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Ruff, K. M.

Publications and source records attributed to Ruff, K. M..

At least 19 recordsLinked to original sources

Building synthetic cell-cell synapses using engineered scaffold protein condensates

Synaptic assemblies that form at cell-cell junctions are often organized by multivalent scaffold proteins with condensate forming properties. An emerging hypothesis is that these scaffolds provide a thresholding mechanism whereby small increases in the density of cell-cell recognition receptors can trigger all-or-none assembly selectively at the correct partner cell interface. We test this hypothesis by engineering synthetic scaffolded synapses. Coarse-grained simulations suggest that properly-tuned scaffold interactions can yield a sharp condensation threshold. Guided by these simulations, we designed modular scaffold proteins consisting of PDZ domains and intrinsically disordered regions (IDRs) of different molecular grammars. Within a specific region of parameter space, controlled by valency, receptor binding affinity and IDR-driven condensation, the synthetic scaffold proteins exhibit switch-like condensation behaviors, where co-condensates of receptor and scaffold selectively form only at interfaces with the proper partner cell. Notably, orthogonal receptor-scaffold pairs enable a single receiver cell to form multiple distinct interfaces, each associated with a different partner cell. We demonstrate that these synthetic synapse assemblies can recruit different client proteins to enhance intercellular signaling, orient cell division, or sculpt complex synaptic morphologies. Our results illustrate how the ultrasensitive condensation properties of modular scaffold proteins can be harnessed to create novel and highly specific cell-cell interfaces.

synthetic biology↗

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↗

Distinguishing near- versus off-critical phase behaviors of intrinsically disordered proteins

Intrinsically disordered prion-like low complexity domains (PLCDs) drive phase transitions that underlie the biogenesis of different biomolecular condensates. The mapping of critical points is essential for generating quantitative assessments of driving forces and for distinguishing phase behaviors in the critical versus off-critical regimes. Computations play an important role in connecting the molecular-scale interactions to mesoscale phase behaviors of PLCDs and other intrinsically disordered proteins. We report results from accurate mapping of the critical regime for an archetypal PLCD. This is achieved by combining large-scale simulations with computations of Binder cumulants and the use of rigorous finite-size scaling approaches. The computed binodal, defined by knowledge of the critical point and intersection of the left arm of the binodal by the overlap and percolation lines, can be demarcated into three distinct regimes. Regime I is farthest from the critical point, with the coexisting dilute phase being akin to a gas of dispersed polymers. Regime II lies above the intersection of the overlap line and the dilute arm of the binodal. Here, coexisting dilute phases are characterized by heterogeneous cluster-size distributions with heavy tails. In Regimes I and II, dense phases are confined percolated networks. Regime III is closest to the critical point. Here, the dense phase becomes unconfined and the percolated network swells to become system-spanning. Thus, Regime III comprises two interconnected, system-spanning networks. In addition to accurately mapping the critical point, we also evaluated methods for identifying the theta temperature. We find that conventional scaling approaches lead to erroneously low estimates of the theta temperature. Instead, accurate estimation of the theta temperature requires direct calculation of the temperature dependence of the two-body interaction coefficient. We discuss the broader implications of these findings for inferring solvent quality from scaling analyses.

biophysics↗

ASAP-ID: Proximity labelling with small tags

Biotinylation-based proximity labelling methods are valuable for discovering protein-protein interactions within cellular systems. However, one limitation of these approaches is that most require fusing the target protein with the enzyme that biotinylates nearby proteins (i.e., TurboID or APEX2), which risks sterically disrupting the proteins native function. Here, we present a method designed to reduce the steric impact of these fusions and offer greater flexibility in labelling modalities. The method, Antibody and Small-tag Assembly on Proteins for Interaction Detection (ASAP-ID), involves a bipartite system. Target proteins are fused to a small peptide antigen that recruits TurboID or APEX2 fused to an antibody directed to the antigen. Using two different antigen/antibody systems (SunTag and MoonTag), we show that ASAP-ID can specifically label human Lamin A in cells. The method works when the target protein and nanobody are co-expressed together in cis (ASAP-IDIC). We also demonstrate that the approach works when the antibody fusion is added in trans to fixed cells post-expression (ASAP-IDIT). ASAP-IDIT identified more than 448 known and previously undescribed interactors of lamin. We further used ASAP-IDIT to study how ALS-mutant profilin 1 affected its interactome. The method identified proteins involved in protein quality control that correlated with aggregation propensity. Moreover, the different mutants showed variation in the cellular location where aggregates formed. ASAP-IDIT revealed preferences for mitochondrial proteins for the two profilin mutants that tend to aggregate in the cytoplasm, C71G and M114T, and nuclear proteins for a mutant more prone to nuclear aggregation. These findings position ASAP-ID as a powerful addition to the proximity labelling toolkit, capable of probing subtle differences in interactomes in a less invasive manner.

