|
|
|
|
LEADER |
02753 am a22004093u 4500 |
001 |
124485 |
042 |
|
|
|a dc
|
100 |
1 |
0 |
|a Escribano, Jorge
|e author
|
100 |
1 |
0 |
|a Massachusetts Institute of Technology. Department of Biological Engineering
|e contributor
|
100 |
1 |
0 |
|a Massachusetts Institute of Technology. Department of Mechanical Engineering
|e contributor
|
700 |
1 |
0 |
|a Chen, Michelle B.
|e author
|
700 |
1 |
0 |
|a Moeendarbary, Emad
|e author
|
700 |
1 |
0 |
|a Kamm, Roger D.
|e author
|
700 |
1 |
0 |
|a Spill, Fabian
|e author
|
245 |
0 |
0 |
|a Balance of mechanical forces drives endothelial gap formation and may facilitate cancer and immune-cell extravasation
|
260 |
|
|
|b Public Library of Science (PLoS),
|c 2020-04-02T18:50:21Z.
|
856 |
|
|
|z Get fulltext
|u https://hdl.handle.net/1721.1/124485
|
520 |
|
|
|a The formation of gaps in the endothelium is a crucial process underlying both cancer and immune cell extravasation, contributing to the functioning of the immune system during infection, the unfavorable development of chronic inflammation and tumor metastasis. Here, we present a stochastic-mechanical multiscale model of an endothelial cell monolayer and show that the dynamic nature of the endothelium leads to spontaneous gap formation, even without intervention from the transmigrating cells. These gaps preferentially appear at the vertices between three endothelial cells, as opposed to the border between two cells. We quantify the frequency and lifetime of these gaps, and validate our predictions experimentally. Interestingly, we find experimentally that cancer cells also preferentially extrava-sate at vertices, even when they first arrest on borders. This suggests that extravasating cells, rather than initially signaling to the endothelium, might exploit the autonomously forming gaps in the endothelium to initiate transmigration.
|
520 |
|
|
|a National Cancer Institute (U.S.) (Grant U01 CA202177)
|
520 |
|
|
|a National Cancer Institute (U.S.) (Grant U01 CA177799)
|
520 |
|
|
|a Spain. Ministry of Economy and Competitiveness (FPI: BES-2013-063684)
|
520 |
|
|
|a Cancer Research UK (Grant StG 306571)
|
520 |
|
|
|a Cancer Research UK ( Multidisciplinary Award (C57744/A22057))
|
520 |
|
|
|a Cancer Research UK (Centre Award (C416/A25145))
|
520 |
|
|
|a Leverhulme Trust (Grant RPG-2018-443)
|
520 |
|
|
|a Wellcome Trust-MIT Fellowships ((WT103883)
|
546 |
|
|
|a en
|
690 |
|
|
|a Ecology
|
690 |
|
|
|a Modelling and Simulation
|
690 |
|
|
|a Computational Theory and Mathematics
|
690 |
|
|
|a Genetics
|
690 |
|
|
|a Ecology, Evolution, Behavior and Systematics
|
690 |
|
|
|a Molecular Biology
|
690 |
|
|
|a Cellular and Molecular Neuroscience
|
655 |
7 |
|
|a Article
|
773 |
|
|
|t 10.1371/journal.pcbi.1006395
|
773 |
|
|
|t PloS one
|