Dataset Information

Continuous Dynamic Modeling of Regulated Cell Adhesion: Sorting, Intercalation, and Involution.

ABSTRACT: Cell-cell adhesion is essential for tissue growth and multicellular pattern formation and crucial for the cellular dynamics during embryogenesis and cancer progression. Understanding the dynamical gene regulation of cell adhesion molecules (CAMs) responsible for the emerging spatial tissue behaviors is a current challenge because of the complexity of these nonlinear interactions and feedback loops at different levels of abstraction-from genetic regulation to whole-organism shape formation. To extend our understanding of cell and tissue behaviors due to the regulation of adhesion molecules, here we present a novel, to our knowledge, model for the spatial dynamics of cellular patterning, growth, and shape formation due to the differential expression of CAMs and their regulation. Capturing the dynamic interplay between genetic regulation, CAM expression, and differential cell adhesion, the proposed continuous model can explain the complex and emergent spatial behaviors of cell populations that change their adhesion properties dynamically because of inter- and intracellular genetic regulation. This approach can demonstrate the mechanisms responsible for classical cell-sorting behaviors, cell intercalation in proliferating populations, and the involution of germ layer cells induced by a diffusing morphogen during gastrulation. The model makes predictions on the physical parameters controlling the amplitude and wavelength of a cellular intercalation interface, as well as the crucial role of N-cadherin regulation for the involution and migration of cells beyond the gradient of the morphogen Nodal during zebrafish gastrulation. Integrating the emergent spatial tissue behaviors with the regulation of genes responsible for essential cellular properties such as adhesion will pave the way toward understanding the genetic regulation of large-scale complex patterns and shapes formation in developmental, regenerative, and cancer biology.

SUBMITTER: Ko JM

PROVIDER: S-EPMC6895740 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Continuous Dynamic Modeling of Regulated Cell Adhesion: Sorting, Intercalation, and Involution.

Ko Jason M JM Lobo Daniel D

Biophysical journal 20191031 11

Cell-cell adhesion is essential for tissue growth and multicellular pattern formation and crucial for the cellular dynamics during embryogenesis and cancer progression. Understanding the dynamical gene regulation of cell adhesion molecules (CAMs) responsible for the emerging spatial tissue behaviors is a current challenge because of the complexity of these nonlinear interactions and feedback loops at different levels of abstraction-from genetic regulation to whole-organism shape formation. To ex ...[more]

PMID: 31732144

Similar Datasets

Project description:Cell surface molecular adhesions govern many important physiological processes and are used to identify cells for analysis and purifications. But most effective cell adhesion separation technologies use labels or long-term attachments in their application. While label-free separation microsystems typically separate cells by size, stiffness, and shape, they often do not provide sufficient specificity to cell type that can be obtained from molecular expression. We demonstrate a label-free microfluidic approach capable of high throughput separation of cells based upon surface molecule adhesion. Cells are flowed through a microchannel designed with angled ridges at the top of the channel and coated with adhesive ligands specific to target cell receptors. The ridges slightly compress passing cells such that adhesive contact can be made with sufficient surface area without unduly affecting cell trajectories because of cell stiffness. Thus, sorting is sensitive to cell adhesion but not to stiffness or cell size. The enforced interactions between the cells and the ridges ensure that a high flow rate can be used without lift forces quenching adhesion. As a proof of principle of the method, we separate both Jurkat and HL60 cell lines based on their differential expression of PSGL-1 ligand by using a ridged channel coated with P selectin. We demonstrate 26-fold and 3.8-fold enrichment of PSGL-1 positive and 4.4-fold and 3.2-fold enrichment of PSGL-1 negative Jurkat and HL60 cells, respectively. Increasing the number of outlets to five allows for greater resolution in PSGL-1 selection resulting in fractionation of a single cell type into subpopulations of cells with high, moderate, and low PSGL-1 expression. The cells can flow at a rate of up to 0.2 m/s, which corresponds to 0.045 million cells per minute at the designed geometry, which is over 2 orders of magnitude higher than previous adhesive-based sorting approaches. Because of the short interaction time of the cells with the adhesive surfaces, the sorting method does not further activate the cells due to molecular binding. Such an approach may find use in label-free selection of cells for a highly expressed molecular phenotype.

Dataset Information

Continuous Dynamic Modeling of Regulated Cell Adhesion: Sorting, Intercalation, and Involution.

Publications

Continuous Dynamic Modeling of Regulated Cell Adhesion: Sorting, Intercalation, and Involution.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets