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Zanetti, G.

Publications and source records attributed to Zanetti, G..

15 recordsLinked to original sources

A novel model demonstrating that human immune cells promote multiorgan SARS-CoV-2 dissemination and human T cells limit anti-viral innate immunity

Despite extensive studies, many questions remain regarding the pathology and mechanisms behind Coronavirus disease 2019 (COVID-19), and particularly on post-acute sequelae of COVID-19 (PASC). Because existing mouse models cannot recapitulate human immune responses, we developed a human immune system (HIS) mouse model with physiologic expression of hACE2. After intranasal infection, persistent viral RNA was observed in multiple organs for 8 weeks, despite the generation of human SARS-CoV-2-specific T cell responses. Human immune cells increased viral infection in the lung and non-pulmonary tissues. COVID-19-related pathology was recapitulated in the lungs, with fibrosis peaking at 14 days post-infection. Immune activation was detected in the lungs, hearts, intestines and brains of acutely infected mice and persisted at 8 weeks in the heart and lungs. The presence of human T cells correlated with attenuated innate antiviral transcriptional signatures in the lung, where a persisting cytotoxic mature CD4+ T cell population with JAK-STAT activation was enriched in infected mice. Thus, human T cells mount an antigen-specific but ultimately dysfunctional response, while paradoxically suppressing the innate interferon response, permitting chronic interferon activation and long-term viral persistence, recapitulating several immunologic and histopathologic features associated with PASC. This model will uniquely facilitate understanding of virus-human immune dynamics and therapeutic approaches to PASC.

immunology↗

A universal platform for simultaneous TCRα/β removal enables safer and more potent TCR therapies and autoimmune modeling

Adoptive T-cell therapies using tumour-specific T-cell receptors (TCRs) are limited by competition with endogenous receptors, which impairs efficacy and poses risks of off-target autoreactivity. Here we present a CRISPR-based platform that completely and selectively eliminates both endogenous TCR- and -{beta} chains without affecting introduced transgenic TCRs, irrespective of codon optimization. This approach achieves >90% deletion efficiency in Jurkat and primary human T cells, markedly enhancing the expression, pairing fidelity, and functional potency of transgenic receptors. Using a clinically relevant HLA-A*02:01-restricted DMF5 TCR, we show that dual TCR ablation boosts antigen-specific activation and cytotoxicity in vitro and significantly enhances tumor clearance in vivo in human immune system (HIS) mice, while preventing graft-versus-host disease (GVHD). Targeted locus amplification revealed that CRISPR-induced double-strand breaks did not alter lentiviral integration profiles, confirming genomic safety. Extending this approach to four insulin-reactive TCRs demonstrated that removal of endogenous receptors increased transduction efficiency and functional activity, with one (1E6) showing selective activation and infiltration of stem cell-derived islet grafts (SC-islets) in vivo. This study establishes a universal, safe, and scalable genome-editing platform for generating functionally precise human T cells. By integrating cancer immunotherapy and autoimmune disease modelling within a single framework, it provides a strong preclinical rationale for dual endogenous TCR removal as a route to improved specificity, safety, and therapeutic efficacy in TCR-based cell therapies.

immunology↗

Spatiotemporal multi-omics atlas of the aging neuromuscular junction

The demographic shift toward a global aging population, coupled with rising prevalence of neurodegenerative diseases, poses major public health challenges. Aging is the primary risk factor for most neurodegenerative conditions, making the elucidation of its molecular mechanisms critical for developing effective interventions. Dysfunction of the neuromuscular junction (NMJ), the specialized synapse essential for motor function, is an early hallmark of aging and several neurodegenerative disorders, yet its molecular determinants remain incompletely understood. To shed light on potential common underlying mechanisms, we performed a spatiotemporal multi-omics analysis of the murine NMJ during aging, uncovering several genes showing decoupling between transcript and protein trajectories that may drive the related progressive motor decline. NMJs of soleus (SOL) and extensor digitorum longus (EDL) muscles, differing in fiber composition and vulnerability to aging and disease, displayed distinct spatiotemporal dynamics: fast-twitch EDL, more susceptible to degeneration, exhibited stronger mRNA-protein decoupling than aged slow-twitch SOL or younger SOL and EDL muscles. Elevated expression of miRNAs and RNA-binding proteins in aged EDL highlights the key role of post-transcriptional regulation in NMJ aging. This study provides new insights into the physiopathology of neuromuscular aging and offers a resource for investigating mechanisms shared between aging and neurodegenerative diseases. Additionally, it opens avenues for AI-driven discovery of drug targets and early biomarkers, potentially accelerating the development of therapeutic strategies.

