Nature Chemistry

Biomolecular condensates are functionally gated by their material properties. While RNA is a primary structural scaffold, its sequence-specific interactions can aberrantly drive condensates into dysfunctional solid aggregates. Yet, actively reversing this solidification to restore function remains a fundamental challenge, impeding progress in synthetic biology and therapeutics interventions. Here, we establish that complex coacervates can be engineered as liquefiers to actively remodel solid RNA-peptide aggregates into functional liquid droplets. Integrating systematic experiments with all-atom simulations, we decode a multiscale mechanism: coacervate infiltration at the micrometer scale mediates molecular buffering at the nanometer scale, which fluidizes the crosslinked network to drive macroscopic liquefaction. This capability is governed by a design rule, where coacervates formed by small-molecular anions exhibit optimal efficacy. We deploy this principle to functionally rescue silenced RNA within a model of pathologically solidified ribonucleoprotein assemblies. Our work provides a general framework for the active, compositional control of biomolecular phase behavior, with direct implications for managing pathological aggregation and engineering functional condensates in synthetic and living systems.

The declining cost of green hydrogen--projected below 1.5 USD/kg by 2030--opens new avenues for its use beyond fuel cells and industrial heating. Here we demonstrate that H2 can serve as a stoichiometric electron donor for cell-free enzymatic cofactor regeneration, coupling H2 oxidation to NADPH production and driving the complete bioconversion of pyruvate to lactate. A partially purified enzyme ensemble from Escherichia coli overexpressing Clostridium pasteurianum ferredoxin, augmented with [FeFe]-hydrogenase CpII, delivers NADP+ reduction rates of 103 M min-1 (27-fold enhancement) with superlinear dependence on H2 partial pressure. Reconstitution from purified components (CpI or CpII, CpFd, AnFNR, LDH) uncovers a redox-potential-dependent lag phase: the NADPH/NADP+ ratio must exceed 0.85 before pyruvate reduction becomes thermodynamically spontaneous, after which the rate accelerates exponentially. These results position hydrogen-driven cofactor regeneration as a scalable, byproduct-free platform for reductive biotransformations powered by renewable H2.

RNA is crucial to all extant biology and thought to have played an essential role in lifes origins. However, hydrolysis of RNA under common environmental conditions such as heating, drying, and exposure to divalent cations presents challenges for its persistence and effectiveness in prebiotic contexts. RNAs with less stable secondary and tertiary structures are especially susceptible to degradation. In living cells, sequestration in biopolymer-rich membraneless organelles helps shield RNA from damage and enzymatic degradation. Here, we report that compartmentalization into polyelectrolyte-based complex coacervate droplets protects RNA from hydrolysis during wet-dry cycling at elevated temperatures in the presence of Mg2+. This protection can be understood in terms of the coacervate microenvironment under varied salt concentrations and how it changes during sample drying. After gaining insight into this prebiotically-plausible mechanism using an unstructured model RNA, we demonstrate coacervate-based protection of a ligase ribozyme, supporting the functional relevance of the protection.

We report the discovery that chemical reactions can be catalyzed by condensates formed by intrinsically disordered proteins (IDPs). The proteins themselves lack any catalytic activities. Catalytic functions of condensates emerge as a consequence of sequence-dependent mesoscale electrochemical microenvironments created by phase separation. Stimulated Raman spectroscopy suggests that the catalytic behaviors of condensates are attributable to the spatial variations of water activities across condensate interiors and interfaces. We show that condensates are capable of catalyzing diverse cellularly relevant hydrolysis reactions. Through sequence design, the electrochemical properties of condensates can be programmed to exert control over catalytic behaviors. Incorporation of synthetic condensates into live cells alters transcription profiles and enables the activation of gene circuits that depend on products of hydrolysis reactions catalyzed by condensates. Our discovery of suggests that condensates, depending on their composition-dependent electrochemical properties, can be "Condenzymes", which contribute unexpected emergent chemical functions in cells.

Polyethylene terephthalate (PET) is a widely used thermoplastic whose high crystallinity poses a major barrier to upscaling enzymatic recycling. While PETases with high activity and stability have been reported, no enzyme capable of directly depolymerizing crystalline PET (cPET) has been discovered, and the molecular determinants limiting their efficacy remain difficult to characterize. Here, we integrate experimental conformational ratios of crystalline and amorphous PET chains with enhanced-sampling molecular dynamics simulations to map the free-energy landscape of a prototypical PETase bound to PET oligomers, revealing how structural equilibria translate to catalytic function. Surprisingly, productive enzyme-substrate catalytic configurations can be reached for both crystalline and amorphous PET chains. However, forming catalytic ensembles with cPET requires ~25 kJ/mol more than with aPET, with an additional ~17 kJ/mol per monomer needed for chain separation, which further limits enzymatic activity on crystalline substrates. The model highlights limitations of current alpha/beta-hydrolase scaffolds used for PET depolymerization and indicates directions for their redesign to enable cPET depolymerization. Our approach showcases a general strategy to explore substrate-enzyme catalytic ensembles in plastic depolymerization and guide enzyme design with built-in sustainability.

