SciLifeLab
Browse

A Multi-Parametric and High-Throughput Platform for Host-Virus Binding Screens

dataset
posted on 2023-04-04, 11:00 authored by Erdinc SezginErdinc Sezgin, Jan SchlegelJan Schlegel, Bartlomiej Porebski, Luca Andronico, Leo Hanke, Steven EdwardsSteven Edwards, Hjalmar BrismarHjalmar Brismar, Ben Murrell, Gerald M. McInerney, Oscar Fernández-Capetillo
<p><strong>General information</strong></p> <p><br></p> <p>This item containst data sets for Schlegel et al, Nano Letters, 2023. </p> <p>DOI: https://doi.org/10.1021/acs.nanolett.2c04884</p> <p><br></p> <p>It contains confocal images, lattice light sheet images, flow cytometry data, compiled data as excle sheet and raw figure files. </p> <p><br></p> <p><strong>Abstract</strong></p> <p>Speed is key during infectious disease outbreaks. It</p> <p>is essential, for example, to identify critical host binding factors to</p> <p>pathogens as fast as possible. The complexity of host plasma</p> <p>membrane is often a limiting factor hindering fast and accurate</p> <p>determination of host binding factors as well as high-throughput</p> <p>screening for neutralizing antimicrobial drug targets. Here, we</p> <p>describe a multiparametric and high-throughput platform tackling</p> <p>this bottleneck and enabling fast screens for host binding factors as</p> <p>well as new antiviral drug targets. The sensitivity and robustness of</p> <p>our platform were validated by blocking SARS-CoV-2 particles</p> <p>with nanobodies and IgGs from human serum samples.</p> <p><br></p> <p><strong>Data usage</strong></p> <p>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.</p> <p> </p> <p><strong>Data Content</strong></p> <p>Excel files for graphs</p> <p>Microscopy Images</p> <p>Flow cytometry data </p> <p><br></p> <p><strong>Software to open files:</strong></p> <p>.csv: Fiji (https://imagej.net/software/fiji/downloads) or Microsoft Excel </p> <p>.xlsx: Microsoft Excel </p> <p>.tif, .lsm: Fiji (https://imagej.net/software/fiji/downloads)</p> <p>.pzfx: GraphPad Prism</p> <p>.svg: Inkscape (https://inkscape.org/)</p> <p>.fcs: FCS Express</p> <p>.pdf: AdobeAcrobat or Mozilla Firefox</p> <p>.ijm: Fiji (https://imagej.net/software/fiji/downloads)</p>

Funding

SciLifeLab

Karolinska Institutet

Knut and Alice Wallenberg foundation

Swedish Research Council

Human Frontier Science Program HFSP

Federal Department of Economic Affairs Education and Research

Find out more...

Marie Skłodowska-Curie fellowship

History

Publisher

Karolinska Institutet

Contact email

erdinc.sezgin@ki.se

Usage metrics

    Erdinc Sezgin research group

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC