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Biology subjects

Abriata, L.

Publications and source records attributed to Abriata, L..

11 recordsLinked to original sources

De novo design of light-regulated dynamic proteins using deep learning

Recent advances in deep learning have enabled accurate design of static protein structures, but the de novo design of protein functions controlled by programmable, intramolecular conformational changes remains an unsolved challenge. Here, we present a general deep learning-guided framework for designing dynamic, multi-domain proteins allosterically regulated by light. By integrating photoresponsive domains into de novo scaffolds, we engineered conformational switches that exhibit precise, reversible structural transitions upon illumination. Structural, spectroscopic, and functional analyses validated our designs and demonstrated precise spatio-temporal optogenetic control of diverse cellular processes, including subcellular localization, intercellular signaling, and population-level behaviors. This work establishes a broadly applicable strategy for encoding long-range allosteric control through designed intramolecular motions, and opens new avenues for programming dynamic protein functions from first principles, with implications for basic research, synthetic biology, and therapeutic development.

biophysics↗

Sub-Nanomolar Detection and Discrimination of Microcystin Congeners Using Aerolysin Nanopores

Climate-driven disruptions in aquatic ecosystems are amplifying cyanotoxin production, threatening drinking and recreational water safety. Monitoring of these toxins is challenged by requirements of the low {micro}g/L detections limits and structural diversity. Here, we employ aerolysin nanopores to distinguish seven of the most prevalent microcystin congeners, both individually and in mixtures, at environmentally relevant concentrations. Importantly, we showed that aerolysin enables the detection of microcystins in different lake water samples at concentrations below the World Health Organizations intervention thresholds, reaching picomolar sensitivity. Moreover, combining experiments and molecular dynamics simulations, we further investigated the microcystin sensing mechanism, suggesting that the ionic current blockage is primarily governed by K238 in aerolysin, while dwell time is regulated by R220 constriction site. Our results open the way to use the nanopore sensing technology for real-time monitoring of microcystins in drinking water sources and surface waters.

bioengineering↗

Aerolysin nanopore structure revealed at high resolution in lipid environment

Aerolysin is a {beta}-pore-forming toxin produced by most Aeromonas bacteria which has attracted large attention in the field of nanopore sensing due to its narrow and charged pore lumen. Structurally similar proteins, belonging to the aerolysin-like family, are present throughout all kingdoms of life, but very few of them have been structurally characterized in a lipid environment. Here we present the first high-resolution atomic cryo-EM structures of aerolysin pre-pore and pore in a membrane-like environment. These structures allow the identification of key interactions, which are relevant for the pore formation and for positioning the pore barrel into the membrane with the anchoring {beta}-turn motif now finally observed. Moreover, we elucidate at high resolution the architecture of key mutations and precisely identify four constriction rings in the pore lumen that are highly relevant for nanopore sensing experiments.

biochemistry↗

Cardiolipin clustering promotes mitochondrial membrane dynamics

Cardiolipin (CL) is a mitochondria-specific phospholipid that forms heterotypic interactions with membrane-shaping proteins and regulates the dynamic remodeling and function of mitochondria. However, the precise mechanisms through which CL influences mitochondrial morphology are not well understood. In this study, employing molecular dynamics (MD) simulations, we determined that CL molecules extensively engage with the paddle domain (PD) of mitochondrial fusion protein Optic Atrophy 1 (OPA1), which controls membrane-shaping mechanisms. Structure-function analysis confirmed the interactions between CL and two conserved motifs of OPA1 at the membrane-binding sites. We further developed a bromine-labeled CL probe to enhance cryoEM contrast and characterized the structure of OPA1 assemblies bound to the CL-brominated lipid bilayers. Our images provide direct evidence of CL enrichment within the OPA1-binding leaflet. Last, we observed a decrease in membrane remodeling activity for OPA1 in lipid compositions with increasing concentrations of monolyso-cardiolipin (MLCL). This suggests that the partial replacement of CL by MLCL, as observed in Barth syndrome-associated mutations of the tafazzin phospholipid transacylase, alters the malleability of the membrane and compromises proper remodeling. Together, these data provide insights into how biological membranes regulate the mechanisms governing mitochondrial homeostasis.