biochemistry↗

Molecular grammars of intrinsically disordered regions that span the human proteome

Intrinsically disordered regions (IDRs) of proteins are defined by functionally relevant molecular grammars. This refers to IDR-specific non-random amino acid compositions and non-random patterning of distinct pairs of amino acid types. Here, we introduce GIN (Grammars Inferred using NARDINI+) as a resource, which we have used to extract the molecular grammars of all human IDRs and classified them into thirty distinct clusters. Unbiased analyses of IDRome-spanning grammars reveals that specialized IDR grammar features direct biological processes, cellular localization preferences, and molecular functions. IDRs with exceptional grammars, defined as sequences with high-scoring non-random features, are harbored in proteins and complexes that enable spatial and temporal sorting of biochemical activities. Protein complexes within the nucleus recruit specific factors through top-scoring IDRs. These IDRs are frequently disrupted via cancer-associated mutations and fusion oncoproteins. Overall, GIN enables the decoding of sequence-function relationships of IDRs and can be deployed in IDR-specific and IDRome-wide analyses.

bioinformatics↗

Nuclear speckle proteins form intrinsic and MALAT1-dependent microphases

Nuclear speckles are enriched in serine / arginine rich splicing factors (SRSFs), such as SRSF1. Splicing factors and proteins such as TDP-43 concentrate into distinct speckle territories to enable pre-mRNA processing. We have discovered that SRSFs and TDP-43 are block copolymers and the protein-specific interplay of inter-block repulsions and attractions drives spontaneous microphase separation. This gives rise to size-limited, ordered assemblies, that are 30 - 45 nm in diameter. Depending on the protein, each microphase comprises several tens to hundreds of molecules. The sub-micron scale territories observed in cells are shown to be clusters of microphases. The regulatory lncRNA MALAT1 binds preferentially to SRSF1 microphases to enhance microphase separation and alter microphase structures. Microphase separation enables the concentration of finite numbers of splicing factors into assemblies with distinct nanoscale structures that can be modulated by MALAT1. Our findings provide a structural framework for the functional organization of splicing factors.

biophysics↗

Investigating the Functional Role of the DI-DII Linker in Nav1.5 Channel Function

The cardiac voltage-gated sodium channel, Nav1.5 initiates the cardiac action potential. Its dysfunction can lead to dangerous arrhythmias, sudden cardiac arrest, and death. The functional Nav1.5 core consists of four homologous repeats (I, II, III, and IV), each formed from a voltage sensing and a pore domain. The channel also contains three cytoplasmic linkers (I-II, II-III, and III-IV). While Nav1.5 structures have been published, the I-II and II-III linkers have remained absent, are predicted to be disordered, and their functional role is not well understood. We divided the I-II linker into eight regions ranging in size from 32 to 52 residues, chosen based on their distinct properties. Since these regions had unique sequence properties, we hypothesized that they may have distinct effects on channel function. We tested this hypothesis with experiments with individual Nav1.5 constructs with each region deleted. These deletions had small effects on channel gating, though two (430 - 457del and 556 - 607del) reduced peak current. Phylogenetic analysis of the I-II linker revealed five prolines (P627, P628, P637, P640, P648) that were conserved in mammals but absent from the Xenopus sequence. We created mutant channels, where these were replaced with their Xenopus counterparts. The only mutation that had a significant effect on channel gating was P627S, which depolarized channel activation (10.13 +/- 2.28 mV). Neither a phosphosilent (P627A) nor a phosphomimetic (P627E) mutation had a significant effect, suggesting that either phosphorylation or another specific serine property is required. Since deletion of large regions had little effect on channel gating while a point mutation had a conspicuous impact, the I-II linker role may be to facilitate interactions with other proteins. Variants may have a larger impact if they create or disrupt these interactions, which may be key in evaluating pathogenicity of variants.

