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<journal-id journal-id-type="publisher-id">Front. Cell Dev. Biol.</journal-id>
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<journal-title>Frontiers in Cell and Developmental Biology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell Dev. Biol.</abbrev-journal-title>
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<issn pub-type="epub">2296-634X</issn>
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<article-id pub-id-type="publisher-id">1759561</article-id>
<article-id pub-id-type="doi">10.3389/fcell.2026.1759561</article-id>
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<subject>Review</subject>
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<title-group>
<article-title>The regulatory principles, physiological functions, and phase transition of biomolecular condensates</article-title>
<alt-title alt-title-type="left-running-head">Li et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fcell.2026.1759561">10.3389/fcell.2026.1759561</ext-link>
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<name>
<surname>Li</surname>
<given-names>Qingxiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<sup>2</sup>
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<surname>Jiang</surname>
<given-names>Yan</given-names>
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<name>
<surname>Chen</surname>
<given-names>Yan</given-names>
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<sup>1</sup>
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<sup>2</sup>
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<aff id="aff1">
<label>1</label>
<institution>Department of Pediatrics, Affiliated Hospital of Zunyi Medical University</institution>, <city>Zunyi</city>, <country country="CN">China</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Guizhou Children&#x2019;s Hospital</institution>, <city>Zunyi</city>, <country country="CN">China</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Yan Chen, <email xlink:href="mailto:yanchen@zmu.edu.cn">yanchen@zmu.edu.cn</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-21">
<day>21</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>14</volume>
<elocation-id>1759561</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>01</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Li, Jiang and Chen.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Li, Jiang and Chen</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-21">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Liquid-liquid phase separation (LLPS) is a crucial process that influences the spatial organization of cells. Dysregulation of this process can contribute to serious adverse outcomes, including neurodegenerative diseases, developmental disorders, and impaired immune responses. While various studies have explored how factors like physicochemical properties, molecular structures, and post-translational modifications (PTMs) affect the formation of condensates, current knowledge remains fragmented and lacks a cohesive framework. This review aims to systematically compile the principles regulating LLPS, focusing on the interplay between physico-chemical parameters, PTMs, and molecular sequence characteristics. Building on this foundation, we will also examine the significance of physiological phase separation and its connection to pathological phase transitions, such as the conversion from a liquid to a solid state.</p>
</abstract>
<kwd-group>
<kwd>biomolecular condensates</kwd>
<kwd>cellular organization</kwd>
<kwd>liquid&#x2013;liquid phase separation (LLPS)</kwd>
<kwd>molecular determinants</kwd>
<kwd>pathological phase transition</kwd>
<kwd>physicochemical regulation</kwd>
<kwd>post-translational modifications</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study was supported by the National Natural Science Foundation joint fund project (U23A20498) and the Guizhou Provincial Program on Commercialization of Scientific and Technological Achievements (QKHCG (2024)ZD012).</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="136"/>
<page-count count="16"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cellular Biochemistry</meta-value>