biophysics↗

Context-aware geometric deep learning for protein sequence design

Protein design and engineering are evolving at an unprecedented pace leveraging the advances of deep learning. Current models nonetheless cannot natively consider non-protein entities within the design process. Here we introduce a deep learning approach based solely on a geometric transformer of atomic coordinates that predicts protein sequences from backbone scaffolds aware of the restraints imposed by diverse molecular environments. This new concept is anticipated to improve the design versatility for engineering proteins with desired functions.

biochemistry↗

A highly stable Zn(II) dependent phospholipase C obtained by consensus design

Proteins extraordinary performance in recognition and catalysis have led their use in a range of applications. But proteins obtained from natural sources are oftentimes not suitable for direct use in industrial or diagnostic setups. Natural proteins, evolved to optimally perform a task in physiological conditions, usually lack the stability required to be used in harsher conditions. Therefore, the alteration of the stability of proteins is commonly pursued in protein engineering studies. Here we achieved a substantial thermal stabilization of a bacterial Zn(II) dependent phospholipase C by consensus sequence design. We retrieved and analyzed sequenced homologs from different sources, selecting a subset of examples for expression and characterization. A non-natural consensus sequence showed the highest stability and activity among those tested. Comparison of activity and stability parameters of this stabilized mutant and other natural variants bearing similar mutations allow us to pinpoint the sites most likely to be responsible for the enhancement. Point mutations in these sites alter the unfolding process of the consensus sequence. We show that the stabilized version of the protein retains full activity even in the harsh oil degumming conditions, making it suitable for industrial applications.

biochemistry↗

S-acylation controls SARS-Cov-2 membrane lipid organization and enhances infectivity

SARS-CoV-2 virions are surrounded by a lipid bilayer which contains membrane proteins such as Spike, responsible for target-cell binding and virus fusion, the envelope protein E and the accessory protein Orf3a. Here, we show that during SARS-CoV-2 infection, all three proteins become lipid modified, through action of the S-acyltransferase ZDHHC20. Particularly striking is the rapid acylation of Spike on 10 cytosolic cysteines within the ER and Golgi. Using a combination of computational, lipidomics and biochemical approaches, we show that this massive lipidation controls Spike biogenesis and degradation, and drives the formation of localized ordered cholesterol and sphingolipid rich lipid nanodomains, in the early Golgi where viral budding occurs. ZDHHC20-mediated acylation allows the formation of viruses with enhanced fusion capacity and overall infectivity. Our study points towards S-acylating enzymes and lipid biosynthesis enzymes as novel therapeutic anti-viral targets.

cell biology↗

A bottom-up approach for the de novo design of functional proteins

De novo protein design has enabled the creation of novel protein structures. To design novel functional proteins, state-of-the-art approaches use natural proteins or first design protein scaffolds that subsequently serve as templates for the transplantation of functional motifs. In these approaches, the templates are function-agnostic and motifs have been limited to those with regular secondary structure. Here, we present a bottom-up approach to build de novo proteins tailored to structurally complex functional motifs. We applied a bottom-up strategy to design scaffolds for four different binding motifs, including one bi-functionalized protein with two motifs. The de novo proteins were functional as biosensors to quantify epitope-specific antibody responses and as orthogonal ligands to activate a signaling pathway in engineered mammalian cells. Altogether, we present a versatile strategy for the bottom-up design of functional proteins, applicable to a wide range of functional protein design challenges.

bioengineering↗

Trivalent cocktail of de novo designed immunogens enables the robust induction and focusing of functional antibodies in vivo

De novo protein design has been successful in expanding the natural protein repertoire. However, most de novo proteins lack biological function, presenting a major methodological challenge. In vaccinology, the induction of precise antibody responses remains a cornerstone for next-generation vaccines. Here, we present a novel protein design algorithm, termed TopoBuilder, with which we engineered epitope-focused immunogens displaying complex structural motifs. Both in mice and non-human primates, cocktails of three de novo designed immunogens induced robust neutralizing responses against the respiratory syncytial virus. Furthermore, the immunogens refocused pre-existing antibody responses towards defined neutralization epitopes. Overall, our de novo design approach opens the possibility of targeting specific epitopes for vaccine and therapeutic antibody development, and more generally will be applicable to design de novo proteins displaying complex functional motifs.