Sequence heterogeneity is a defining feature of cellular biomolecular condensates, yet how competing interaction motifs encode their thermodynamic stability, internal organization, and dynamics remains poorly understood. Here, we systematically tune the hydrophobicity mismatch between intrinsically disordered peptide pairs to establish sequence hydrophobicity as a programmable determinant of heterotypic condensate behaviour. We show that heterotypic condensates are thermodynamically more stable than homotypic ones having same average hydrophobicity through the cooperative interplay of short-range hydrophobic and long-range electrostatic interactions. Increasing hydrophobicity mismatch drives a composition-dependent transition from homogeneous condensates to core-shell architectures accompanied by pronounced spatial and dynamical heterogeneity, whereas reducing sequence disparity restores homogeneous organization and nearly uniform dynamics. Our results establish a direct molecular link between sequence chemistry, phase stability, condensate architecture, and transport dynamics, providing predictive design principles for engineering synthetic biomolecular condensates with programmable organization and material properties. TOC O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=105 SRC="FIGDIR/small/743201v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@12e7fborg.highwire.dtl.DTLVardef@13c31a0org.highwire.dtl.DTLVardef@de3453org.highwire.dtl.DTLVardef@3d4600_HPS_FORMAT_FIGEXP M_FIG C_FIG

Self-assembling single-chain amphiphiles available in the prebiotic environment likely played a fundamental role in the advent of primitive cell cycles. However, the instability of prebiotic fatty acid-based membranes to temperature and pH seems to suggest that primitive cells could only host prebiotically-relevant processes in a narrow range of non-fluctuating environmental conditions. Here we propose a novel primitive cell cycle driven by environmental fluctuations, which enable the generation of daughter protocells with reshuffled content. A reversible membrane-to-oil phase transition accounts for the dissolution of fatty acid-based vesicles at high temperatures, and the concomitant release of genetic content. At low temperatures, fatty acid bilayers reassemble and encapsulate reshuffled genetic material in a new cohort of protocells. Notably, we find that our disassembly/reassembly cycle drives the emergence of functional RNA-containing primitive cells from parent non-functional compartments. Thus, by exploiting the intrinsic instability of prebiotic fatty acid vesicles, our results point at an environmentally-driven tunable primitive cell cycle, which supports the release and reshuffle of protocellular genetic and membrane components, potentially leading to a new generation of protocells with superior traits. In the absence of protocellular transport machinery, the environmentally-driven disassembly/assembly cycle proposed herein would have supported genetic content reshuffling transmitted to primitive cell progeny, hinting at a potential mechanism important to initiate Darwinian evolution of early lifeforms.

On-demand assembly of arbitrary, sequence-defined polymers from a pool of monomers is a major challenge in modern chemistry, towards which limited progress has been made. By contrast, biological systems routinely use information-bearing DNA and RNA templates to catalytically synthesize a precise, far-from-equilibrium ensemble of nucleic acid and protein sequences from the available pools of NTPs or aminoacyl-tRNAs. Inspired by these biological examples, we introduce an enzyme-free DNA strand displacement network in which single-stranded DNA sequences template the assembly of specific non-covalent DNA multimers of up to length five, under isothermal and autonomous conditions. The templates demonstrate significant turnover, bypassing product inhibition. They can thereby catalyse the formation of a far-from-equilibrium ensemble of long-lived metastable products that are not otherwise addressable.

DNA and RNA are compartmentalized into distinct, heterogeneous structures within cells. However, the separation between RNA and DNA, especially in the absence of modern transcription machinery, is inherently hindered by thermodynamic constraints such as complementary base pairing and entropic mixing. Here, we demonstrate that a single atomic difference in the pentose sugars of single-stranded DNA and RNA with identical sequences profoundly alters their interactions with cationic peptides, driving DNA-RNA segregation to form multiphase condensates. We reveal that the interplay between homotypic and heterotypic interactions among DNA, RNA and peptides dictates the formation of multiphase condensates. Leveraging this mechanism, we design a library of sequence-specific oligonucleotides, termed SEGREGamers, that enable programmable multiphase droplets with coexisting DNA-rich and RNA-rich domains. These synthetic condensates recapitulate key features of cellular nuclear compartments, including selective partitioning of small molecules, promotion of RNA aptamer folding, and enhancement of catalytic RNA cleavage. Our findings highlight the pivotal role of pentose sugar variations in nucleic acid compartmentalization, offering new insights into the evolutionary origins of nuclear organization and providing a versatile platform for engineering synthetic nuclear mimics, programmable molecular condensates, and RNA delivery vehicles.