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</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>Liquid&#x2013;liquid phase separation (LLPS) has emerged as a transformative concept for elucidating subcellular compartmentalization through the dynamic formation of membrane-less organelles (<xref ref-type="bibr" rid="B8">Banani et al., 2017</xref>). Although the nucleolus was first identified as a liquid-like structure as early as 1898 (<xref ref-type="bibr" rid="B80">Montgomery, 1898</xref>) and early microscopic observations had documented the assembly of bio-macromolecular condensates (<xref ref-type="bibr" rid="B80">Montgomery, 1898</xref>), the molecular underpinnings of membrane-less organelles remained poorly understood until Brangwynne and colleagues revealed that P granules in <italic>C. elegans</italic> exhibit liquid-phase separation behavior (<xref ref-type="bibr" rid="B13">Brangwynne et al., 2009</xref>). In 2017, <xref ref-type="bibr" rid="B8">Banani et al. (2017)</xref> unified these diverse phenomena under the single, physicochemical concept of &#x201c;Biomolecular Condensates.&#x201d; By forming microenvironments with a specific composition and unique reaction kinetics, LLPS enables precise spatiotemporal control over biochemical reactions. This allows it to regulate diverse cellular processes such as mRNA metabolism, gene transcription, stress-responsive signaling, and protein quality control (<xref ref-type="bibr" rid="B2">Al-Husini et al., 2020</xref>; <xref ref-type="bibr" rid="B67">Liu et al., 2024</xref>; <xref ref-type="bibr" rid="B93">Protter and Parker, 2016</xref>; <xref ref-type="bibr" rid="B108">Sun et al., 2018</xref>; <xref ref-type="bibr" rid="B136">Zhou et al., 2019</xref>). For instance, microbial RNP condensates (BR-bodies) represent biomolecular condensates that concentrate RNA degradosome machinery. They act as platforms that enrich long, poorly translated mRNAs, sRNAs, and antisense RNAs to drive partial mRNA degradation, thereby preventing the buildup of toxic intermediates generated by endonucleolytic cleavage (<xref ref-type="bibr" rid="B2">Al-Husini et al., 2020</xref>). In addition,the ability of LLPS to compartmentalize transcriptional components also underlies its role in dynamic gene regulation. By concentrating coactivators and core machinery into biomolecular condensates, phase separation enables rapid and reversible control of transcription (<xref ref-type="bibr" rid="B101">Sabari et al., 2018</xref>). However, its dysregulation is also linked to severe pathological outcomes, including abnormal embryogenesis, immune dysfunction, and neurodegenerative protein aggregation (<xref ref-type="bibr" rid="B65">Lipi&#x144;ski et al., 2022</xref>; <xref ref-type="bibr" rid="B70">Meng et al., 2025</xref>; <xref ref-type="bibr" rid="B96">Qin et al., 2022</xref>). Mechanistically, LLPS is driven by a competition between intermolecular interactions and hydration. When attractive forces between molecules supersede their interactions with water, the system undergoes demixing, forming dilute and condensed phases (<xref ref-type="bibr" rid="B57">Kumaraswamy, 2017</xref>); The resulting condensates act as biochemical compartments that concentrate reactants and sharpen reaction thresholds (<xref ref-type="bibr" rid="B35">Goetz and Mahamid, 2020</xref>; <xref ref-type="bibr" rid="B40">Hyman and Simons, 2012</xref>). Despite significant progress over the past few decades in identifying diverse regulators of liquid-liquid phase separation (LLPS), the existing literature remains fragmented. There is a notable absence of comprehensive reviews that systematically integrate regulatory principles across different scales, encompassing physicochemical inputs, molecular features, and post-translational modifications. This fragmentation limits our ability to form a coherent model for the controlled assembly and functional modulation of condensates. To address this, our review synthesizes current knowledge through the physical principles of the Flory-Huggins model, with an overarching framework illustrated in <xref ref-type="fig" rid="F1">Figure 1</xref>. We systematically examine how environmental conditions influence phase boundaries; how PTMs alter valency and charge distribution; and how sequence-encoded features govern selective partitioning and mixing behavior. These insights are then connected to functional roles in genome organization, RNA processing, stress response, and proteostasis. We also discuss the physiological regulation of condensate dynamics and how disease mutations disrupt normal phase behavior, thereby revealing potential opportunities for therapeutic intervention through multi-factor modulation.