Biology subjects

Mueller, E.

Publications and source records attributed to Mueller, E..

13 recordsLinked to original sources

bioRxiv2026

Tracing the evolution of microbial alkaline phosphatases and their role in phosphorus recycling through time

Phosphorus (P) recycling in seawater is critical for maintaining nutrient availability and marine primary productivity. This process is catalyzed by alkaline phosphatases enzymes, which hydrolyze dissolved organic phosphorus (DOP) compounds, releasing inorganic P for cellular assimilation. Here, we reconstructed the evolutionary history of three major alkaline phosphatase families through deep time using phylogenetic reconciliation across the tree of life. We further quantified their distribution and cellular localization across major metabolic groups using extant genomes to assess how the oceans capacity for P regeneration has changed through time. Our results demonstrate that alkaline phosphatases emerged early in the Archaean, indicating that DOP has sustained marine ecosystems for most of Earths history. A pronounced expansion and diversification of alkaline phosphatases occurred during the Neoproterozoic, coinciding with the rise and ecological diversification of algae. Across metabolic groups, extracellular alkaline phosphatases are particularly concentrated in ferric iron reducers, fermenters, and aerobic heterotrophs, but are comparatively rare in other metabolisms. This distribution suggests that the efficiency of marine P recycling has been strongly influenced by prevailing metabolic strategies and environmental redox conditions. Overall, our results provide new insights into the enzymatic drivers of marine P cycling and the mechanisms that maintained marine productivity as Earths surface became progressively oxygenated and biologically complex.

microbiology↗

bioRxiv2026

Prolonged TGF-β locks NK cells in a dysfunctional state through persistent epigenetic remodeling of IRF, T-bet and EOMES binding sites

TGF-{beta} signaling is a major regulator of immune cell differentiation and function, yet whether prolonged signaling can durably imprint dysfunctional immune states independently of continued pathway engagement remains unclear. Here, we identify signal duration as a critical determinant of human natural killer (NK) cell fate: short-term TGF-{beta} exposure induces largely reversible transcriptional, chromatin and functional changes, whereas prolonged exposure establishes persistent effector dysfunction independent of continued signaling. Mechanistically, prolonged TGF-{beta} drives durable loss of chromatin accessibility at effector-associated regulatory elements, particularly those enriched for IRF, EOMES, and T-bet binding motifs, resulting in stable restriction of NK cell effector programs despite reversibility of active histone marks. In contrast, tissue residency-associated programs remain largely reversible, revealing that distinct NK cell fate programs differ fundamentally in their susceptibility to epigenetic fixation downstream of the same cytokine signal. SMAD4 CUT&RUN and knockout experiments further demonstrate that canonical TGF-{beta} signaling acts primarily through rewiring of upstream transcriptional regulatory networks rather than direct targeting of effector loci. Finally, NK cells from patients with hepatocellular carcinoma recapitulate key functional and epigenetic features of the persistent TGF-{beta}-associated state defined in vitro. Together, these findings identify signal duration as a critical determinant of TGF-{beta}-driven cell fate and demonstrate that prolonged TGF-{beta} exposure can induce epigenetically stabilized dysfunctional states that persist after signal withdrawal, with important implications for therapeutic strategies aimed at reversing chronic TGF-{beta}-mediated dysfunction.

immunology↗

bioRxiv2026

Label-free detection of individual virus-infected cells using deep learning

Numerous applications in research and medicine rely on reliable identification and quantification of virus-infected cells. Current methods either apply reporter viruses, that often differ from clinical isolates (e. g. cell tropism, immune evasion) or staining approaches, that prevent live-cell experiments and may introduce biases through manual counting. We present a deep learning model for the label-free identification of virus-infected cells on light microscopy images (VAIruScope). To overcome limitations, our pipeline enables an automated quantification of virus-infected cells based on the recognition of cytopathic effects. The method was applied to different cell models and four clinically relevant prototype viruses representing RNA- (influenza A virus), DNA- (human cytomegalovirus, herpes simplex virus-1) and retroviruses (human immunodeficiency virus-1). VAIruScope identified infected cells achieving classification accuracies of up to 96 %. As proof-of-concept, the method was validated using electron microscopy for a wild-type HSV-1. VAIruScope may be applicable to live-cell imaging to investigate infection dynamics.

bioinformatics↗

bioRxiv2025

Shifts in ruminant fermentation during inhibition of methanogenesis are reflected in the isotope compositions of volatile fatty acids.

