Abstract
Formations of neuronal networks and body tissues are controlled by multi-cellular collective migration during embryonic development. Despite the fact that individually migratory cells show stochastic behaviors, the development is precisely regulated. Although such a property of single cell migration has been investigated, relationship between microscopic property of individual cell migration and macroscopic multi-cellular migration remains largely unknown. To explore this, we focused on migration of neural crest cells, during which cells collectively migrate accompanied with autonomous formation of stream. Computer simulations of our multi-cellular model suggested that the stochastic migration in the level of single cells works to efficiently achieve collective migration.
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References
Ueda, M., Shibata, T.: Stochastic signal processing and transduction in chemotactic response of eukaryotic cells. Biophysical Journal 93, 11–20 (2007)
Naoki, H., Sakumura, Y., Ishii, S.: Stochastic control of spontaneous signal generation for gradient sensing in chemotaxis. Journal of Theoretical Biology 255, 259–266 (2008)
Friedl, P., Wolf, K.: Plasticity of cell migration: a multiscale tuning model. Journal of Cell Biology 188, 11–19 (2009)
Arrieumerlou, C., Meyer, T.: A local coupling model and compass parameter for eukaryotic chemotaxis. Developmental Cell 8, 215–227 (2005)
Friedl, P., Gilmour, D.: Collective cell migration in morphogenesis, regeneration and cancer. Nature Reviews Molecular Cell Biology 10, 445–457 (2009)
Thiery, J.: Epithelial–mesenchymal transitions in tumour progression. Nature Reviews Cancer 2, 442–454 (2002)
Hegerfeldt, Y., Tusch, M., Brocker, E., Friedl, P.: Collective Cell Movement in Primary Melanoma Explants: Plasticity of Cell-Cell Interaction,{beta} 1-Integrin Function, and Migration Strategies. Cancer Research 62, 2125–2130 (2002)
Wolf, K., Wu, Y., Liu, Y., Geiger, J., Tam, E., Overall, C., Stack, M., Friedl, P.: Multi-step pericellular proteolysis controls the transition from individual to collective cancer cell invasion. Nature Cell Biology 9, 893–904 (2007)
Young, H., Bergner, A., Anderson, R., Enomoto, H., Milbrandt, J., Newgreen, D., Whitington, P.: Dynamics of neural crest-derived cell migration in the embryonic mouse gut. Developmental Biology 270, 455–473 (2004)
Lim, C., Zhou, E., Quek, S.: Mechanical models for living cells–a review. Journal of Biomechanics 39, 195–216 (2006)
Eickholt, B., Mackenzie, S., Graham, A., Walsh, F., Doherty, P.: Evidence for collapsin-1 functioning in the control of neural crest migration in both trunk and hindbrain regions. Development 126, 2181–2189 (1999)
McLennan, R., Kulesa, P.: In vivo analysis reveals a critical role for neuropilin-1 in cranial neural crest cell migration in chick. Developmental Biology 301, 227–239 (2007)
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Yamao, M., Naoki, H., Ishii, S. (2010). Noise-Induced Collective Migration for Neural Crest Cells. In: Diamantaras, K., Duch, W., Iliadis, L.S. (eds) Artificial Neural Networks – ICANN 2010. ICANN 2010. Lecture Notes in Computer Science, vol 6352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15819-3_20
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DOI: https://doi.org/10.1007/978-3-642-15819-3_20
Publisher Name: Springer, Berlin, Heidelberg
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