neuroscience↗

Multi-scale Molecular Imaging of Human Cells reveals COPI and COPII Vesicles at ER Exit Sites

Trafficking of secretory proteins from the endoplasmic reticulum (ER) to the Golgi apparatus comprises the first, essential steps toward the appropriate localisation of 30% of eukaryotic proteins. Coat protein complexes COPII and COPI are involved in forward and retrograde transport of cargo and cargo receptors between the ER and the Golgi, respectively. Although COPII forms coated vesicles in vitro, the biogenesis, morphology and organisation of transport carriers in mammalian cells is debated. Here we use in situ cryo-electron tomography and super-resolution fluorescence microscopy to reveal the molecular architecture of ER exit sites in human cells that were not perturbed with drugs, temperature blocks, or overexpression systems. We visualise ribosome-exclusion zones enriched with COPII and COPI-coated vesicles and thus resolve the debate regarding the existence of COPII coated vesicles. COPII vesicles derive from ER membranes, whereas COPI vesicles originate from vesicular-tubular clusters that constitute the ER-Golgi intermediate compartment (ERGIC). We quantify coated vesicle morphology and positioning with respect to other ER exit site components, providing a molecular description of the organisation of the mammalian early secretory pathway.

cell biology↗

Targeting Neuromuscular Junction Regeneration is a Therapeutic Strategy in ALS

Instability and denervation of the neuromuscular junction (NMJ) are early events in Amyotrophic Lateral Sclerosis (ALS), likely reflecting a progressive decline in the regenerative capacity of motor neurons (MNs) and their environment. To investigate this, we evaluated NMJ regeneration throughout disease progression in SOD1G93A mice following reversible axon terminal degeneration induced by -Latrotoxin. In parallel, we monitored the expression of CXCR4, a GPCR upregulated during axonal regeneration, and tested whether its pharmacological activation could mitigate ALS- related functional decline. We found that NMJ regenerative capacity is largely preserved during pre- and early symptomatic stages, and remains active in subsets of NMJs even at later stages. CXCR4 is expressed at axon terminals from early disease stages, declining only at end stage. Its expression is conserved across ALS models, including SOD1G93A pigs, hiPSC-derived MN with ALS mutations, and biopsies from sporadic ALS patients. CXCR4 stimulation improved motor function, NMJ innervation, MN survival, and respiratory performance in ALS mice, and axon outgrowth in iPSC-derived MN. These findings identify the NMJ and CXCR4 as viable therapeutic targets in ALS.

neuroscience↗

Beyond Static Screens: A High-Throughput Pooled Imaging CRISPR Platform for Dynamic Phenotype Discovery

Genetic screens are powerful tools for linking gene perturbations to cellular phenotypes, yet most pooled imaging approaches rely on static endpoint measurements. Here, we extend optical pooled screening to dynamic signaling phenotypes by combining time-lapse Forster resonance energy transfer-fluorescence lifetime imaging microscopy (FRET-FLIM) with optical enrichment and downstream genotyping. To enable high-throughput live-cell screening of dynamic phenotypes, we optimized and benchmarked all major steps in the pipeline. We developed FAST-HIPPOS, a Fiji-based automated analysis pipeline that rapidly segments hundreds of thousands of cells, extracts single-cell lifetime time traces, and identifies phenotypic hits in minutes for targeted photoactivation. We further established a robust phototagging strategy using the photoactivatable dye PA-JaneliaFluor646, providing bright, cloning-free labeling across diverse cell types. Benchmarking further demonstrated high sorting fidelity with low false-positive rates and efficient recovery of guide RNAs from as few as 200 sorted cells with minimal PCR bias. Applying this platform to cAMP signaling in HeLa cells using a custom CRISPR library recovered the expected primary regulators of {beta}-adrenergic signaling--ADRB2, GNAS, and ADCY6--with no gene-level false positives. Together, these optimizations establish a robust general framework for screening dynamic phenotypes that is easily adaptable to other live-cell readouts beyond FRET-FLIM and cAMP.

cell biology↗

Cytosolic Enhanced Dark Epac-Based FRET Sensors for Intracellular cAMP detection in live cells via FLIM

