Author

C. Penington

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· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell-cell communication· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

M. J. Simpson· 2 shared R. E. Baker· 2 shared J. McGovern· 1 shared M. Simpson· 1 shared O. M. Matsiaka· 1 shared O. Matsiaka· 1 shared P. Haridas· 1 shared S. McElwain· 1 shared

Activity by Year

2017-2017 · peak 3/yr

Co-Author Collaboration Network

8 top collaborators · 12 mutual co-author links

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2 shared papersCancer Biology

M. J. Simpson

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3 papers

Recent·Most cited

Discrete and continuum approximations for collective cell migration in a scratch assay with cell size dynamics

O. M. Matsiaka, C. Penington, R. E. Baker, M. Simpson

This paper develops a stochastic model and continuum approximations to study collective cell migration in scratch assays with cell size dynamics, showing improved accuracy with moment dynamics over mean-field approximations.

bioRxiv · Nov 14, 2017Biophysics

Quantifying Rates Of Cell Migration And Cell Proliferation In Co-Culture Barrier Assays Reveals How Skin And Melanoma Cells Interact During Melanoma Spreading And Invasion

P. Haridas, C. Penington, J. McGovern, S. McElwain, M. J. Simpson

The paper quantifies cell migration and proliferation rates in co-culture assays to study melanoma-skin cell interactions, finding no evidence of interactions beyond cell-to-cell contact and crowding.

bioRxiv · Apr 19, 2017Cancer Biology

Continuum approximations for lattice-free multi-species models of collective cell migration

O. Matsiaka, C. Penington, R. E. Baker, M. J. Simpson

The paper develops a discrete model of multi-species cell migration and compares two continuum approximations for their accuracy under different adhesive force conditions.

bioRxiv · Mar 22, 2017Biophysics