Nanobody-mediated neutralization of candidalysin prevents epithelial damage and inflammatory responses that drive vulvovaginal candidiasis pathogenesis

Marisa Valentine*, Paul Rudolph*, Axel Dietschmann, Antzela Tsavoud, Selene Mogavero, Sejeong Leed, Emily L. Priestd, Gaukhar Zhurgenbayeva,Nadja Jablonowskia, Sandra Timme, Christian Eggeling,Stefanie Allert, Edward Dolk, Julian R. Naglik, Marc T. Figge,Mark S. Gresnigt*#, Bernhard Hube*#

Department of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute, Jena, Germany, Applied Systems Biology Group, Leibniz-HKI, Jena, Germany, Junior Research Group Adaptive Pathogenicity Strategies, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute, Jena, Germany, Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London SE1 1UL, UK, Institute of Applied Optics and Biophysics, Friedrich Schiller University Jena, Germany, Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany,Leibniz Institute of Photonic Technology e.V. Jena, Germany, Member of the Leibniz Center for Photonics in Infection Research (LPI), Jena, Germany, Jena Center for Soft Matter (JCSM), Jena, Germany, QVQ B.V., Utrecht, The Netherlands, Institute of Microbiology, Friedrich-Schiller-University, Jena, Germany

mBio

Experimental and simulated data for reproducing modelling results

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  1. ValentineEtAl2024_mBio
CODE DATA PUBLICATION

Abstract: This data publication supports the main research findings in our study on Nanobody-mediated neutralization of candidalysin and its role in preventing epithelial damage and inflammatory responses, contributing to the pathogenesis of vulvovaginal candidiasis. The dataset comprises both experimental data and simulated results, essential for replicating and understanding the model's predictions and conclusions.


1. Experimental Data Description

  • Location: 'DATA' Folder
  • Data Format: Excel

2. Simulated Results Description

  • Location: 'PUBLICATION' Folder
  • Contents: For each aggregate size and model there exists a compressed feather file with the results of the parameter screening

3. Code for the modelling for reproducing model results

  • Location: 'CODE' Folder
  • GitHub: https://github.com/applied-systems-biology/CandidalysinModel