Author

P. R. Buenzli

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 7 Bioengineering· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 7 Research Focus:cell signaling & trafficking· 4 Research Focus:cell type annotation· 2 Research Focus:development & morphogenesis· 2 Organism:human· 2 Research Focus:benchmarking· 1 Approach:biophysical modeling· 1 Research Focus:clustering· 1

Frequent Co-Authors

M. J. Simpson· 8 shared R. E. Baker· 3 shared R. J. Murphy· 3 shared M. A. Woodruff· 2 shared M. C. Allenby· 2 shared M. Lanaro· 2 shared O. J. Maclaren· 2 shared T. A. Tambyah· 2 shared

Activity by Year

2020-2023 · peak 5/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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8 shared papersBiophysics

M. J. Simpson

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Author profile →

9 papers

Recent·Most cited

How osteons form: A quantitative hypothesis-testing analysis of cortical pore filling and wall asymmetry

S. G. Hegarty-Cremer, X. G. Borggaard, C. M. Andreasen, B. C. van der Eerden, M. J. Simpson, T. L. Andersen, P. R. Buenzli

The paper quantitatively analyzes osteon morphology to test hypotheses about cortical bone remodeling mechanisms, finding age-related asymmetry and identifying key factors influencing wall thickness.

bioRxiv · Oct 26, 2023Biophysics

Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic models

M. J. Simpson, R. E. Baker, P. R. Buenzli, R. Nicholson, O. J. Maclaren

This paper develops a method to improve parameter estimation in stochastic models by combining continuum approximations with statistical discrepancy correction, showing better accuracy with minimal computational cost.

bioRxiv · Feb 2, 2022Biophysics

Modelling cell guidance and curvature control in evolving biological tissues

S. G. D. Hegarty-Cremer, M. J. Simpson, T. L. Andersen, P. R. Buenzli

The paper develops a mathematical model to study how cell guidance and curvature control interact in evolving biological tissues, applying it to simulate bone remodelling and root hair growth.

Journal of Theoretical Biology · Jul 1, 2021Peer-reviewedBiophysics

Model-based data analysis of tissue growth in thin 3D printed scaffolds

A. P. Browning, O. J. Maclaren, P. R. Buenzli, M. Lanaro, M. C. Allenby, M. A. Woodruff, M. J. Simpson

The paper analyzes tissue growth in 3D printed scaffolds using a mathematical model to quantify cell proliferation and migration, identifying two growth stages and model limitations.

bioRxiv · Mar 25, 2021Cell Biology

The role of mechanical interactions in EMT

R. J. Murphy, P. R. Buenzli, T. A. Tambyah, E. W. Thompson, H. J. Hugo, R. E. Baker, M. J. Simpson

This study presents a mathematical model of mechanical cellular processes driven by EMT and explores their influence on cell behavior.

bioRxiv · Dec 9, 2020Biophysics

A free boundary mechanobiological model of epithelial tissues

T. A. Tambyah, R. J. Murphy, P. R. Buenzli, M. J. Simpson

This study develops a free boundary mechanobiological model coupling intracellular signaling and mechanical properties to simulate epithelial tissue dynamics, validated against discrete models for two signaling pathways.

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences · Nov 18, 2020Peer-reviewedBiophysics

Mineral density differences between femoral cortical bone and trabecular bone are not explained by turnover rate alone

C. Lerebours, R. Weinkamer, A. Roschger, P. R. Buenzli

The paper tests whether differences in bone mineral density between cortical and trabecular bone can be explained by turnover rate, resorption behavior, or mineralization kinetics, finding that only mineralization kinetics differ.

bioRxiv · Jun 8, 2020Biophysics

Mechanical cell competition in heterogeneous epithelial tissues

R. J. Murphy, P. R. Buenzli, R. E. Baker, M. J. Simpson

The paper develops a mechanical model to study how cancer cells outcompete normal cells in epithelial tissues through mechanical differences rather than proliferation rates.

bioRxiv · May 24, 2020Biophysics

Cell proliferation and migration explain pore bridging dynamics in 3D printed scaffolds of different pore size

P. R. Buenzli, M. Lanaro, C. S. Wong, M. P. McLaughlin, M. C. Allenby, M. A. Woodruff, M. J. Simpson

The paper investigates how pore size affects tissue bridging in 3D-printed scaffolds and finds that bridging time increases linearly with pore size due to geometric factors, not cell behavior differences.

bioRxiv · Mar 12, 2020Bioengineering