Author

Zizhuang Fang

Wageningen University & ResearchORCID 0000-0002-7430-3034Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cell Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:metabolomics· 1 Assay:organoid / primary culture· 1 Approach:statistical model· 1

Frequent Co-Authors

Adam J. BindasiD· 2 shared Aline Marie FernandesiD· 2 shared Jerry Mark WellsiD· 2 shared Celia R. BerkersiD· 1 shared David Giron-VillalobosiD· 1 shared Jeroen W. A. JanseniD· 1 shared Jolanda K. BronsiD· 1 shared Jos BoekhorstiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersCell Biology

Adam J. BindasORCID

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2 papers

Recent·Most cited

Cell BiologybioRxivPreprintAug 31, 2026

Development of iPSC-derived urothelial organoids towards investigating the effect of hormones on host-defense to urinary tract infections

Adam J. Bindas, Zizhuang Fang, Jos Boekhorst…·Jerry Mark Wells

This study develops an iPSC-derived urothelial organoid model to investigate how hormones affect host defense against urinary tract infections.

DOI 10.64898/2026.08.29.747866

humanorganoid / primary culture

MicrobiologybioRxivPreprintAug 30, 2026

Metabolite co-variation networks reveal keystone functions and an emergent pathogen state in the human urobiome.

Larissa Della Vedova, Adam J. Bindas, Mariana Teixeira Dias…·Justin J. J. van der Hooft

This paper uses metabolomics co-variation networks to analyze urobiome-pathogen interactions, identifying keystone species and emergent pathogen states in a synthetic urobiome model.

DOI 10.64898/2026.08.29.748013

humanmetabolomics