Biology subjects

Anselmi, F.

Publications and source records attributed to Anselmi, F..

8 recordsLinked to original sources

bioRxiv2026

Post-Weaning Gut Microbiota Colonization Reveals Divergent Recovery of Skeletal Muscle and Peripheral Nerves

We previously demonstrated that the absence of a complex gut microbiota (CGM) impairs the postnatal development of peripheral nerves and motor targets in germ-free (GF) mice. In this study, we investigated whether establishing a complex gut microbiota after weaning could reverse these developmental alterations. To address this question, GF mice were colonized with a complex gut microbiota by co-housing with conventionally raised mice. Microbiota composition, peripheral nerve morphology and transcriptional profiles, skeletal muscle proteome, neuromuscular junction architecture and circulating metabolites were comprehensively analyzed and compared with those of GF, gnotobiotic OMM12 and CGM mice. Post-weaning colonization partially restored microbial diversity and resulted in a compositionally distinct microbial community with reduced alpha diversity and enrichment of Duncaniella muris strain B8. Despite successful microbial colonization, peripheral nerve abnormalities persisted, including axon hypermyelination, transcriptional alterations in sciatic nerves, elongated nodes of Ranvier, and dysregulated axon-glia interactions. In contrast, skeletal muscle defects were largely rescued, with restoration of muscle mass, normalization of proteomic profiles, recovery of metabolic and structural pathways, and reduced fragmentation of the postsynaptic neuromuscular junction, although presynaptic abnormalities persisted. These findings demonstrate that microbiota-dependent developmental alterations differ markedly in their reversibility across the neuromuscular system. Specifically, post-weaning colonization with a complex gut microbiota resulted in broad recovery of skeletal muscle but failed to rescue peripheral nerve abnormalities. Our findings provide a framework for future studies investigating how the timing of microbial colonization, microbiota composition, and microbiota-derived signals influence the reversibility of microbiota-dependent neuromuscular alterations.

neuroscience↗

bioRxiv2025

Bedaquiline Amplifies Proteasome Inhibitor Efficacy and Overcomes Resistance in Multiple Myeloma

Proteasome inhibitors (PIs) are cornerstone therapies for multiple myeloma (MM), yet resistance remains a major barrier to durable responses. To identify druggable vulnerabilities that enhance PIs efficacy, we performed a small-molecule chemical screen in the presence of carfilzomib (CFZ). We identified bedaquiline (BDQ), an FDA-approved antimycobacterial agent, as a potent synergistic partner. BDQ and its fumarate salt (BDQ-F) significantly amplified CFZ-induced cytotoxicity in PI-sensitive and PI-resistant MM cells, in AL amyloidosis and other B-cell malignancies, with minimal toxicity toward normal cells. Mechanistic studies confirmed that BDQ specifically targets the ATP5F1C subunit of mitochondrial ATP synthase. BDQ-CFZ combination triggered extensive apoptosis, exacerbating proteotoxic stress and proteasome-associated pathways. BDQ specifically enhanced CFZs inhibition of the proteasomes chymotrypsin-like activity. Importantly, BDQ synergized with multiple proteasome and ubiquitin-activating enzyme inhibitors, but not with other standard MM agents, underscoring its selective interaction with the UPS pathway. BDQ-CFZ co-treatment markedly reduced MM cell viability and tumor burden in patient-derived cells and zebrafish xenograft models. These findings support the therapeutic repurposing of BDQ to potentiate PIs efficacy and overcome resistance in MM and related B-cell malignancies. KEY POINTSO_LIBedaquiline synergizes with proteasome inhibitors in MM and other hematologic malignancies, sparing normal cells C_LIO_LIBedaquiline targets ATP synthase {gamma} and boosts carfilzomib by enhancing chymotrypsin-like proteasome inhibition C_LI NOVELTYWe identify the antimicrobial bedaquiline and its fumarate salt as potent enhancers of proteasome inhibitor efficacy in multiple myeloma and other B-cell malignancies. By inhibiting ATP synthase {gamma}, bedaquiline amplifies chymotrypsin-like proteasome inhibition and overcomes drug resistance. This study reveals a mitochondria- proteasome vulnerability and proposes a clinically actionable strategy to restore sensitivity and reduce toxicity of proteasome-based therapies. VISUAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=135 SRC="FIGDIR/small/661768v1_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@339391org.highwire.dtl.DTLVardef@1d3271org.highwire.dtl.DTLVardef@daa0faorg.highwire.dtl.DTLVardef@17eb4eb_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2025

