scholarly journals Tissue self-organization based on collective cell migration by contact activation of locomotion and chemotaxis

2018 ◽  
Author(s):  
Taihei Fujimori ◽  
Akihiko Nakajima ◽  
Nao Shimada ◽  
Satoshi Sawai

AbstractDespite their central role in multicellular organization, navigation rules that dictate cell rearrangement remain much to be elucidated. Contact between neighboring cells and diffusive attractant molecules are two of the major determinants of tissue-level patterning, however in most cases, molecular and developmental complexity hinders one from decoding the exact governing rules of individual cell movement. A primordial example of tissue patterning by cell rearrangement is found in the social amoeba Dictyostelium discoideum where the organizing center or the ‘tip’ self-organize as a result of sorting of differentiating prestalk and prespore cells. Due to its relatively simple and conditional multicellularity, the system provides a rare case where the process can be fully dissected into individual cell behavior. By employing microfluidics and microsphere-based manipulation of navigational cues at the single-cell level, here we uncovered a previously overlooked mode of Dictyostelium cell migration that is strictly directed by cell-cell contact. The cell-cell contact signal is mediated by E-set Ig-like domain containing heterophilic adhesion molecules TgrB1/TgrC1 that act in trans to induce plasma membrane recruitment of SCAR complex and formation of dendritic actin networks, and the resulting cell protrusion competes with those induced by chemoattractant cAMP. Furthermore, we demonstrate that both prestalk and prespore cells can protrude towards the contact signal as well as to chemotax towards cAMP, however when given both signals, prestalk cells orient towards the chemoattractant whereas prespore cells choose the contact signal. These data suggest a new model of cell sorting by competing juxtacrine and diffusive cues each with potential to drive its own mode of collective cell migration. The present findings not only resolve the long standing question of how cells sort in Dictyostelium but also cast light on the remarkable parallels in collective cell migration that evolved independently in metazoa and amoebozoa.

2019 ◽  
Vol 116 (10) ◽  
pp. 4291-4296 ◽  
Author(s):  
Taihei Fujimori ◽  
Akihiko Nakajima ◽  
Nao Shimada ◽  
Satoshi Sawai

Despite their central role in multicellular organization, navigation rules that dictate cell rearrangement remain largely undefined. Contact between neighboring cells and diffusive attractant molecules are two of the major determinants of tissue-level patterning; however, in most cases, molecular and developmental complexity hinders one from decoding the exact governing rules of individual cell movement. A primordial example of tissue patterning by cell rearrangement is found in the social amoebaDictyostelium discoideumwhere the organizing center or the “tip” self-organizes as a result of sorting of differentiating prestalk and prespore cells. By employing microfluidics and microsphere-based manipulation of navigational cues at the single-cell level, here we uncovered a previously overlooked mode ofDictyosteliumcell migration that is strictly directed by cell–cell contact. The cell–cell contact signal is mediated by E-set Ig-like domain-containing heterophilic adhesion molecules TgrB1/TgrC1 that act in trans to induce plasma membrane recruitment of the SCAR complex and formation of dendritic actin networks, and the resulting cell protrusion competes with those induced by chemoattractant cAMP. Furthermore, we demonstrate that both prestalk and prespore cells can protrude toward the contact signal as well as to chemotax toward cAMP; however, when given both signals, prestalk cells orient toward the chemoattractant, whereas prespore cells choose the contact signal. These data suggest a model of cell sorting by competing juxtacrine and diffusive cues, each with potential to drive its own mode of collective cell migration.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yoshifumi Asakura ◽  
Yohei Kondo ◽  
Kazuhiro Aoki ◽  
Honda Naoki