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>The regulation, assembly, and physiological and pathological functions of biomolecular condensates. This framework illustrates how biomolecular condensates, emerging from multivalent interactions and described by physical principles like the Flory-Huggins model, are tuned by the cellular environment, post-translational modifications (PTMs), and active interventions. This precise regulation enables their diverse functions in genome organization, RNA metabolism, and proteostasis. The dysregulation of this cycle&#x2014;through mutation, imbalanced PTMs, or environmental stress&#x2014;drives a pathogenic transition from dynamic liquids to solid-like aggregates, underpinning numerous human diseases.</p>
</caption>
<graphic xlink:href="fcell-14-1759561-g001.tif">
<alt-text content-type="machine-generated">Diagram titled &#x22;Tunable Condensates: Regulation, Function and Disease&#x22; featuring a central cell-like illustration with arrows pointing towards categories: PTM Regulation of LLPS, Molecular Drivers, Environmental Factors, Biological Functions, Physical Basis, and Pathological Transition. Each category contains bulleted details on mechanisms, roles, and processes related to the regulation and effects of tunable condensates.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2">
<label>2</label>
<title>Core determinants of bio-molecular condensates</title>
<sec id="s2-1">
<label>2.1</label>
<title>Thermodynamic basis and physicochemical regulation of LLPS</title>
<p>Phase separation minimizes the free energy of a system by partitioning it into two distinct phases. Within the framework of Flory-Huggins theory, the stability of these phases is governed by the balance between the entropy of mixing and the enthalpy of interaction (<xref ref-type="bibr" rid="B30">Flory, 1942</xref>; <xref ref-type="bibr" rid="B39">Huggins, 1942</xref>; <xref ref-type="bibr" rid="B41">Hyman et al., 2014</xref>); The Flory-Huggins theory determines the thermodynamic behavior of a system through the &#x3c7; parameter, which measures the net difference between solvent and intermolecular interactions. When &#x3c7; is negative, affinity dominates and the system remains a homogeneous single phase; at &#x3c7; &#x3d; 0, the system behaves as an ideal mixture driven solely by entropy; when &#x3c7; is positive, effective repulsion exists, and phase separation occurs when the concentration exceeds a critical saturation concentration Csat, forming a dilute phase Csat and a dense phase (c_dense) with distinct compositions, between which chemical potential and osmotic pressure equilibria are established (<xref ref-type="bibr" rid="B76">Mittag and Pappu, 2022</xref>; <xref ref-type="bibr" rid="B132">Zeng et al., 2020</xref>). Phase separation occurs when net attractive intermolecular forces (enthalpic contribution) exceed a critical threshold, thereby overcoming the entropic drive toward a homogeneous mixture (<xref ref-type="bibr" rid="B30">Flory, 1942</xref>; <xref ref-type="bibr" rid="B39">Huggins, 1942</xref>; <xref ref-type="bibr" rid="B41">Hyman et al., 2014</xref>). Determining if a condensate arises from phase separation hinges on satisfying specific conditions. First, a mesoscopic density transition, occurring at scales vastly larger than molecular sizes, must be evident. This is a prerequisite. To then confirm phase separation as the underlying mechanism and the condensate as a coherent thermodynamic phase, two pivotal questions must be addressed: (i) whether the internal density of core components markedly differs from the surroundings, and (ii) whether the observed density fluctuations, resulting from dynamic exchange, match the theoretical expectations based on molecular properties (<xref ref-type="bibr" rid="B76">Mittag and Pappu, 2022</xref>). Critically, key cellularly relevant conditions, namely, concentration, temperature, pH, and ionic strength, function as central governing elements that tune this energetic balance by effectively modulating the local &#x3c7; parameter (<xref ref-type="bibr" rid="B30">Flory, 1942</xref>; <xref ref-type="bibr" rid="B39">Huggins, 1942</xref>; <xref ref-type="bibr" rid="B41">Hyman et al., 2014</xref>; <xref ref-type="bibr" rid="B56">Krainer et al., 2021</xref>).</p>
<sec id="s2-1-1">
<label>2.1.1</label>
<title>Concentration</title>
