Biology subjects

Weiss, S.

Publications and source records attributed to Weiss, S..

At least 19 recordsLinked to original sources

bioRxiv2026

Dose dependent impact of global Cc2d1a reduction on cognitive, social, and metabolic phenotypes

Background Autism spectrum disorder (ASD) and Intellectual disability (ID) share an in-creased male prevalence, but the biological mechanisms underlying this male bias remain poorly understood. Mice deficient for CC2D1A, a protein scaffold mutated in ASD/ID, have shown multiple male-specific deficits both in ASD-like behaviors and in the regulation of neuronal intracellular signaling pathways. However, previous re-search relied on conditional knockout (cKO) models due to early postnatal lethality of global Cc2d1a KO strains. Thus, the ability to define the developmental impacts of CC2D1A LOF in mice has been limited. While generating a Cc2d1a knock-in strain with V5-HA epitope tags, we found that homozygous animals (Cc2d1aVH/VH) resulted in a hypomorph line that can be used to study developmental loss of CC2D1A. Methods We assessed gross morphology, behavior, and intracellular signaling in male and female Cc2d1aVH/VH animals, where only ~20% of CC2D1A is present. We then crossed this line with a null allele to obtain a more severe hypomorph (Cc2d1a-/VH) and explore phenotypic penetrance thresholds. In addition to the previous phenotypic characterization, we also assessed body composition, feeding, and molecular hall-marks of metabolic function in both sexes. Results We found that ~80% CC2D1A reduction in Cc2d1aVH/VH mice did not recapitu-late any of the behavioral or molecular disruptions seen in cKO models. In contrast, ~90% CC2D1A reduction in Cc2d1a-/VH mice resulted in ASD/ID-like behavioral phe-notypes in males, similar to those reported in cKO lines, with distinct intracellular sig-naling disruptions. Male and female Cc2d1a-/VH mice also showed subtle but signifi-cant adult weight deficits associated with distinct metabolic changes. Limitations These models still do not fully recapitulate the complete CC2D1A LOF found in patients. Due to the analysis of two independent strains over multiple metrics, these studies are not powered to compare statistical differences between sexes and data were analyzed in males and females independently. Conclusions We identified a strikingly narrow CC2D1A expression threshold for the emer-gence of ASD/ID-like behavioral deficits in males. In addition, we revealed a novel role for CC2D1A in adult weight gain. These mouse strains will be useful to better under-stand CC2D1A LOF phenotypes.

neuroscience↗

bioRxiv2026

Encephalitic alphavirus infection reduces neurite outgrowth and downregulates Rho GTPase pathways in human iPSC-derived neurospheres

Venezuelan equine encephalitis virus (VEEV) is a re-emerging neurotropic arbovirus, which affects the developing human brain, potentially leading to miscarriage, stillbirth, or long-term neurological sequelae. Currently, the mechanisms underlying these sequelae remain largely elusive. Using human induced pluripotent stem cell (iPSC)-derived neurospheres as a model for brain development, we show that both human neurons and glial cells are susceptible to VEEV infection. Microscopy-based quantification reveals that VEEV impairs neurite outgrowth in the human neurospheres. To mechanistically assess these observations, we performed multi-omics analyses of VEEV-infected neurospheres and demonstrate translational shutoff including downregulation of Rho GTPase pathways. The transcriptional and proteome profile is indicative of reduced actin cytoskeleton dynamics and consequently migratory defects of cells in the neurospheres. Shotgun secretomics moreover revealed downmodulation of neurite outgrowth associated proteins including midkine (MDK), amyloid-beta precursor protein (APP) and microtubule-associated protein 1B (MAP1B). Our findings reveal mechanistic insights into how VEEV infection impairs neuronal development and demonstrate that neurospheres are a powerful platform for assessing teratogenic effects of viruses on brain development.

neuroscience↗

bioRxiv2026

Gβγ dually regulates the M current via increased channel surface expression and PIP2 sensitivity

