SARS-CoV-2 diagnostics, public health, and new therapeutic targets.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2020 Document Type: Article Affiliation country: 2020.04.20.048066

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2020 Document Type: Article Affiliation country: 2020.04.20.048066