Biology subjects

Rosato, A.

Publications and source records attributed to Rosato, A..

8 recordsLinked to original sources

bioRxiv2025

Systematic structural and functional analysis of metal-binding sites in native proteomes

Metal-binding proteins (MBPs) are widespread and critical for many biological processes. Proteomics-based approaches have identified MBPs in various systems but typically cannot determine the location of metal-binding sites or shed light on the functional roles of metals. Thus, a systems-wide map of metal binding sites and an understanding of the consequences of metal binding for protein function are still lacking. Here, we used limited proteolysis-coupled mass spectrometry (LiP-MS) combined with chelator treatment to globally map metal-protein interactions and binding sites in native protein lysates. We applied the pipeline, named Metal-LiP, to Escherichia coli, identified 981 peptides on 297 proteins that exhibited dose responsiveness to chelator treatment, and quantified the relative metal-binding affinity. These proteins are strongly enriched for known or predicted MBPs, based on our novel compiled ground truth dataset of previously annotated (n=1013) and predicted (n=850) MBPs. Further, chelator-responsive peptides mapped at or near annotated metal-binding sites in 3D protein structures, showing that Metal-LiP can identify metal-binding sites, and provided novel experimental evidence for previously predicted sites. Notably, Metal-LiP identified 225 novel candidate MBPs and we validated five of these novel MBPs (GatZ, AhpC, GrxB, MsrC, TrhO) using inductively coupled plasma-mass spectrometry to detect metal binding in purified proteins. Finally, we used orthogonal approaches to probe the broad functional consequences of metal binding. Using a combination of Metal-LiP, thermal proteome profiling, size-exclusion chromatography coupled to mass spectrometry, and structural analyses, we identified cases where metal binding affects protein stability, modulates the assembly states of protein complexes, or is likely to affect enzymatic activity. We thereby propose functional roles for metal binding in 98 of our Metal-LiP hits and in 225 proteins in total. In summary, we describe an approach to identify bona fide MBPs with binding site-level resolution across the proteome. We have combined it with other methods to identify 424 candidate MBPs in the E coli proteome, to map known and novel candidate metal-binding sites for 297 of these proteins, and to suggest functional roles of metal binding.

systems biology↗

bioRxiv2025

Engineering human protein switches for functional control of CARs and transcription factors via oral drug administration

While CAR T cells have revolutionized the treatment of certain hematologic malignancies, they can cause severe toxicities, which are expected to be exacerbated with next-generation CAR Ts engineered for improved proliferation, persistence, and efficacy. Therefore, regulatory systems are urgently needed to be able to control these living drugs directly in patients. Here, we engineered a molecular switch, in which the interaction of two human proteins is efficiently induced with the orally available and non-toxic drug A1120. We demonstrate the versatility of this switch by regulating CAR signaling and transcriptional activity in human T cells in vitro and in vivo. Both systems were tightly controlled in the absence of the drug but strongly activated upon administration of the small molecule. Since this switch enables the regulation of diverse systems including CARs and transcription factors, we anticipate that it represents an important step towards next-generation cellular therapies with improved safety and efficacy.

synthetic biology↗

bioRxiv2025

Caffeine-regulated molecular switches for functional control of CAR T cells in vivo

The limited controllability of CAR T cells in patients represents a key challenge of this highly potent immunotherapy. A molecular ON-switch, which can be regulated with a non-toxic and readily available small molecule drug, would represent a major advance towards controllable CAR T therapeutics. For that purpose, we engineered caffeine-responsive heterodimeric ON-switches (CaffSwitches) and demonstrate their high caffeine-dependency and virtually absent leakiness. When incorporating these CaffSwitches into CARs, the resulting CaffCARs were efficiently activated by caffeine concentrations achieved in human plasma after drinking one cup of coffee. Moreover, CaffCAR T cells also showed efficient tumor clearance in an in vivo mouse model, which was completely abolished in the absence of caffeine. This tight control was even observed with c-Jun overexpressing CaffCAR T cells, despite their massive expansion. Together, we anticipate that these novel CaffSwitches will be valuable tools for the development of safe and efficient next generation CAR T cells.

synthetic biology↗

bioRxiv2024

Microbiome Modulation Uncouples Efficacy and Toxicity Induced by Programmed Death-1/Programmed Death-Ligand1 Blockade

While asymptomatic smoldering multiple myeloma (SMM) holds an overall risk of progression to multiple myeloma (MM) at 10% per year, only active surveillance is offered to most patients affected by SMM, which leaves them in anxiety and frustration. Intestinal microbiota and gut-born T helper 17 (Th17) lymphocytes may act as drivers of MM evolution. In transgenic Vk*MYC mice developing de novo MM, which invariably evolves from Early-MM that mimics SMM to full-blown Late-MM, we investigated the impact of gut microbiota modulation on disease progression and susceptibility to immune checkpoint blockade (ICB). We report that administering the human commensal Prevotella melaninogenica to mice affected by Early-MM significantly delayed evolution to Late-MM. Mechanistically, treatment with P. melaninogenica induced increased production of short chain fatty acids. Butyrate prevented skew of dendritic cells towards a pro-Th17 phenotype and treated mice accumulated less disease induced Th17 cells in their bone marrow. P. melaninogenica also synergized with anti-PD-L1 antibodies by restraining Th17 cell expansion while unleashing ICB-induced full effector CD8+ T cells, eventually blocking progression to full-blown disease. Similar results were obtained in mice challenged with bortezomib-resistant Vk*MYC tumor cells, a model of more aggressive MM. When mice were exposed to imiquimod to mimic ICB-associated psoriasis-like lesions, P. melaninogenica ameliorated skin lesions caused by ICB. Thus, modulation of the gut microbiota with P. melaninogenica might represent a treatment for patients affected by SMM and would allow fully exploiting the antitumor potential of ICB in plasma cell dyscrasias. Key pointsAdministration of the human commensal Prevotella melaninogenica to Vk*MYC mice delayed evolution to symptomatic multiple myeloma; P. melaninogenica therapeutically synergized with PD-1/PD-L1 blockade also limiting immune-related adverse events.

