Biology subjects

De Los Rios, P.

Publications and source records attributed to De Los Rios, P..

17 recordsLinked to original sources

bioRxiv2026

Reverse engineering Lewy bodies suggests alpha-synuclein pathology as condensatopathy

Understanding how soluble monomeric alpha-synuclein transitions into pathological alpha-synuclein (Lewy bodies) has remained a central challenge in neurodegeneration. Existing models, largely based on treating cells and animals with pre-formed alpha-synuclein fibrils cannot account for the emergence of the first inclusion without pre-existing seeds. Here, we combine in vitro reconstitutions, computational modeling and a minimal cellular system to show that phase separation of alpha-synuclein with an interacting scaffold can recapitulate Lewy body-like structures. An unbiased proteomics screen, live-cell imaging, correlative light-electron microscopy, and soft X-ray tomography show that Lewy body-like structures are associated with redistribution of actin and membrane-bound organelles, with mitochondria accumulating at their periphery in an actin-dependent manner. Structural analyses further indicate that alpha-synuclein condensates provide local environments in which the insoluble beta-sheets can form. Together, these findings support a seed-independent trajectory from soluble alpha-synuclein through condensation and progressive immobilization to Lewy body-like assemblies and, subsequently, insoluble beta-sheet fibrils. This framework offers a new mechanistic route for understanding the disease progression and promises to guide the design of innovative therapeutic interventions.

neuroscience↗

bioRxiv2026

A self-consistent model for phase separation and active processes in biomolecular condensates

Biomolecular condensates are thought to play a pivotal role in cellular organization by regulating biochemical reactants in space and time. Sustained molecular fluxes across condensate boundaries, together with the participation of phase-separating molecules in active chemical reactions such as ATP hydrolysis, call for a nonequilibrium description. Here, we propose a self-consistent framework in which diffusion-drift dynamics and chemical reactions are coupled through a conditional free energy, defined as the excess contribution to the chemical potential. Self-consistency is achieved by deriving this quantity from the same free-energy functional that governs molecular interactions and phase separation. We apply the framework to a minimal client-scaffold system and investigate how active chemical processes and phase separation interact at steady state. In doing so, our approach recovers the fundamental rules previously identified for the emergence of nonequilibrium steady-state fluxes. The model shows that active reactions involving the scaffold molecules can regulate the phase behavior of the condensate. Moreover, nonequilibrium steady-state fluxes are maximal near the boundary between the phase-separated and homogeneous regimes, suggesting that condensates sustaining molecular transport may operate close to their stability threshold. In the same region, client fluxes are also enhanced, revealing an indirect coupling between scaffold activity and client transport. These results provide a baseline for developing more detailed theories of chemically active condensates.

biophysics↗

bioRxiv2026

Partner determination from protein sequences using class information with CLAPP

Protein-protein interactions underpin nearly all cellular processes, making their accurate identification a central challenge in biology. With the rapid expansion of genomic data, sequence-based computational approaches have emerged as a powerful route to infer such interactions, complementing experimental methods that are often prohibitively time- and resource-intensive. This challenge becomes particularly acute in the presence of paralogs, which arise through gene duplication and typically diversify toward distinct, though sometimes overlapping, functions. Reconstructing their interaction networks is therefore essential for understanding a wide range of biological processes. Protein paralogs within a family can often be subdivided into classes based on a range of properties, including functional, structural and architectural features. When interactions between these classes are conserved across organisms, such that sequences from one class interact exclusively with sequences from another, this information can be used to solve the paralog matching problem. We introduce here CLAPP (CLAss Pooling for Paralog matching), a method for predicting interacting paralogs by pooling interaction scores from different subclasses across organisms. We apply it to scores extracted using coevolution-based methods. Pooling scores at the class level reduces noise in the interaction scores and replaces organism-specific assignments with a single shared assignment, improving performance and substantially reducing computational cost. We apply CLAPP to bacterial systems including histidine kinases and response regulators, as well as interacting families of chaperones and co-chaperones, and recover known interaction partners.