AbstractCollective cell migration is a fundamental process in embryonic development and tissue homeostasis. This is a macroscopic population-level phenomenon that emerges across hierarchy from microscopic cell-cell interactions; however, the underlying mechanism remains unclear. Here, we addressed this issue by focusing on epithelial collective cell migration, driven by the mechanical force regulated by chemical signals of traveling ERK activation waves, observed in wound healing. We propose a hierarchical mathematical framework for understanding how cells are orchestrated through mechanochemical cell-cell interaction. In this framework, we mathematically transformed a particle-based model at the cellular level into a continuum model at the tissue level. The continuum model described relationships between cell migration and mechanochemical variables, namely, ERK activity gradients, cell density, and velocity field, which could be compared with live-cell imaging data. Through numerical simulations, the continuum model recapitulated the ERK wave-induced collective cell migration in wound healing. We also numerically confirmed a consistency between these two models. Thus, our hierarchical approach offers a new theoretical platform to reveal a causality between macroscopic tissue-level and microscopic cellular-level phenomena. Furthermore, our model is also capable of deriving a theoretical insight on both of mechanical and chemical signals, in the causality of tissue and cellular dynamics.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Takehiko Ichikawa ◽  
Carsten Stuckenholz ◽  
Lance A. Davidson

Abstract Classical cadherins are well-known adhesion molecules responsible for physically connecting neighboring cells and signaling this cell–cell contact. Recent studies have suggested novel signaling roles for “non-junctional” cadherins (NJCads); however, the function of cadherin signaling independent of cell–cell contacts remains unknown. In this study, mesendodermal cells and tissues from gastrula stage Xenopus laevis embryos demonstrate that deletion of extracellular domains of Cadherin3 (Cdh3; formerly C-cadherin in Xenopus) disrupts contact inhibition of locomotion. In both bulk Rac1 activity assays and spatio-temporal FRET image analysis, the extracellular and cytoplasmic Cdh3 domains disrupt NJCad signaling and regulate Rac1 activity in opposing directions. Stabilization of the cytoskeleton counteracted this regulation in single cell migration assays. Our study provides novel insights into adhesion-independent signaling by Cadherin3 and its role in regulating single and collective cell migration.


2019 ◽  
Author(s):  
Takehiko Ichikawa ◽  
Carsten Stuckenholz ◽  
Lance A. Davidson

AbstractClassical cadherins are well-known primary adhesion molecules responsible for physically connecting neighboring cells and signaling the cell-cell contact. Recent studies have suggested novel signaling roles for “non-junctional” cadherins (Niessen and Gottardi, 2008; Padmanabhan et al., 2017); however, the function of cadherin signaling independent of cell-cell contacts remains unknown. In this study, we used mesendoderm cells and tissues from gastrula stage Xenopus laevis embryos to demonstrate that extracellular and cytoplasmic cadherin domains regulate Rac1 in opposing directions in the absence of cell-cell contacts. Furthermore, we found that non-junctional cadherins regulate contact inhibition of locomotion (CIL) during gastrulation through alterations in the stability of the cytoskeleton. Live FRET imaging of Rac1 activity illustrated how non-junction cadherin3 (formerly C-cadherin) spatio-temporally regulates CIL. Our study provides novel insights into adhesion-independent signaling by cadherin3 and its role in regulating single and collective cell migration in vivo.


2019 ◽  
Vol 116 (9) ◽  
pp. 3536-3545 ◽  
Author(s):  
Pradeep Kota ◽  
Elizabeth M. Terrell ◽  
Daniel A. Ritt ◽  
Christine Insinna ◽  
Christopher J. Westlake ◽  
...  

