Biology subjects

Salladini, E.

Publications and source records attributed to Salladini, E..

5 recordsLinked to original sources

bioRxiv2025

Characterization of Mycobacterium tuberculosis rhodanese-like sulfurtransferase SseA and its newly identified activator Rv3284: A new pathway to exploit as a drug target?

Tuberculosis (TB) remains a critical global health challenge, with Mycobacterium tuberculosis (Mtb) causing 10.8 million cases and 1.25 million deaths in 2023. Key issues include the dormant state of Mtb, resistant to drugs and immune responses, and the emergence of multi-drug-resistant strains. This underscores the need for new therapeutic targets and deeper research into Mtb pathogenesis and immunology. A potential drug target is the enzyme thiosulfate-sulfurtransferase SseA, which plays a role in macrophage infection by Mtb and its resistance to oxidative stress. SseA belongs to the rhodanese-like enzyme family, which catalyzes sulfur transfer reactions essential for Mtb survival. In our research, we identified a new protein (Rv3284), hereinafter referred to as SufEMtb due to its high homology with E. coli SufE, that interacts with SseA and modulates its activity. Sequence analysis and AI molecular modelling revealed detailed insights into their interaction that can contribute to the modulation of SseA activity. This research provides a mechanistic explanation to the need of a partner for SseA activation. Indeed, we propose that SufEMtb enhances SseA enzymatic function by binding to its non-catalytic N-terminal domain and bringing the active sites of the two proteins in close proximity, thus preparing for the activation-enhancing conformational change in a regulatory loop of SseA. This interaction is crucial for the effective enzyme activity and the maintenance of redox homeostasis in Mtb, making the SseA-SufEMtb protein complex a potential target for new TB therapies.

biochemistry↗

bioRxiv2024

Corylus avellana non-specific lipid-transfer protein Cor a 8 is a moonlighting enzyme with a new lipase activity

The high-fat content of hazelnuts, mainly triglycerides, makes them prone to lipid oxidation during storage, which has a big impact on their sensory and nutritional quality. The chemical pathways leading to hazelnut oxidative rancidity have been well characterized and it are faster on free fatty acids. Lipase(s) enzymes are required, in oilseed, to hydrolyze the ester bond to free the single molecule of fatty acids. This step, necessary for germination, is the first event to trigger rancidity. Identifying the lipase(s) enzyme and the biochemical pathways involved in rancidity would lead to an effective strategy to prevent fat deterioration. Different proteins have been characterized in hazelnut seed and great interest has been risen towards the non-specific lipid transfer protein family because they were identified as human allergens. Here we show that Cor a 8 - a member of nsLTP - is a novel non-regiospecific lipase that is able to bind to oil-water interfaces and hydrolyze the triacylglycerol (TAGs) ester bonds by a non-canonical active site (non-serine dependent). Molecular modelling and molecular dynamics suggest that Cor a 8 is a moonlighting enzyme not only able to catalyze the hydrolysis of TAGs but also to stabilize the resulting free fatty acids and transport it. Cor a 8 homologues are present in all land plants, but the specific catalytic amino acids are found only in angiosperms, suggesting an evolutionary adaptation for lipid metabolism unique to flowering plants. This study sets the foundation for understanding this new lipid metabolism in plants and its role in rancidity development.

biochemistry↗

bioRxiv2022

3D-Beacons: Decreasing the gap between protein sequences and structures through a federated network of protein structure data resources

While scientists can often infer the biological function of proteins from their 3-dimensional quaternary structures, the gap between the number of known protein sequences and their experimentally determined structures keeps increasing. A potential solution to this problem is presented by ever more sophisticated computational protein modelling approaches. While often powerful on their own, most methods have strengths and weaknesses. Therefore, it benefits researchers to examine models from various model providers and perform comparative analysis to identify what models can best address their specific use cases. To make data from a large array of model providers more easily accessible to the broader scientific community, we established 3D-Beacons, a collaborative initiative to create a federated network with unified data access mechanisms. The 3D-Beacons Network allows researchers to collate coordinate files and metadata for experimentally determined and theoretical protein models from state-of-the-art and specialist model providers and also from the Protein Data Bank.

bioinformatics↗

bioRxiv2022

MIADE metadata guidelines: Minimum Information About a Disorder Experiment

An unambiguous description of an experimental setup and analysis, and the subsequent biological observation is vital for accurate data interpretation and reproducible results. Consequently, experimental analyses should be described in a concise, unequivocal, and digestible manner. The aim of minimum information guidelines is to define the fundamental complement of data that can support an unambiguous conclusion on experimental observations. In this document, we present the Minimum Information About Disorder Experiments (MIADE) guidelines to define the minimal fundamental parameters required for non-experts to understand the key findings of an experiment studying intrinsically disordered proteins (IDPs) or intrinsically disordered protein regions (IDRs). MIADE guidelines provide recommendations for data producers to describe the results of their experiments at source, for curators to annotate experimental data to community resources and for database developers maintaining community resources to disseminate the data. We give examples of the application of these guidelines in common use cases and describe the implementation of an update to the DisProt IDP database to allow MIADE-compliant annotation. The MIADE guidelines will improve the interpretability of experimental results for data consumers, facilitate direct data submission, simplify data curation, improve data exchange among repositories and standardise the dissemination of the key metadata on an IDP experiment by IDP data sources.

scientific communication and education↗

bioRxiv2018

Phase transition and amyloid formation by a viral protein as an additional molecular mechanism of virus-induced cell toxicity

Henipaviruses are severe human pathogens responsible for severe encephalitis. Their V protein is a key player in the evasion of the host innate immune response. We have previously reported a biophysical characterization of the Henipavirus V proteins and shown that they interact with DDB1, a cellular protein that is a component of the ubiquitin ligase E3 complex. Here, we serendipitously discovered that the Hendra virus V protein undergoes a liquidhydrogel phase transition. By combining experimental and bioinformatics approaches, we have identified the V region responsible for this phenomenon. This region (referred to as PNT3), which falls within the long intrinsically disordered region of V, was further investigated using a combination of biophysical and structural approaches. ThioflavinT and Congo red binding assays, together with negative-staining electron microscopy studies, show that this region forms amyloid-like, {beta}-enriched structures. Such structures are also formed in mammal cells transfected to express PNT3. Those cells also exhibit a reduced viability in the presence of a stress agent. Interestingly, mammal cells expressing a rationally designed, non-amyloidogenic PNT3 variant (PNT33A), appear to be much less sensitive to the stress agent, thus enabling the establishment of a link between fibril formation and cell toxicity. The present findings therefore pinpoint a so far never reported possible mechanism of virus-induced cell toxicity.

biophysics↗