Biomolecular condensates have emerged as prominent regulators of dynamic subcellular organisation and essential biological processes. Temperature, in particular, exerts a significant influence on the formation and behaviour of biomolecular condensation. For example, during cellular heat stress, stress granules (SGs) are formed from RNA-binding proteins (RBPs) and RNA, forming liquid condensates to protect the RNA from damage. However, the molecular mechanisms leading to changes in protein phase behaviour are not well understood. To answer how temperature modulates protein interactions and phase behaviour, we developed a high-throughput microfluidic platform, capable of mapping the phase space and quantifying protein interactions in a temperature-dependent manner. Specifically, our approach measures high-resolution protein phase diagrams as a function of temperature, while accurately quantifying changes in the binodal, condensate stoichiometry and free energy contribution of a solute, hence, providing information about the underlying mechanistic driving forces. We employ this approach to investigate the effect of temperature changes on the phase separation of the stress granule scaffold protein Ras GTPase-activating protein-binding protein 1 (G3BP1) with PolyA-RNA. Surprisingly, we find that the G3BP1/RNA phase boundary remains unaffected by the increasing temperature but the underlying stoichiometry and energetics shift, which can only be revealed with high-resolution phase diagrams. This indicates that temperature-induced dissolution is counteracted by entropic processes driving phase separation. With increasing temperature, the G3BP1 content in condensates decreases alongside with a reduction of the free energy of protein interactions, while the RNA content increases driven by entropically favoured hydrophobic interactions. In the context of cellular heat SG formation, these findings could indicate that during heat shock, elevated temperatures directly induce RNA recruitment to stress granules as a cytoprotective mechanism by finetuning the strength of protein and RNA interactions.

The capacity of biomolecular condensates to establish and modulate electrochemical equilibria is emerging as an important functioning mechanism in cellular biochemistry. However, the physical chemistry basis of the electric potentials arising from biomacromolecular phase transitions remains unclear. Here, we show that asymmetry in hydrophobicity, which is a generalizable feature in condensate system, can directly encode an electric potential gradient between the dilute and the dense phases. We demonstrate that using a non-charged intrinsically disordered protein, ion-dependent kosmotropic effect can encode measurable pH and interphase potential gradients into condensate. All-atom molecular dynamics simulations further reveal that the distinct intrinsic transfer free energy of ions defines the ion partitioning capability of condensates via favorable interactions with protein backbones. The simulation also shows the existence of both interfacial and interphase electric potentials. These built-in potentials modulate the partitioning and reactivity of charged solutes, enabling non-enzymatic, potential-dependent chemistry within condensates. Our findings identify hydrophobic asymmetry as a simple and generalizable mechanism for charging biological matter, linking water activity and ion energetics to the emergent electrochemistry of condensates.

Biomolecular condensation via liquid-liquid phase separation of intrinsically disordered proteins/regions (IDPs/IDRs) along with other biomolecules is thought to govern critical cellular functions, whereas, aberrant phase transitions are associated with a range of deadly neurodegenerative diseases. Here we show, a naturally occurring pathological truncation variant of the prion protein (PrP) by a mutation of a tyrosine residue at 145 to a stop codon (Y145Stop) yielding a highly disordered N-terminal IDR that spontaneously phase-separates into liquid-like droplets. Phase separation of this N-terminal segment that is rich in positively charged and aromatic residues is promoted by the electrostatic screening and a multitude of other transient, intermolecular, noncovalent interactions. Single-droplet Raman measurements in conjunction with an array of bioinformatic, spectroscopic, microscopic, and mutagenesis studies revealed that the intrinsic disorder and dynamics are retained in the liquid-like condensates. Lower concentrations of RNA promote the phase transition of Y145Stop at low micromolar protein concentrations under physiological condition. Whereas, higher RNA to protein ratios inhibit condensation indicating the role of RNA in modulating the phase behavior of Y145Stop. Highly dynamic liquid-like droplets eventually transform into dynamically-arrested, ordered, {beta}-rich, amyloid-like aggregates via liquid-to-solid transition upon aging. These amyloid-like aggregates formed via phase separation display the self-templating characteristic and are capable of recruiting and autocatalytically converting monomeric Y145Stop into amyloid fibrils. In contrast to this disease-associated intrinsically disordered Y145 truncated variant, the wild-type full-length PrP exhibited a much lower propensity for phase separation and liquid-to-solid maturation into amyloid-like aggregates hinting at a potentially crucial, chaperone-like, protecting role of the globular C-terminal domain that remains largely conserved in vertebrate evolution. Such an intriguing interplay in the modulation of the protein phase behavior will have much broader implications in cell physiology and disease.

