TY - JOUR
T1 - Role of differential adhesion in cell cluster evolution
T2 - from vasculogenesis to cancer metastasis
AU - Singh, Jaykrishna
AU - Hussain, Fazle
AU - Decuzzi, Paolo
N1 - Funding Information:
This work was supported by the Cancer Prevention Research Institute of Texas through the grant from CPRIT (No. RP110262). P.D. also acknowledges the partial support through grants from the National Institutes of Health (USA) (NIH; Nos U54CA143837 and U54CA151668).
Publisher Copyright:
© 2013, © 2013 Taylor & Francis.
PY - 2015/2/7
Y1 - 2015/2/7
N2 - Cell–cell and cell–matrix adhesions are fundamental to numerous physiological processes, including angiogenesis, tumourigenesis, metastatic spreading and wound healing. We use cellular potts model to computationally predict the organisation of cells within a 3D matrix. The energy potentials regulating cell–cell (JCC) and cell–matrix (JMC) adhesive interactions are systematically varied to represent different, biologically relevant adhesive conditions. Chemotactically induced cell migration is also addressed. Starting from a cluster of cells, variations in relative cell adhesion alone lead to different cellular patterns such as spreading of metastatic tumours and angiogenesis. The combination of low cell–cell adhesion (high JCC) and high heterotypic adhesion (low JMC) favours the fragmentation of the original cluster into multiple, smaller cell clusters (metastasis). Conversely, cellular systems exhibiting high-homotypic affinity (low JCC) preserve their original configuration, avoiding fragmentation (organogenesis). For intermediate values of JCC and JMC (i.e. JCC/JMC ∼ 1), tubular and corrugated structures form. Fully developed vascular trees are assembled only in systems in which contact-inhibited chemotaxis is activated upon cell contact. Also, the rate of secretion, diffusion and sequestration of chemotactic factors, cell deformability and motility do not significantly affect these trends. Further developments of this computational model will predict the efficacy of therapeutic interventions to modulate the diseased microenvironment by directly altering cell cohesion.
AB - Cell–cell and cell–matrix adhesions are fundamental to numerous physiological processes, including angiogenesis, tumourigenesis, metastatic spreading and wound healing. We use cellular potts model to computationally predict the organisation of cells within a 3D matrix. The energy potentials regulating cell–cell (JCC) and cell–matrix (JMC) adhesive interactions are systematically varied to represent different, biologically relevant adhesive conditions. Chemotactically induced cell migration is also addressed. Starting from a cluster of cells, variations in relative cell adhesion alone lead to different cellular patterns such as spreading of metastatic tumours and angiogenesis. The combination of low cell–cell adhesion (high JCC) and high heterotypic adhesion (low JMC) favours the fragmentation of the original cluster into multiple, smaller cell clusters (metastasis). Conversely, cellular systems exhibiting high-homotypic affinity (low JCC) preserve their original configuration, avoiding fragmentation (organogenesis). For intermediate values of JCC and JMC (i.e. JCC/JMC ∼ 1), tubular and corrugated structures form. Fully developed vascular trees are assembled only in systems in which contact-inhibited chemotaxis is activated upon cell contact. Also, the rate of secretion, diffusion and sequestration of chemotactic factors, cell deformability and motility do not significantly affect these trends. Further developments of this computational model will predict the efficacy of therapeutic interventions to modulate the diseased microenvironment by directly altering cell cohesion.
KW - cellular organisation
KW - cellular potts model
KW - cell–cell adhesion
KW - cell–matrix adhesion
KW - chemotaxis
KW - pattern formation
UR - http://www.scopus.com/inward/record.url?scp=84908408875&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84908408875&partnerID=8YFLogxK
U2 - 10.1080/10255842.2013.792917
DO - 10.1080/10255842.2013.792917
M3 - Article
C2 - 23656190
AN - SCOPUS:84908408875
VL - 18
SP - 282
EP - 292
JO - Computer Methods in Biomechanics and Biomedical Engineering
JF - Computer Methods in Biomechanics and Biomedical Engineering
SN - 1025-5842
IS - 3
ER -