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Biology subjects

Ruocco, G.

Publications and source records attributed to Ruocco, G..

17 recordsLinked to original sources

Microsecond molecular dynamics of SOD1 variants suggest a structural basis for divergent ALS clinical outcomes

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterised by progressive motor neuron degeneration. Mutations in the SOD1 gene represent the second most common genetic cause of ALS (ALS), and distinct SOD1 missense variants present with markedly different clinical profiles. A4V leads to an aggressive form of the disease (median survival [~]1y), H46R confers a mild, slowly progressive course and I113T exhibits an intermediate phenotype. The molecular basis by which these mutations produce divergent clinical outcomes remains poorly understood. We performed extensive classical molecular dynamics simulations of wild-type SOD1 and the three ALS-associated variants in the apo monomeric state to attempt to investigate the mechanisms behind such phenotypic differences. Structural stability, global compactness, and conformational flexibility, as well as analysis of collective motions between residues and estimation of free energy, were assessed. The H46R, A4V, and I113T variants exhibited distinct dynamic behaviours, highlighting differences in structural stability, local flexibility, and intramolecular interactions. These findings suggest that specific structural regions may contribute differently to protein dysfunction and could represent key elements for understanding the relationship between molecular dynamic properties and the differing clinical severity associated with these variants. Most strikingly, H46R exhibited exceptional structural stability across every analytical level, the lowest global deviation, most attenuated local flexibility, strongest internal dynamic coordination, and the deepest, most confined free energy basins of any system examined. This convergent multi-layered evidence of structural restraint provides a compelling mechanistic basis for the mild and slowly progressive clinical course of H46R ALS, suggesting that enhanced conformational rigidity, rather than bulk destabilisation, is the defining biophysical feature of this variant, and that its pathogenic mechanism operates through a route fundamentally decoupled from the aggregation-driven toxicity that characterises the more aggressive SOD1-ALS mutations.

genomics↗

α-Synuclein and γ-Tubulin Cooperatively Regulate Activity-Evoked Presynaptic Microtubule Nucleation to Gate Dopamine Release

-Synuclein has long been implicated in the regulation of synaptic activity, but the molecular basis that underlies this function has been elusive. Here, we identify a microtubule (MT)-dependent mechanism through which -synuclein regulates synaptic dopamine release. Using live imaging of cultured dopaminergic neurons, we visualize dynamic MTs at individual presynaptic boutons and show that neuronal activity triggers local {gamma}-tubulin-dependent MT nucleation. We find that this nucleation is essential for interbouton synaptic vesicle (SV) transport and for sustained dopamine release during high activity. We further discover that -synuclein acts as a positive regulator of presynaptic MT nucleation by binding directly to {gamma}-tubulin and the /{beta}-tubulin heterodimer. Activity-evoked phosphorylation of -synuclein at serine 129, a modification that accumulates in synucleinopathies and a molecular switch for -synuclein binding to synaptic proteins, occurs in the region of /m tubulin binding and is both necessary and sufficient for MT initiation. Our findings reveal a previously unrecognized, activity-dependent role for -synuclein in the nucleation of axonal MTs that enables on-demand SV interbouton redistribution and dopamine release. This mechanism provides a novel molecular link between -synuclein phosphorylation and MT-dependent modulation of dopamine release, offering insight into how its dysregulation may contribute to dopaminergic synaptic dysfunction, a central feature of synucleinopathies.

cell biology↗

Missense mutations on SynGAP C2 domain impair membrane diffusion

SYNGAP1 mutations have been linked to a range of neuropathological disorders and, more recently, to the insurgence of cancer. Despite its emerging relevance, the molecular basis of SynGAPs action remains poorly understood. Here, using extensive molecular dynamics simulations integrated with structural analysis, we define how the SynGAP C2 domain associates with lipid bilayers. In particular, we observed spontaneous membrane binding of the domain in two distinct orientations, top and side, defined by the relative positioning of the C2 domain to its fold. These modes display markedly different dynamical properties: the top mode enables faster lateral diffusion on the membrane surface, whereas the side mode establishes more stable but less mobile contacts. Interestingly, pathogenic missense mutations mapping to the membrane-facing loops of SynGAP C2 disrupt these dynamics, leading to reduced diffusivity and altered membrane avidity. Our findings reveal a dual binding mechanism that underlies SynGAPs membrane versatility and offer a general framework for how diverse mutations may perturb SynGAP activity across its polyedric biological functions.

biophysics↗

3D bone printing via primed differentiation of stem cells with ultrasound (3DBonUS)

