Physics of Cell Motility, Sensing, and Mechanics

Publications, Notes, and Errata

This page includes some commentary and PDFs and is updated from time to time, but the most recent list of publications is available via Google scholar.

	Migration and division in cell monolayers on substrates with topological defects K. Kaiyrbekov*, K. Endresen*, K. Sullivan, Y. Chen, Z. Zheng, F. Serra, and B.A. Camley [preprint]
	Physical limits on galvanotaxis I. Nwogbaga*, A Hyun Kim* and B.A. Camley arxiv[preprint]
	Physical limits to membrane curvature sensing by a single protein I. Badvaram, and B.A. Camley arxiv[preprint]
	Cytokinesis machinery promotes cell dissociation from collectively migrating strands in confinement R.A. Law, A. Kiepas, H.E. Desta, E. Perez Ipiņa, M. Parlani, S.J. Lee, C.L. Yankaskas, R. Zhao, P. Mistriotis, N. Wang, Z. Gu, P. Kalab, P. Friedl, B. A. Camley, K. Konstantopoulos Science Advances[link](2023)
	Coupling cell shape and velocity leads to oscillation and circling in keratocyte galvanotaxis I. Nwogbaga and B.A. Camley Biophysical Journal[link](2023)
	Picking winners in cell-cell collisions: wetting, speed, and contact P. Zadeh and B.A. Camley Phys. Rev. E[link]2022
	Collective gradient sensing with limited positional information E. Perez Ipiña and B.A. Camley Phys. Rev. E [link]2022
	Sensing the shape of a cell with reaction-diffusion and energy minimization A.R. Singh, T. Leadbetter and B.A. Camley PNAS (direct submission) [link]2022
	Active gels, heavy tails, and the cytoskeleton D.W. Swartz and B.A. Camley Soft Matter[link][preprint]2021 (cover article)
	Rules of contact inhibition of locomotion for cells on suspended nanofibers J. Singh, A. Pagulayan, B.A. Camley*, and A.S. Nain* PNAS (direct submission) [link]2021
	Cellular memory in eukaryotic chemotaxis depends on the background chemoattractant concentration R. Karmakar, M.-H. Tang, H. Yue, D. Lombardo, A. Karanam, B.A. Camley, A. Groisman, and W-J Rappel Phys. Rev. E [journal link]2021
	Chemotaxis in uncertain environments: Hedging bets with multiple receptor types A. Hopkins, B.A. Camley Phys. Rev. Research [open access paper]2020
	Hydrodynamic effects on the motility of crawling eukaryotic cells M.H. Mai, B.A. Camley Soft Matter 2020 [link][preprint]
	Leader cells in collective chemotaxis: optimality and trade-offs A. Hopkins, B.A. Camley Phys. Rev. E. 2019, [link][preprint]
	Cell motility dependence on adhesive wetting Y. Cao, R. Karmakar, E. Ghabache, E. Gutierrez, Y. Zhao, A. Groisman, H. Levine, B.A. Camley and W.-J. Rappel Soft Matter 2019, [link] [preprint]
	Motion of objects embedded in lipid bilayer membranes: Advection and effective viscosity B.A. Camley and F.L.H. Brown J. Chem. Phys 2019, [link] [preprint]
	Collective gradient sensing and chemotaxis: modeling and recent developments B.A. Camley J. Phys. Cond. Mat. 2018 [invited review] [link] This review is probably the first thing I would recommend someone read to get a sense of the group's current interests. Erratum: Figure 3B, cells shown are MCF10A instead of MDCK -- thanks to Raimon Sunyer!
	Minimal network topologies for signal processing during collective cell chemotaxis H. Yue, B.A. Camley and W.-J. Rappel Biophys. J. 2018, [link]
	Physical models of collective cell motility: from cell to tissue B.A. Camley and W.-J. Rappel J. Phys. D 2017, [link][pdf]
	Cell-to-cell variation sets a tissue-rheology-dependent bound on collective gradient sensing B.A. Camley and W.-J. Rappel, PNAS (Direct submission) [link][preprint]
	Crawling and turning in a minimal reaction-diffusion cell motility model: coupling cell shape and biochemistry B.A. Camley*, Yanxiang Zhao*, Bo Li, Herbert Levine, and W.-J. Rappel [Editor's Suggestion] Phys. Rev. E 2017, [link][preprint]
	Lipid and peptide diffusion in bilayers: the Saffman-Delbruck model and periodic boundary conditions R.M. Venable, H.I. Ingolfsson, M.G. Lerner, B.S. Perrin, Jr.,B.A. Camley, S.J. Marrink, F.L.H. Brown, and R.W. Pastor J. Phys. Chem. B 2016, [link] To go with this paper, we built a web interface for estimating PBC corrections and membrane viscosities at diffusion.lobos.nih.gov (Work by me, Scott Perrin)
	Modeling contact inhibition of locomotion of colliding cells migrating on micropatterned substrates D.A. Kulawiak,B.A. Camley, and W.-J. Rappel PLOS Computational Biology 2016, [link][pdf]
	Contact inhibition of locomotion determines cell-cell and cell-substrate forces in tissues J. Zimmermann, B.A. Camley, W.-J. Rappel and H. Levine PNAS (contributed by H. Levine) 2016, [link]
