Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

A BioID-derived proximity interactome for SARS-CoV-2 proteins

Danielle G. May, Laura Martin-Sancho, Valesca Anschau, Sophie Liu, Rachel J. Chrisopulos, Kelsey L. Scott, Charles T. Halfmann, Ramon Díaz Peña, Dexter Pratt, Alexandre R. Campos, Kyle J. Roux
doi: https://doi.org/10.1101/2021.09.17.460814
Danielle G. May
1Enabling Technologies Group, Sanford Research, Sioux Falls, SD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Laura Martin-Sancho
2Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Valesca Anschau
2Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sophie Liu
3Division of Genetics, Department of Medicine, University of California, San Diego, CA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rachel J. Chrisopulos
1Enabling Technologies Group, Sanford Research, Sioux Falls, SD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kelsey L. Scott
1Enabling Technologies Group, Sanford Research, Sioux Falls, SD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Charles T. Halfmann
1Enabling Technologies Group, Sanford Research, Sioux Falls, SD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ramon Díaz Peña
2Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dexter Pratt
3Division of Genetics, Department of Medicine, University of California, San Diego, CA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alexandre R. Campos
2Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: kyle.roux@sanfordhealth.org
Kyle J. Roux
1Enabling Technologies Group, Sanford Research, Sioux Falls, SD
4Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: kyle.roux@sanfordhealth.org
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading

Abstract

The novel coronavirus SARS-CoV-2 is responsible for the ongoing COVID-19 pandemic and has caused a major health and economic burden worldwide. Understanding how SARS-CoV-2 viral proteins behave in host cells can reveal underlying mechanisms of pathogenesis and assist in development of antiviral therapies. Here we use BioID to map the SARS-CoV-2 virus-host interactome using human lung cancer derived A549 cells expressing individual SARS-CoV-2 viral proteins. Functional enrichment analyses revealed previously reported and unreported cellular pathways that are in association with SARS-CoV-2 proteins. We have also established a website to host the proteomic data to allow for public access and continued analysis of host-viral protein associations and whole-cell proteomes of cells expressing the viral-BioID fusion proteins. Collectively, these studies provide a valuable resource to potentially uncover novel SARS-CoV-2 biology and inform development of antivirals.

Competing Interest Statement

Sanford Research has licensed BioID reagents to BioFront Technologies. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Footnotes

  • https://alexproteomics.shinyapps.io/covid19proteomics

  • https://www.ndexbio.org/viewer/networks/275bd84e-3d18-11e8-a935-0ac135e8bacf

  • https://doi.org/10.18119/N9531R

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted September 21, 2021.
Download PDF

Supplementary Material

Data/Code
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
A BioID-derived proximity interactome for SARS-CoV-2 proteins
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
A BioID-derived proximity interactome for SARS-CoV-2 proteins
Danielle G. May, Laura Martin-Sancho, Valesca Anschau, Sophie Liu, Rachel J. Chrisopulos, Kelsey L. Scott, Charles T. Halfmann, Ramon Díaz Peña, Dexter Pratt, Alexandre R. Campos, Kyle J. Roux
bioRxiv 2021.09.17.460814; doi: https://doi.org/10.1101/2021.09.17.460814
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
A BioID-derived proximity interactome for SARS-CoV-2 proteins
Danielle G. May, Laura Martin-Sancho, Valesca Anschau, Sophie Liu, Rachel J. Chrisopulos, Kelsey L. Scott, Charles T. Halfmann, Ramon Díaz Peña, Dexter Pratt, Alexandre R. Campos, Kyle J. Roux
bioRxiv 2021.09.17.460814; doi: https://doi.org/10.1101/2021.09.17.460814

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Molecular Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4235)
  • Biochemistry (9136)
  • Bioengineering (6784)
  • Bioinformatics (24001)
  • Biophysics (12129)
  • Cancer Biology (9534)
  • Cell Biology (13778)
  • Clinical Trials (138)
  • Developmental Biology (7636)
  • Ecology (11702)
  • Epidemiology (2066)
  • Evolutionary Biology (15513)
  • Genetics (10644)
  • Genomics (14327)
  • Immunology (9483)
  • Microbiology (22841)
  • Molecular Biology (9090)
  • Neuroscience (48995)
  • Paleontology (355)
  • Pathology (1482)
  • Pharmacology and Toxicology (2570)
  • Physiology (3846)
  • Plant Biology (8331)
  • Scientific Communication and Education (1471)
  • Synthetic Biology (2296)
  • Systems Biology (6192)
  • Zoology (1301)