Biology subjects

Wittwer, M.

Publications and source records attributed to Wittwer, M..

6 recordsLinked to original sources

bioRxiv2026

LuTuFlow: a deep learning-based pipeline for quantitative characterization of mouse lung tumors in CT imaging

Computed tomography (CT) is a widely used, non-invasive imaging tool to monitor tumor growth. Tumor identification and volumetric quantification are crucial for assessing tumor burden, whereas tracking individual tumors by aligning scans from multiple time points reveals disease progression. However, these processes remain largely dependent on manual analysis, limiting the accuracy, reproducibility, objectivity, and scalability of tumor characterization. Several deep learning models have enabled automated segmentation and object identification. However, open-source, integrated software platforms that cover the entire workflow - including processing raw CT images, annotating and tracking tumors through time, and generating data reports and visualizations - are still needed. Here, we present LuTuFlow, a computer vision pipeline incorporating a nnU-Net-based deep learning model, configured for murine lung segmentation and tumor analysis. We integrated these modules into a Napari plugin, allowing researchers to apply the entire automated workflow to transform raw CT scan datasets into quantitative readouts and interactive visualizations in a simple graphical user interface. The resulting model, iteratively refined using expert-corrected annotations, generated reliable quantitative estimates of tumor burden.

cancer biology↗

bioRxiv2026

Lactate epigenetically shapes tumor cell states in H3K27M diffuse midline gliomas

H3K27M diffuse midline gliomas (DMGs) are lethal and lack treatment options. These tumors exhibit tumor heterogeneity with aggressive oligodendrocyte precursor (OPC)- and mesenchymal (MES)-like cell states. Because all tumor cells bear H3K27M, tumor heterogeneity has been attributed to microenvironmental cues that remain obscure. H3K27M DMGs exhibit increased glycolysis and the Warburg effect to produce lactate. Lactate can directly modify histone lysines including H3K27Lac, and we hypothesized that lactate epigenetically regulates tumor cell states in H3K27M DMGs. We undertook a comprehensive and integrated analysis of H3K27M DMG cell lines, animal models, tumor tissues, and magnetic resonance spectroscopy in patients to decipher the epigenetic roles of lactate. Here, we report that H3K27M cells uniquely exhibit elevation of the activating mark H3K27Lac. We observed significant heterogeneity in lactate levels within tumors, and the addition of exogenous lactate resulted in marked increases in H3K27Lac and the expression of critical OPC- and MES- like gene signature genes, which correlates with poorer patient outcomes. Our therapeutic approach leverages the inhibition of CBP/p300, which deposits both H3K27Lac and H3K27ac. Targeting CBP/p300 effectively reduces both H3K27Lac and H3K27ac levels, suppresses key OPC- and MES-like signatures, and shows efficacy in preclinical models. Collectively, our findings identify lactate as a key player in the epigenetic regulation of tumor cell state heterogeneity and suggest that targeting this pathway offers promise for addressing the heterogeneous complexities of H3K27M DMGs.

molecular biology↗

bioRxiv2025

Correlative Ultrastructural Mapping of Lewy Pathology Reveals Regional Diversity in Parkinsons and Dementia with Lewy bodies

Lewy body diseases, including Parkinsons disease (PD) and dementia with Lewy bodies (DLB), are defined by neuronal accumulation of misfolded -synuclein (-Syn), yet the ultrastructural diversity of these inclusions across brain regions and disease contexts remains unclear. Here, we applied large-scale correlative light and electron microscopy (CLEM) to map -Syn pathology across cortical regions (entorhinal cortex, ENT; anterior cingulate cortex, AC; hippocampal CA2 region) and substantia nigra (SN) in clinically and pathologically confirmed PD and DLB donors. We identified pronounced regional heterogeneity in Lewy pathology, with cortical inclusions showing diverse maturation stages at the ultrastructural level, ranging from low-density fibrils interspersed with organelles to highly compact fibrillar inclusions. In the SN of DLB donors, we observed the full range of classical nigral LB morphologies previously described in PD. We additionally characterized diverse neuritic -Syn pathologies in DLB and identified a distinct population of electron-dense, degenerating, -Syn-positive cortical neurons not previously reported. Importantly, we found no significant difference in LB ultrastructure between PD and DLB in either cortical or nigral pathology. In contrast, quantitative analysis of >10,000 mitochondria revealed disease- and region-specific signatures of altered mitochondrial homeostasis. PD showed increased mitochondrial density and enlargement in the SN, whereas DLB showed increased mitochondrial density only in the ENT. Mitochondrial enlargement was exclusive to PD. These findings indicate that LB ultrastructure alone does not distinguish PD from DLB; instead, region-specific mitochondrial phenotypes may better reflect disease identity and regional susceptibility. Overall, we provide a high-resolution framework for human Lewy pathology in PD and DLB, revealing that ultrastructural responses to -Syn pathology are driven primarily by neuronal identity and regional vulnerability. Our results highlight the need for disease- and region-specific models that capture human phenotypes to advance mechanistic understanding and therapeutic targeting of synucleinopathies.