bioinformatics↗

bioRxiv2026

Allosteric Logic Gate

Allostery enables proteins to transmit local perturbations to distant functional residues, providing a biophysical basis for molecular signal integration. Here we introduce an Allosteric Logic Gate (ALG): an elastic network designed to convert two independent deformations at input sites into a Boolean-like conformational output at the distant active region. We model ligand binding as constrained local deformations at two spatially separated sites and read the output through a conformational measure at the active region. We show that it is possible to optimise the networks spring constants to produce a triggered allosteric response only when both inputs are present, thereby implementing a Boolean AND gate. Moreover, the evolved networks display a strongly non-linear response, matching the switch-like property of logic gates. Statistical analysis of successful networks reveals conserved mechanical motifs, including stiff bonds connecting the input regions and flanking floppy regions that accommodate the output deformation. These results demonstrate that coarse-grained elastic networks can be inverse-designed to perform non-linear logic operations, suggesting a route toward programmable binary allostery, protein-inspired circuits, and biosensors capable of integrating multiple molecular signals.

biophysics↗

bioRxiv2025

Native, full-length, refolding-assisted purification of TDP-43 compatible with BSL-2 safety regulations

TAR DNA-binding protein 43 (TDP-43) is a prion-like RNA-binding protein that plays a key role in amyotrophic lateral sclerosis and frontotemporal dementia. Producing full-length TDP-43 consistently is thus relevant for its in vitro studies and yet it remains challenging, especially with the current requirement to work under biosafety level-2 (BSL-2) containment due to new safety regulations for Prion-like and amyloidogenic proteins. Here we describe a refolding-assisted purification protocol for TDP-43 from soluble fraction that can be implemented with basic equipment in standard BSL-2 laboratories. Expression in Escherichia coli is followed by IMAC-capture on an EDTA/DTT-tolerant Ni-NTA resin under 4 M urea, then on-column refolding via a gradient urea wash using resin-limiting conditions that favour the binding to high-affinity His-tagged protein. After SUMO solubility tag removal, the preparation is monitored by a robust quality-control pipeline: SDS-PAGE and immunoblotting for integrity and purity, mass photometry for oligomeric state, far-UV circular dichroism for secondary structure, fluorescence anisotropy for native functional assays, and light-scattering for stability and aggregation propensity measurements. A concise BSL-2 standard operating procedure specifies containment, decontamination, and waste handling for prion-like proteins. This protocol enables safe, cost-effective, and reproducible access to native-like full-length TDP-43 and is readily adaptable to other prion-like aggregation-prone proteins. HighlightsO_LIPresents a single-step, gravity-based Immobilized metal affinity (IMAC) purification with an optimized on-column refolding strategy. C_LIO_LIIncludes a detailed BSL-2 Standard Operating Procedure (SOP) with specific decontamination contact times and waste management protocols. C_LIO_LIValidation of protein quality, oligomeric state, and functional characterisation C_LI

biochemistry↗

bioRxiv2025

Controllable Protein Design via Autoregressive Direct Coupling Analysis Conditioned on Principal Components

We present FeatureDCA, a statistical framework for protein sequence modeling and generation that extends Direct Coupling Analysis (DCA) with biologically meaningful conditioning. The method can leverage different kinds of information, such as phylogeny, optimal growth temperature, enzymatic activity or, as in the case presented here, principal components derived from multiple sequence alignments, and use it to improve the learning process and consequently efficiently condition the generative process. FeatureDCA allows sampling to be guided toward specific regions of sequence space while maintaining the efficiency and interpretability of Potts-based inference. Across multiple protein families, our autoregressive implementation of FeatureDCA matches or surpasses the generative accuracy of established models in reproducing higher-order sequence statistics while preserving substantial sequence diversity. Structural validation with AlphaFold and ESMFold confirms that generated sequences adopt folds consistent with their intended wild-type targets. In a detailed case study of the Response Regulator family (PF00072), which comprises distinct structural subclasses linked to different DNA-binding domains, FeatureDCA accurately reproduces class-specific architectures when conditioned on subtype-specific principal components, highlighting its potential for fine-grained structural control. Predictions of experimental deep mutational scanning data show accuracy comparable to that of unconditioned autoregressive Potts models, indicating that FeatureDCA also captures local functional constraints. These results position FeatureDCA as a flexible and transparent approach for targeted sequence generation, bridging statistical fidelity, structural realism, and interpretability in protein design.