physiology↗

YAP charge patterning mediates signal integration through transcriptional co-condensates

Transcription factor dynamics are used to selectively engage gene regulatory programs. Biomolecular condensates have emerged as an attractive signaling substrate in this process, but the underlying mechanisms are not well-understood. Here, we probed the molecular basis of YAP signal integration through transcriptional condensates. Leveraging light-sheet single-molecule imaging and synthetic condensates, we demonstrate charge-mediated co-condensation of the transcriptional regulators YAP and Mediator into transcriptionally active condensates in stem cells. IDR sequence analysis and YAP protein engineering demonstrate that instead of the net charge, YAP signaling specificity is established through its negative charge patterning that interacts with Mediators positive charge blocks. The mutual enhancement of YAP/Mediator co-condensation is counteracted by negative feedback from transcription, driving an adaptive transcriptional response that is well-suited for decoding dynamic inputs. Our work reveals a molecular framework for YAP condensate formation and sheds new light on the function of YAP condensates for emergent gene regulatory behavior.

cell biology↗

Driving forces for condensation of synapsin are governed by sequence-encoded molecular grammars

Multiple biomolecular condensates coexist at the pre- and post-synapse to enable vesicle dynamics and controlled neurotransmitter release in the brain. In pre-synapses, intrinsically disordered regions (IDRs) of synaptic proteins are drivers of condensation that enable clustering of synaptic vesicles (SVs). Using computational analysis, we show that the IDRs of SV proteins feature evolutionarily conserved non-random compositional biases and sequence patterns. Synapsin-1 is essential for condensation of SVs, and its C-terminal IDR has been shown to be a key driver of condensation. Focusing on this IDR, we dissected the contributions of two conserved features namely the segregation of polar and proline residues along the linear sequence, and the compositional preference for arginine over lysine. Scrambling the blocks of polar and proline residues weakens the driving forces for forming micron-scale condensates. However, the extent of clustering in subsaturated solutions remains equivalent to that of the wild-type synapsin-1. In contrast, substituting arginine with lysine significantly weakens both the driving forces for condensation and the extent of clustering in subsaturated solutions. Co-expression of the scrambled variant of synapsin-1 with synaptophysin results in a gain-of-function phenotype in cells, whereas arginine to lysine substitutions eliminate condensation. We report an emergent consequence of synapsin-1 condensation, which is the generation of interphase pH gradients realized via differential partitioning of protons between coexisting phases. This pH gradient is likely to be directly relevant for vesicular ATPase functions and the loading of neurotransmitters. Our study highlights how conserved IDR grammars serve as drivers of synapsin-1 condensation. Research HighlightsO_LIDistinct biomolecular condensates formed by pre-synaptic proteins contain a unique bias of sequence grammars within their IDRs. C_LIO_LIThe IDR of synapsin-1, the essential protein for the clustering of synaptic vesicles, has a conserved compositional bias for Arg and blockiness of proline/polar residues. C_LIO_LIUsing sequence designs, we uncovered how conserved sequence features of the driver IDR of synapsin-1 affect condensation in vitro and in cells. C_LIO_LISynapsin-1 condensates are defined by a measurable interphase pH gradient. C_LI

biochemistry↗

Metastable condensates suppress conversion to amyloid fibrils

Stress granules form via co-condensation of RNA-binding proteins containing prion-like low complexity domains (PLCDs) with RNA molecules. Homotypic interactions among PLCDs can drive amyloid fibril formation that is enhanced by ALS-associated mutations. We report that condensation-versus fibril-driving homotypic interactions are separable for A1-LCD, the PLCD of hnRNPA1. Separable interactions lead to thermodynamically metastable condensates and globally stable fibrils. Interiors of condensates suppress fibril formation whereas interfaces have the opposite effect. ALS-associated mutations enhance the stability of fibrils and weaken condensate metastability, thus enhancing the rate of fibril formation. We designed mutations to enhance A1-LCD condensate metastability and discovered that stress granule disassembly in cells can be restored even when the designed variants carry ALS-causing mutations. Therefore, fibril formation can be suppressed by condensate interiors that function as sinks. Condensate sink potentials are influenced by their metastability, which is tunable through separable interactions even among minority components of stress granules.