Fluorescence Resonance Energy Transfer (FRET)-based biosensors are powerful tools for studying second messengers with high temporal and spatial resolution. FRET is commonly detected by ratio-imaging, but Fluorescence Lifetime Imaging Microscopy (FLIM), which measures the donor fluorophores lifetime, offers a robust and more quantitative alternative. We have introduced and optimized four generations of FRET sensors for cAMP, based on the effector molecule Epac1, including variants for either ratio-imaging or FLIM detection. Recently, Massengill and colleagues introduced additional mutations that improve cytosolic localization in these sensors, focusing on constructs optimized for ratio-imaging. Here we present and briefly characterize these mutations in our dedicated FLIM sensors, finding they enhance cytosolic localization while maintaining performance comparable to original constructs.

cell biology↗

Cryo-electron tomography reveals how COPII assembles on cargo-containing membranes

Proteins traverse the eukaryotic secretory pathway through membrane trafficking between organelles. The COPII coat mediates the anterograde transport of newly synthesised proteins from the endoplasmic reticulum, engaging cargoes with a wide range of size and biophysical properties. The native architecture of the COPII coat and how cargo might influence COPII carrier morphology remain poorly understood. Here, we have reconstituted COPII-coated membrane carriers using purified S. cerevisiae proteins and cell-derived microsomes as a native membrane source. Using cryo-electron tomography with subtomogram averaging, we demonstrate that the COPII coat binds cargo and forms largely spherical vesicles from native membranes. We reveal the architecture of the inner and outer coat layers and shed light on how spherical carriers are formed. Our results provide insights into the architecture and regulation of the COPII coat and advance our current understanding of how membrane curvature is generated.

biophysics↗

Helical Ordering of Envelope Associated Proteins and Glycoproteins in Respiratory Syncytial Virus Filamentous Virions

Human respiratory syncytial virus (RSV) causes severe respiratory illness in children and the elderly. Treatments for RSV disease are however limited and efforts to produce an effective vaccine have so far been unsuccessful. Understanding RSV virion structure is an important prerequisite for developing interventions to treat or prevent infection but has been challenging because of the fragility of virions propagated in cell culture. Here we show, using cryogenic electron microscopy (cryoEM) and cryogenic electron tomography (cryoET) of RSV particles cultivated directly on transmission electron microscopy (TEM) grids, that there is extensive helical symmetry in RSV filamentous virions. We have calculated a 16 [A] resolution three-dimensional reconstruction of the viral envelope, targeting the matrix protein (M) that forms an endoskeleton below the viral membrane. These data define a helical lattice of M proteins, showing how M is oriented relative to the viral envelope and that helical ordering of viral glycoproteins that stud the viral envelope is coordinated by the M layer. Moreover, the helically ordered viral glycoproteins in RSV filamentous virions cluster in pairs, which may have implications for the conformation of fusion (F) glycoprotein epitopes that are the principal target for vaccine and monoclonal antibody development. We also report the presence, in authentic virus infections, of N-RNA rings packaged within RSV filamentous virions. Overall, the structural data obtained provides molecular insight into the organization of the virion and the mechanism of its assembly.

microbiology↗

Structure of the complete, membrane-assembled COPII coat reveals a complex interaction network.

The COPII coat mediates Endoplasmic Reticulum (ER) to Golgi trafficking for thousands of proteins. Five essential coat proteins assemble at the ER into a characteristic two-layer architecture, which recruits cargo proteins whilst sculpting membrane carriers with diverse morphologies. How coat architecture drives membrane curvature whilst ensuring morphological plasticity is largely unknown, yet is central to understanding mechanisms of carrier formation. Here, we use an established reconstitution system to visualise the complete, membrane-assembled COPII coat with unprecedented detail by cryo-electron tomography and subtomogram averaging. We discover a network of interactions within and between coat layers, including multiple interfaces that were previously unknown. We reveal the physiological importance of these interactions using genetic and biochemical approaches. A newly resolved Sec31 C-terminal domain provides order to the coat and is essential to drive membrane curvature in cells. Moreover, a novel outer coat assembly mode provides a basis for coat adaptability to varying membrane curvatures. Furthermore, a newly resolved region of Sec23, which we term the L-loop, imparts coat stability and in part dictates membrane shape. Our results suggest these interactions collectively contribute to coat organisation and membrane curvature, providing a structural framework to understand regulatory mechanisms of COPII trafficking and secretion.

cell biology↗

A multivalent fuzzy interface drives reversible COPII coat assembly.

