Energetic costs regulated by cell mechanics and confinement are predictive of migration path during decision-making

dc.contributor.authorZanotelli, Matthew R.
dc.contributor.authorRahman-Zaman, Aniqua
dc.contributor.authorVanderBurgh, Jacob A.
dc.contributor.authorTaufalele, Paul V.
dc.contributor.authorJain, Aadhar
dc.contributor.authorErickson, David
dc.contributor.authorBordeleau, Francois
dc.contributor.authorReinhart-King, Cynthia A.
dc.date.accessioned2020-08-19T23:27:00Z
dc.date.available2020-08-19T23:27:00Z
dc.date.issued2019-09-13
dc.description.abstractCell migration during the invasion-metastasis cascade requires cancer cells to navigate a spatially complex microenvironment that presents directional choices to migrating cells. Here, we investigate cellular energetics during migration decision-making in confined spaces. Theoretical and experimental data show that energetic costs for migration through confined spaces are mediated by a balance between cell and matrix compliance as well as the degree of spatial confinement to direct decision-making. Energetic costs, driven by the cellular work needed to generate force for matrix displacement, increase with increasing cell stiffness, matrix stiffness, and degree of spatial confinement, limiting migration. By assessing energetic costs between possible migration paths, we can predict the probability of migration choice. Our findings indicate that motility in confined spaces imposes high energetic demands on migrating cells, and cells migrate in the direction of least confinement to minimize energetic costs. Therefore, therapeutically targeting metabolism may limit cancer cell migration and metastasis.en_US
dc.description.sponsorshipThis work was supported by funding from the NIH (GM131178) and an NSF-NIH PESO Award (1740900) to C.A.R.-K.; NSF Graduate Research Fellowships under Grant No. DGE-1650441 to M.R.Z., A.R.-Z., and J.A.V.; and a NSERC Discovery grant (RGPIN-2018-06214) and Scholarship for the Next Generation of Scientists from the Cancer Research Society to F.B. This work was performed in part at the Cornell NanoScale Facility, a member of the National Nanotechnology Coordinated Infrastructure (NNCI), which is supported by the NSF (Grant ECCS-1542081).en_US
dc.identifier.citationZanotelli, M. R., Rahman-Zaman, A., VanderBurgh, J. A., Taufalele, P. V., Jain, A., Erickson, D., Bordeleau, F., & Reinhart-King, C. A. (2019). Energetic costs regulated by cell mechanics and confinement are predictive of migration path during decision-making. Nature communications, 10(1), 4185. https://doi.org/10.1038/s41467-019-12155-zen_US
dc.identifier.doi10.1038/s41467-019-12155-z
dc.identifier.issn2041-1723
dc.identifier.urihttp://hdl.handle.net/1803/10383
dc.language.isoen_USen_US
dc.publisherNature Communicationsen_US
dc.rightsCopyright © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
dc.source.urihttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6744572/
dc.titleEnergetic costs regulated by cell mechanics and confinement are predictive of migration path during decision-makingen_US
dc.typeArticleen_US

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