bioinformatics↗

bioRxiv2025

Is Hsp110 boosting the basal disaggregation activity Hsp70 by enhanced entropic pulling strokes?

Hsp70s use energy from ATP hydrolysis to unfold protein structures and solubilize stable aggregates, accumulating native species even under adverse non-native conditions. To carry out its catalytic polypeptide-unfolding activity, Hsp70 needs to reversibly interact with a J-domain (JDP) catalyst, a misfolded or alternatively folded polypeptide substrate and a Nucleotide Exchange Factor (NEF), which binds to the Nucleotide Binding Domain (NBD) of HSp70, accelerates ADP-release and allosterically controls the dissociation of the unfolded polypeptide product of the unfolding reaction. Yet, during the process of eukaryotisation, GrpE was lost from the cytosol, to be replaced by novel NEF proteins, among which the Hsp110 family stands out. Hsp110s belong to the Hsp70 superfamily, but the evolutionary steps that led from an ancestral Hsp70 unfoldase to a Hsp110 NEF of Hsp70s remain unsolved. Combining experiments using wild-type Sse1 (yeast Hsp110) and rationally designed mutants, we show that Hsp110 is likely built upon some of distinctive features already present in Hsp70 by repurposing them, rather than by inventing novel molecular properties. Taking all results together, we suggest a novel mechanism of action of Hsp110, whereby it is a NEF that also enhances the unfolding/disaggregating entropic pulling forces generated by Hsp70, by transiently increasing the chaperone effective volume.

biochemistry↗

bioRxiv2024

Single-molecule evidence of Entropic Pulling by Hsp70 chaperones

Hsp70 chaperones are central components of the cellular network that ensure the structural quality of proteins. Despite their crucial roles in processes as diverse as the prevention of protein aggregation and protein translocation into organelles, their molecular mechanism of action has remained a hotly debated issue. Due to a lack of suitable methods, no experimental data has directly proven any of the models that have been proposed (Power Stroke, Brownian Ratchet, and Entropic Pulling). Recently, nanopores have emerged as a powerful tool to analyze the function of motor enzymes, as well as protein-protein interactions. Here, we used an in vitro single-molecule nanopore to mimic in vivo translocation of proteins, and to investigate the molecular mechanism of Hsp70. Our experiments demonstrate that Hsp70s forcefully extract polypeptide substrates that are trapped inside the pore. The forces they exert are strong at the molecular level, being equivalent to 46 pN over distances of 1 nm, and depend on the size of Hsp70. These findings provide unambiguous evidence supporting the Entropic Pulling mechanism of action of Hsp70s, thus solving a long-standing debate, and proposing a potentially universal principle governing diverse cellular processes. In addition, these results emphasize the utility of biological nanopores for studying protein function at the single-molecule level.

biophysics↗

bioRxiv2024

Autorepression of Yeast Hsp70 co-chaperones by intramolecular interactions involving their J-domains.