biophysics↗

SOURSOP: A Python package for the analysis of simulations of intrinsically disordered proteins

Conformational heterogeneity is a defining hallmark of intrinsically disordered proteins and protein regions (IDRs). The functions of IDRs and the emergent cellular phenotypes they control are associated with sequence-specific conformational ensembles. Simulations of conformational ensembles that are based on atomistic and coarse-grained models are routinely used to uncover the sequence-specific interactions that may contribute to IDR functions. These simulations are performed either independently or in conjunction with data from experiments. Functionally relevant features of IDRs can span a range of length scales. Extracting these features requires analysis routines that quantify a range of properties. Here, we describe a new analysis suite SOURSOP, an object-oriented and open-source toolkit designed for the analysis of simulated conformational ensembles of IDRs. SOURSOP implements several analysis routines motivated by principles in polymer physics, offering a unique collection of simple-to-use functions to characterize IDR ensembles. As an extendable framework, SOURSOP supports the development and implementation of new analysis routines that can be easily packaged and shared.

biophysics↗

Dynamical control enables the formation of demixed biomolecular condensates

Macromolecular phase separation underlies the regulated formation and dissolution of biomolecular condensates. What is unclear is how condensates of distinct and shared macromolecular compositions form and coexist within cellular milieus. Here, we use theory and computation to establish thermodynamic criteria that must be satisfied to achieve compositionally distinct condensates. We applied these criteria to an archetypal ribonucleoprotein condensate and discovered that demixing into distinct protein-RNA condensates cannot be the result of purely thermodynamic considerations. Instead, demixed, compositionally distinct condensates arise due to asynchronies in timescales that emerge from differences in long-lived protein-RNA and RNA-RNA crosslinks. This type of dynamical control is also found to be active in live cells whereby asynchronous production of molecules is required for realizing demixed protein-RNA condensates. We find that interactions that exert dynamical control provide a versatile and generalizable way to influence the compositions of coexisting condensates in live cells.

biophysics↗

Uncovering molecular grammars of intrinsically disordered regions that organize nucleolar fibrillar centers

The nucleolus is a multilayered structure. Each layer is thought to be a compositionally distinct phase, although how these phases form and interface with one another remains unclear. Using computational, proteomics, in vitro, and in vivo studies, we uncover distinct molecular grammars within intrinsically disordered regions (IDRs) of nucleolar proteins that localize to fibrillar centers (FCs) and dense fibrillar components (DFCs). FC and DFC proteins feature two distinct types of IDRs namely those with long tracts of acidic residues and those with blocks of lysines interspersed by acid-rich-regions. We find that phase separation driven by complex coacervation in mixtures of nucleolar proteins, with their distinctive IDRs, and ribosomal DNA and RNA molecules is sufficient to drive the formation of structural facsimiles of FCs and DFCs. One-Sentence SummaryFacsimiles of core nucleolar substructures were reconstituted via phase separation of key protein and nucleic acid mixtures.

biophysics↗

Connecting sequence features within the disordered C-terminal linker of B. subtilis FtsZ to function and bacterial cell division