Ruminant animals are a major source of the potent greenhouse gas methane, but they are also a tractable target for climate solutions. Several strategies have been developed to lower methane emissions from ruminants, including feed additives that inhibit methanogenic archaea. Sustainable solutions must eliminate methane emissions without hampering the microbial fermentation of plant material, which the animal host relies on for carbon and energy. However, current tools cannot directly quantify or characterize the metabolic pathways of in vivo ruminant fermentation. To fill this gap, we developed an electrospray (ESI) Orbitrap mass spectrometry technique to measure the stable isotope ratios (13C /12C and 2H/1H) of volatile fatty acids (VFAs) at their natural isotopic abundances directly from rumen fluid. We tested this technique on in vitro incubations of rumen fluid fed three different substrates with and without the additive Asparagopsis taxiformis. We found that the isotope composition of VFAs changed and reflected a remodeling of microbial fermentation pathways. Specifically, acetates{delta} 13C value increased when methanogens were inhibited, suggesting a lower relative rate of acetate synthesis and a lack of acetogenic activity. Furthermore, the{delta} 2H value of propionate decreased, which may indicate a change in the balance between the two pathways of propionate synthesis toward the less energetic acrylate pathway. Both signals were consistent across feed types. Taken together, our results provide evidence that fermentative metabolism is remodeled during methanogenesis inhibition and decreases relative fluxes through ATP-generating pathways. More broadly, this study demonstrates the utility of ESI-Orbitrap-based isotopic analysis for studying rumen microbial ecology. IMPORTANCESlowing methane production from ruminant animals (e.g. cows) is a major target for mitigation of anthropogenic climate change. While strategies that eliminate microorganisms producing methane have been successful, they have cascading impacts on the microbial ecology of the rumen, possibly affecting animal health and productivity. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=99 SRC="FIGDIR/small/682381v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@1368f20org.highwire.dtl.DTLVardef@ee87baorg.highwire.dtl.DTLVardef@10f714org.highwire.dtl.DTLVardef@1cd4f6a_HPS_FORMAT_FIGEXP M_FIG C_FIG Of particular importance is microbial fermentation, which generates easily digested volatile fatty acids (VFAs) from hard-to-breakdown plant matter. To better understand how fermentation responds to methane mitigation strategies, we measured the isotope composition of VFAs in cow rumen. Our results indicate that fermentation changes pathways when methane production is inhibited to those that generate less energy for the cell. As methane mitigation strategies are developed in the coming decade, isotopic analysis of VFAs may be a useful and accessible contribution to our understanding of rumen microbiology.

microbiology↗

bioRxiv2025

Metabolic controls on the carbon isotope fractionations of bacterial fermentation

Microbial fermentation facilitates the initial breakdown of organic matter into small molecules, and is thought to be the rate-limiting step for mineralization under anoxic conditions. Fermentation is understudied in modern and ancient biogeochemistry due to a lack of environmental biomarkers that would constrain its activity. It has long been assumed that fermentation, like respiration, does not express significant carbon isotope fractionations, precluding isotopic signals as a means of studying it in nature. Here, we tested this idea by growing pure cultures of four fermenting bacteria on glucose and measuring the carbon isotope compositions of the organic acids and alcohols produced. We found that fermentation exhibits a strong carbon isotope fractionation, ranging from -6{per thousand} to +16{per thousand}, depending on the fermentation product. This range can even be observed within a single organism. Using bioisotopic models that track site-specific isotope enrichments through metabolic networks, we constrained the enzymes responsible for these fractionations. Our models reproduced in vivo organic acid{delta} 13C values in all four organisms. These findings demonstrate that acetate 13C-enrichment is likely a consistent signature of fermentation. Furthermore, our study suggests that fermentation imposes an anaerobic trophic carbon isotope fractionation as organic carbon is passed from fermenters to secondary degraders like sulfate reducers. Looking to the geologic past, this trophic fractionation could have imprinted isotopic signals on the three billion year record of sedimentary organic carbon, specifically the inverse{delta} 13C pattern of Precambrian acyclic isoprenoid and n-alkane biomarkers. Pervasive evidence of fermentation in the rock record suggests its under-appreciated role in biogeochemical cycles throughout Earth history. Significance StatementMicroorganisms drive the global cycling of elements like carbon and regulate the Earths climate on both human and geologic timescales. Of particular importance is the microbial breakdown of organic matter, which generates greenhouse gases like methane. Fermenting bacteria play a crucial role in anaerobic carbon degradation. However, they remain largely invisible to our analyses. We explored the natural abundance of carbon stable isotopes in the molecular products of fermentation as a tool to study this metabolism in modern ecosystems and the ancient biosphere. We identified significant isotopic signals in molecules produced by fermenting bacteria and compared them to previously observed isotopic signals in molecular fossils in sedimentary rocks, which may provide evidence of microbial fermentation on the Precambrian Earth.