Liquid-liquid phase separation (LLPS) of intrinsically disordered proteins underlies the formation of biomolecular condensates that regulate diverse cellular processes, while its dysregulation contributes to protein aggregation and disease. Despite its importance, molecularly defined and target-specific strategies to control LLPS remain limited. Here, we present a systematic framework for designing de novo peptides that induce and modulate LLPS of -synuclein. By integrating deep mutational scanning with peptide screening, we identified sequence features that govern condensate formation and enabled the creation of optimized peptides with high efficiency and specificity. Biophysical analyses revealed that LLPS efficiency is dictated by the interplay of solubility, multivalency, and cooperative interactions, resulting in a distinctive bell-shaped phase diagram. Thermodynamic measurements and imaging-based analyses further demonstrated that condensate stability and material properties can be rationally tuned through peptide optimization. Together, these findings establish generalizable design principles for engineering LLPS modulators in biologically and pathologically relevant protein systems.

Catalytic molecular templating, wherein a copolymer molecule serves as a sequence-specific template to propagate genetic information to a daughter copolymer, is fundamental to cells. Templating underlies DNA replication, RNA transcription and protein translation, underpinning the molecular basis of heredity, evolution, and biological function, and allowing staggering complexity to arise from simple building blocks. It has hitherto been challenging to emulate templating without highly evolved enzymes, largely due to product inhibition of catalytic turnover, which is a major challenge for templated dimerization and prohibitive for longer products. We present an enzyme-free DNA-based templated dimerization reaction enabled and controlled by a fuel strand that actively displaces the product from the template only once dimerization is complete, overcoming product inhibition. We systematically investigate design variants to optimise catalytic turnover, and demonstrate information propagation through the action of distinct templates that assemble specific products from the same pool of building blocks. We also show that the fuel represents an input by which the templating can be controlled, allowing the coupling of catalytic turnover to the output of upstream DNA circuitry. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=111 SRC="FIGDIR/small/706517v1_ufig1.gif" ALT="Figure 1"> View larger version (19K): org.highwire.dtl.DTLVardef@e82eeeorg.highwire.dtl.DTLVardef@1612b85org.highwire.dtl.DTLVardef@706911org.highwire.dtl.DTLVardef@217d6_HPS_FORMAT_FIGEXP M_FIG C_FIG

Electrochemical gradients are essential to the functioning of cells and form across membranes using active transporters. Here, we show in contrast that condensed biomolecular systems sustain significant pH gradients without any external energy input. By studying individual condensates on the micron scale using a microdroplet platform, we reveal dense phase pH shifts towards conditions of minimal electrostatic repulsion. We demonstrate that by doing so protein condensates can drive substantial alkaline and acidic gradients which are compositionally tuneable and can extend to complex architectures sustaining multiple unique pH conditions simultaneously. Through in silico characterisation of human proteomic condensate networks, we further highlight potential wide ranging electrochemical properties emerging from condensation in nature, while correlating intracellular condensate pH gradients with complex biomolecular composition. Together, the emergent nature of condensation shapes distinct pH microenvironments, thereby creating a unique regulatory mechanism to modulate biochemical activity in living systems.

Isopeptide bonds are amide bonds between amino acid side chains that can form autocatalytically, notably in the pili of Gram-positive bacteria. Here, we design de novo proteins that form both intramolecular and intermolecular isopeptide bonds entirely autocatalytically. We report over 50 designs that form isopeptide bonds, validated by mass spectrometry and 5 crystal structures. We redesign these constructs as split proteins that form a covalent intermolecular isopeptide crosslink when combined. These split designs are orthogonal to the existing isopeptide-based SpyTag/Catcher system, and their formation can be regulated by temperature, providing control over the timing of crosslinking in protein assemblies. We extend these designs to create rigid domain crosslinks that enable the construction of large well ordered symmetric rings of up to 215 kDa that are irreversibly covalently crosslinked by multiple isopeptide bonds into a single molecule. Our results provide insight into the determinants of isopeptide bond formation, considerably expand the set of isopeptide bond crosslinking systems, and establish a framework to construct fully covalent rigid protein assemblies.

