Author

Steffen Werner

Wageningen University & ResearchORCID 0000-0002-8764-1366Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Developmental Biology· 1 Molecular Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Organism:C. elegans· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:plant (other)· 1

Frequent Co-Authors

Greg J. StephensiD· 2 shared Alexander van OudenaardeniD· 1 shared Andrea Schuhmann· 1 shared Andrei RozanskiiD· 1 shared Andrew J. M. SwaffordiD· 1 shared Anna AlemanyiD· 1 shared Anna ShevchenkoiD· 1 shared Annabel Ebbing· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersMolecular Biology

Greg J. StephensORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

The First of Us: Ophiocordyceps use a novel scramblase-binding peptide to manipulate zombie ants

William C. Beckerson, Steffen Werner, Maite Goebbels, João Jacob Ramalho, Andrew J. M. Swafford, Ilia Soroka, Sinah T Wingert, Mike Boxem, Suzan Ruijtenberg, Greg J. Stephens, Sander van den Heuvel, Charissa de Bekker

The paper identifies a novel fungal peptide from Ophiocordyceps that binds to scramblase channels in ants, disrupting motor coordination and olfactory systems.

bioRxiv · Sep 9, 2025 · PreprintMolecular Biology

A comparative analysis of planarian regeneration specificity reveals tissue polarity contributions of the axial cWnt signalling gradient.

James Cleland, Hanh Thi-Kim Vu, Johanna E. M. Dickmann, Andrei Rozanski, Steffen Werner, Andrea Schuhmann, Anna Shevchenko, Jochen Christian Rink

This study investigates planarian regeneration specificity by examining the role of the cWnt signalling gradient in head and tail formation across two species.

bioRxiv · Dec 1, 2024 · PreprintDevelopmental Biology

Functional modules from variable genes: Leveraging percolation to analyze noisy, high-dimensional data

Steffen Werner, W. Mathijs Rozemuller, Annabel Ebbing, Anna Alemany, Joleen J.H. Traets, Jeroen Sebastiaan van Zon, Alexander van Oudenaarden, Hendrik C. Korswagen, Greg J. Stephens, Thomas Simon Shimizu

The paper introduces a density-based clustering method using percolation theory to identify functionally related gene modules from noisy, high-dimensional RNA sequencing data across different organisms.

bioRxiv · Jun 10, 2020 · PreprintSystems Biology