pathology↗

bioRxiv2022

A potent and selective inhibitor for the modulation of MAGL activity in the neurovasculature

Chronic inflammation and blood-brain barrier dysfunction are key pathological hallmarks of neurological disorders such as multiple sclerosis, Alzheimers disease and Parkinsons disease. Major drivers of these pathologies include pro-inflammatory stimuli such as prostaglandins, which are produced in the central nervous system by the oxidation of arachidonic acid in a reaction catalyzed by the cyclooxygenases COX1 and COX2. Monoacylglycerol lipase hydrolyzes the endocannabinoid signaling lipid 2-arachidonyl glycerol, enhancing local pools of arachidonic acid in the brain and leading to cyclooxygenase-mediated prostaglandin production and neuroinflammation. Monoacylglycerol lipase inhibitors were recently shown to act as effective anti-inflammatory modulators, increasing 2-arachidonyl glycerol levels while reducing levels of arachidonic acid and prostaglandins, including PGE2 and PGD2. In this study, we characterized a novel, highly selective, potent and reversible monoacylglycerol lipase inhibitor (MAGLi 432) in a mouse model of lipopolysaccharide-induced blood-brain barrier permeability and in both human and mouse cells of the neurovascular unit: brain microvascular endothelial cells, pericytes and astrocytes. We confirmed the expression of monoacylglycerol lipase in specific neurovascular unit cells in vitro, with pericytes showing the highest expression level and activity. However, MAGLi 432 did not ameliorate lipopolysaccharide-induced blood-brain barrier permeability in vivo or reduce the production of pro-inflammatory cytokines in the brain. Our data confirm monoacylglycerol lipase expression in mouse and human cells of the neurovascular unit and provide the basis for further cell-specific analysis of MAGLi 432 in the context of blood-brain barrier dysfunction caused by inflammatory insults.

neuroscience↗

bioRxiv2020

A comparative 'omics approach to candidate pathogenicity factor discovery in the brain-eating amoeba Naegleria fowleri

Of the 40 described Naegleria species, only N. fowleri can establish infection in humans, killing almost invariably within two weeks. In the brain, the amoeba performs piece-meal ingestion, or trogocytosis, of brain material causing massive inflammation. Conversely, its close relative Naegleria gruberi, which is used as a laboratory model organism, is non-pathogenic. The exact pathogenicity factors distinguishing N. fowleri from its harmless relatives are unclear. We have here taken an -omics approach to understanding N. fowleri biology and infection at the system level. We provide the first analysis of genomic diversity between strains, finding little conservation in synteny but high conservation in protein complement. We also demonstrate that the N. fowleri genome encodes a similarly complete cellular repertoire to that found in N. gruberi. Our comparative genomic analysis, together with a transcriptomic analysis of low versus high pathogenicity N. fowleri cultured in a mouse infection model, allowed us to construct a model of cellular systems involved in pathogenicity and furthermore provides ~500 novel candidate pathogenicity factors in this currently rare but highly fatal pathogen.

microbiology↗

bioRxiv2018

Anoxygenic Photosynthesis and Dark Carbon Metabolism under micro-oxic conditions in the Purple Sulfur Bacterium \"Thiodictyon syntrophicum\" nov. strain Cad16T

1.The microbial ecosystem of the meromictic Lake Cadagno (Ticino, Swiss Alps) has been studied intensively to understand metabolic functions driven by the highly abundant anoxygenic phototrophic sulfur bacteria of the families Chromatiaceae and Chlorobiaceae. It was found that the sequenced isolate \"Thiodictyon syntrophicum\" nov. sp. str. Cad16T, belonging to the Chromatiaceae, may fix 26% of all bulk inorganic carbon in the chemocline at day and night. With this study, we elucidated the mode of dark carbon fixation of str. Cad16T with a combination of long-term monitoring of key physicochemical parameters with CTD, 14C-incorporation experiments and quantitative proteomics of in situ dialysis bag incubations of pure cultures. Regular vertical CTD profiling during the study period in summer 2017 revealed that the chemocline sank from 12 to 14 m which was accompanied by a bloom of cyanobacteria and the subsequent oxygenation of the deeper water column. Sampling was performed both day and night in September. While CO2 assimilation rates were higher during the light period, the relative change in the proteome (663 quantified proteins) was only 1% of all CDS encoded in str. Cad16T. Oxidative respiration was thereby upregulated at light, whereas stress-related mechanisms prevailed during the night. These results indicate that the low light availability due to high cell concentrations and the oxygenation of the chemocline induced a mixotrophic growth in str. Cad16T.\n\nThe complete proteome data have been deposited to the ProteomeXchange with identifier PXD010641.

microbiology↗