The M-current, generated by voltage gated KV7.2/7.3 channels, sets the threshold for neuronal action potential and acts as a key brake on repetitive firing. The M-current is tightly regulated by signaling molecules, such as calmodulin and phosphatidylinositol-4,5-bisphosphate (PIP2). Here, we show that coexpression of the ubiquitous subunit dimer of heterotrimeric G-proteins, G{beta}{gamma}, with KV7.2/7.3 in Xenopus laevis oocytes doubles maximal M-current. This regulation requires free, prenylated, membrane-associated G{beta}{gamma} and operates via two distinct mechanisms: 1) increasing plasma membrane (PM) channel density and 2) stabilizing KV7.2/7.3-PIP2 coupling. Conversely, G{beta}{gamma} scavengers reduce basal KV7.2/7.3 current and weaken PIP2 coupling. Proximity ligation assays confirm colocalization of G{beta}{gamma} and KV7.2/7.3 in the PM. Peptide array and AlphaFold modeling identify putative interaction sites on the channel cytoplasmic domain. Finally, the disease-causing G{beta}1 variant I80N abolished G{beta}{gamma}-induced M-current potentiation. Together, these findings establish G{beta}{gamma} as a significant physiological regulator and potential site of vulnerability in neuronal M-current function.

physiology↗

bioRxiv2026

A mouse-adapted Staphylococcus aureus strain enables lifelong neonatal colonization and elicits a Th17-dominated immune response

The opportunistic pathogen Staphylococcus aureus persistently colonizes the anterior nares of up to 20% of the human population, yet there were no persistent mouse colonization models to study host-pathogen interaction. Using the mouse-adapted S. aureus strain JSNZ (CC88-MSSA), we established a neonatal S. aureus colonization model in C57BL/6N mice. Natural neonatal colonization was achieved by vertical transmission in a JSNZ-positive breeding colony. Offspring were followed for up to 69 weeks and found persistently colonized in the nose and cecum with high bacterial loads. Adult mice were colonized by intranasal inoculation of JSNZ; controls received PBS. The colonization patterns and the S. aureus-specific T cell responses were then monitored over a period of 28 days and compared between age-matched mice colonized as neonates or adults. The neonatal group remained persistently colonized in nose and gut with high bacterial densities. In contrast, mice colonized as adults had lower and declining bacterial loads in the nose. Some eliminated S. aureus from the nares, while all remained colonized in the gut. Neonatally colonized mice exhibited reduced nasal chemokine levels, which may have favored the prolonged S. aureus persistence. Ex vivo re-stimulation of cervical lymph node cells with an S. aureus antigen cocktail revealed a Th17-dominated antigen-specific T cell response in both colonized groups. The lymph node cells secreted large amounts of IL-17, but Th1-, Th2-associated and regulatory cytokines were also detected. The cytokine patterns were similar in both colonized groups except for IL-5, which was more abundant upon neonatal colonization. In conclusion, vertical transmission of the mouse-adapted S. aureus strain JSNZ reliably establishes persistent high-density neonatal colonization, providing a physiologically relevant model for the study of S. aureus host interactions. Route and timing of colonization do not fundamentally affect the T cell response to S. aureus.

immunology↗

bioRxiv2026

Co-Expressed MicroRNAs Identify Potential Mechanisms Underlying Risk for Multimorbid Depression and Type 2 Diabetes in Midlife Women