Many cellular condensates, such as the nucleolus and stress granules, contain multiple coexisting phases with distinct compositions and material properties. This internal organization is crucial for function, yet how it is established remains unclear. Here, using a programmable DNA system, we reveal how molecular interactions can precisely encode multiphase architecture. We find that phase separation drives macromolecules into a semi-dilute regime where subtle differences in homotypic interaction energies are amplified into dominant organizational forces. A critical interaction energy threshold must be overcome to trigger internal demixing, after which molecular partitioning scales near-linearly with interaction strength. This universal relationship is captured by an associative polymer model, and enables engineering of condensates with up to four coexisting phases exhibiting 100-fold differences in viscosity within the same droplet. These design principles extend to RNA-peptide systems, establishing a general framework for how sequence can program hierarchical self-assembly and organize biological matter.

Biomolecular condensates, which regulate diverse cellular processes, exhibit distinct electric potential profiles. This potential gradient between the dilute and the dense phases serves as the underlying driving force mediating the unique microenvironment and electrochemical activity of condensates. However, the molecular principles encoding the electric potential profiles of condensates remain unclear. In this study, we show that molecular asymmetry is a unifying origin of electric polarization in condensates. Asymmetric protein-cation and protein-anion affinities alone generate an interfacial electric double layer and a finite potential even in condensates formed by charge-free proteins. The sign of potential gradient follows the direction of the affinity bias, and the magnitude collapses onto a single linear function of dense-phase protein volume fraction across changes in chain length, interaction strength and salt concentration. Further, chain termini preferentially occupy the condensate interface, so charges positioned asymmetrically with respect to the termini create spatial charge separation even in neutral polyampholytes. These interaction-encoded and sequence architecture-encoded asymmetries can reinforce, screen or reverse one another, allowing the magnitude and polarity of the interphase potential to be tuned through sequence design or solvent environments.

Liquid-liquid phase separation is the process in which two immiscible liquids demix. This spontaneous phenomenon yields spherical droplets that eventually coarsen to one large, stable droplet governed by the principle of minimal free energy. In chemically fueled phase separation, the formation of phase-separating molecules is coupled to a fuel-driven, nonequilibrium reaction cycle. Chemically fueled phase separation yields dissipative structures sustained by a continuous fuel conversion. Such dissipative structures are ubiquitous in biology but poorly understood as they are governed by non-equilibrium thermodynamics. Here, we bridge the gap between passive, close-to-equilibrium, and active, dissipative structures with chemically fueled phase separation. We observe that spherical, active droplets can transition into a new morphology--a liquid, spherical shell of droplet material. A spherical shell would be highly unstable at equilibrium. Only by continuously converting chemical energy, this dissipative structure can be sustained. We demonstrate the transition mechanism, which is related to the activation of a product outside of the droplet, and the deactivation within the droplets leading to gradients of droplet material. We characterize how far out of equilibrium the spherical shell state is and the chemical power necessary to sustain it. Our work suggests new avenues for assembling complex stable morphologies, which might already be exploited to form membraneless organelles by cells.

Plastic waste poses an ecological challenge1. While current plastic waste management largely relies on unsustainable, energy-intensive, or even hazardous physicochemical and mechanical processes, enzymatic degradation offers a green and sustainable route for plastic waste recycling2. Poly(ethylene terephthalate) (PET) has been extensively used in packaging and for the manufacture of fabrics and single-used containers, accounting for 12% of global solid waste3. The practical application of PET hydrolases has been hampered by their lack of robustness and the requirement for high processing temperatures. Here, we use a structure-based, deep learning algorithm to engineer an extremely robust and highly active PET hydrolase. Our best resulting mutant (FAST-PETase: Functional, Active, Stable, and Tolerant PETase) exhibits superior PET-hydrolytic activity relative to both wild-type and engineered alternatives, (including a leaf-branch compost cutinase and its mutant4) and possesses enhanced thermostability and pH tolerance. We demonstrate that whole, untreated, post-consumer PET from 51 different plastic products can all be completely degraded by FAST-PETase within one week, and in as little as 24 hours at 50 {degrees}C. Finally, we demonstrate two paths for closed-loop PET recycling and valorization. First, we re-synthesize virgin PET from the monomers recovered after enzymatic depolymerization. Second, we enable in situ microbially-enabled valorization using a Pseudomonas strain together with FAST-PETase to degrade PET and utilize the evolved monomers as a carbon source for growth and polyhydroxyalkanoate production. Collectively, our results demonstrate the substantial improvements enabled by deep learning and a viable route for enzymatic plastic recycling at the industrial scale.