Author

R. J. Murphy

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· 6 Cancer Biology· 2 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 7 Research Focus:cell signaling & trafficking· 3 Research Focus:cancer & tumor microenvironment· 2 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:imaging· 2 Approach:biophysical modeling· 1

Frequent Co-Authors

M. J. Simpson· 9 shared G. Gunasingh· 5 shared N. K. Haass· 5 shared A. P. Browning· 3 shared P. R. Buenzli· 3 shared R. E. Baker· 2 shared T. A. Tambyah· 2 shared B. Lawson· 1 shared

Activity by Year

2020-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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9 shared papersBiophysics

M. J. Simpson

Mutual co-authors in cluster

Author profile →

9 papers

Recent·Most cited

Formation and growth of co-culture tumour spheroids: new compartment-based mathematical models and experiments

R. J. Murphy, G. Gunasingh, N. K. Haass, M. J. Simpson

This paper develops new compartment-based mathematical models and analyzes experimental data to better understand co-culture tumour spheroid formation and growth.

bioRxiv · Dec 21, 2022Biophysics

Profile likelihood-based parameter and predictive interval analysis guides model choice for ecological population dynamics

M. J. Simpson, S. A. Walker, E. N. Studerus, R. J. Murphy, S. McCue, O. Maclaren

The paper compares two ecological models for coral reef regrowth using profile likelihood and prediction intervals to guide model selection.

bioRxiv · Sep 5, 2022Ecology

Growth and adaptation mechanisms of tumour spheroids with time-dependent oxygen availability

R. J. Murphy, G. Gunasingh, N. K. Haass, M. J. Simpson

This study investigates how time-dependent oxygen availability affects tumour spheroid growth and identifies new adaptation mechanisms.

bioRxiv · Apr 24, 2022Cancer Biology

A stochastic mathematical model of 4D tumour spheroids with real-time fluorescent cell cycle labelling

J. J. Klowss, A. P. Browning, R. J. Murphy, E. J. Carr, M. J. Plank, G. Gunasingh, N. K. Haass, M. J. Simpson

This paper develops a stochastic individual-based model of 4D tumour spheroids and validates it against experimental data from human melanoma cell line experiments.

bioRxiv · Nov 28, 2021Biophysics

Designing and interpreting 4D tumour spheroid experiments

R. J. Murphy, A. P. Browning, G. Gunasingh, N. K. Haass, M. J. Simpson

This study evaluates 4D tumour spheroid experiments by comparing designs and identifying reliable insights using mathematical modeling and statistical analysis.

bioRxiv · Aug 18, 2021Biophysics

Quantitative analysis of tumour spheroid structure

A. P. Browning, J. A. Sharp, R. J. Murphy, G. Gunasingh, B. Lawson, K. Burrage, N. K. Haass, M. J. Simpson

This study quantifies tumour spheroid structure, showing that limiting structure is independent of initial seeding density and spheroid size.

bioRxiv · Aug 5, 2021Cancer 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

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