Biology subjects

Reinhard, S.

Publications and source records attributed to Reinhard, S..

8 recordsLinked to original sources

bioRxiv2026

M-CSF stimulated alveolar macrophages safeguard from invasive aspergillosis

Invasive pulmonary aspergillosis (IPA) is a life-threatening complication in immunocompromised individuals, including recipients of allogeneic hematopoietic cell transplantation (allo-HCT). While systemic neutropenia is traditionally considered the primary risk factor for IPA, we demonstrate that tissue-resident alveolar macrophages (AMs), rather than recruited neutrophils, dictate survival during the critical early window after transplantation. Utilizing an ultra-low dose Aspergillus fumigatus infection model that mimics physiological exposure, we identify alveolar macrophages (AMs) as key players in pulmonary antifungal defense. In immunocompromised mice, AMs conferred protection against lethal invasive aspergillosis by day 6, but not day 4 post-allo-HCT. To enhance AM function at the earlier time point, we tested cytokine-based interventions and show that M-CSF, but not IL-34, which both bind to the CSF-1 receptor, promotes migratory activity, phagolysosomal function and fungal killing in both mouse and human primary tissue-resident AMs. In allo-HCT recipient mice, M-CSF treatment preserved lung tissue integrity, suppressed pro-inflammatory cytokines, and protected mice from lethal invasive aspergillosis. The M-CSF-driven protective effect was abrogated upon AM depletion. Our findings demonstrate a critical role of tissue-resident AMs in pulmonary antifungal immunity and suggest that therapeutic modulation of AM activity via M-CSF may offer a promising strategy to combat severe fungal infections in immunocompromised patients. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=107 SRC="FIGDIR/small/736478v1_ufig1.gif" ALT="Figure 1"> View larger version (51K): org.highwire.dtl.DTLVardef@49ba37org.highwire.dtl.DTLVardef@607c4forg.highwire.dtl.DTLVardef@814894org.highwire.dtl.DTLVardef@1c413c9_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2025

Improving single molecule localisation microscopy reconstruction by extending the temporal context

Single-molecule localization microscopy methods such as dSTORM require specific buffer conditions to enable blinking and detection of individual emitters, making them incompatible with live cell imaging and expansion microscopy. An alternative approach to achieve super-resolution without blinking is to observe the fluctuations of the emitter intensity over time. Existing localization algorithms for high-emitter density make use of radial symmetry or use artificial neural networks trained on single high-density frames to predict emitter positions. Here, we aim to improve the resolution by using a larger temporal context. We combine the U-Net architecture used previously for image reconstruction with multi-head attention used in the Transformer architecture. We compare the results to DECODE and eSRRF as well as to traditional fitting algorithms on public benchmark data. A generic pre-trained model is provided together with a fast and robust simulator for training data and all scripts needed to train custom networks.

biophysics↗

bioRxiv2023

Small fibre neuropathy in Fabry disease: a human-derived neuronal in vitro disease model

Acral burning pain triggered by fever, thermal hyposensitivity, and skin denervation are hallmarks of small fibre neuropathy in Fabry disease, a life-threatening X-linked lysosomal storage disorder. Variants in the gene encoding alpha-galactosidase A may lead to impaired enzyme activity with cellular accumulation of globotriaosylceramide (Gb3). To study the underlying pathomechanism of Fabry-associated small fibre neuropathy, we generated a neuronal in vitro disease model using patient-derived induced pluripotent stem cells from three Fabry patients and one healthy control. We further generated an isogenic control line via CRISPR/Cas9 gene editing. We subjected iPSC to targeted peripheral neuronal differentiation and observed intra-lysosomal Gb3 accumulations in somas and neurites of Fabry sensory neurons using super-resolution microscopy. At functional level, patch-clamp analysis revealed a hyperpolarizing shift of voltage-gated sodium channel steady-state inactivation kinetics in Fabry cell lines as compared to the healthy control. Moreover, we demonstrate a drastic increase in Fabry sensory neuron Ca2+ levels at 39{degrees}C mimicking clinical fever (p < 0.001). This pathophysiological phenotype was accompanied by thinning of neurite calibres in sensory neurons obtained from Fabry patients compared to healthy control cells (p < 0.001). Linear-Nonlinear cascade models fit to spiking responses revealed that Fabry cell lines exhibit altered single neuron encoding properties relative to control. We further observed jam of mitochondrial trafficking at sphingolipid accumulations within Fabry sensory neurites utilizing a click-chemistry approach together with mitochondrial dysmorphism compared to healthy control cells. We pioneer insights into the cellular mechanisms contributing to pain, thermal hyposensitivity, and denervation in Fabry small fibre neuropathy, and pave the way for further mechanistic in vitro studies in Fabry disease and the development of novel treatment approaches.

neuroscience↗

bioRxiv2023

CARs are organized in nanodomains in the plasma membrane of T cells that accumulate at tumor contact sites

Chimeric antigen receptors (CARs) are synthetic immune receptors that are expressed in T cells through genetic engineering. CAR-T cells have been successfully used to eradicate very advanced leukemias and lymphomas and their functional properties have been intensively studied. However, relatively little is known about the spatiotemporal expression and organization of CARs on the T-cell membrane and how this influences their efficacy. Here, we applied super-resolution microscopy to visualize CD19-, ROR1-, and ROR2-specific CARs in human CD4+ and CD8+ T cells that were engineered with lentiviral and transposon-mediated gene transfer. Our data show that the majority of CARs is organized in nanodomains virtually independent of the T cell type, CAR construct and expression level. Quantitative analyses revealed a slightly higher CAR density in transposon-engineered T cells correlating with higher antigen sensitivity and faster resolution of anti-tumor functions compared to lentivirally-engineered T cells. Live-cell fluorescence imaging revealed that both, CAR nanodomains and CAR monomers accumulate at tumor contact sites and form multifocal immunological synapses. Our study provides novel insights into the membrane organization of CARs with single-molecule resolution and illustrates the potential of advanced microscopy to inform the rational design of synthetic immune receptors for applications in immune cell therapy.