The Hsp70 chaperones control protein homeostasis in all ATP-containing cellular compartments. J-domain proteins (JDPs) co-evolved with Hsp70s to trigger ATP-hydrolysis and catalytically upload various substrate polypeptides in need to be structurally modified by the chaperone. Here, we measured the protein disaggregation and refolding activities of the main yeast cytosolic Hsp70, Ssa1, in the presence of its most abundant JDPs, Sis1 and Ydj1, and two swap mutants, in which the J-domains have been interchanged. The observed differences by which the four constructs differently cooperate with Ssa1 and cooperate with each other, as well as their observed intrinsic ability to bind misfolded substrates and trigger Ssa1s ATPase, indicates the presence of yet uncharacterized intra-molecular dynamic interactions between the J-domains and their remaining C-terminal domains. Taken together, the data suggest an auto-regulatory role to these intra-molecular interactions within both type A and B JDPs, which might have evolved to reduce energy-costly ATPase cycles by the Ssa1-4 chaperones that are the most abundant Hsp70s in the yeast cytosol. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=148 SRC="FIGDIR/small/578849v1_figa1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@d895d3org.highwire.dtl.DTLVardef@1545221org.highwire.dtl.DTLVardef@dc08b3org.highwire.dtl.DTLVardef@1bf286a_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical abstract:C_FLOATNO Lower panel: autoinhibited DnaJA or DnaJB dimers, drawn here as Swiss army knives with sequestered J-domains as folded blades, can bind misfolded polypeptides (violet). Upper panel: DnaJA or DnaJB become active when their J-domains are exposed and can bind ATP-Hsp70s, and transfer the misfolded polypeptides, respectively, onto Hsp70s nucleotide binding (Cyan) and protein binding domains (Orange and Green). Hsp70s interdomain linker (DLLLLDV, Magenta). C_FIG

biochemistry↗

bioRxiv2022

The individual and combined benefits of differentnon-equilibrium proofreading mechanisms

Genome duplication, transcription and translation are among many crucial cellular processes that need to be performed with high fidelity. However those extremely low error rates cannot be explained with simple equilibrium thermodynamic considerations. They instead require considering irreversible, energy consuming reactions in the overall mechanism. We develop here a model of substrates selection comprising energy consuming steps and which aims at selecting right substrates among wrong ones. With this model, we investigate the impact of energy consumption on the accuracy and the speed of the selection, as well as different selection strategies. The model presented here encompasses the classic kinetic proofreading scheme and a different mechanism whereby the rates of the energy consuming step are modulated by the nature of the substrate. We show that, in our framework, the fastest and most accurate selection strategy relies on a combination of both mechanisms. A structurally and biochemically informed coarse-grained description of real biological processes such as DNA replication and protein translation, traditionally used as examples of kinetic proofreading at work, shows that, as a matter of fact, a combination of both mechanisms explored here is exploited.

biophysics↗

bioRxiv2022

Data-driven large-scale genomic analysis reveals an intricate phylogenetic and functional landscape in J-domain proteins

The 70 kDalton Heat shock protein (Hsp70) chaperone system is emerging as a central hub of the proteostasis network that helps maintain protein homeostasis in all organisms. The recruitment of Hsp70 to perform a vast array of different cellular functions is regulated by a family of co-chaperones known as J-domain proteins (JDP) that bear a small namesake J-domain, which is required to interact and drive the ATPase cycle of Hsp70s. Both prokaryotic and eukaryotic JDPs display staggering diversity in domain architecture (besides the ubiquitous J-domain), function, and cell localization. On the contrary, a relatively small number of Hsp70 paralogs exist in cells, suggesting a high degree of specificity, but also promiscuity, in the partnering between JDPs and Hsp70s. Very little is known about the JDP family, despite their essential role in cellular proteostasis, development, and the link to a broad range of human diseases. The number of JDP gene sequences identified across all kingdoms as a consequence of advancements in sequencing technology has exponentially increased, where it is now beyond the ability of careful manual curation. In this work, we first provide a broad overview of the JDP repertoire accessible from public databases, and then we use an automated classification scheme, based on Artificial Neural Networks (ANNs), to demonstrate that the sequences of J-domains carry sufficient discriminatory information to recover with high reliability the phylogeny, localization, and domain composition of the corresponding full-length JDP. By harnessing the interpretability of the ANNs, we find that many of the discriminatory sequence positions match to residues that form the interaction interface between the J-domain and Hsp70. This reveals that key residues within the J-domains have coevolved with their obligatory Hsp70 partners to build chaperone circuits for specific functions in cells.