Intrinsically disordered regions (IDRs) can function as autoregulators of folded enzymes to which they are tethered. One example is the bacterial cell division protein, FtsZ. This includes a folded core and a C-terminal tail (CTT) that encompasses a poorly conserved, disordered C-terminal linker (CTL) and a well-conserved 17-residue C-terminal peptide (CT17). Sites for GTPase activity of FtsZs are formed at the interface between GTP binding sites and T7 loops on cores of adjacent subunits within dimers. Here, we explore the basis of autoregulatory functions of the CTT in Bacillus subtilis FtsZ (Bs-FtsZ). Molecular simulations show that the CT17 of Bs- FtsZ makes statistically significant CTL-mediated contacts with the T7 loop. Statistical Coupling Analysis of more than 103 sequences from FtsZ orthologs reveals clear covariation of the T7 loop and the CT17 with most of the core domain whereas the CTL is under independent selection. Despite this, we discover the conservation of non-random sequence patterns within CTLs across orthologs. To test how the non-random patterns of CTLs mediate CTT-core interactions and modulate FtsZ functionalities, we designed Bs-FtsZ variants by altering the patterning of oppositely charged residues within the CTL. Such alterations disrupt the core-CTT interactions, lead to anomalous assembly and inefficient GTP hydrolysis in vitro and protein degradation, aberrant assembly, and disruption of cell division in vivo. Our findings suggest that viable CTLs in FtsZs are likely to be IDRs that encompass non-random, functionally relevant sequence patterns that also preserve three-way covariation of the CT17, the T7 loop, and core domain. Significance StatementZ-ring formation by the protein FtsZ controls cell division in rod-shaped bacteria. The C-terminus of FtsZ encompasses a disordered C-terminal linker (CTL) and a conserved CT17 motif. Both modules are essential for Z-ring formation and proper localization of FtsZ in cells. Previous studies suggested that generic intrinsically disordered regions (IDRs) might be suitable functional replacements for naturally occurring CTLs. Contrary to this suggestion, we find that the sequence-encoded conformational properties of CTLs help mediate autoregulatory interactions between covarying regions within FtsZ. Functional properties of the CTL are encoded via evolutionarily conserved, non-random sequence patterns. Disruption of these patterns impair molecular functions and cellular phenotypes. Our findings have broad implications for discovering functionally consequential sequence features within IDRs of other proteins.

biophysics↗

Competing interactions give rise to two-state behavior and switch-like transitions in charge-rich intrinsically disordered proteins

The most commonly occurring intrinsically disordered proteins (IDPs) are polyampholytes, which are defined by the duality of low net charge per residue and high fractions of charged residues. Recent experiments have uncovered nuances regarding sequence-ensemble relationships of model polyampholytic IDPs. These include differences in conformational preferences for sequences with lysine vs. arginine, and the suggestion that well-mixed sequences form a range of conformations, including globules, conformations with ensemble averages that are reminiscent of ideal chains, or self-avoiding walks. Here, we explain these observations by analyzing results from atomistic simulations. We find that polyampholytic IDPs generally sample two distinct stable states, namely globules and self-avoiding walks. Globules are favored by electrostatic attractions between oppositely charged residues, whereas self-avoiding walks are favored by favorable free energies of hydration of charged residues. We find sequence-specific temperatures of bistability at which globules and self-avoiding walks can coexist. At these temperatures, ensemble averages over coexisting states give rise to statistics that resemble ideal chains without there being an actual counterbalancing of intra-chain and chain-solvent interactions. At equivalent temperatures, arginine-rich sequences tilt the preference toward globular conformations whereas lysine-rich sequences tilt the preference toward self-avoiding walks. We also identify differences between aspartate and glutamate containing sequences, whereby the shorter aspartate sidechain engenders preferences for metastable, necklace-like conformations. Finally, although segregation of oppositely charged residues within the linear sequence maintains the overall two-state behavior, compact states are highly favored by such systems. Significance StatementIntrinsically disordered regions (IDRs) of proteins, when tethered to folded domains, function either as flexible tails or as linkers between domains. Most IDRs are polyampholytes that comprise a mixture of oppositely charged residues. Recent measurements of tethered polyampholytes showed that tendency of arginine- and lysine-rich sequences to behave very differently from one another. Using computer simulations, we show that these differences are determined by differences in free energies of hydration, steric volumes, and other considerations. Further, the interplay between electrostatic attractions and favorable free energies of hydration creates distinct stable states for polyampholytic IDRs. These findings have implications for switch-like transitions and the regulation of effective concentrations of interaction motifs by IDRs.

biophysics↗

Sequence grammar underlying unfolding and phase separation of globular proteins

Aberrant phase separation of globular proteins is associated with many diseases. Here, we use a model protein system to understand how unfolded states of globular proteins drive phase separation and the formation of unfolded protein deposits (UPODs). For UPODs to form, the concentrations of unfolded molecules must be above a threshold value. Additionally, unfolded molecules must possess appropriate sequence grammars to drive phase separation. While UPODs recruit molecular chaperones, their compositional profiles are also influenced by synergistic physicochemical interactions governed by the sequence grammars of unfolded proteins and sequence features of cellular proteins. Overall, we find that the driving forces for phase separation and the compositional profiles of UPODs are governed by the sequence grammar of unfolded proteins. Our studies highlight the need for uncovering the sequence grammars of unfolded proteins that drive UPOD formation and lead to gain-of-function interactions whereby proteins are aberrantly recruited into UPODs. HighlightsO_LIUnfolded states of globular proteins phase separate to form UPODs in cells C_LIO_LIThe fraction of unfolded molecules and the sticker grammar govern phase separation C_LIO_LIHydrophobic residues act as stickers that engage in intermolecular interactions C_LIO_LISticker grammar also influences gain-of-function recruitment into aberrant UPODs C_LI