Axially decoupled photo-stimulation and two photon readout (ADePT) for mapping functional connectivity of neural circuits

All-optical in vivo physiology enables three-dimensional interrogation of neural circuits function. Here, we introduce ADePT (Axially-Decoupled Photo-stimulation and Two-photon readout), a strategy that combines flexible optogenetic stimulation with neural activity imaging. ADePT achieves axially contained widefield patterned stimulation by coupling a digital micro-mirror device illuminated by a solid-state laser to a motorized holographic diffuser, while in parallel performing multiphoton imaging across different z-planes. As a proof of principle, we apply ADePT to map excitatory and inhibitory functional connectivity in the mouse early olfactory system. By controlling activity in individual glomeruli on the olfactory bulb surface and recording responses from output mitral and tufted cells in deeper layers, we identify cohorts of sister cells driven by the same parent glomerulus and analyze their distinct connectivity patterns. We further report specificity in the inhibitory circuitry, as we find that GABAergic/dopaminergic (DAT+) interneurons associated with different glomeruli selectively suppress baseline and odor-evoked activity in distinct mitral and tufted cell populations. Together, these results establish ADePT as a platform for high-throughput functional connectivity mapping in optically accessible brain regions.

neuroscience↗

bioRxiv2023

Inference and design of antibody specificity: from experiments to models and back

Exquisite binding specificity is essential for many protein functions but is difficult to engineer. Many biotechnological or biomedical applications require the discrimination of very similar ligands, which poses the challenge of designing protein sequences with highly specific binding profiles. Current methods for generating specific binders rely on in vitro selection experiments, but these have limitations in terms of library size and control over specificity profiles. We present a multi-stage approach that overcomes these limitations by combining high-throughput sequencing of phage display experiments with machine learning and biophysical modeling. Our models predict the binding profiles of antibodies against multiple ligands and generate antibody sequences with desired specificity profiles. The approach involves the identification of different binding modes, each associated with a particular ligand against which the antibodies are either selected or not. We demonstrate that the model successfully disentangles these modes, even when they are associated with chemically very similar ligands. Additionally, we demonstrate and validate experimentally the computational design of antibodies with customized specificity profiles, either with specific high affinity for a particular target ligand, or with cross-specificity for multiple target ligands. Overall, our results showcase the potential of leveraging a biophysical model learned from selections against multiple ligands to design proteins with tailored specificity, with applications to protein engineering extending beyond the design of antibodies.

biophysics↗

bioRxiv2023

FVIII interacts with cell surface to regulate endothelial cell functionality

Haemophilia A (HA) is a rare bleeding disorder caused by factor 8 (F8) mutations. Clinical manifestations are spontaneous bleedings that primarily consist of hemarthrosis and intracranial haemorrhages. To date, the impairment of vessel stability in HA patients and the correlation between FVIII and endothelial functionality is poorly understood. Here we show that FVIII plays a role in endothelial cell functionality. Blood Outgrowth endothelial cells (BOECs) knockout generated by CRISPR/Cas9, HA BOECs and HA iPSCs-derived ECs showed alteration of vessel-formation, endothelial cell migration, and vessel permeability. Importantly, the impaired EC phenotype was rescued by treatment with recombinant human FVIII or by lentiviral vector (LV) expressing FVIII. The FVIII function on endothelium was confirmed in vivo in a mouse model of severe HA which showed that an altered angiogenesis and vesselpermeability could be treated by exogenous FVIII. BOECstranscriptomic profiles revealed that FVIIIregulates the expression of endothelial basement membrane and extracellular matrix genes. Furthermore, exogenous expression of Nidogen2, identified as a FVIII regulated gene, restored the extracellular matrix integrity and EC functionality of HA ECs. In conclusion, FVIII is not only a coagulation factor but also an endothelial cell autocrine factor which promotes vessel stability.

