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Erratum: Tumor Invasion Optimization by Mesenchymal-Amoeboid Heterogeneity

Metastasizing tumor cells migrate through the surrounding tissue and extracellular matrix toward the blood vessels, in order to colonize distant organs. They typically move in a dense environment, filled with other cells. In this work we study cooperative effects between neighboring cells of differe...

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Published in:Scientific reports 2015-07, Vol.5 (1), p.12121-12121, Article 12121
Main Authors: Hecht, Inbal, Bar-El, Yasmin, Balmer, Frederic, Natan, Sari, Tsarfaty, Ilan, Schweitzer, Frank, Ben-Jacob, Eshel
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container_title Scientific reports
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Bar-El, Yasmin
Balmer, Frederic
Natan, Sari
Tsarfaty, Ilan
Schweitzer, Frank
Ben-Jacob, Eshel
description Metastasizing tumor cells migrate through the surrounding tissue and extracellular matrix toward the blood vessels, in order to colonize distant organs. They typically move in a dense environment, filled with other cells. In this work we study cooperative effects between neighboring cells of different types, migrating in a maze-like environment with directional cue. Using a computerized model, we measure the percentage of cells that arrive to the defined target, for different mesenchymal/amoeboid ratios. Wall degradation of mesenchymal cells, as well as motility of both types of cells, are coupled to metabolic energy-like resource level. We find that indirect cooperation emerges in mid-level energy, as mesenchymal cells create paths that are used by amoeboids. Therefore, we expect to see a small population of mesenchymals kept in a mostly-amoeboid population. We also study different forms of direct interaction between the cells, and show that energy-dependent interaction strength is optimal for the migration of both mesenchymals and amoeboids. The obtained characteristics of cellular cluster size are in agreement with experimental results. We therefore predict that hybrid states, e.g. epithelial-mesenchymal, should be utilized as a stress-response mechanism.
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subjects 631/114/2397
631/57/2266
Erratum
Humanities and Social Sciences
multidisciplinary
Science
Science (multidisciplinary)
title Erratum: Tumor Invasion Optimization by Mesenchymal-Amoeboid Heterogeneity
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