Sentence examples for cellular interaction network from inspiring English sources

It has been found that TCs present morphological contact with immune cells to form a cellular interaction network to participate in immune regulation [ 19].

Given that about 25 000 protein-coding genes in the human genome can occur in multiple splice forms, the number of genes integrated in our cellular signaling model is still a fraction (ca. 2.5%) of the overall cellular interaction network; moreover, it is as yet devoid of aspects of the immune system and metabolism, such as cytochrome c, as well as the human microbial milieu.

Mapping the information above onto pathways or cellular interaction networks provides an additional informative view of therapeutic intervention points on the pathway: for example, for combination studies.

Datasets describing cellular interaction networks need to be integrated into predictive models of in vitro stem cell development.

Cellular interaction networks can be used to analyze the effects on cell signaling and other functional consequences of perturbations to cellular physiology.

Based on these data, the current study shows that tumor spheroids represent a novel tool to decipher determinants of tumor immune escape and to study cellular interaction networks in 3D.

Single tumor spheroids can be used i) to monitor tumor growth, ii) to investigate immunosurveillance and associated immune escape by soluble mediators, iii) to investigate tumor spheroid infiltration and spheroid destruction, and iv) to analyze cellular interaction networks by fluorescence microscopy and flow cytometry.

Inter-cellular interaction networks such as neuronal networks and immune responses determine organ and organism-level function.

The CFinder (http://cfinder.org) percolation algorithm was performed on the cellular protein interaction network part of HIN to construct a network of interconnected cellular proteins' modules.

Clearly, a more detailed and structured model is needed to explain how the cell resolves the issue of functional overlap and how an efficient cellular PDZ interaction network is crafted.

In this context Goh et al. explored the diseasome network to investigate the molecular basis of genetic diseases throughout integration of the cellular protein interaction network and the comprehensive dataset of disease-gene associations [ 11, 12].