Protein secretion is initiated at the endoplasmic reticulum by the COPII coat, which self-assembles to form vesicles. Here, we examine the mechanisms by which the outer scaffolding layer of the coat drives local assembly of a structure rigid enough to enforce membrane curvature, yet able to readily disassemble at the Golgi. An intrinsically disordered region in the outer coat protein, Sec31, drives binding with an inner coat layer via multiple distinct interfaces. Interactions are individually dispensable but combinatorially reinforce each other, suggesting coat oligomerization is driven by the cumulative effects of multivalent interactions. Such a multimodal assembly platform could be readily reversed at the Golgi via perturbation of each individual interface. These design principles provide an explanation for how cells build a powerful yet transient scaffold to direct vesicle traffic.

cell biology↗

Interoperable and scalable metabolomics data analysis with microservices

Developing a robust and performant data analysis workflow that integrates all necessary components whilst still being able to scale over multiple compute nodes is a challenging task. We introduce a generic method based on the microservice architecture, where software tools are encapsulated as Docker containers that can be connected into scientific workflows and executed in parallel using the Kubernetes container orchestrator. The access point is a virtual research environment which can be launched on-demand on cloud resources and desktop computers. IT-expertise requirements on the user side are kept to a minimum, and established workflows can be re-used effortlessly by any novice user. We validate our method in the field of metabolomics on two mass spectrometry studies, one nuclear magnetic resonance spectroscopy study and one fluxomics study, showing that the method scales dynamically with increasing availability of computational resources. We achieved a complete integration of the major software suites resulting in the first turn-key workflow encompassing all steps for mass-spectrometry-based metabolomics including preprocessing, multivariate statistics, and metabolite identification. Microservices is a generic methodology that can serve any scientific discipline and opens up for new types of large-scale integrative science.

bioinformatics↗

OpenEHR modeling for genomics in clinical practice

The increasing usage of high throughput sequencing in personalized medicine brings new challenges to the realm of healthcare informatics. Patient records need to accommodate data of unprecedented size and complexity as well as keep track of their production process. In this work we present a solution for integrating genomic data into electronic health records via openEHR archetypes. We introduce new genomics-specific archetypes based on the popular variant call format and show their applicability to a practical use case. Finally, we discuss their structure in comparison with the HL7(R) FHIR(R) standard.

bioinformatics↗

Kafka interfaces for composable streaming genomics pipelines

Modern sequencing machines produce order of a terabyte of data per day, which need subsequently to go through a complex processing pipeline. The standard workflow begins with a few independent, shared-memory tools, which communicate by means of intermediate files. Given the constant increase of the amount of data produced, this approach is proving more and more unmanageable, due to its lack of robustness and scalability.\n\nIn this work we propose the adoption of stream computing to simplify the genomic pipeline, boost its performance and improve its fault-tolerance. We decompose the first steps of the genomic processing in two distinct and specialized modules (preprocessing and alignment) and we loosely compose them via communication through Kafka streams, in order to allow for easy composability and integration in the already existing Hadoop-based pipelines. The proposed solution is then experimentally validated on real data and shown to scale almost linearly.

bioinformatics↗

wft4galaxy: A Workflow Tester for Galaxy

MotivationWorkflow managers for scientific analysis provide a high-level programming platform facilitating standardization, automation, collaboration and access to sophisticated computing resources. The Galaxy workflow manager provides a prime example of this type of platform. As compositions of simpler tools, workflows effectively comprise specialized computer programs implementing often very complex analysis procedures. To date, no simple way exists to automatically test Galaxy workflows and ensure their correctness has appeared in the literature.\n\nResultsWith wft4galaxy we offer a tool to bring automated testing to Galaxy workflows, making it feasible to bring continuous integration to their development and ensuring that defects are detected promptly. wft4galaxy can be easily installed as a regular Python program or launched directly as a Docker container - the latter reducing installation effort to a minimum.\n\nAvailabilitywft4galaxy is available online at https://github.com/phnmnl/wft4galaxy under the Academic Free License v3.0.\n\nSupplementary informationSupplementary information is available at http://wft4galaxy.readthedocs.io.

bioinformatics↗