biophysics↗

Mechanistic inferences from analysis of measurements of protein phase transitions in live cells

The combination of phase separation and disorder-to-order transitions can give rise to ordered, semi-crystalline fibrillar assemblies that underlie prion phenomena namely, the non-Mendelian transfer of information across cells. Recently, a method known as Distributed Amphifluoric Forster Resonance Energy Transfer (DAmFRET) was developed to study the convolution of phase separation and disorder-to-order transitions in live cells. In this assay, a protein of interest is expressed to a broad range of concentrations and the acquisition of local density and order, measured by changes in FRET, is used to map phase transitions for different proteins. The high-throughput nature of this assay affords the promise of uncovering sequence-to-phase behavior relationships in live cells. Here, we report the development of a supervised method to obtain automated and accurate classifications of phase transitions quantified using the DAmFRET assay. Systems that we classify as undergoing two-state discontinuous transitions are consistent with prion-like behaviors, although the converse is not always true. We uncover well-established and surprising new sequence features that contribute to two-state phase behavior of prion-like domains. Additionally, our method enables quantitative, comparative assessments of sequence-specific driving forces for phase transitions in live cells. Finally, we demonstrate that a modest augmentation of DAmFRET measurements, specifically time-dependent protein expression profiles, can allow one to apply classical nucleation theory to extract sequence-specific lower bounds on the probability of nucleating ordered assemblies. Taken together, our approaches lead to a useful analysis pipeline that enables the extraction of mechanistic inferences regarding phase transitions in live cells.

biophysics↗

Ligand Effects on Phase Separation of Multivalent Macromolecules

Biomolecular condensates enable spatial and temporal control over cellular processes by concentrating biomolecules into non-stoichiometric assemblies. Many condensates form via reversible phase transitions of condensate-specific multivalent macromolecules known as scaffolds. Phase transitions of scaffolds can be regulated by changing the concentrations of ligands, which are defined as non-scaffold molecules that bind to specific sites on scaffolds. Here, we use theory and computation to uncover rules that underlie ligand-mediated control over scaffold phase behavior. We use the stickers-and-spacers model wherein reversible non-covalent crosslinks among stickers drive phase transitions of scaffolds, and spacers modulate the driving forces for phase transitions. We find that the modulatory effects of ligands are governed by: the valence of ligands; whether they bind directly to stickers versus spacers; and the relative affinities of ligand-scaffold versus scaffold-scaffold interactions. In general, all ligands have a diluting effect on the concentration of scaffolds within condensates. Whereas monovalent ligands destabilize condensates, multivalent ligands can stabilize condensates by binding directly to spacers or destabilize condensates by binding directly to stickers. Bipartite ligands that bind to stickers and spacers can alter the structural organization of scaffold molecules within condensates even when they have a null effect on condensate stability. Our work highlights the importance of measuring dilute phase concentrations of scaffolds as a function of ligand concentration in cells. This can reveal whether ligands modulate scaffold phase behavior by enabling or suppressing phase separation at endogeneous levels thereby regulating the formation and dissolution of condensates in vivo. SignificancePhase transitions of multivalent macromolecules known as scaffolds help drive the formation of functional biomolecular condensates in cells. The formation and dissolution of condensates is tightly regulated, as aberrant phase behavior is associated with disease. Here, we show that distinct types of ligands can exert control over the formation and dissolution of condensates by binding to distinct sites on scaffold molecules. We further show that the extent and direction of regulation can be inferred through direct measurements of how ligands impact scaffold phase boundaries. Our findings have broad implications for understanding and modeling ligand-mediated regulation of condensates in cells, and for designing novel molecules that exert regulatory control over condensates.

biophysics↗