Cellular signalling networks articles from across Nature Portfolio

Studies in mice show that effector T regulatory cells in the gut are most functional in the lamina propria, but this homeostatic niche is disrupted in inflammation, suggesting a spatial mechanism of tolerance to commensal microorganisms.

Pan-cancer analysis of kindlin genes on patient genomic data reveals a distinct pattern of kindlin activity. Our analysis suggests kindlins as mechanochemical connector of major cancer hallmark pathways.

Combining single-cell RNA-sequencing with high-resolution multiplexed error-robust fluorescence in situ hybridization reveals in detail the cellular interactions and specialization of cardiac cell types that form and remodel the human heart.

When stem cells develop into tissues intracellular signalling is rewired, errors in this process lead to cancer. Here, authors applied tools from differential geometry made by Albert Einstein’s General Relativity to understand and predict biological network rewiring in health and disease.

Examination of the cell fate gene-regulatory networks of the moss Physcomitrium patens reveals regulons that exhibit misregulation in mutants for the calpain DEFECTIVE KERNEL1 (DEK1) gene.

Descriptive data in biomedical research are expanding rapidly, but functional validation methods lag behind. Here, authors present Logical Synthetic cis-regulatory DNA, a framework to design reporters that mark cellular states and pathways, showcasing its applicability to complex phenotypic states.

The response rates of pediatric cancers to immune checkpoint inhibitor therapies are disappointingly low, particularly when compared to the remarkable impact of these drugs in many adult cancers. A new study leverages clinical trial data to identify biomarkers that might improve patient selection in future clinical trials.

Discovering biological patterns from omics data is challenging due to the high dimensionality of biological data. A computational framework is presented to more efficiently calculate correlations among omics features and to build networks by estimating important connections.

In the era of big data, looking for insights in large datasets has become the norm — and health data are no exception. Combining systems-biology-driven, endophenotype-based analysis of drug targets with large-scale medical claims data points to sildenafil as a potential treatment opportunity for Alzheimer’s disease.

Sensitive synthetic protein-phosphorylation networks manifest fast bistable dynamics.

A model for Drosophila embryonic development is presented by integrating several types of experimental data spanning over several layers of space and time.