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Shotgun transcriptome, spatial omics, and isothermal profiling of SARS-CoV-2 infection reveals unique host responses, viral diversification, and drug interactions.
Butler, Daniel; Mozsary, Christopher; Meydan, Cem; Foox, Jonathan; Rosiene, Joel; Shaiber, Alon; Danko, David; Afshinnekoo, Ebrahim; MacKay, Matthew; Sedlazeck, Fritz J; Ivanov, Nikolay A; Sierra, Maria; Pohle, Diana; Zietz, Michael; Gisladottir, Undina; Ramlall, Vijendra; Sholle, Evan T; Schenck, Edward J; Westover, Craig D; Hassan, Ciaran; Ryon, Krista; Young, Benjamin; Bhattacharya, Chandrima; Ng, Dianna L; Granados, Andrea C; Santos, Yale A; Servellita, Venice; Federman, Scot; Ruggiero, Phyllis; Fungtammasan, Arkarachai; Chin, Chen-Shan; Pearson, Nathaniel M; Langhorst, Bradley W; Tanner, Nathan A; Kim, Youngmi; Reeves, Jason W; Hether, Tyler D; Warren, Sarah E; Bailey, Michael; Gawrys, Justyna; Meleshko, Dmitry; Xu, Dong; Couto-Rodriguez, Mara; Nagy-Szakal, Dorottya; Barrows, Joseph; Wells, Heather; O'Hara, Niamh B; Rosenfeld, Jeffrey A; Chen, Ying; Steel, Peter A D.
  • Butler D; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Mozsary C; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Meydan C; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Foox J; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
  • Rosiene J; WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA.
  • Shaiber A; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Danko D; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
  • Afshinnekoo E; New York Genome Center, New York, NY, USA.
  • MacKay M; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
  • Sedlazeck FJ; New York Genome Center, New York, NY, USA.
  • Ivanov NA; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
  • Sierra M; Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA.
  • Pohle D; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Zietz M; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Gisladottir U; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
  • Ramlall V; WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA.
  • Sholle ET; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Schenck EJ; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
  • Westover CD; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Hassan C; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
  • Ryon K; Clinical & Translational Science Center, Weill Cornell Medicine, New York, NY, USA.
  • Young B; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Bhattacharya C; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
  • Ng DL; Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Tuebingen, Germany.
  • Granados AC; Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA.
  • Santos YA; Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA.
  • Servellita V; Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA.
  • Federman S; Department of Cellular, Molecular Physiology & Biophysics, Columbia University, Columbia, NY, USA.
  • Ruggiero P; Information Technologies & Services Department, Weill Cornell Medicine, New York, NY, USA.
  • Fungtammasan A; Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
  • Chin CS; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Pearson NM; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Langhorst BW; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Tanner NA; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Kim Y; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Reeves JW; Department of Laboratory Medicine, University of California, San Francisco, CA, USA.
  • Hether TD; Department of Laboratory Medicine, University of California, San Francisco, CA, USA.
  • Warren SE; UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA.
  • Bailey M; Department of Laboratory Medicine, University of California, San Francisco, CA, USA.
  • Gawrys J; UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA.
  • Meleshko D; Department of Laboratory Medicine, University of California, San Francisco, CA, USA.
  • Xu D; UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA.
  • Couto-Rodriguez M; Department of Laboratory Medicine, University of California, San Francisco, CA, USA.
  • Nagy-Szakal D; UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA.
  • Barrows J; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
  • Wells H; DNAnexus, Inc., Mountain View, CA, USA.
  • O'Hara NB; DNAnexus, Inc., Mountain View, CA, USA.
  • Rosenfeld JA; Root Deep Insight, Boston, MA, USA.
  • Chen Y; New England Biolabs, Ipswich, MA, USA.
  • Steel PAD; New England Biolabs, Ipswich, MA, USA.
Nat Commun ; 12(1): 1660, 2021 03 12.
Article in English | MEDLINE | ID: covidwho-1132065
ABSTRACT
In less than nine months, the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) killed over a million people, including >25,000 in New York City (NYC) alone. The COVID-19 pandemic caused by SARS-CoV-2 highlights clinical needs to detect infection, track strain evolution, and identify biomarkers of disease course. To address these challenges, we designed a fast (30-minute) colorimetric test (LAMP) for SARS-CoV-2 infection from naso/oropharyngeal swabs and a large-scale shotgun metatranscriptomics platform (total-RNA-seq) for host, viral, and microbial profiling. We applied these methods to clinical specimens gathered from 669 patients in New York City during the first two months of the outbreak, yielding a broad molecular portrait of the emerging COVID-19 disease. We find significant enrichment of a NYC-distinctive clade of the virus (20C), as well as host responses in interferon, ACE, hematological, and olfaction pathways. In addition, we use 50,821 patient records to find that renin-angiotensin-aldosterone system inhibitors have a protective effect for severe COVID-19 outcomes, unlike similar drugs. Finally, spatial transcriptomic data from COVID-19 patient autopsy tissues reveal distinct ACE2 expression loci, with macrophage and neutrophil infiltration in the lungs. These findings can inform public health and may help develop and drive SARS-CoV-2 diagnostic, prevention, and treatment strategies.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: North America Language: English Journal: Nat Commun Journal subject: Biology / Science Year: 2021 Document Type: Article Affiliation country: S41467-021-21361-7

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: North America Language: English Journal: Nat Commun Journal subject: Biology / Science Year: 2021 Document Type: Article Affiliation country: S41467-021-21361-7