immunology↗

bioRxiv2023

Identification of druggable host dependency factors shared by multiple SARS-CoV-2 variants of concern

The high mutation rate of SARS-CoV-2 leads to emergence of several variants, some of which are resistant to vaccines and drugs targeting viral elements. Targeting host dependency factors - cell proteins required for viral replication - would help avoid resistance. However, whether different SARS-CoV-2 variants induce conserved cell responses and exploit the same core host factors is still unclear. We compared three variants of concern and observed that the host transcriptional response was conserved, differing only in kinetics and magnitude. By CRISPR screening we identified the host genes required for infection by each variant: most of the identified genes were shared by multiple variants, both in lung and colon cells. We validated our hits with small molecules and repurposed FDA-approved drugs. All drugs were highly effective against all tested variants, including delta and omicron, new variants that emerged during the study. Mechanistically, we identified ROS production as a pivotal step in early virus propagation. Antioxidant drugs, such as N-acetyl cysteine (NAC), were effective against all variants both in human lung cells, and in a humanised mouse model. Our study supports the use of available antioxidant drugs, such as NAC, as a general and effective anti-COVID-19 approach.

microbiology↗

bioRxiv2020

Carotenogenesis of Staphylococcus aureus: new insights and impact on membrane biophysical properties

Staphyloxanthin (STX) is a saccharolipid derived from a carotenoid in Staphylococcus aureus involved in oxidative-stress tolerance and antimicrobial peptide resistance. In this work, a targeted metabolomics and biophysical study was carried out on native and knock-out S. aureus strains to investigate the biosynthetic pathways of STX and related carotenoids. Identification of 34 metabolites at different growth phases (8, 24 and 48h), reveal shifts of carotenoid populations during progression towards stationary phase. Six of the carotenoids in the STX biosynthetic pathway and three menaquinones (Vitamin K2) were identified in the same chromatogram. Furthermore, other STX homologues with varying acyl chain structures reported herein for the first time, which reveal the extensive enzymatic activity of CrtO/CrtN. Fourier Transform infrared spectroscopy show that STX increases acyl chain order and shifts the cooperative melting of the membrane indicating a more rigid lipid bilayer. This study shows the diversity of carotenoids in S. aureus, and their influence on membrane biophysical properties.

biochemistry↗

bioRxiv2019

A protocol to automatically calculate homo-oligomeric protein structures through the integration of evolutionary constraints and ambiguous contacts derived from solid- or solution-state NMR

Protein assemblies are involved in many important biological processes. Solid-state NMR (SSNMR) spectroscopy is a technique suitable for the structural characterization of samples with high molecular weight and thus can be applied to such assemblies. A significant bottleneck in terms of both effort and time required is the manual identification of unambiguous intermolecular contacts. This is particularly challenging for homo-oligomeric complexes, where simple uniform labeling may not be effective. We tackled this challenge by exploiting coevolution analysis to extract information on homo-oligomeric interfaces from NMR-derived ambiguous contacts. After removing the evolutionary couplings (ECs) that are already satisfied by the 3D structure of the monomer, the predicted ECs are matched with the automatically generated list of experimental contacts. This approach provides a selection of potential interface residues that is used directly in monomer-monomer docking calculations. We validated the protocol on tetrameric L-asparaginase II and dimeric Sod1.

biophysics↗

bioRxiv2018

PhenoMeNal: Processing and analysis of Metabolomics data in the Cloud

BackgroundMetabolomics is the comprehensive study of a multitude of small molecules to gain insight into an organisms metabolism. The research field is dynamic and expanding with applications across biomedical, biotechnological and many other applied biological domains. Its computationally-intensive nature has driven requirements for open data formats, data repositories and data analysis tools. However, the rapid progress has resulted in a mosaic of independent - and sometimes incompatible - analysis methods that are difficult to connect into a useful and complete data analysis solution.\n\nFindingsThe PhenoMeNal (Phenome and Metabolome aNalysis) e-infrastructure provides a complete, workflow-oriented, interoperable metabolomics data analysis solution for a modern infrastructure-as-a-service (IaaS) cloud platform. PhenoMeNal seamlessly integrates a wide array of existing open source tools which are tested and packaged as Docker containers through the projects continuous integration process and deployed based on a kubernetes orchestration framework. It also provides a number of standardized, automated and published analysis workflows in the user interfaces Galaxy, Jupyter, Luigi and Pachyderm.\n\nConclusionsPhenoMeNal constitutes a keystone solution in cloud infrastructures available for metabolomics. It provides scientists with a ready-to-use, workflow-driven, reproducible and shareable data analysis platform harmonizing the software installation and configuration through user-friendly web interfaces. The deployed cloud environments can be dynamically scaled to enable large-scale analyses which are interfaced through standard data formats, versioned, and have been tested for reproducibility and interoperability. The flexible implementation of PhenoMeNal allows easy adaptation of the infrastructure to other application areas and omics research domains.

bioinformatics↗