bioinformatics↗

bioRxiv2022

A novel fluorescent multi-domain protein construct reveals the individual steps of the unfoldase action of Hsp70

A detailed understanding of the mechanism by which Hsp70 chaperones protect cells against protein aggregation is hampered by the detailed characterization of the aggregates, which are typically heterogeneous. To tackle this problem, we designed here a reporter chaperone substrate, MLucV, composed of a stress-labile luciferase core, flanked by stress-resistant fluorescent mTFP and Venus domains, which upon denaturation formed a discrete stable population of small aggregates. Combining Forster Resonance Energy Transfer and enzymatic activity measurements provided unprecedent details on MLucV states, including native, aggregated, unfolded and chaperone-bound conformations. Using MLucV, we probed the various steps undertaken by bacterial Hsp70 to convert stable discrete aggregates into native proteins. The mechanism first involved an ATP-fuelled disaggregation and unfolding step of the stable pre-aggregated substrate, with a consequent stretching of MLucV beyond simply-unfolded conformations, followed, upon release, by native refolding. Furthermore, the ATP-fuelled unfolding action of Hsp70 on MLucV aggregates could accumulate native MLucV species under elevated denaturing temperatures, highly adverse to the native state. These results unambiguously excluded binding and preventing aggregation from the non-equilibirum mechanism by which Hsp70 converts stable aggregates into metastable native proteins.

molecular biology↗

bioRxiv2021

ABC Transporters are billion-year-old Maxwell Demons

ABC transporters are a broad family of biological machines, found in most prokaryotic and eukaryotic cells, performing the crucial import or export of substrates through both plasma and organellar membranes, and maintaining a steady concentration gradient driven by ATP hydrolysis. Building upon the present biophysical and biochemical characterization of ABC transporters, we propose here a model whose solution reveals that these machines are an exact molecular realization of the Maxwell Demon, a century-old abstract device that uses an energy source to drive systems away from thermodynamic equilibrium. In particular, the Maxwell Demon does not perform any direct mechanical work on the system, but simply selects which spontaneous processes to allow and which ones to forbid based on information that it collects and processes. In the molecular model introduced here, the different information-processing steps that characterize Maxwell Demons (measurement, feedback and resetting) are features that emerge from the biochemical and structural properties of ABC transporters, allowing us to develop an explicit bridge between the molecular level description and the higher-level language of information theory.

biophysics↗

bioRxiv2021

Relief of ParB autoinhibition by parS DNA catalysis and ParB recycling by CTP hydrolysis promote bacterial centromere assembly.

Three-component ParABS systems are widely distributed factors for plasmid partitioning and chromosome segregation in bacteria. ParB protein acts as an adaptor between the 16 bp centromeric parS DNA sequences and the DNA segregation ATPase ParA. It accumulates at high concentrations at and near a parS site by assembling a partition complex. ParB dimers form a DNA sliding clamp whose closure at parS requires CTP binding. The mechanism underlying ParB loading and the role of CTP hydrolysis however remain unclear. We show that CTP hydrolysis is dispensable for Smc recruitment to parS sites in Bacillus subtilis but is essential for chromosome segregation by ParABS in the absence of Smc. Our results suggest that CTP hydrolysis contributes to partition complex assembly via two mechanisms. It recycles off-target ParB clamps to allow for new attempts at parS targeting and it limits the extent of spreading from parS by promoting DNA unloading. We also propose a model for how parS DNA catalyzes ParB clamp closure involving a steric clash between ParB protomers binding to opposing parS half sites.

biochemistry↗

bioRxiv2018

DNA-segment-capture model for loop extrusion by structural maintenance of chromosome (SMC) protein complexes