molecular biology↗

bioRxiv2023

A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencing

Single-cell RNA and ATAC sequencing technologies allow one to probe expression and chromatin accessibility states as a proxy for cellular phenotypes at the resolution of individual cells. A key challenge of cancer research is to consistently map such states on genetic clones, within an evolutionary framework. To this end we introduce CONGAS+, a Bayesian model to map single-cell RNA and ATAC profiles generated from independent or multimodal assays on the latent space of copy numbers clones. CONGAS+ can detect tumour subclones associated with aneuploidy by clustering cells with the same ploidy profile. The framework is implemented in a probabilistic language that can scale to analyse thousands of cells thanks to GPU deployment. Our tool exhibits robust performance on simulations and real data, highlighting the advantage of detecting aneuploidy from two distinct molecules as opposed to other single-molecule models, and also leveraging real multi-omic data. In the application to prostate cancer, lymphoma and basal cell carcinoma, CONGAS+ did retrieve complex subclonal architectures while providing a coherent mapping among ATAC and RNA, facilitating the study of genotype-phenotype mapping, and their relation to tumour aneuploidy. Author summaryAneuploidy is a condition caused by copy number alterations (CNAs), which brings cells to acquire or lose chromosomes. In the context of cancer progression and treatment response, aneuploidy is a key factor driving cancer clonal dynamics, and measuring CNAs from modern sequencing assays is therefore important. In this framing, we approach this problem from new single-cell assays that measure both chromatin accessibility and RNA transcripts. We model the relation between single-cell data and CNAs and, thanks to a sophisticated Bayesian model, we are capable of determining tumour clones from clusters of cells with the same copy numbers. Our model works when input cells are sequenced independently for both assays, or even when modern multi-omics protocols are used. By linking aneuploidy to gene expression and chromatin conformation, our new approach provides a novel way to map complex genotypes with phenotype-level information, one of the missing factors to understand the molecular basis of cancer heterogeneity.

bioinformatics↗

bioRxiv2023

Lifelong tissue memory relies on spatially organised dedicated progenitors located distally from the injury

It is believed epithelial cells that have participated in a wound repair elicit a more efficient but locally restricted response to future injuries. However here we show that the cell adaptation resulting from a localised tissue damage has a wide spatial impact at a scale not previously noticed. We demonstrate that away from injured site, after a first injury a specific epithelial stem cell population gives rise to long term wound-memory progenitors residing in their own niche of origin. Notably these progenitors have not taken part in the first wound healing but become pre-activated through priming. This adaptation differs from classical features of trained immunity previously shown to be adopted by other epithelial stem cells. Our newly identified wound-distal memory cells display a cell-autonomous transcriptional pre-activated state leading to an enhanced wound repair ability that can be partially recapitulated through epigenetic perturbation even in absence of an injury. Importantly, the harmful consequences of wound repair, such as exacerbated tumorigenesis, occur within these primed cells and follow their spatial distribution. Overall, we show that sub-organ scale adaptation of an injury relies on spatially organised and memory-dedicated progenitors, characterised by an epigenetic actionable cell state, that predisposes to tumour onset.

cell biology↗

bioRxiv2022

Robust deep learning object recognition models rely on low frequency information in natural images

Machine learning models have difficulty generalizing to data outside of the distribution they were trained on. In particular, vision models are usually vulnerable to adversarial attacks or common corruptions, to which the human visual system is robust. Recent studies have found that regularizing machine learning models to favor brain-like representations can improve model robustness, but it is unclear why. We hypothesize that the increased model robustness is partly due to the low spatial frequency preference inherited from the neural representation. We tested this simple hypothesis with several frequency-oriented analyses, including the design and use of hybrid images to probe model frequency sensitivity directly. We also examined many other publicly available robust models that were trained on adversarial images or with data augmentation, and found that all these robust models showed a greater preference to low spatial frequency information. We show that preprocessing by blurring can serve as a defense mechanism against both adversarial attacks and common corruptions, further confirming our hypothesis and demonstrating the utility of low spatial frequency information in robust object recognition.

neuroscience↗