bioengineering↗

The architecture of the endoplasmic reticulum is regulated by the reversible lipid modification of the shaping protein CLIMP-63

The endoplasmic reticulum (ER) has a complex morphology generated and maintained by membrane-shaping proteins and membrane energy minimization, though not much is known about how it is regulated. The architecture of this intracellular organelle is balanced between large, thin sheets that are densely packed in the perinuclear region and a connected network of branched, elongated tubules that extend throughout the cytoplasm. Sheet formation is known to involve the cytoskeleton-linking membrane protein 63 (CLIMP-63), though its regulation and the depth of its involvement remain unknown. Here we show that the post-translational modification of CLIMP-63 by the palmitoyltransferase ZDHHC6 controls the relative distribution of CLIMP-63 between the ER and the plasma membrane. By combining data-driven mathematical modeling, predictions, and experimental validation, we found that the attachment of a medium chain fatty acid, so-called S-palmitoylation, to the unique CLIMP-63 cytoplasmic cysteine residue drastically reduces its turnover rate, and thereby controls its abundance. Light microscopy and focused ion beam electron microcopy further revealed that enhanced CLIMP-63 palmitoylation leads to strong ER-sheet proliferation. Altogether, we show that ZDHHC6-mediated S-palmitoylation regulates the cellular localization of CLIMP-63, the morphology of the ER, and the interconversion of ER structural elements in mammalian cells through its action on the CLIMP-63 protein.\n\nSignificance StatementEukaryotic cells subcompartmentalize their various functions into organelles, the shape of each being specific and necessary for its proper role. However, how these shapes are generated and controlled is poorly understood. The endoplasmic reticulum is the largest membrane-bound intracellular compartment, accounting for more than 50% of all cellular membranes. We found that the shape and quantity of its sheet-like structures are controlled by a specific protein, cytoskeleton-linking membrane protein 63, through the acquisition of a lipid chain attached by an enzyme called ZDHHC6. Thus, by modifying the ZDHHC6 amounts, a cell can control the shape of its ER. The modeling and prediction technique used herein also provides a method for studying the interconnected function of other post-translational modifications in organelles.

cell biology↗

Structural Models And Considerations On The COA6, COX18 And COX20 Factors That Assist Assembly Of Human Cytochrome C Oxidase Subunit II

The soluble domain of cytochrome c oxidase subunit II (COX2), located in the outer side of the inner mitochondrial membrane, contains a binuclear copper site (CuA) through which electrons flow from cytochrome c to the core of the oxidase where oxygen reduction takes place. Being COX2 encoded in the mitochondrial genome, newly synthesized protein undergoes maturation steps in which it is translocated through and inserted into the inner mitochondrial membrane, and copper ions are loaded to form the CuA site. These steps are ensured by several protein factors in a complex pathway that is not fully understood, including copper-loading and disulfide-reduction proteins plus chaperones that assist proper membrane insertion. While the structure and function of copper-loading and disulfide-reducing proteins Sco1 and Sco2 have been quite studied at atomistic level, the latest biological studies have uncovered roles for other proteins that are not yet much understood at the structural level. In particular, recent experiments showed that membrane protein COX18 is a membrane-protein insertase for COX2, whereas membrane protein COX20 is a chaperone that stabilizes COX2 during translocation through the inner mitochondrial membrane, and soluble protein COA6 is part of the copper-loading pathway in conjunction with Sco1 and Sco2. This work reports structural models for COX18, COX20 and COA6, built judiciously from homology modeling, contact prediction-based modeling and transmembrane helix predictions, while considering the underlying biology. Implications and limitations of the models are discussed, and possible experimental routes to pursue are proposed. All models are provided as PyMOL sessions in the Supporting Information and can be visualized online at http://lucianoabriata.altervista.org/modelshome.html.

biochemistry↗