Author

Bart Meuris

KU LeuvenORCID 0000-0001-9176-293XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Organism:human· 1 Organism:mouse· 1 Assay:proteomics· 1

Frequent Co-Authors

Amber HendrickxiD· 2 shared Cassandra L. CliftiD· 1 shared Deniz Ozturk· 1 shared Elena Rabkin AikawaiD· 1 shared Felipe Sempértegui· 1 shared Filip RegaiD· 1 shared Gerhard A. HolzapfeliD· 1 shared Hadi Asgharzadeh ShiraziiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioengineering

Amber HendrickxORCID

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Author profile →

2 papers

Recent·Most cited

Feasibility study of fluid-structure-growth modelling in the context of endogenous tissue restoration

Lauranne Maes, Amber Hendrickx, Hadi Asgharzadeh Shirazi, Deniz Ozturk, Maria Bastron, Tahir Turgut, Vincent Bouwman, Nils Götzen, Thibault Vervenne, Malte Rolf‐Pissarczyk, Felipe Sempértegui, Martijn A. J. Cox, Stéphane Avril, Gerhard A. Holzapfel, Bart Meuris, Nele Famaey

This study develops and validates two fluid-structure-growth models to predict long-term outcomes of vascular grafts in endogenous tissue restoration.

bioRxiv · Oct 20, 2026 · PreprintBioengineering

Cross-species proteomics quantification pipeline distinguishes donor versus host extracellular matrix in explanted biomaterials

Rachel M. E. Cahalane, Bart Meuris, Joan T. Matamalas, Mark C. Blaser, Marie Billaud, Taku Kasai, Amber Hendrickx, Ludger J.E. Goeminne, Jochen Daniel Muehlschlegel, Filip Rega, Masanori Aikawa, Laoise M. McNamara, Sasha A. Singh, Cassandra L. Clift, Elena Rabkin Aikawa

The paper develops a cross-species proteomics pipeline to distinguish donor and host ECM proteins in explanted biomaterials, showing that single-species analysis leads to inaccurate quantification.

bioRxiv · Jun 24, 2025 · PreprintBioengineering