Explore ARCs

A prototypic ARC that implements all specification standards accordingly

Genome sequencing of blackcurrant (Ribes nigrum)

Algae cultures were grown mixotrophically (TAP). After 24h of 35°C/40°C the cells were shifted back to room temperature for 48h. 'omics samples were taken.

"QUINOA DIVERSITY- Quinoa Phenotypic and Genotypic Diversity for Yield and Composition"

This ARC presents diverse data from MibiNet members to illustrate the application of MibiNet-specific SWATE templates and showcase examples of metadata annotation.

The trace element iron is essential for life, but elevated levels can rapidly cause cellular damage through oxidative stress. Bacteria, like Corynebacterium glutamicum, tightly regulate iron and heme homeostasis via the global regulators DtxR and HrrA. This study provides the first analysis of the genome-wide binding patterns of these two regulators demonstrating significant differences in binding dependent on the tested iron regimes. Overall, we identified 25 new DtxR targets and 210 previously unknown HrrA targets, including genes with crucial roles in central metabolism and DNA repair. Notably, DtxR was shown to link iron metabolism to methionine synthesis, which might be important to protect the cell from oxidative stress. Our findings highlight the interconnected nature of DtxR and HrrA networks and underscore the value of condition-specific analysis to deepen the understanding of how bacteria adapt to environmental changes. 

Oxa was applied to human cells and checked for antifibrotic effects

PPD-H1 Improves Stress Resistance and Energy Metabolism to Boost Spike Fertility under High Ambient Temperatures

Characterization of the FNR-type regulator GoxR

RNA seq from Solanum lycopersicoides plants, performed for the manuscript entitled "A Solanum lycopersicoides reference genome facilitates insights into tomato specialized metabolism and immunity."

A systematic overexpression approach reveals native targets to increase squalene production in Synechocystis sp. PCC 6803

This ARC is based on the research of Mönchgesang et al. 2016, who performed a metabolite profiling of 19 Arabidopsis thaliana accessions. The natural variability of root metabolic patterns was analyzed between different accessions, with the result that plant-to-plant variability is greater than natural variation between accessions and non-biological variation between experimental batches.