Bone disorders and skeletal defects represent a significant clinical challenge. Tissue engineering and regenerative medicine (TERM) strategies using 3D bioprinting have emerged as promising alternatives, but still limited by the inability of directing stem cell differentiation in a controlled and reproducible manner. Advancing beyond this, we are proposing 3D bone printing via primed differentiation of stem cells with ultrasound (referred to here as 3DBonUS). This approach synergistically integrates low-intensity pulsed ultrasound (LIPUS) with a microfluidic-assisted 3D bioprinting platform enabling the biophysical stimulation of human bone marrow stromal cells (HBMSCs) during extrusion, promoting osteogenic differentiation without the need for post-fabrication treatments. Moreover, the incorporation of microbubbles enhanced the effects of LIPUS by amplifying mechanical signals at the cellular level. 3DBonUS was found to significantly upregulate key osteogenic markers (RUNX-2, ALP, COL1A1, BMP-2, OCN, OPN) as confirmed by immunofluorescence and RT-qPCR analysis. Furthermore, the LIPUS-treated constructs showed a significant increase in alkaline phosphatase activity and calcium deposition, indicating enhanced mineralisation. The 3DBonUS strategy represents a new modality in skeletal biofabrication, harnessing targeted minimally-invasive mechanical stimulation, with potential for manufacturing scalability and clinical application. Future studies will aim to validate 3DBonUS in vivo to assess the ultimate regenerative potential with enhanced osteogenic properties.

bioengineering↗

Preventing pathogenic dimerization in a misfolded antibody light chain through the design of an inhibitory peptide

Immunoglobulin light chain (AL) amyloidosis is the most common form of systemic amyloidosis. The disease correlates with the formation of insoluble aggregates mostly composed by patient-specific antibody light chains, whose hypervariable regions make each case unique and highlight the need for personalized therapeutics. In this study, we focused on a pathogenic homodimer we previously obtained from a patient-derived light chain. By analyzing the dynamics and the interface of this dimer, we identified a 15-residue peptide with potential inhibitory activity. The peptide was then refined using a computational mutagenesis protocol that iteratively improved its sequence to maximize complementarity with the protein interface, taking into account shape, electrostatics, and hydropathy. The resulting optimized peptide is found to bind the monomer with a binding affinity comparable to that of the full pathogenic interface. These results suggest that the designed peptide could act as an effective antagonist of the pathogenic dimer, and demonstrate that our computational strategy could provide a general framework for designing patient-specific inhibitory peptides against aggregation-prone proteins.

biochemistry↗

Aqueous two-phase bioinks for discrete packing and compartmentalisation of 3D bioprinted cells

The unparalleled ability of aqueous two-phase systems (ATPS) to reproduce microscale cellular and biomaterial compartmentalisation to selectively modulate cell behaviour and functionality is ideal for tissue engineering and regenerative medicine (TERM) purposes. Herein, we introduce new ATPS biomaterial inks for 3D bioprinting of water-in-water (W/W) emulsions, enabling precise cellular crowding for tissue regeneration in vitro and ex vivo. Gelatin methacryloyl (GelMA) was hierarchically dispersed in an alginic acid phase depending on sodium chloride (NaCl) concentration (0-36 g/L). Emulsion droplet size (12.8{+/-}2.6 {micro}m to 52.4{+/-}11.4 {micro}m) influenced degradation and spatial cell localisation (A549, C2C12, MG63). A microfluidic-assisted 3D bioprinting approach allowed fine-tuning of fibre structure adjusting ATPS deposition by modulating flow rates and printing speed. Rheological properties supported the findings of the two-phase partitioning, aiding the selection of the ATPS ink formulation for functional cell-laden construct fabrication. Encapsulation of C2C12 cells revealed enhanced cytoskeletal remodelling at higher salt concentrations. Increased GelMA phase promoted human bone marrow stromal cells (HBMSCs) crowding, mineral deposition and skeletal differentiation. In ovo studies demonstrated degradation control and vascular infiltration via salt modulation. Altogether, ATPS bioinks offer a versatile platform for the assembling of complex, hierarchical tissues with microscale precision, expanding biofabrication strategies for TERM applications.

bioengineering↗

Decoding RNA-RNA Interactions: The Role of Low-Complexity Repeats and a Deep Learning Framework for Sequence-Based Prediction

