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Itemtyp:Item, Role of lipofibroblasts in alveolar regeneration after viral infection(2025) Kiliaris, GeorgiosAs of today, pneumonia induced ARDS has a very high mortality rate with effective treatments being extremely limited. One of the main features of ARDS is the presence of oedema in the airspace of the lung which happens because of the damage inflicted on the tight junctions of the alveolar epithelial cells resulting in the collapse of the alveoli. During homeostasis, it is already known that alveolar fibroblasts 1 (AF1) or lipofibroblasts, are in a very close proximity with the alveolar type 2 (AT2) cells providing them with lipid droplets and therefore supporting them with surfactant production. So, a strong communication between the mesenchyme (AF1 cells) and the alveolar epithelium (AT2 cells) is in effect during homeostatic conditions. Our bulk RNA sequencing data from the mesenchyme of the lung in mock and infected wild type mice (7- and 14-days post infection), showed that the differences in the transcriptomic profile of the 7 d.p.i. mice compared to the control were significant, and between the 14 d.p.i. mice and mock relatively similar, indicating that at 14 d.p.i. the lung was recovering. Importantly, when we looked at the top 100 upregulated genes between days 7 and 14, we noticed several genes associated with AF1 being upregulated 14 d.p.i.. The same genes were also significantly downregulated 7 d.p.i. compared to the mock mice. Following that, we performed a GSEA analysis for the AF1 signature in both day 7 and 14 and that confirmed the loss of AF1 signature 7 d.p.i. and its recovery at 14 d.p.i.. To follow the fate of AF1, we used the Fgf10CreERT2;tdTomatoflox line to lineage trace them and since we have previously shown that metformin can act on the AF1 and have a positive impact on the resolution of bleomycin induced fibrosis in mice, we used metformin as a therapeutic factor. Our data revealed that mice treated with metformin were doing better after infection with significantly less damage present on the lung. We could also observe the loss of the lineage after infection and its restoration after treatment with metformin with the AF1 regaining their lipogenic phenotype. Our single cell RNA sequencing data, also showed us that metformin was able to alter the transcriptomic profile of the lineage traced cells with pathways such as mTOR, cGMP- PKG and AMPK being upregulated and processes such as alveolar development and 59 morphogenesis being enriched. Our results were confirmed in our murine and human PCLS infection model with AF1 markers and, most importantly, AT1 and AT2 markers being upregulated after metformin treatment. Single cell RNA sequencing analysis on the SftpcCre-ERT2;tdTomatoflox lineage traced mice, a line that trace the fate of the AT2 cells, also showed that metformin can accelerate the differentiation of AT2 cells through ADIs to AT1 cells. Integrating the Fgf10Cre-ERT2;tdTomatoflox and SftpcCre-ERT2;tdTomatoflox single cell RNA sequencing data sets, gave us the opportunity to study the dynamics in the intercellular communication between AF1 and AT2. Thus, after performing a comprehensive CellChat analysis, we were able to identify GDF10 and HH as unique pathways of interaction between AF1 and AT2 after treatment with metformin. Quantitative PCR analysis on the murine and human PCLS infection models confirmed the upregulation of GDF10 after treatment with metformin. Also, treating murine PCLS with recombinant GDF10 after infection, showed upregulation of AT1 and AT2 markers further strengthening the idea that GDF10 is important for lung regeneration after influenza-induced lung injury. Importantly, when we studied the human lung cell atlas, we observed a significant downregulation of the AF1 signature and on the expression of GDF10 in the SARS- CoV-2 patients data compared with the donors. The downregulation of GDF10 was also confirmed when we performed in situ hybridization in three different IAV-induced ARDS patients compared to three different donors. With these data, we were able to show the relevance of our murine based results to the human pathological conditions.Itemtyp:Item, Partnership throughout the ages: The coevolution of the transcriptional regulators LEUNIG and SEUSS in the green plant lineage(2026) Garrecht, Julian VincentThe LEUNIG (LUG) and SEUSS (SEU) families of transcriptional regulators are centralmodulators of angiosperm development, with relevance lower formation, developmentof male and female gametangia, embryo development, and general plant growth. Theirinteraction forms a regulatory platform, bringing transcription factors and