BackgroundWomen are disproportionately affected by multimorbid depression and type 2 diabetes (T2D), with prevalence peaking during midlife (40-64 years), a biologically dynamic timeframe due to changes associated with reproductive aging. Yet, phenotypic and mechanistic factors contributing to midlife womens disproportionate risk for co-occurrence remain poorly defined. We previously identified co-expressed microRNAs (miRs) in midlife women with prediabetes that increased odds of assignment to a high psychometabolic risk phenotype. Here, we extend these findings by characterizing putative mRNA targets of these co-expressed miRs and pathways overrepresented among mRNAs, providing insights into potential mechanisms underlying psychometabolic risk in midlife women. MethodsThis study included baseline data from midlife women (ages 40-64 years) with prediabetes who participated in the Diabetes Prevention Program (DPP) (n = 603). In silico analyses were performed using miRTarBase to identify mRNAs regulated by 3 or more of the miRs that most prominently loaded a principal component previously identified to increase odds of assignment to a high psychometabolic risk phenotype defined in this sample. Pathway enrichment analysis was conducted to assess for overrepresentation of KEGG pathways among predicted mRNA targets. To enhance interpretability, pathways were thematically clustered based on their evidenced role in human physiology. ResultsWe identified a total of 13 mRNAs targeted by co-expressed miRs associated with increased odds of assignment to a high psychometabolic risk phenotype in midlife women with prediabetes. Pathway enrichment analysis revealed a total of 71 KEGG pathways with overrepresentation of identified mRNA targets. Four overarching biological themes emerged, reflecting involvement of metabolic, inflammatory, endocrine, and stress/biological weathering-related processes. ConclusionsExperimentally validated mRNA targets related biological pathways were identified, providing multisystem insights into potential mechanisms underlying risk for multimorbid depression and T2D in midlife women. Findings offer mechanistic targets for experimental validation and future precision health research focused on this high-risk population. Overall, this work positions the utility of miRs as context-sensitive biomarkers in the characterization of risk for complex, multimorbid conditions in women during biologically dynamic timeframes.

genomics↗

bioRxiv2026

Tunable electrostatic interactions of lipid-coated quantum dots with biological membranes

Surface functionalization of inorganic quantum dot nanoparticles is of great interest in the application of these materials toward a wide range of biological applications where membrane interactions are critical. The use of amphiphilic lipids to functionalize the surfaces of quantum dots represents a promising alternative to produce water-soluble and membrane-active materials with facile tuning of the quantum dots surface properties. Here, we demonstrate an experimental approach that yields lipid-coated quantum dots with highly tunable surface charge by controlling the concentration of cationic lipids during preparation. Through fluorescence-activated cell sorting assays, we show that these cationic lipid-coated quantum dots can enhance membrane interactions and increase membrane labeling density in live HEK293 cells. We further employed coarse-grained molecular dynamics simulations to model the lipid self-assembly process using an implicit solvent force field and subsequently model the adsorption of lipid-coated quantum dots to model membranes. Our simulations show that we can control the effective surface charge of lipid-coated quantum dots and influence the strength of adsorption to oppositely charged lipid membranes, a process that is mediated by the release of counterions at the quantum dot-membrane interface. This work supports the future development of biocompatible and water-soluble inorganic nanoparticles with highly tunable surfaces, and provides mechanistic insight into how different lipids can influence nanoparticle-membrane interactions at a molecular scale.

biophysics↗

bioRxiv2026

Machine learning-based Personalized Dietary Recommendations to Achieve Desired Gut Microbial Compositions

Dietary intervention is an effective way to alter the gut microbiome to promote human health. Yet, due to our limited knowledge of diet-microbe interactions and the highly personalized gut microbial compositions, an efficient method to prescribe personalized dietary recommendations to achieve desired gut microbial compositions is still lacking. Here, we propose a machine learning framework to resolve this challenge. Our key idea is to implicitly learn the diet-microbe interactions by training a machine learning model using paired gut microbiome and dietary intake data from a population-level cohort. The well-trained machine learning model enables us to predict the microbial composition of any given species collection and dietary intake. Next, we prescribe personalized dietary recommendations by solving an optimization problem to achieve the desired microbial compositions. We systematically validated this Machine learning-based Personalized Dietary Recommendation (MPDR) framework using synthetic data generated from an established microbial consumer-resource model. We then validated MPDR using real data collected from a diet-microbiome association study. The presented MPDR framework demonstrates the potential of machine learning for personalized nutrition.

bioinformatics↗

bioRxiv2025

Immunoglobulin sub-class levels define inter-donor plasma variability: a longitudinal dual-lab study

