Author

S. W. McCue

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· 3 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

M. J. Simpson· 4 shared C. J. Penington· 2 shared E. T. Shah· 2 shared W. Jin· 2 shared A. Browning· 1 shared G. Gunasingh· 1 shared M. J. Plank· 1 shared N. K. Haass· 1 shared

Activity by Year

2017-2020 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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4 shared papersBiophysics

M. J. Simpson

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Author profile →

4 papers

Recent·Most cited

Examining go-or-grow using fluorescent cell-cycle indicators and cell cycle-inhibiting drugs

S. T. Vittadello, S. W. McCue, G. Gunasingh, N. K. Haass, M. J. Simpson

This study examines the go-or-grow hypothesis in melanoma cells using fluorescent cell-cycle indicators and drugs, finding no support for the hypothesis as motility is independent of cell-cycle phase.

bioRxiv · Jan 1, 2020Biophysics

Inferring parameters for a lattice-free model of cell migration and proliferation using experimental data

A. Browning, S. W. McCue, R. N. Binny, M. J. Plank, E. T. Shah, M. J. Simpson

The paper calibrates a lattice-free individual-based model of cell migration and proliferation using experimental data from prostate cancer cells, showing the importance of individual interactions.

bioRxiv · Oct 30, 2017Cell Biology

A computational modelling framework to quantify the effects of passaging cell lines

W. Jin, C. J. Penington, S. W. McCue, M. J. Simpson

This study uses computational modeling to show that passage number affects cell proliferation rates and scratch assay closure rates, highlighting the need to report passage numbers for reproducibility.

bioRxiv · Jul 9, 2017Biophysics

Logistic proliferation of cells in scratch assays is delayed

W. Jin, E. T. Shah, C. J. Penington, S. W. McCue, P. K. Maini, M. J. Simpson

This study shows that logistic growth models misrepresent cell proliferation in scratch assays due to a disturbance phase, and that distinguishing between phases improves parameter estimates.

Bulletin of Mathematical Biology · Mar 23, 2017Peer-reviewedBiophysics