Cell–cell interaction

Résumé

Cell–cell interaction refers to the direct interactions between cell surfaces that play a crucial role in the development and function of multicellular organisms. These interactions allow cells to communicate with each other in response to changes in their microenvironment. This ability to send and receive signals is essential for the survival of the cell. Interactions between cells can be stable such as those made through cell junctions. These junctions are involved in the communication and organization of cells within a particular tissue. Others are transient or temporary such as those between cells of the immune system or the interactions involved in tissue inflammation. These types of intercellular interactions are distinguished from other types such as those between cells and the extracellular matrix. The loss of communication between cells can result in uncontrollable cell growth and cancer. Stable interactions Stable cell-cell interactions are required for cell adh

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https://en.wikipedia.org/wiki/Cell%E2%80%93cell_interaction

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The mammalian brain develops through a complex interplay of spatial cues generated by diffusible morphogens, cell-cell interactions and intrinsic genetic programs that result in probably more than a thousand distinct cell types. A complete understanding of this process requires a systematic characterization of cell states over the entire spatiotemporal range of brain development. The ability of single-cell RNA sequencing and spatial transcriptomics to reveal the molecular heterogeneity of complex tissues has therefore been particularly powerful in the nervous system. Previous studies have explored development in specific brain regions(1-8), the whole adult brain(9) and even entire embryos(10). Here we report a comprehensive single-cell transcriptomic atlas of the embryonic mouse brain between gastrulation and birth. We identified almost eight hundred cellular states that describe a developmental program for the functional elements of the brain and its enclosing membranes, including the early neuroepithelium, region-specific secondary organizers, and both neurogenic and gliogenic progenitors. We also used in situ mRNA sequencing to map the spatial expression patterns of key developmental genes. Integrating the in situ data with our single-cell clusters revealed the precise spatial organization of neural progenitors during the patterning of the nervous system. A comprehensive single-cell transcriptomic atlas of the mouse brain between gastrulation and birth identifies hundreds of cellular states and reveals the spatiotemporal organization of brain development.

NATURE PORTFOLIO2021

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3D multi-chamber fluidic systems for analysis of angiogenesis in biomaterials: development, characterization and applications

Carmen Bonvin

The cellular processes leading to capillary morphogenesis depend on external stimuli, in particular flow and morphogen gradients. Several devices have been designed to study these interactions in vitro. However, most of these devices allow a single experiment at a time, making it difficult to compare multiple conditions, which is needed for most biology experiments. Furthermore, it can be of great interest to use the same set of cells. Here we present two multi-chamber interstitial flow systems for side-by-side culture with the capability to follow the dynamics of individual cells. While a 9-chamber system was designed for cell culture or co-culture under radial flow, a multi-chamber migration assay allows studying cell migration into biomaterials under a constant flow profile. The effects of flow on lymphatic and blood endothelial cell morphology, as well as the extent of organization induced by VEGF, were observed. In addition, we demonstrated the feasibility of studying cell-cell interactions as well as cell-matrix interactions in a fibroblast and tumor cell co-culture. The two systems presented will allow for the study of interstitial flow and its effects

2009

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An extracellular matrix protein microarray to study endothelial to mesenchymal transformation in mitral valve endothelial cells

Blaise Calpe

In the developing heart, a subset of endothelial cells (ECs) undergo a process of endothelial to mesenchymal transformation (EMT) that leads to the remodeling of the cardiac cushions and the formation of the cardiac valves. Understanding how microenvironmental cues regulate EMT has important implication for the treatment of congenital heart valve diseases and for heart valve tissue engineering. Here a set of extracellular matrix (ECM) proteins and growth factors (GF) were tested to determine the extent of regulation of EMT in adult ovine mitral valve endothelial cells (MVECs). Traditional cell culture dishes present limitations on large scale screening of cells-microenvironments interactions. To address this problem, a high throughput cellular microarray platform was developed. Using a contact printer, 84 different combinations of ECM proteins and GF were microarrayed on a modified glass slide. The slides were seeded with MVECs and immunostained against EMT maker alpha smooth muscle actin ([alpha]-SMA). Fluorescence images of each spot of the microarray were taken with a microscope equipped with an automated stage. These images were analyzed with a custom image processing routine developed with CellProfiler to assess the percentage of cells expressing [alpha]-SMA on each ECM combination.

2011

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