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Biology subjects

Maier, P.

Publications and source records attributed to Maier, P..

3 recordsLinked to original sources

Reconstructing their genomes confirms the historically attested genealogy of the two medieval emperors Otto I (the Great) and Heinrich II (Saint Henry)

The Medieval Ottonian dynasty had a lasting impact on European history. We obtained ancient genomic DNA from the purported remains of Otto I (912-973) and Heinrich (Henry) II (973-1024), the first and last emperors of this dynasty, preserved in the cathedrals of Magdeburg and Bamberg, respectively. Historical records attest that they were related as a great-uncle and a grandnephew via the paternal line. Whole-genome sequencing confirms such a relationship between the two individuals, as we identify a third-degree genetic relationship based on shared DNA segments and infer matching Y haplogroups. This genetic relatedness effectively identifies the remains of the two emperors. The authentication yields a valuable resource for refining and calibrating bio-archaeological methods. Because historical records provide the precise lifespans and dates of death of these individuals, their remains can serve as a "ground-truth" for methods such as radiocarbon dating and age-at-death estimates. They can provide calibration data to improve our understanding of the radiocarbon reservoir effects of Medieval elites. As the Ottonian lineage was closely linked to the mating networks of elites across Europe, the genomes of the two emperors are valuable resources for identifying other potential elite burials.

genetics↗

Leonardo: a toolset to correct sample-induced artifacts in light sheet microscopy images

Selective plane illumination microscopy (SPIM, also known as light sheet fluorescence microscopy) is the method of choice for studying morphogenesis and function in biological specimens over extended periods, as it permits gentle and rapid volumetric imaging. In inhomogeneous samples, however, sample-induced artifacts, including light absorption, scattering, and refraction, can impact the image quality, particularly as the focal plane gets deeper into the sample. Here, we present Leonardo, the first toolbox designed to address the major sample-induced artifacts by using two modules: (1) DeStripe removes stripe artifacts in SPIM caused by light absorption while preserving fine sample structures; (2) Fuse reconstructs a single high-quality image from dualsided illumination and/or dual-sided detection, while eliminating blur and optical distortions caused by light scattering and refraction. The efficacy of Leonardo is validated on a wide range of biological samples, from minimally invasive experiments on sensitive specimens (translucent embryonic and optically opaque larval zebrafish) to cleared mouse samples up to two centimeters in size. We provide model code and a Napari-based graphical user interface, enabling the SPIM community to easily apply Leonardo to advance light sheet imaging of inhomogeneous and complex specimens.

bioinformatics↗

Human chronic inflammation is orchestrated by spatially restricted inflammation-activated Dendritic cells

Dendritic cells (DCs) form coordinated networks that orchestrate inflammatory responses across tissues. Upon activation, conventional dendritic cells (DCs) undergo changes in their transcriptome, phenotype, and function, depending on the tissue microenvironment. The role of DC activation during human chronic inflammation has yet to be explored. To address this, we aimed to investigate activated DCs across a range of chronically inflamed human tissues, with a focus on cervical lymph nodes (LNs). We performed scRNAseq and flow cytometry on healthy, acutely, chronically inflamed, and cancer-associated human cervical (LNs) and identified a novel inflammation-associated DC (iaDC) cell state, found only within chronically inflamed LNs. iaDCs were defined by a unique cytokine expression profile (CXCL9, CXCL10, IL1B) and could be phenotypically distinguished from other activated DCs by their elevated expression of CD1C, CD206, CD319, and CD274. Functionally, we found that IFN{gamma} signaling induces DC2s to enter the iaDC cell state and that this process can be abrogated by inhibition of JAK-STAT signaling. Using spatial transcriptomics, we observed LN iaDC residing within a specific chronic inflammatory niche, which was enriched for inflammatory monocytes, NK cells, and effector memory CD4+ and CD8+ T cells. Extrapolating our findings to other chronic inflammation-associated diseases, we similarly observed the emergence of iaDCs within the intestines of treatment-resistant Crohns Disease patients, synovial membranes and lymph nodes of rheumatoid arthritis patients and lungs of sarcoidosis patients. Similarly to the lymph node, iaDCs were found to reside in conserved chronic inflammation-associated spatial niches within the small intestine of affected individuals and displayed equivalent transcriptional characteristics and surrounding cellular neighborhoods. Collectively, these data highlight a previously unexplored role of iaDCs in human chronic inflammatory diseases and propose a conserved spatially restricted iaDC-populated chronic inflammatory niche associated with resistance to therapy. These findings highlight novel avenues to shape inflammatory trajectories by targeting iaDCs and their spatial niches, for example, by inhibiting JAK-STAT signaling.

immunology↗