	Collective signal processing in cluster chemotaxis: roles of adaptation, amplification, and co-attraction in collective guidance B.A. Camley, J. Zimmermann, H. Levine, and W.-J. Rappel PLOS Computational Biology [link][preprint]
	Emergent collective chemotaxis without single-cell gradient sensing [Editor's Suggestion, Featured in Physics] B.A. Camley, J. Zimmermann, H. Levine, and W.-J. Rappel Phys. Rev. Lett. 2016, [link] [preprint]
	Strong influence of periodic boundary conditions on lateral diffusion in lipid bilayer membranes B.A. Camley, M.G. Lerner, R.W. Pastor, and F.L.H. Brown, J. Chem. Phys. 2015, [link] Erratum: the MARTINI values in Table I were generated with L = 25 nm and H = 5 nm, not L = 15 nm and H = 2 nm. A web interface to compute the periodic diffusion coefficient from this paper and estimate membrane viscosities is available at diffusion.lobos.nih.gov (Work by me, Scott Perrin)
	Calculating hydrodynamic interactions for membrane-embedded objects E. Noruzifar, B.A. Camley and F.L.H. Brown, J. Chem. Phys. 2014, [link]
	Polarity mechanisms such as contact inhibition of locomotion regulate persistent rotational motion of mammalian cells on micropatterns B.A. Camley, Y. Zhang, Y. Zhao, B. Li, E. Ben-Jacob, H. Levine, and W.-J. Rappel, PNAS (contributed by H. Levine) 2014, [link]
	Fluctuating hydrodynamics of multicomponent membranes with embedded proteins B.A. Camley and F.L.H. Brown, J. Chem. Phys. 2014, [link]
	Velocity alignment leads to high persistence in confined cells B.A. Camley and W.-J. Rappel, Phys. Rev. E 2014, [link] [pdf]
	Periodic migration in a physical model of cells on micropatterns B.A. Camley, Y. Zhao, B. Li, H. Levine, and W.-J. Rappel, Phys. Rev. Lett. 2013, [link] [pdf]
	Simulation of Edge Facilitated Adsorption and Critical Concentration Induced Rupture of Vesicles at a Surface P. Plunkett, B.A. Camley, K. Weirich, J. Israelachvili and P. Atzberger, Soft Matter 2013 (cover article), [link] [pdf]
	Diffusion of complex objects embedded in free and supported lipid bilayer membranes: role of shape anisotropy and leaflet structure B.A. Camley and F.L.H. Brown, Soft Matter 2013 (cover article), [link] [pdf] There is a typo on p.4773 - the experimental range of b is roughly 107 poise/cm, not 10-7.
	Contributions to membrane-embedded-protein diffusion beyond hydrodynamic theories B.A. Camley and F.L.H. Brown, Phys. Rev. E. 2012, [link] [pdf]
	Dynamic scaling in phase separation kinetics for quasi-two-dimensional membranes B.A. Camley and F.L.H. Brown, J. Chem. Phys. 2011 [link] [pdf] See also: Camley and Brown J. Chem. Phys. 2014 for more details and extensions to the method. Stanich et al. looked at scaling laws experimentally after we published. One point I think we didn't make strongly enough in this paper is that there could be other regimes that we didn't find - this is a very complicated problem, and we have not explored the boundary between regimes carefully!
	Beyond the creeping viscous flow limit for lipid bilayer membranes: Theory of single-particle microrheology, domain flicker spectroscopy, and long-time tails B.A. Camley and F.L.H. Brown, Phys. Rev. E. 2011, [link] [pdf]
	Dynamic simulations of multicomponent lipid membranes over long length and time scales B.A. Camley and F.L.H. Brown, Phys. Rev. Lett. 2010, [link] [pdf] This is a relatively short paper, and we have extended it: definitely see Camley and Brown J. Chem. Phys. 2011 and Camley and Brown J. Chem. Phys. 2014 for important details about the simulation algorithm and its application. The 2011 paper contains more details about the scaling laws and a proof that Stratonovich is the correct interpretation; the 2014 paper discusses more about the details of parameter matching (e.g. bare vs renormalized parameters) and numerical implementation. In particular, this paper shows simulations where the effective parameters match the input ones (domain at 0.8 pN bare line tension), and ones where they become renormalized (0.1 pN, where the domain shrinks). The 2014 paper explains more about when you would expect these renormalizations. Also note that statistical errors are pretty big in Fig. 1: refining this might require system size corrections (Camley et al. J. Chem. Phys. 2015) and comparison to the fluid domain diffusion coefficient.
	Lipid bilayer domain fluctuations as a probe of membrane viscosity B.A. Camley, C. Esposito, T. Baumgart, and F.L.H. Brown, Biophys. J. 2010, [link] [pdf] [preprint pdf with better figures]
	Forster transfer outside the weak-excitation limit B.A. Camley, F.L.H. Brown, and E. Lipman, J. Chem. Phys. 2009, [link] [pdf] An interesting experimental paper on power-dependence that may be related is Nettels et al. 2015.