Cells possess remarkable control of the folding and entanglement topology of long and flexible chromosomal DNA molecules. It is thought that structural maintenance of chromosome (SMC) protein complexes play a crucial role in this, by organizing long DNAs into series of loops. Recent experimental data suggest that SMC complexes are able to translocate on DNA, as well as pull out lengths of DNA via a \"loop extrusion\" process. We describe a Brownian loop-capture-ratchet model for translocation and loop extrusion based on known structural, catalytic, and DNA-binding properties of the Bacillus subtilis SMC complex. Our model provides an example of a new class of molecular motor where large conformational fluctuations of the motor track - in this case DNA - are involved in the basic translocation process. Quantitative analysis of our model leads to a series of predictions for the motor properties of SMC complexes, most strikingly a strong dependence of SMC translocation velocity on tension in the DNA track that it is moving along, with \"stalling\" occuring at subpiconewton tensions. A closely related hallmark of the loop-capture mechanism is a strong dependence of translocation step size on DNA tension. We also discuss how the same mechanism might be used by other structurally related SMC complexes (E. coli MukBEF and eukaryote condensin, cohesin and SMC5/6) to organize genomic DNA.

biophysics↗

bioRxiv2017

Molecular chaperones inject energy from ATP hydrolysis into the non-equilibrium stabilisation of native proteins

Protein homeostasis, namely the ensemble of cellular mechanisms collectively controlling the activity, stability and conformational states of proteins, depends on energy-consuming processes. De novo protein synthesis requires ATP hydrolysis for peptide bond formation. Controlled degradation by the chaperone-gated proteases requires ATP hydrolysis to unfold target proteins and render their peptide bonds accessible to hydrolysis. During and following translation, different classes of molecular chaperones require ATP hydrolysis to control the conformational state of proteins, favor their folding into their active conformation and avoid, under stress, their conversion into potentially harmful aggregates. Furthermore, specific ATP-fueled unfolding chaperones can dynamically revert aggregation itself. We used here various biochemical assays and physical modeling to show that both bacterial chaperones GroEL (HSP60) and DnaK (HSP70) can use the energy liberated by ATP hydrolysis to maintain proteins in their active state even under conditions that do not favor, thermodynamically, the native state. The energy from ATP hydrolysis is thus injected by the chaperones in the system and converted into an enhanced, non-equilibrium steady-state stabilization of the native state of their substrates. Upon ATP consumption, the chaperone substrates spontaneously revert to their equilibrium non-native state.

biochemistry↗

bioRxiv2017

New Techniques for Ancient Proteins: Direct Coupling Analysis Applied on Proteins involved in Iron Sulfur Cluster Biogenesis

Direct coupling analysis (DCA) is a powerful tool based on protein evolution and introduced to predict protein fold and protein-protein interactions which has been applied also to the prediction of entire interactomes. We have used DCA to analyse three proteins of the iron-sulfur biogenesis machine, an essential metabolic pathway conserved in all organisms. We show that, although based on a relatively small number of sequences due to its distribution in genomes, we can correctly recapitulate all the features of the fold of the CyaY/frataxin family, a protein involved in the human disease Friedreichs ataxia. This result gave us confidence in the use of this tool. Application of DCA to the iron-sulfur cluster scaffold protein IscU, which has been suggested to function both as an ordered and a disordered form, allows us to clearly distinguish evolutionary traces of the structured species, suggesting that, if present in the cell, the disordered form has not left any evolutionary imprinting. We observe instead, for the first time, direct indications of how the protein can dimerize head-to-head and bind 4Fe4S clusters. Analysis of the alternative scaffold protein IscA provides strong support to a coordination of the cluster mediated by a dimeric rather than a tetrameric form as previously suggested. Our analysis also suggests the presence in solution of a mixture of monomeric and dimeric species and guide us to the prevalent one. Finally, we used DCA to analyse protein-protein interactions between some of these proteins and discuss the potentialities and the limitations of the method.

bioinformatics↗