immunology↗

bioRxiv2022

ReCSAI Recursive compressed sensing artificial intelligence for confocal lifetime localization microscopy

Localization-based super-resolution microscopy resolves macromolecular structures down to a few nanometers by computationally reconstructing fluorescent emitter coordinates from diffraction-limited spots. The most commonly used algorithms are based on fitting parametric models of the point spread function (PSF) to a measured photon distribution. These algorithms make assumptions about the symmetry of the PSF and thus, do not work well with irregular, non-linear PSFs that occur for example in confocal lifetime imaging, where a laser is scanned across the sample. An alternative method for reconstructing sparse emitter sets from noisy, diffraction-limited images is compressed sensing, but due to its high computational cost it has not yet been widely adopted. Deep neural network fitters have recently emerged as a new competitive method for localization microscopy. They can learn to fit arbitrary PSFs, but require extensive simulated training data and do not generalize well. A method to efficiently fit the irregular PSFs from confocal lifetime localization microscopy combining the advantages of deep learning and compressed sensing would greatly improve the acquisition speed and throughput of this method. Here we introduce ReCSAI, a compressed sensing neural network to reconstruct localizations for confocal dSTORM, together with a simulation tool to generate training data. We implemented and compared different artificial network architectures, aiming to combine the advantages of compressed sensing and deep learning. We found that a U-Net with a recursive structure inspired by iterative compressed sensing showed the best results on realistic simulated datasets with noise, as well as on real experimentally measured confocal lifetime scanning data. Adding a trainable wavelet denoising layer as prior step further improved the reconstruction quality. Our deep learning approach can reach a similar reconstruction accuracy for confocal dSTORM as frame binning with traditional fitting without requiring the acquisiton of multiple frames. In addition, our work offers generic insights on the reconstruction of sparse measurements from noisy experimental data by combining compressed sensing and deep learning. We provide the trained networks, the code for network training and inference as well as the simulation tool as python code and Jupyter notebooks for easy reproducibility.

bioinformatics↗

bioRxiv2021

Dynamic remodeling of ribosomes and endoplasmic reticulum in axon terminals of motoneurons

In neurons, endoplasmic reticulum forms a highly dynamic network that enters axons and presynaptic terminals and plays a central role in Ca2+ homeostasis and synapse maintenance. However, the underlying mechanisms involved in regulation of its dynamic remodeling as well as its function in axon development and presynaptic differentiation remain elusive. Here, we used high resolution microscopy and live cell imaging to investigate rapid movements of endoplasmic reticulum and ribosomes in axons of cultured motoneurons after stimulation with Brain-derived neurotrophic factor. Our results indicate that the endoplasmic reticulum extends into axonal growth cone filopodia where its integrity and dynamic remodeling are regulated mainly by actin and its motor protein myosin VI. Additionally, we found that in axonal growth cones, ribosomes assemble into 80S subunits within seconds and associate with ER in response to extracellular stimuli which describes a novel function of axonal ER in dynamic regulation of local translation. Summary statementIn axonal growth cones of motoneurons, dynamic remodeling of ER is coordinated through drebrin A-mediated actin and microtubule crosstalk and contributes to local translation as response to BDNF stimulation.

neuroscience↗

bioRxiv2020

Molecular resolution imaging by post-labeling expansion single molecule localization microscopy (Ex-SMLM)

Expansion microscopy (ExM) enables super-resolution fluorescence imaging of physically expanded biological samples with conventional microscopes. By combining expansion microscopy (ExM) with single-molecule localization microscopy (SMLM) it is potentially possible to approach the resolution of electron microscopy. However, current attempts to combine both methods remained challenging because of protein and fluorophore loss during digestion or denaturation, gelation, and the incompatibility of expanded polyelectrolyte hydrogels with photoswitching buffers. Here we show that re-embedding of expanded hydrogels enables dSTORM imaging of expanded samples and demonstrate that post-labeling ExM resolves the current limitations of super-resolution microscopy. Using microtubules as a reference structure and centrioles, we demonstrate that post-labeling Ex-SMLM preserves ultrastructural details, improves the labeling efficiency and reduces the positional error arising from linking fluorophores into the gel thus paving the way for super-resolution imaging of immunolabeled endogenous proteins with true molecular resolution.

biophysics↗

bioRxiv2019

Tracking down the molecular architecture of the synaptonemal complex by expansion microscopy

The synaptonemal complex (SC) is a meiosis-specific nuclear multiprotein complex that is essential for proper synapsis, recombination and segregation of homologous chromosomes. We combined structured illumination microscopy (SIM) with different ExM protocols including U-ExM, proExM, and magnified analysis of the proteome (MAP) to investigate the molecular organization of the SC. Comparison with structural data obtained by single-molecule localization microscopy of unexpanded SCs allowed us to investigate ultrastructure preservation of expanded SCs. For image analysis, we developed an automatic image processing software that enabled unbiased expansion factor determination. Here, MAP-SIM provided the best results and enabled reliable three-color super-resolution microscopy of the SCs of a whole set of chromosomes in a spermatocyte with 20-30 nm spatial resolution. Our data demonstrate that post-expansion labeling by MAP-SIM improves immunolabeling efficiency and allowed us thus to unravel previously hidden details of the molecular organization of SCs.

biophysics↗