microbiology↗

bioRxiv2025

Microglial brain-derived neurotrophic factor (BDNF) supports the behavioral and synaptogenic effects of ketamine

Microglia have been implicated in the pathogenesis for several psychiatric disorders, yet comparatively little is known about their role in treatments for these conditions. Prior work showed that the rapid-acting antidepressant ketamine increases synaptic density in the prefrontal cortex (PFC), and that brain-derived neurotrophic factor (BDNF) signaling is required for its synaptic and behavioral effects. These studies assumed that neurons were the primary source of BDNF, but other studies have since demonstrated that microglia can produce BDNF in the brain. Still, it remains unclear if microglial BDNF is important for the antidepressant-like effects of ketamine. Our initial studies show that the behavioral and synaptic effects of ketamine are associated with increased Bdnf expression in sorted PFC microglia 24 hours after injection. We then demonstrate that conditional BDNF depletion in microglia (Cx3cr1Cre/+:Bdnffl/fl) reduces GluN2B levels in PFC synaptoneurosomes and attenuates antidepressant-like responses following ketamine treatment compared to genotype controls (Cx3cr1Cre/+:Bdnf+/+). Consistent with this, we found that Cx3cr1Cre/+:Bdnffl/fl mice show no change in dendritic spine density in the PFC following ketamine. These results indicate that microglial BDNF is important for the effects of ketamine on brain and behavior, expanding upon the role of microglia in pharmacological interventions for psychiatric disorders.

neuroscience↗

bioRxiv2024

Exploring the Abeta Plaque Microenvironment in Alzheimer's Disease Mice by Multimodal Lipid-Protein-Histology Imaging on a Benchtop Mass Spectrometer

Amyloid-{beta} (A{beta}) plaque deposits in the brain are a hallmark of Alzheimers disease (AD) neuropathology. Plaques consist of complex mixtures of peptides like A{beta}1-42, characteristic lipids such as gangliosides, and they are targeted by reactive microglia and astrocytes. In pharmaceutical research and development it is therefore a formidable challenge to contextualize different biomolecular classes and cell types of the A{beta} plaque microenvironment in a coherent experimental workflow on a single tissue section and on a benchtop imaging reader. Here, we developed such a workflow that combines lipid MALDI mass spectrometry imaging using a vacuum-stable matrix with histopathology stains and with MALDI HiPLEX-immunohistochemistry of plaques and multiple protein markers on a bench-top imaging mass spectrometer. The three data layers consisting of lipid, protein markers, and histology can be co-registered and evaluated together. Multimodal data analysis suggests extensive co-localization of A{beta} plaques with the peptide precursor protein, with a defined subset of lipids and with reactive glia cells on a single brain section of APP/PS1 AD model mice. Plaque-associated lipids like ganglioside GM2 and phosphatidylinositol PI38:4 isoforms were readily identified using the tandem MS-capabilities of the mass spectrometer. Taken together, our data suggests that complex pathology involving multiple lipids, proteins and cell types can be interrogated by this spatial multiomics workflow on an easy-to-use benchtop mass spectrometer.

neuroscience↗

bioRxiv2024

Borrelia burgdorferi loses essential genetic elements and cell proliferative potential during stationary phase in culture but not in the tick vector.