RNA-RNA interactions (RRIs) are fundamental to gene regulation and RNA processing, yet their molecular determinants remain unclear. In this work, we analyze several large-scale RRI datasets and identify low-complexity repeats (LCRs), including simple tandem repeats, as key drivers of RRIs. Our findings reveal that LCRs enable thermodynamically stable interactions with multiple partners, positioning them as key hubs in RNA-RNA interaction networks. These RRIs appear to be important for several aspects of RNA metabolism. Sequencing-based analysis of the lncRNA Lhx1os interactors validates the importance of LCRs in shaping contacts potentially involved in neuronal development. Recognizing the pivotal role of sequence determinants, we develop RIME, a deep learning model that predicts RRIs by leveraging embeddings from a nucleic acid language model. RIME outperforms traditional thermodynamics-based tools, successfully captures the role of LCRs and prioritizes high-confidence interactions, including those established by lncRNAs. RIME is freely available at https://tools.tartaglialab.com/rna_rna.

biochemistry↗

Engineering a microfluidic-assisted 3D bioprinting approach for the hierarchical control deposition and compartmentalisation of graded bioinks

The advent of 3D bioprinting has revolutionised tissue engineering and regenerative medicine (TERM). Today, tissues of single cell type can be printed with extreme resolution and printing fidelity. However, the ultimate functionality of the desired tissue is limited, due to the absence of a multicellular population and diversity in micro-environment distribution. Currently, 3D bioprinting technologies are facing challenges in delivering multiple cells and biomaterials in a controlled fashion. The use of interchangeable syringe-based systems has often favoured the delamination between interfaces, greatly limiting the fabrication of interconnected tissue constructs. Microfluidic-assisted 3D bioprinting platforms have been found capable of rescuing the fabrication of tissue interfaces, but often fails to guarantee printing fidelity, cell density control and compatimentalisation. Herein, we present the convergence of microfluidic and 3D bioprinting platforms into a new deposition system capable of harnessing a microfluidic printhead for the continuous rapid fabrication of interconnected functional tissues. The use of flow-focusing and passive mixer printhead modules allowed for the rapid and dynamic modulation of fibre diameter and material composition, respectively. Cells were compartmentalised into discrete three-dimensional layers with defined density patterns, confirming the punctual control of the presented microfluidic platform in arranging cells and materials in 3D. In ovo and in vivo studies demonstrated the functionality of 3D bioprinted constructs with patterned vascular endothelial growth factor (VEGF) and transforming growth factor-{beta}1 (TGF-{beta}1), respectively. This, in turn, facilitated the simulation of diverse cellular environments and proliferation pathways within a single construct, which is currently unachievable with conventional 3D bioprinting techniques, offering new opportunities for the fabrication of functionally graded materials and physiologically-relevant skeletal tissue substitutes.

bioengineering↗

Towards universal models for collective interactions in biomolecular condensates

A wide-range of higher-order structures, including dense, liquid-like assemblies, serve as key components of cellular matter. The molecular language of how protein sequences encode the formation and biophysical properties of biomolecular condensates, however, is not completely understood. Recent notion on the scale invariance of the cluster sizes below the critical concentration for phase separation suggests a universal mechanism, which can operate from oligomers to non-stoichiometric assemblies. Here we propose a model for collective interactions in condensates, based on context-dependent, variable interactions. We provide the mathematical formalism, which is capable describing growing dynamic clusters as well as changes in their material properties. Furthermore, we discuss the consequences of the model to maximise sensitivity to the environmental signals and to increase correlation lengths.

systems biology↗

Live-cell imaging of circular and long non-coding RNAs associated to FUS pathological aggregates by Pepper fluorescent RNA

Lately, important advancements in visualizing RNAs in fixed and live cells have been achieved. While mRNA imaging techniques are well-established, the development of effective methods for studying non-coding RNAs (ncRNAs) in living cells are still challenging but necessary, as they cover a variety of function and of intracellular localization, including highly dynamic processes like phase-transition, still poorly studied in vivo. Addressing this issue, we tagged two exemplary ncRNAs with the innovative fluorescent RNA (fRNA) Pepper. Specifically, we show circ-HDGFRP3 interaction with p-bodies, we recapitulate its recruitment in pathological FUS aggregates in a dynamic fashion and we super-resolve its distribution in such aggregates via Structured Illumination Microscopy. Moreover, we tracked the long non-coding RNA (lncRNA) nHOTAIRM1, a motor neurons-specific constituent of stress granules (SG), monitoring its behavior throughout the oxidative-stress response in physiological and pathological conditions. Overall, as fRNAs development advances, our work shows a successful use of Pepper for the monitoring of complex processes, as phase-transition, of paradigmatic molecules like circular RNAs (circRNAs) and lncRNAs with super-resolution potential in living mammalian cells.

