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

General information This item containst data sets for Schlegel et al, Nano Letters, 2023.  DOI: https://doi.org/10.1021/acs.nanolett.2c04884Opens in a new tab 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/downloadsOpens in a new tab) or Microsoft Excel  .xlsx: Microsoft Excel  .tif, .lsm: Fiji (https://imagej.net/software/fiji/downloadsOpens in a new tab) .pzfx: GraphPad Prism .svg: Inkscape (https://inkscape.orgOpens in a new tab) .fcs: FCS Express .pdf: AdobeAcrobat or Mozilla Firefox .ijm: Fiji (https://imagej.net/software/fiji/downloadsOpens in a new tab)