Collective cell migration is required for normal embryonic development and contributes to various biological processes, including wound healing and cancer cell invasion. The M-Ras GTPase and its effector, the Shoc2 scaffold, are proteins mutated in the developmental RASopathy Noonan syndrome, and, here, we report that activated M-Ras recruits Shoc2 to cell surface junctions where M-Ras/Shoc2 signaling contributes to the dynamic regulation of cell–cell junction turnover required for collective cell migration. MCF10A cells expressing the dominant-inhibitory M-RasS27N variant or those lacking Shoc2 exhibited reduced junction turnover and were unable to migrate effectively as a group. Through further depletion/reconstitution studies, we found that M-Ras/Shoc2 signaling contributes to junction turnover by modulating the E-cadherin/p120-catenin interaction and, in turn, the junctional expression of E-cadherin. The regulatory effect of the M-Ras/Shoc2 complex was mediated at least in part through the phosphoregulation of p120-catenin and required downstream ERK cascade activation. Strikingly, cells rescued with the Noonan-associated, myristoylated-Shoc2 mutant (Myr-Shoc2) displayed a gain-of-function (GOF) phenotype, with the cells exhibiting increased junction turnover and reduced E-cadherin/p120-catenin binding and migrating as a faster but less cohesive group. Consistent with these results, Noonan-associated C-Raf mutants that bypass the need for M-Ras/Shoc2 signaling exhibited a similar GOF phenotype when expressed in Shoc2-depleted MCF10A cells. Finally, expression of the Noonan-associated Myr-Shoc2 or C-Raf mutants, but not their WT counterparts, induced gastrulation defects indicative of aberrant cell migration in zebrafish embryos, further demonstrating the function of the M-Ras/Shoc2/ERK cascade signaling axis in the dynamic control of coordinated cell movement.


2020 ◽  
Author(s):  
Andreas Deutsch ◽  
Josué Manik Nava-Sedeño ◽  
Simon Syga ◽  
Haralampos Hatzikirou

1AbstractCollective dynamics in multicellular systems such as biological organs and tissues plays a key role in biological development, regeneration, and pathological conditions. Collective dynamics - understood as population behaviour arising from the interplay of the constituting discrete cells - can be studied with mathematical models. Off- and on-lattice agent-based models allow to analyse the link between individual cell and collective behaviour. Notably, in on-lattice agent-based models known as cellular automata, collective behaviour can not only be analysed through computer simulations, but predicted with mathematical methods. However, classical cellular automaton models fail to replicate key aspects of collective migration, which is a central instance of collective behaviour in multicellular systems.To overcome drawbacks of classical on-lattice models, we introduce a novel on-lattice, agent-based modelling class for collective cell migration, which we call biological lattice-gas cellular automaton (BIO-LGCA). The BIO-LGCA is characterised by synchronous time updates, and the explicit consideration of individual cell velocities. While rules in classical cellular automata are typically chosen ad hoc, we demonstrate that rules for cell-cell and cell-environment inter-actions in the BIO-LGCA can also be derived from experimental single cell migration data or biophysical laws for individual cell migration. Furthermore, we present elementary BIO-LGCA models of fundamental cell interactions, which may be combined in a modular fashion to model complex multicellular phenomena. Finally, we present a mathematical mean-field analysis of a BIO-LGCA model that allows to predict collective patterns for a particular cell-cell interaction. A Python package which implements various interaction rules and visualisations of BIO-LGCA model simulations we have developed is available at https://github.com/sisyga/BIO-LGCA.2Author summaryPathophysiological tissue dynamics, such as cancer tissue invasion, and structure formation during embryonic development, emerge from individual inter-cellular interactions. In order to study the impact of single cell dynamics and cell-cell interactions on tissue behaviour, one needs to develop space-time-dependent agent-based models (ABMs), which consider the behaviour of individual cells. Typically, in agent-based models there is a payoff between biological realism and computational cost of corresponding model simulations. Continuous time ABMs are typically more realistic but computationally expensive, while rule- and lattice-based ABMs are regarded as phenomenological but computationally efficient and amenable to mathematical analysis. Here, we present the rule- and lattice-based BIO-LGCA modelling class which allows for (i) rigorous derivation of rules from biophysical laws and/or experimental data, (ii) mathematical analysis of the resulting dynamics, and (iii) computational efficiency.


Sign in / Sign up

Export Citation Format

Share Document