The Lyme disease agent Borrelia burgdorferi is a polyploid bacterium with a segmented genome in which both the chromosome and over 20 distinct plasmids are present in multiple copies per cell. This pathogen can survive at least nine months in its tick vector in an apparent dormant state between blood meals, without losing cell proliferative capability when re-exposed to nutrients. Cultivated B. burgdorferi cells grown to stationary phase or resuspended in nutrient-limited media are often used to study the effects of nutrient deprivation. However, a thorough assessment of the spirochetes ability to recover from nutrient depletion has been lacking. Our study shows that starved B. burgdorferi cultures rapidly lose cell proliferative. Loss of genetic elements essential for cell proliferation contributes to the observed proliferative defect in stationary phase. The gradual decline in copies of genetic elements is not perfectly synchronized between chromosomes and plasmids, generating cells that harbor one or more copies of the essential chromosome but lack all copies of one or more non-essential plasmids. This phenomenon likely contributes to the well-documented issue of plasmid loss during in vitro cultivation of B. burgdorferi. In contrast, B. burgdorferi cells from ticks starved for 14 months showed no evidence of reduced cell proliferative ability or plasmid loss. Beyond their practical implications for studying B. burgdorferi, these findings suggest that the midgut of the tick vector offers a unique environment that supports the maintenance of B. burgdorferis segmented genome and cell proliferative potential during periods of tick fasting. ImportanceBorrelia burgdorferi causes Lyme disease, a prevalent tick-borne illness. B. burgdorferi must survive long periods (months to a year) of apparent dormancy in the midgut of the tick vector between blood meals. Resilience to starvation is a common trait among bacteria. However, this study reveals that in laboratory cultures, B. burgdorferi poorly endures starvation and rapidly loses viability. This decline is linked to a gradual loss of genetic elements required for cell proliferation. These results suggest that the persistence of B. burgdorferi in nature is likely shaped more by unique environmental conditions in the midgut of the tick vector than by a general innate ability of this bacterium to endure nutrient deprivation.

microbiology↗

bioRxiv2023

3D-Imaging of synapses in neuronal tissues with synchrotron X-ray ptychography

Maps of dense subcellular features in biological tissue are the key to understanding the structural basis of organ function. Electron microscopy provides the necessary resolution, yet - as electrons penetrate samples for only a few 100s of nm - requires physical sectioning or ablation, which strongly challenges anatomical investigations of entire organs such as mammalian brains. As demonstrated for the engineering and physical sciences, X-ray nanotomography represents a promising alternative for ultrastructural 3d imaging without physical sectioning1-15. Leveraging the high brilliance of 4th generation synchrotron X-ray sources, it has the potential to non-destructively image mm3-sized samples at ultrastructural resolution within a few days16. A fundamental barrier to application to the life sciences is that, when irradiated with high-intensity X-rays, biological samples deform and ultimately disintegrate, prohibiting reaching sufficient resolution. Here, we introduce a combination of engineering solutions which defeat this barrier for X-ray ptychography17, a coherent diffractive X-ray imaging technique. The solutions include a cryogenic sample stage with high stability, high-precision interferometric positioners and tailored non-rigid tomographic reconstruction algorithms18. Furthermore, adapting an epoxy resin developed for the nuclear and aerospace industry, we demonstrate radiation resistance to X-ray doses exceeding 1010 Gy. The resulting sub-40 nm isotropic resolution makes it possible to densely resolve axon bundles, boutons, dendrites and reliably identify synapses without physical sectioning. Moreover, we validated the X-ray technique using the current gold standard, namely focused ion beam scanning electron microscopy (FIB-SEM)19,20 to demonstrate intact ultrastructure in tissue volumes first imaged by X-rays. This unlocks the potential of X-ray tomography for high-resolution tissue imaging, coinciding with the transformative advancements of next-generation synchrotrons worldwide21.

neuroscience↗

bioRxiv2023

Modulating Mesenchymal Stromal Cell Microenvironment Alters Exosome RNA Content and Ligament Healing Capacity

Although mesenchymal stromal cell (MSC) based therapies hold promise in regenerative medicine, their applications in clinical settings remain challenging due to issues such as immunocompatibility and cell stability. MSC-derived exosomes, small vesicles carrying various bioactive molecules, are a promising cell-free therapy to promote tissue regeneration. However, it remains unknown mainly regarding the ability to customize the content of MSC-derived exosomes, how alterations in the MSC microenvironment influence exosome content, and the effects of such modifications on healing efficiency and mechanical properties in tissue regeneration. In this study, we used an in vitro system of human MSC-derived exosomes and an in vivo rat ligament injury model to address these questions. We found a context-dependent correlation between exosomal and parent cell RNA content. Under native conditions, the correlation was moderate but heightened with microenvironmental changes. In vivo rat ligament injury model showed that MSC-derived exosomes increased ligament max load and stiffness. We also found that changes in the MSCs microenvironment significantly influence the mechanical properties driven by exosome treatment. Additionally, a link was identified between altered exosomal microRNA levels and expression changes in microRNA targets in ligaments. These findings elucidate the nuanced interplay between MSCs, their exosomes, and tissue regeneration. Graphic Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=94 SRC="FIGDIR/small/563485v2_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@2b45bborg.highwire.dtl.DTLVardef@ef2222org.highwire.dtl.DTLVardef@1a9f1f1org.highwire.dtl.DTLVardef@4b1ca2_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2022