Advancements in mass spectrometry have transformed plasma proteomics, allowing for high-throughput analysis of large cohorts. This study utilized the TIMES cohort, consisting of 51 healthy participants monitored monthly over 12 months, to evaluate intra- and inter-individual variability in the plasma proteome. Approximately 600 samples were analyzed in two independent laboratories, revealing strong correlations despite methodological differences. The study focused on the stability of the plasma proteome within donors over a year, with larger differences observed between donors. A support vector machine model achieved a 98% median classification accuracy, confirming stable, donor-specific proteomic profiles. Immunoglobulins, often overlooked in plasma proteomics, were found to contribute significantly to donor-specific signatures, showing pronounced inter-individual variability but remarkable intra-donor stability. In contrast, C-reactive protein and other inflammation markers exhibited significant temporal fluctuations and donor-specific baseline levels. This inter-laboratory study highlights the importance of longitudinal sampling for biomarker discovery, the robustness of MS-based proteomic workflows, and provides new insights into immunoglobulin dynamics and variability in human plasma. Synopsis O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=65 SRC="FIGDIR/small/686385v1_ufig1.gif" ALT="Figure 1"> View larger version (19K): org.highwire.dtl.DTLVardef@1e7b501org.highwire.dtl.DTLVardef@11c85d7org.highwire.dtl.DTLVardef@1971a1dorg.highwire.dtl.DTLVardef@1338061_HPS_FORMAT_FIGEXP M_FIG C_FIG O_LILongitudinal analysis of individual plasma proteomes over a one-year period revealed low intra-individual variability albeit high inter-individual differences. C_LIO_LICross-site laboratory comparisons confirmed strong concordance in analytical performance and measurement consistency. C_LIO_LIConversion of relative protein intensities to absolute concentrations revealed immunoglobulin levels on par with established clinical reference ranges. C_LIO_LIDonors were distinguishable based on their unique plasma proteome. C_LIO_LIThe immunoglobulin sub-classes are key discriminators defining inter- and intra-donor variability C_LI

molecular biology↗

bioRxiv2025

Spontaneous preputial gland adenitis in Staphylococcus aureus-colonized male C57Bl/6 mice triggers a Th17-driven immune response

Colonization with the pathobiont Staphylococcus aureus increases the risk of endogenous S. aureus infections if the balance between host and microbe is disturbed. We developed a model of persistent S. aureus colonization using the mouse-adapted strain JSNZ. The bacteria transfer from parents to offspring, producing lifelong, usually asymptomatic colonization. Here we report that S. aureus-colonized adult male mice frequently develop spontaneous preputial gland infections (preputial gland adenitis, PGA), which are characterized by pronounced pus production and gland enlargement. This study aimed to characterize PGA in terms of phenotype, causative agents, and the pathogen-specific antibody and T cell responses. We compared three groups: naive mice, colonized PGA-negative mice, and colonized PGA-positive mice. PGA occurred in 8/12 (67%) of male breeding animals and in 17/25 (68%) of adult male offspring. The infection did not self-resolve and persisted for several months. Genotyping identified the colonizing strain JSNZ as the causative agent. The infection caused purulent inflammation, with massive bacterial aggregates and neutrophil infiltrates filling the gland lumen. This inflammation completely disrupted the glandular architecture. PGA induced a strong but localized release of IL-1, IL-1{beta}, IL-17, MIP-1, and KC in the infected gland. T cells from PGA-draining lymph nodes, as well as splenocytes, reacted to in vitro re-stimulation with a S. aureus antigen cocktail with the proliferation of Th17 cells, and the release of IL-17 and IFN-{gamma}, corresponding to a type 3/1- immune response. Colonized PGA-positive mice also mounted a robust S. aureus-specific serum antibody response. In conclusion, the pathology of this spontaneous, chronic S. aureus infection is driven by a strong, type 3-biased immune response that, however, fails to clear the bacteria. This endogenous PGA model provides a valuable tool for studying host-pathogen interactions in natural S. aureus infection.

microbiology↗

bioRxiv2025

Distances and charges along the Orai1 nexus-TM3 interface control STIM1-binding and pore opening

