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

A Multiparametric and High-Throughput Platform for Host-Virus Binding Screens

Jan Schlegel, Bartlomiej Porebski, Luca Andronico, Leo Hanke, Steven Edwards, Hjalmar Brismar, Benjamin Murrell, Gerald McInerney, Oscar Fernandez-Capetillo, View ORCID ProfileErdinc Sezgin
doi: https://doi.org/10.1101/2022.10.10.511545
Jan Schlegel
1Science for Life Laboratory, Department of Women’s and Children’s Health, Karolinska Institutet, 17165, Solna, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Bartlomiej Porebski
2Science for Life Laboratory, Division of Genome Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Luca Andronico
1Science for Life Laboratory, Department of Women’s and Children’s Health, Karolinska Institutet, 17165, Solna, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Leo Hanke
3Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Steven Edwards
4Science for Life Laboratory, Department of Applied Physics, Royal Institute of Technology, Solna, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hjalmar Brismar
1Science for Life Laboratory, Department of Women’s and Children’s Health, Karolinska Institutet, 17165, Solna, Sweden
4Science for Life Laboratory, Department of Applied Physics, Royal Institute of Technology, Solna, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Benjamin Murrell
3Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Gerald McInerney
3Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Oscar Fernandez-Capetillo
2Science for Life Laboratory, Division of Genome Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
5Genomic Instability Group, Spanish National Cancer Research Centre (CNIO), Madrid, 28029, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Erdinc Sezgin
1Science for Life Laboratory, Department of Women’s and Children’s Health, Karolinska Institutet, 17165, Solna, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Erdinc Sezgin
  • For correspondence: erdinc.sezgin@ki.se
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Speed is key during infectious disease outbreaks. It is essential, for example, to identify critical host binding factors to the pathogens as fast as possible. The complexity of host plasma membrane is often a limiting factor hindering fast and accurate determination of host binding factors as well as high-throughput screening for neutralizing antimicrobial drug targets. Here we describe a multi-parametric and high-throughput platform tackling this bottleneck and enabling fast screens for host binding factors as well as new antiviral drug targets. The sensitivity and robustness of our platform was validated by blocking SARS-CoV-2 spike particles with nanobodies and IgGs from human serum samples.

Teaser A fast screening platform tackling host-pathogen interactions.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • The manuscript has been re-structured. Instead of 2 figures, we have now 4 figures.

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 4.0 International license.
Back to top
PreviousNext
Posted November 27, 2022.
Download PDF

Supplementary Material

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 Multiparametric and High-Throughput Platform for Host-Virus Binding Screens
(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 Multiparametric and High-Throughput Platform for Host-Virus Binding Screens
Jan Schlegel, Bartlomiej Porebski, Luca Andronico, Leo Hanke, Steven Edwards, Hjalmar Brismar, Benjamin Murrell, Gerald McInerney, Oscar Fernandez-Capetillo, Erdinc Sezgin
bioRxiv 2022.10.10.511545; doi: https://doi.org/10.1101/2022.10.10.511545
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
A Multiparametric and High-Throughput Platform for Host-Virus Binding Screens
Jan Schlegel, Bartlomiej Porebski, Luca Andronico, Leo Hanke, Steven Edwards, Hjalmar Brismar, Benjamin Murrell, Gerald McInerney, Oscar Fernandez-Capetillo, Erdinc Sezgin
bioRxiv 2022.10.10.511545; doi: https://doi.org/10.1101/2022.10.10.511545

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

  • Synthetic Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4094)
  • Biochemistry (8784)
  • Bioengineering (6490)
  • Bioinformatics (23377)
  • Biophysics (11762)
  • Cancer Biology (9164)
  • Cell Biology (13268)
  • Clinical Trials (138)
  • Developmental Biology (7420)
  • Ecology (11380)
  • Epidemiology (2066)
  • Evolutionary Biology (15110)
  • Genetics (10408)
  • Genomics (14017)
  • Immunology (9133)
  • Microbiology (22087)
  • Molecular Biology (8792)
  • Neuroscience (47418)
  • Paleontology (350)
  • Pathology (1421)
  • Pharmacology and Toxicology (2483)
  • Physiology (3710)
  • Plant Biology (8060)
  • Scientific Communication and Education (1433)
  • Synthetic Biology (2213)
  • Systems Biology (6019)
  • Zoology (1251)