A Multi-Parametric and High-Throughput Platform for Host-Virus Binding Screens
type: Dataset
distribution: Landing page for the dataset
description: General information This item containst data sets for Schlegel et al, Nano Letters, 2023. DOI: https://doi.org/10.1021/acs.nanolett.2c04884 It contains confocal images, lattice light sheet images, flow cytometry data, compiled data as excle sheet and raw figure files. Abstract Speed is key during infectious disease outbreaks. It is essential, for example, to identify critical host binding factors to 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 multiparametric 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 were validated by blocking SARS-CoV-2 particles with nanobodies and IgGs from human serum samples. Data usage Researchers are welcome to use the data contained in the dataset for any projects. Please cite this item upon use or when published. We encourage reuse using the same CC BY 4.0 License. Data Content Excel files for graphs Microscopy Images Flow cytometry data Software to open files: .csv: Fiji (https://imagej.net/software/fiji/downloads) or Microsoft Excel .xlsx: Microsoft Excel .tif, .lsm: Fiji (https://imagej.net/software/fiji/downloads) .pzfx: GraphPad Prism .svg: Inkscape (https://inkscape.org/) .fcs: FCS Express .pdf: AdobeAcrobat or Mozilla Firefox .ijm: Fiji (https://imagej.net/software/fiji/downloads)
modified: 2023-05-31T00:00:00Z
issued: 2023-04-04T00:00:00Z
publisher: Karolinska Institutet
theme: HEAL
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Erdinc Sezgin
    type: Agent
    account: 0000-0002-4915-388X
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Jan Schlegel
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Bartlomiej Porebski
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Luca Andronico
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Leo Hanke
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Steven Edwards
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Hjalmar Brismar
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Ben Murrell
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Gerald M. McInerney
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Oscar Fernández-Capetillo
    type: Agent
    type: PrivateIndividual(s)
keyword: Receptors and membrane biology

Landing page for the dataset
type: Distribution
title: Landningssida för datasetet @sv
access URL: A Multi-Parametric and High-Throughput Platform for Host-Virus Binding Screens
availability: stable

Karolinska Institutet
type: Agent
type: Academia-ScientificOrganisation
source: https://ror.org/056d84691