Calcium (Ca2+) influx through the Ca2+ release-activated Ca2+ (CRAC) channel is triggered by binding of the Ca2+ sensor Stromal Interaction Molecule 1 (STIM1) to the pore-forming Orai1 complex, primarily to its cytosolic C-termini. These C-termini connect to the transmembrane domain (TM) 4 via the flexible nexus region, proposed to transmit the activation signal from the STIM1-binding site to the central pore via concentrically arranged TM domains. However, the conformational dynamics of the nexus-TM3 interface required for channel gating remain elusive. Here, we investigate its role using unnatural amino acid (UAA)-based photo- and chemical crosslinking at individual positions within the nexus-TM3 interface combined with conventional site-directed mutagenesis. We report that a widening of the nexus-TM3 interface is essential for STIM1-mediated pore opening, while hydrophobicity and contact distances in the upper nexus-TM3 interface fine-tune signal propagation to the pore. These findings underscore the relevance of the nexus-TM3 dynamics for proper Orai1 function.

biophysics↗

bioRxiv2025

Neuronal oversight of germline small RNAs prevents heat-induced sterility in lab-domesticated Caenorhabditis elegans

Thermal pollution, whether local or driven by global warming, threatens biodiversity in part through its detrimental effects on reproduction. Non-coding small RNAs (sRNAs) are crucial for maintaining germline developmental robustness under heat stress. Remarkably, we uncovered that neuronal sRNAs regulate germ cells thermotolerance, affecting both spermatogenic and oogenic germline in a cell non-autonomous manner. Furthermore, we demonstrate that an oxygen-sensing neural circuit antagonizes germline maintenance, likely reflecting the nematodes innate association of reduced oxygen levels with food availability and reproductive permissive environments. Finally, we provide evidence that sRNAs buffer the negative consequences of laboratory domestication, which otherwise cause the laboratory strain to lose germline integrity and become sterile at elevated temperatures. Hence, our findings reveal that mere sensory perception, independent of direct environmental change, modulates germline integrity through sRNA pathways, highlighting a novel mechanism by which neural circuits integrate environmental information to safeguard reproductive fitness in fluctuating environments.

genetics↗

bioRxiv2025

Efficacy of Doxycycline as monotherapy or in combination with Levofloxacin in treating late-stage systemic anthrax in NHP

Bacillus anthracis spores pose a major biosecurity threat, in light of their use in several documented bio-terror attacks and the fact that it was weaponized. The absence of specific and accurate treatment instructions in the 2001 anthrax letter attacks and the poor prognosis of patient receiving noneffective treatment, emphasized the need for reliable guidelines for treating exposed(prophylaxis) or symptomatic populations. The recent 2024 CDC guidelines for treating systemic anthrax recommend a combined treatment of a tetracycline (Minocycline or Doxycycline) with Meropenem or a fluoroquinolone. These recommendations differ from the 2001 or 2015 updates, and in the absence of significant clinical data, rely on animal studies. Previously we demonstrated, based on a rabbit model, that these recommendations are efficient in treating various stages of anthrax, ranging from post exposure prophylaxis, through systemic to involvement of the CNS. Herein we confirm our rabbit results by demonstrating the efficacy of Doxycycline as a monotherapy or in combination with Levofloxacin in treating late-stage systemic anthrax in non-human primates (NHP), in a trigger to treat type of experiment. Our experiments show high efficacy of the mono or combined therapy. Altogether, these results support the CDC guidelines by demonstrating the efficacy of this treatment in a second highly relevant NHP model.

pharmacology and toxicology↗

bioRxiv2025

Single-cell RNA Sequencing Analysis of Sputum Cell Transcriptomes Reveals Pathways and Communication Networks That Contribute to the Pathogenesis of Asthma

