Research Center Borstel

Mission: We perform cutting-edge research on data generated by novel biomolecular technologies to address questions in pneumology. Towards this, we use biological high-throughput data, i.e., OMICs data, to gain insights into molecular and phenotypic traits and diseases using computational methods. We combine data, methodology and their applications in pneumology through interdisciplinary collaboration with mathematicians, computer scientists, biologists and physicians.

This project collects summary information and (visual) characterizations of lung health related polygenic scores and underlying GWAS, based on publicly available data.

Background: The immunoproteasome is expressed constitutively in immune cells alongside standard proteasomes and forms multiple mixed types of proteasome complexes. These mixed 20S proteasomes may have distinct proteolytic activities depending on their subunit composition and may thereby regulate immune cell function. Using site-specific versus pan-inhibitors of the immunoproteasome, we here aim to dissect the biological functions of the three active sites of the immunoproteasome for monocyte cell ...

A file combining all CpG sites from the differentially methylated regions (DMRs) of the control, t0, and t1 groups was generated. This combined file, containing methylation values extracted from the bedgraph files, was then used to create a PCA plot and a single heatmap for all CpG sites across the regions.