Robust and easy-to-use one pot workflow for label free single cell proteomics

The analysis of ultra-low input samples or even individual cells is essential to answering a multitude of biomedical questions, but current proteomic workflows are limited in their sensitivity and reproducibility. Here we report a comprehensive workflow that includes optimized strategies for all steps from cell lysis to data analysis. Thanks to convenient to handle 1 L sample volume and standardized 384 well plates the workflow is easy for even novice users to implement. At the same time, it can be performed semi-automatized using the CellenONE(R), which allows for highest reproducibility. To achieve high throughput, ultrashort gradient lengths down to 5 min were tested using advanced -pillar columns. Data-dependent acquisition (DDA), wide-window acquisition (WWA) and data-independent acquisition (DIA), and commonly used advanced data-analysis algorithms were benchmarked. Using DDA, 1790 proteins covering a dynamic range of four orders of magnitude were identified in a single cell. Using DIA, proteome coverage increased to more than 2200 proteins identified from single cell level input in a 20-min active gradient. The workflow enabled differentiation of two cell lines, demonstrating its suitability to cellular heterogeneity determination.

biochemistry↗

bioRxiv2022

Identification of a sensory neuron Cav2.3 inhibitor within a new superfamily of macro-conotoxins

Animal venom peptides represent valuable compounds for biomedical exploration. The venoms of marine cone snails constitute a particularly rich source of peptide toxins, known as conotoxins. Here, we identify the sequence of an unusually large conotoxin, Mu8.1, that defines a new class of conotoxins evolutionarily related to the well-known con-ikot-ikots and two additional conotoxin classes not previously described. The crystal structure of recombinant Mu8.1 displays a saposin-like fold and shows structural similarity with con-ikot-ikot. Functional studies demonstrate that Mu8.1 curtails calcium influx in defined classes of murine somatosensory dorsal root ganglion (DRG) neurons. When tested on a variety of voltage-gated ion channels, Mu8.1 preferentially inhibited the R-type (Cav2.3) calcium channel. Ca2+ signals from Mu8.1-sensitive DRG neurons were also inhibited by SNX-482, a known spider peptide modulator of Cav2.3 and voltage-gated K+ (Kv4) channels. Our findings highlight the potential of Mu8.1 as a molecular tool to identify and study neuronal subclasses expressing Cav2.3. Importantly, this multidisciplinary study demonstrates the feasibility of large, disulfide-rich venom-component investigation, an endeavor that will lead to the discovery of novel structures and functions in the previously underexplored group of macro-conotoxins.

biochemistry↗

bioRxiv2021

Phylodynamic signatures in the emergence of community-associated MRSA

Community-associated, methicillin-resistant Staphylococcus aureus (MRSA) lineages have emerged in many geographically distinct regions around the world during the past 30 years. Here, we apply consistent phylodynamic methods across multiple community-associated MRSA lineages to describe and contrast their patterns of emergence and dissemination. We generated whole genome sequencing data for the Australian sequence type (ST) 93-MRSA-IV from remote communities in Far North Queensland and Papua New Guinea, and the Bengal Bay ST772-MRSA-V clone from metropolitan communities in Pakistan. Increases in the effective reproduction number (Re) and sustained transmission (Re > 1) coincided with spread of progenitor methicillin-susceptible S. aureus (MSSA) in remote northern Australia, dissemination of the ST93-MRSA-IV geno-type into population centers on the Australian East Coast, and sub-sequent importation into the highlands of Papua New Guinea and Far North Queensland. Analysis of a ST772-MRSA-V cluster in Pakistan suggests that sustained transmission in the community following importation of resistant genotypes may be more common than previously thought. Applying the same phylodynamic methods to existing lineage datasets, we identified common signatures of epidemic growth in the emergence and epidemiological trajectory of community-associated S. aureus lineages from America, Asia, Australasia and Europe. Surges in Re were observed at the divergence of antibiotic resistant strains, coinciding with their establishment in regional population centers. Epidemic growth was also observed amongst drug-resistant MSSA clades in Africa and northern Australia. Our data suggest that the emergence of community-associated MRSA and MSSA lineages in the late 20th century was driven by a combination of antibiotic resistant genotypes and host epidemiology, leading to abrupt changes in lineage-wide transmission dynamics and sustained transmission in regional population centers.

evolutionary biology↗