BackgroundAsthma is driven by complex interactions amongst structural airway cells, cells of the immune system, and the environmental. While sputum cell characterization has been instrumental in studying asthma pathogenesis and refining treatment strategies, the nuances of cellular transcriptomes and intercellular communication in asthmatic sputum remain poorly understood. MethodsWe employed single-cell RNA sequencing to analyze cells isolated form the sputum from 16 asthma patients and 8 non-asthmatic controls. Cell identities were established using curated marker genes and SingleR annotation. We compared cell-specific gene expression and communication networks between asthmatic and control groups, correlating findings with distinct pathways that were dysregulated in asthma. Findings37,565 cellular transcriptomes were captured and analyzed. 15 distinct cell populations were identified, including various macrophages, monocytes, dendritic cells, and lymphocytes, along with rare cell types such as mast cells, innate lymphoid cells, bronchial epithelial cells, and eosinophils. Intercellular communication analysis indicated heightened signaling activity in asthma compared to controls, particularly in CD4+ T cells and dendritic cells which exhibited the most significant increases in RNA expression of outgoing signaling molecules. Notably, the ADAM12-SDC4 and CCL22-CCR4 ligand-receptor pathways demonstrated the strongest shifts between asthma and control subjects, particularly between dendritic cells and CD4 lymphocytes. InterpretationSC RNA seq profiling the asthma cellular transcriptome analysis of sputum highlights both innate and adaptive immune mechanisms that are significantly amplified in asthma. The elevated expression of ADAM12-SCD4 and CCL22-CC4 point to their critical role in asthma pathogenesis, suggesting potential avenues for targeted therapies and improved management of this chronic condition. Research in contextO_ST_ABSEvidence Before This StudyC_ST_ABSAsthma is a chronic inflammatory disease of the airways driven by intricate interactions between airway structural and immune cells. Previous transcriptomic studies have focused on bulk RNA samples from the airway, leaving significant gaps in our understanding of the cellular dynamics that characterize the disease. Added Value of This StudyThis study pioneers the use of single-cell RNA sequencing on sputum samples from patients with asthma, revealing a detailed landscape of cell phenotypes and dynamic communication patterns that distinguish asthmatic individuals from those without the disease. Notably, heightened intercellular communication was observed in asthma, particularly between CD4+ T cells and dendritic cells, confirming that there is a robust network of interactions between immune and structural cells. The notable increase of ADAM12-CCR4 communication from dendritic cells to other cell populations further emphasizes the dysregulation present in asthma. Implications of All Available EvidenceOur transcriptomic profiling illuminates distinct and amplified communication pathways involving CD4+ T cells and dendritic cells, aligning with established paradigms of both adaptive and innate immune responses in asthma pathogenesis. The identification of ADAM12 and CCR4 pathway dysregulation adds a critical layer to our understanding of the molecular mechanisms underpinning asthma, paving the way for potential therapeutic targets and personalized treatment strategies. Single cell profiling of the sputum has the capacity to characterize the breadth of cellular phenotypes, their functional status, and the communication in the airway at a level not previously attainable.

genomics↗

bioRxiv2024

Closing the gaps: testing the efficacy of carbapenem and cephalosporins in treating late-stage anthrax

Anthrax is a fatal zoonotic disease caused by exposure to Bacillus anthracis spores. Treatment of systemic anthrax is usually efficient when using the right antibiotics as close as possible to exposure, preferably prior to symptoms onset as post exposure prophylaxis (PEP). The efficacy decreases as treatment is initiated later in disease progression. The CDC in its guidelines divides anthrax treatment to three different indications according to the progression of the disease: PEP, systemic and systemic with indications of CNS infection. While the prognosis of PEP or early treatment of systemic anthrax is very good, ingress of the bacteria into the CNS significantly decreases treatment efficacy, creating a substantial clinical challenge. Since anthrax in humans is rare, the CDC recommendations are mainly based on animal model experiments and data obtained from patients infected with other pathogens. Here we use rabbits to test the efficacy of the combined treatment of Meropenem and Doxycycline which is the first choice in the CDC recommendations for treating systemic patients with indication of CNS infection. In addition, we test the efficacy of the first-generation cephalosporin, cefazolin, in treating the different stages of the disease. We found that the combination of Doxycycline and Meropenem is highly effective in treating rabbits in our inhalation and CNS infection models. Cefazoline was efficient only as PEP or systemic stage treatment but not CNS infected animals. Our findings support the CDC recommendation of using a combination of Doxycycline and Meropenem for systemic patients with or without indications for CNS infection. We found that Cefazoline is a decent choice for PEP or early sage systemic disease but recommend considering using this antibiotic only if all other options are not available.