molecular biology↗

Chromatin condensates tune nuclear mechano-sensing in Kabuki Syndrome by constraining cGAS activation

Cells and tissue integrity is constantly challenged by the necessity to adapt and respond to mechanical loads. Among the cellular components, the nucleus possesses mechano-sensing and mechanotransduction capabilities, yet the molecular mechanisms involved remain poorly defined. We postulated that the mechanical properties of the chromatin and its compartmentalization into condensates contribute to the nuclear adaptation to external forces, while preserving its integrity. By interrogating the effects of MLL4 loss-of-function in Kabuki Syndrome, we found that the balancing of transcriptional and Polycomb condensates tunes the nuclear responsiveness to external mechanical forces. We showed that MLL4 acts as a chromatin mechano-sensor by clustering into condensates through its Prion-like domain, and its response was regulated by the chromatin context. Furthermore, the mechano-sensing activity of MLL4 condensates is instrumental to withstand the physical challenges that nuclei experience during cell confinement and migration by preserving their integrity. In Kabuki Syndrome persistent rupture of nuclear envelope triggers cGAS-STING activation, which leads to programmed cell death. Ultimately, these results demonstrate the critical role chromatin compartments play in mechano-responses and how they impact pathological conditions by stimulating cGAS-STING signaling.

molecular biology↗

Novel Computational Models of Evoked Dopamine Release In Vivo Measured by Fast Scan Cyclic Voltammetry Quantify the Regulation of Presynaptic Kinetics by Synucleins

Dopamine neurotransmission in the striatum is central to many normal and disease functions. Ventral midbrain dopamine neurons exhibit ongoing tonic firing that produce low extrasynaptic levels of dopamine below the detection of extrasynaptic electrochemical recordings ([~]10 - 20 nanomolar), with superimposed bursts that can saturate the dopamine uptake transporter and produce transient micromolar concentrations. The bursts have previously been shown to lead to presynaptic plasticity via multiple mechanisms, but analysis methods for these kinetic parameters are limited. To provide a deeper understanding of the mechanics of dopamine neurotransmission, we present three computational models of dopamine release with different levels of spatiotemporal complexity to analyze in vivo fast-scan cyclic voltammetry recordings from the dorsal striatum of mice. The models accurately fit to the cyclic voltammetry data and provide estimates of presynaptic dopamine facilitation/depression kinetics and dopamine transporter reuptake kinetics. We use the models to analyze the role of synuclein proteins in neurotransmission and quantify recent findings linking presynaptic protein -synuclein to the short-term facilitation and long-term depression of dopamine release.

neuroscience↗

Reactive microglia and cytokine release entails microtubule remodeling from acentrosomal to centrosomal arrays

Microglia reactivity entails a large-scale remodeling of cellular geometry, but the role of the microtubule cytoskeleton during these changes remains unexplored. Here we show that reactive proinflammatory microglia provide a heretofore unique example of microtubule reorganization from a non-centrosomal array of parallel and stable microtubules to a radial array of more dynamic microtubules. While in the homeostatic state microglia nucleate microtubules at Golgi outposts, proinflammatory signaling induces recruitment of nucleating material nearby the centrosome and inhibition of centrosomal maturation enhances NLRP3 inflammasome activation and secretion of IL-1{beta}. Our results demonstrate that a hallmark of microglia reactivity is a striking remodeling of the microtubule cytoskeleton and suggest that pericentrosomal microtubule nucleation may serve as a distinct marker of microglia activation as well as a novel target to modulate cytokine-mediated inflammatory responses in chronic disease and tissue injury.

cell biology↗

A technique for resolution assessment in blind-SIM experiments

Super resolution techniques are an excellent alternative to wide field microscopy, providing high resolution also in (typically fragile) biological sample. Among the various super resolution techniques, Structured Illumination Microscopy (SIM) improve resolution by employing multiple illumination patterns to be deconvolved with a dedicated software. In the case of blind SIM techniques, unknown patterns, such as speckles, are used, thus providing super resolved images, nearly unaffected by aberrations with a simplified experimental setup. Scattering Assisted Imaging, a special blind SIM technique, exploits an illumination PSF (speckle grains size), smaller than the collection PSF (defined by the collection objectives), to surpass the typical SIM resolution enhancement. However, if SAI is used, it is very difficult to extract the resolution enhancement from a priori considerations. In this paper we propose a protocol and experimental setup for the resolution measurement, demonstrating the resolution enhancement for different collection PSF values.

