Spatial Cellular Networks from omics data with SpaCeNet.

Advances in omics technologies have allowed spatially resolved molecular profiling of single cells, providing a window not only into the diversity and distribution of cell types within a tissue, but also into the effects of interactions between cells in shaping the transcriptional landscape. Cells send chemical and mechanical signals which are received by other cells, where they can subsequently initiate context-specific gene regulatory responses. These interactions and their responses shape the individual molecular phenotype of a cell in a given microenvironment.

GGTyper: genotyping complex structural variants using short-read sequencing data.

Motivation: Complex structural variants (SVs) are genomic rearrangements that involve multiple segments of DNA. They contribute to human diversity and have been shown to cause Mendelian disease. Nevertheless, our abilities to analyse complex SVs are very limited.

IL-2 and TCR stimulation induce expression and secretion of IL-32β by human T cells.

IL-32 expression is important for pathogen clearance but detrimental in chronic inflammation, autoimmunity, and cancer. T cells are major IL-32 producers in these diseases and key mediators of pathogen and tumor elimination but also autoimmune destruction. However, their contribution to IL-32 biology during immune responses is hardly understood due to several isoforms with divergent inflammatory properties.

Cadmium Maximum Levels and Residue Situation in the German Wheat and Rye Harvest from 1975 to 2021.

For a better understanding of cadmium (Cd) accumulation over long time periods in cereals, Cd levels of the German wheat and rye harvest from 1975 to 2021 were analyzed. Overall, wheat had higher grain Cd concentrations than rye. Comparing mean values from different time periods showed that Cd levels in winter rye have stabilized, while Cd concentrations in winter wheat have decreased.

Restricting datasets to classifiable samples augments discovery of immune disease biomarkers.

Immunological diseases are typically heterogeneous in clinical presentation, severity and response to therapy. Biomarkers of immune diseases often reflect this variability, especially compared to their regulated behaviour in health. This leads to a common difficulty that frustrates biomarker discovery and interpretation - namely, unequal dispersion of immune disease biomarker expression between patient classes necessarily limits a biomarker's informative range.