microbiology↗

bioRxiv2024

Scattering-Based Super-Resolution Optical Fluctuation Imaging

Super-resolution optical imaging has become a prominent tool in life and material sciences, allowing one to decipher structures at increasingly greater spatial detail. Among the utilized techniques in this field, super-resolution optical fluctuation imaging (SOFI) has proved to be a valuable approach. A major advantage of SOFI is its less restrictive requirements for generating super-resolved images of neighboring nanostructures or molecules, as it only assumes that the detected fluctuating light from neighboring emitters is statistically uncorrelated, but not necessarily separated in time. While most optical super-resolution microscopies depend on signals obtained from fluorescence, they are limited by photobleaching and phototoxicity. An alternative source for optical signals can be acquired by detecting the light scattered from molecules or nanoparticles. However, the application of coherent scattering-based imaging modalities for super-resolution imaging has been considerably limited compared to fluorescence-based modalities. Here, we develop scattering-based super-resolution optical fluctuation imaging (sSOFI), where we utilize the rotation of anisotropic particles as a source of fluctuating optical signals. We discuss the differences in the application of SOFI algorithms for coherent and incoherent imaging modalities, and utilize interference microscopy to demonstrate super-resolution imaging of rotating nanoparticle dimers. We present a theoretical analysis of the relevant model systems, and discuss the possible effects of cusp artifacts and electrodynamic coupling between nearby nano-scatterers. Finally, we apply sSOFI as a label-free novelty filter that highlights regions with higher activity of biomolecules and demonstrate its use by imaging membrane protrusions of live cells. Overall, the development of optical super-resolution approaches for coherent scattering-based imaging modalities, as described here, could potentially allow for the investigation of biological processes at temporal resolutions and acquisition durations previously inaccessible in fluorescence-based imaging.

biophysics↗

bioRxiv2024

Raffinose induces autophagy to promote plant growth

Plant growth is governed by the integration of environmental cues and nutritional status. Under stress conditions, growth is usually attenuated in favor of stress response, creating a trade-off between growth and stress. Autophagy is a vital process in eukaryotes, maintaining cellular balance by degrading and recycling cellular components. It is triggered by various nutrient-deprivation conditions and both biotic and abiotic stresses in plants. Surprisingly, over-expressing autophagy-related genes across multiple plant species resulted in increased plant size, yield, and stress resistance, posing autophagy as a regulator of the stress-growth balance. Yet, the molecular mechanisms governing its induction remain partially understood. In the current work, we identified raffinose-a plant-derived sugar known for its role in stress responses-as a novel plant autophagy inducer. Raffinose treatment resulted in increased biomass and yield in an autophagy-dependent manner in several plant species. We also show that raffinose activates autophagy through the SnRK1 kinase complex, independent of TOR signaling, and that raffinose treatment results in increased expression of ATG5 and ATG7. We also point to possible downstream candidates operating autophagy-related biomass accumulation. Our findings offer new perspectives on the role of autophagy in maintaining a balance between plant growth and stress responses, underscoring the significance of raffinose in its regulation. SIGNIFICANCE STATEMENTThe intricate balance between plant growth and stress responses is crucial for agricultural productivity, particularly as climate change intensifies environmental stressors such as drought and extreme temperatures. Usually, there is a trade-off between growth and stress response. Autophagy--a cellular recycling process essential for maintaining cellular homeostasis--plays a pivotal role in this balance. Yet, the molecular mechanisms modulating it are partially understood. Raffinose treatment enhances biomass and yields in various plant species by inducing autophagy. By elucidating the molecular mechanisms of raffinose-mediated autophagy induction, our findings provide valuable insights into potential strategies for enhancing plant resilience against climate-induced stress.

plant biology↗

bioRxiv2024

P-BODY AND CYTOSKELETON REMODELING BY ORTHOHANTAVIRUSES.

