Author

Lina Verbakel

University of FribourgORCID 0000-0003-0490-8406Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Evolutionary Biology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:Drosophila· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Organism:C. elegans· 1 Research Focus:cell-cell communication· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Anne C. von PhilipsborniD· 2 shared Alexandre Pierre VaudanoiD· 1 shared Andrew G. ClarkiD· 1 shared Benjamin K. McCormickiD· 1 shared Christopher Neal· 1 shared Florence SolariiD· 1 shared Jan J. EnghildiD· 1 shared Jolie A. CarlisleiD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersPhysiology

Anne C. von PhilipsbornORCID

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3 papers

Recent·Most cited

PhysiologyPLoS GeneticsPeer-reviewedSep 1, 2026

Abdominal-B regulates the male seminal fluid transferome and new female fecundity factors required for sperm sex peptide binding

Kathrin Steck, Lina Verbakel, Peter Kerwin…·Anne C. von Philipsborn

The paper identifies new female fecundity factors required for sperm sex peptide binding by analyzing the impact of Abdominal-B loss in Drosophila secondary cells on seminal fluid composition and female response.

DOI 10.1371/journal.pgen.1012298

Drosophilaproteomics

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Evolutionary BiologyProceedings of the National Academy of SciencesPeer-reviewedJun 16, 2026

Correlated Gene Copy Number Changes in a Seminal Fluid Protein Network in Drosophila

Jolie A. Carlisle, Benjamin K. McCormick, Lina Verbakel…·Andrew G. Clark

The paper examines gene copy number variation in the Drosophila Sex Peptide seminal fluid protein network, finding correlated duplication and loss events among network members.

2 citationstop 3%

Drosophilastatistical model

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BioinformaticsbioRxivPreprintApr 27, 2026

MOSAIC: a longitudinal phenotypic clock to dissect organismal aging trajectories in C. elegans

Alexandre Pierre Vaudano, Marie Pierron, L. Stojkovic…·Laurent Mouchiroud

The paper develops MOSAIC, a non-invasive phenotypic clock for C. elegans that estimates biological age longitudinally and reveals distinct aging trajectories from lifespan interventions.

DOI 10.64898/2026.04.23.720365

C. elegansimaging

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