histone mod‐i iers together to both activate and repress target gene expression, thus creating a vastgene regulatory network. Interestingly, both families are deeply conserved, being presentin all land plant lineages and in many streptophyte algae, raising questions about whenthe origin of the LUG – SEU protein module, about their functions outside of angiosperms,and how the module evolved to govern various critical reproductive processes. This dis‐sertation demonstrates that the protein interaction between these two families, and withthe MADS‐box transcription factor family, evolved at least 800 million years ago in thestreptophyte algae, an that LUG and SEU exhibit a strong coevolution ever since. Theyare shown to function as gene regulatory hubs that, among other things, evolved along‐side the MADS‐box proteins to regulate multiple aspects of lower development and an‐giosperm reproduction, in concert with functions in stress response and phytohormonesignaling. Furthermore, the functions of LUG homologs in the moss Physcomitrium patenswere studied, revealing their connections to a critical developmental transition in mosses,and to the regulation of the auxin signaling pathway of land plants.Itemtyp:Item, Seed inoculation of Hartmannibacter diazotrophicus does not alter the rhizosphere bacterial microbiome of wheat and barley in a three-year field trial(2025) Quiroga, Santiago; Ratering, Stefan; Rosado-Porto, David; Rekowski, Azin; Schulz, Franz; Zörb, Christian; Schnell, SylviaThe effects of plant growth promoting bacteria used for inoculation on native microorganisms remain unexplored under field conditions and, to a lesser extent, in longitudinal studies using different crops. This study, spanning three seasons across two organic fields, examined through 16S rRNA gene sequencing how the seed inoculation of Hartmannibacter diazotrophicus influenced the rhizosphere bacterial communities of wheat and barley. In addition to bacterial inoculation, the effects of row spacing and organic fertilizer application were also assessed. Together with previous results, we determined that H. diazotrophicus could improve crop yield parameters without altering the bacterial community composition. Alpha and beta diversity indices showed non-significant effects for most of the three factors evaluated. The 19 most prevalent taxa at the genus level were identified in both crop species, which mainly encompassed the phyla Pseudomonadota, Acidobacteriota, and Actinomycetota. Differential abundance analysis showed that the location significantly influenced the recruitment of different bacterial communities by the same crop species. While in one organic farm, 2860 ASVs were affected by crop species, 232 ASVs were impacted at the other location. Further analyses, including longitudinal analysis, linear mixed model effects, and diversity indices, showed a significant effect of location, crop species, and season on the dynamics of bacterial communities. Our results are unusual compared with most of the studies reported and indicate the resilience of rhizosphere bacterial populations after the incorporation of an allochthonous microorganism such as H. diazotrophicus.Itemtyp:Item, On the largest independent sets in the Kneser graph on chambers of PG(4,q)(2025) Heering, PhilippLet Γ4be the graph whose vertices are the chambers of the finite projective 4-space PG(4,q), with two vertices being adjacent if the corresponding chambers are in general position. For q≥749we show that (q2+q+1)(q3+2q2+q+1)(q+1)2is the independence number of Γ4and the geometric structure of the largest independent sets is described.Itemtyp:Item, Das individuelle Beratungsportfolio: Eine Möglichkeit zur Dokumentation, Analyse, Reflexion und Kom-munikation von Beratungskompetenz(2026-07-06) Krebs, NiklasDiese wissenschaftliche Handreichung richtet sich an alle Forschenden, Lehrenden und Verwaltenden, denen im Rahmen ihrer Tätigkeiten Beratungsaufgaben zukommen und sie diese einmal professionell dokumentieren, analysieren, reflektieren und adressatengerecht kommunizieren möchten. In ihr wird ausführlich dargelegt, aus welchen Kontexten sich das individuelle Beratungsportfolio zur Dokumentation, Analyse, Reflexion und Kommunikation von Beratungskompetenz heraus entwickelt hat, wie es sich definieren lässt und wie es aufgebaut ist, aus welchen Komponenten es sich zusammensetzt und wie diese sich individuell ausformulieren lassen, welche individuellen Ziele man selbst mit ihm verfolgen und wo es überall zur Anwendung kommen kann. Im Anhang befindet sich überdies ein tabellarischer Leitfaden, an welchen man sich bei der Erstellung und Ausformulierung des eigenen individuellen Beratungsportfolios orientieren kann.