Orthohantaviruses, are emerging zoonotic pathogens causing life-threatening diseases in humans. The orthohantavirus genome consists of three RNA segment (vRNAs) of negative polarity, which are encapsidated by the viral nucleoprotein (N). To date, the precise subcellular behavior of vRNAs and N has not been fully elucidated. Here, we present a comprehensive analysis of orthohantavirus infections using Fluorescence in situ Hybridization (FISH) and multiple sequential FISH (Mu-Seq FISH), which enables simultaneous detection of viral RNAs, viral mRNAs, N, and cellular factors. Our experiments revealed distinct patterns of viral RNA clustering with varying degrees of N association. Moreover, we found a significant spatial correlation of virus vRNAs and N with cellular processing (P)-bodies, underlining their key role in orthohantavirus replication. Throughout the course of an infection, we observed an increasing dominance of N expression, while concomitantly P-body numbers grew significantly. We also found indications for a preferential 5-end degradation of viral mRNAs in P-bodies. Furthermore, we report that orthohantavirus infection is accompanied by a significant redistribution of cellular components: while filamentous actin and microtubules become enriched in the perinuclear region, P-bodies move to the cell periphery. Finally, co-localization analyses suggest a formation of viral factories containing N, vRNAs, and viral mRNAs, indicating an intricate orthohantavirus assembly hierarchy. AUTHOR SUMMARYIn this study we used advanced imaging techniques to observe the dynamics of viral components and key cellular structures during orthohantavirus infections. Our experiments show that orthohantaviruses cause significant changes within the cell, particularly involving P-bodies and components of the cytoskeleton, such as actin and microtubules. We also provided comprehensive spatiotemporal maps of orthohantaviral components, including visualization of the viral nucleoprotein, genomic RNA and mRNAs. Finally, we found indications for a 5end degradation of virus mRNA in P-bodies, thus adding to our understanding of intracellular host-pathogen crosstalk. In summary, our work highlights the intricate relationship between viruses and host cells, emphasizing the dynamic changes that occur during orthohantaviral infections.

microbiology↗

bioRxiv2024

Towards optical measurements of membrane potential values in Bacillus subtilis using fluorescence lifetime

Membrane potential (MP) changes can provide a simple readout of bacterial functional and metabolic state or stress levels. While several optical methods exist for measuring fast changes in MP in excitable cells, there is a dearth of such methods for absolute and precise measurements of steady-state membrane potentials (MPs) in bacterial cells. Conventional electrode-based methods for the measurement of MP are not suitable for calibrating optical methods in small bacterial cells. While optical measurement based on Nernstian indicators have been successfully used, they do not provide absolute or precise quantification of MP or its changes. We present a novel, calibrated MP recording approach to address this gap. In this study, we used a fluorescence lifetime-based approach to obtain a single-cell resolved distribution of the membrane potential and its changes upon extracellular chemical perturbation in a population of bacterial cells for the first time. Our method is based on (i) a unique VoltageFluor (VF) optical transducer, whose fluorescence lifetime varies as a function of MP via photoinduced electron transfer (PeT) and (ii) a quantitative phasor-FLIM analysis for high-throughput readout. This method allows MP changes to be easily visualized, recorded and quantified. By artificially modulating potassium concentration gradients across the membrane using an ionophore, we have obtained a Bacillus subtilis-specific MP versus VF lifetime calibration and estimated the MP for unperturbed B. subtilis cells to be -65 mV (in MSgg), -127 mV (in M9) and that for chemically depolarized cells as -14 mV (in MSgg). We observed a population level MP heterogeneity of [~]6-10 mV indicating a considerable degree of diversity of physiological and metabolic states among individual cells. Our work paves the way for deeper insights into bacterial electrophysiology and bioelectricity research.

biophysics↗