biophysics↗

Inferring the stabilization effects of SARS-CoV-2 variants on the binding with ACE2 receptor

With the progression of the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) pandemic, several variants of the virus are emerging with mutations distributed all over the viral sequence. While most of them are expected to have little to no effects at the phenotype level, some of these variants presenting specific mutations on the Spike protein are rapidly spreading, making urgent the need of characterizing their effects on phenotype features like contagiousness and antigenicity. With this aim, we performed extensive molecular dynamics simulations on a selected set of possible Spike variants in order to assess the stabilizing effect of particular amino acid substitutions, with a special focus on the mutations that are both characteristic of the top three most worrying variants at the moment, i.e the English, South African and Amazonian ones, and that occur at the molecular interface between SARS-CoV-2 Spike protein and its human ACE2 receptor. We characterize these variants effect in terms of (i) residues mobility, (ii) compactness, studying the network of interactions at the interface, and (iii) variation of shape complementarity via expanding the molecular surfaces in the Zernike basis. Overall, our analyses highlighted greater stability of the three variant complexes with respect to both the wild type and two negative control systems, especially for the English and Amazonian variants. In addition, in the three variants, we investigate the effects a not-yet observed mutation in position 501 could provoke on complex stability. We found that a phenylalanine mutation behaves similarly to the English variant and may cooperate in further increasing the stability of the South African one, hinting at the need for careful surveillance for the emergence of such kind of mutations in the population. Ultimately, we show that the observables we propose describe key features for the stability of the ACE2-spike complex and can help to monitor further possible spike variants.

biophysics↗

Asymmetric Binomial Statistics Explains Organelle Partitioning Variance in Cancer Cell Proliferation

Asymmetric inheritance of organelle and cellular compounds between daughter cells impacts on the phenotypic variability and was found to be a hallmark for differentiation and rejuvenation in stem-like cells as much as a mechanism for enhancing resistance in bacteria populations. Whether the same processes take place in the context of cancer cell lines is still poorly investigated. Here, we present a method that allows the measurement of asymmetric organelle partitioning, and we use it to simultaneously measure the partitioning of three kinds of cellular elements, i.e. cytoplasm, membrane, and mitochondria in a proliferating population of human Jurkat T-cells. For this porpoise, we use multiple live cell markers which permit us both to follow the partitioning process for multiple generations and to investigate the correlations between the partitioning of different cellular constituents. Assuming a minimal model of asymmetric partitioning where cell sub-components are divided according to a biased binomial statistics, we derived exact analytical relationships for the average fluorescence intensity and its fluctuations as a function of the generation, obtaining an excellent agreement with the experimental measurements. We found that although cell cytoplasm is divided symmetrically, mitochondria and membrane lipids are asymmetrically distributed between the two daughter cells and present a stable positive correlation with cytoplasm apportioning, which is incompatible with an independent division mechanism. Therefore, our findings show that asymmetric segregation mechanisms can also arise in cancer cell populations, and that, in this case, membrane lipids and mitochondria do not respectively segregate independently from the cytoplasm. This helps us understand the high phenotypic variability reported in these cancer cell lines. In perspective, this could be particularly relevant in the case of tumor micro-environment diversity, where comprehension of the non-genetic cell heterogeneity could pave the way to novel and more targeted therapies. Moreover, the developed experimental and theoretical apparatus can be easily generalized to different cell kinds and different cell sub-components providing a powerful tool for understanding partitioning-driven heterogeneity.

systems biology↗

In-Silico evidence for two receptors based strategy of SARS-CoV-2

We propose a novel numerical method able to determine efficiently and effectively the relationship of complementarity between portions of protein surfaces. This innovative and general procedure, based on the representation of the molecular iso-electron density surface in terms of 2D Zernike polynomials, allows the rapid and quantitative assessment of the geometrical shape complementarity between interacting proteins, that was unfeasible with previous methods. We first tested the method with a large dataset of known protein complexes obtaining an overall area under the ROC curve of 0.76 in the blind recognition of binding sites and then applied it to investigate the features of the interaction between the Spike protein of SARS-CoV-2 and human cellular receptors. Our results indicate that SARS-CoV-2 uses a dual strategy: its spike protein could also interact with sialic acid receptors of the cells in the upper airways, in addition to the known interaction with Angiotensin-converting enzyme 2.

biophysics↗