<p>The critical saturation concentration (Csat) serves as a key parameter in thermodynamic modeling of phase separation, quantitatively defining the concentration threshold required for this process to occur. At thermodynamic equilibrium (coexistence), the concentrations of the coexisting phases correspond to the conjugate points on the binodal boundary of the free energy curve, which arises from the interplay between intermolecular forces and solvation effects (<xref ref-type="bibr" rid="B8">Banani et al., 2017</xref>; <xref ref-type="bibr" rid="B57">Kumaraswamy, 2017</xref>). Physically, Csat represents the concentration of the dilute phase at this boundary. Its value is governed by the overall interaction strength within the system, as quantified by the Flory-Huggins parameter &#x3c7;: stronger attractive interactions lead to a lower Csat. This relationship is further supported by studies using engineered intrinsically disordered proteins, where increased hydrophobicity significantly reduces the concentration required for phase separation (<xref ref-type="bibr" rid="B26">Dzuricky et al., 2020</xref>). Once the total concentration surpasses Csat, multivalent interactions drive rapid phase separation, resulting in a stable multiphase system; below this threshold, the system remains homogeneous (<xref ref-type="bibr" rid="B4">Alberti et al., 2019</xref>). Csat is not merely a passive observable but an actively encoded regulatory hub determined by molecular properties. Lin et al. identified Csat as a crucial quantitative threshold for phase separation, demonstrating that it is intrinsically encoded in the &#x201c;molecular grammar&#x201d; of sequence information and can be enhanced through multivalent interactions (<xref ref-type="bibr" rid="B118">Wang et al., 2018</xref>). Consistent with this, <xref ref-type="bibr" rid="B26">Dzuricky et al. (2020)</xref> showed that Csat can be rationally programmed <italic>via</italic> sequence design, enabling predictive control over condensate formation both <italic>in vitro</italic> and <italic>in vivo</italic> (<xref ref-type="bibr" rid="B26">Dzuricky et al., 2020</xref>). These findings suggest that biological systems achieve precise spatiotemporal control of phase separation by evolutionarily tuning Csat through sequence-specific interactions. Functionally, the sharp concentration dependence mediated by Csat enables switch-like regulation of cellular processes. For instance, Li et al. reported that N-WASP&#x394;-induced activation of the Arp2/3 complex exhibits a nonlinear, threshold response at approximately 1,000&#xa0;nM (<xref ref-type="bibr" rid="B61">Li et al., 2012</xref>). This example underscores a fundamental principle of biomolecular condensates: their assembly and functionality depend on a tightly regulated concentration window, with Csat serving as the central determinant of this switch-like behavior.</p>
</sec>
<sec id="s2-1-2">
<label>2.1.2</label>
<title>Temperature</title>
<p>Temperature represents a fundamental physical factor in the regulation of liquid&#x2013;liquid phase separation (LLPS). The entropy-enthalpy trade-off directly dictates the resulting phase behavior. From a thermodynamic perspective, the mixing free energy &#x394;G &#x3d; &#x394;H&#x2013;T&#x394;S shows that temperature (T) amplifies the entropic contribution (&#x2013;T&#x394;S) while also influencing the enthalpic term (&#x394;H), thereby capable of reversing the tendency for phase separation (<xref ref-type="bibr" rid="B30">Flory, 1942</xref>; <xref ref-type="bibr" rid="B39">Huggins, 1942</xref>; <xref ref-type="bibr" rid="B41">Hyman et al., 2014</xref>). Two classic temperature-dependent patterns emerge: lower critical solution temperature (LCST)-type phase separation occurs at elevated temperatures. The dominant mechanism is hydrophobic interaction, which is entropy-driven: higher temperatures enhance the disorder of water molecules, promoting the aggregation of hydrophobic groups to reduce interfacial area. This LCST behavior is exemplified in engineered systems; for instance, <xref ref-type="bibr" rid="B26">Dzuricky et al. (2020)</xref> designed artificial intrinsically disordered proteins (IDPs) that undergo LLPS only above a tunable LCST, demonstrating how sequence-encoded hydrophobicity can be harnessed to create thermoresponsive condensates. Upper critical solution temperature (UCST)-type phase separation takes place at lower temperatures. This is typically governed by enthalpy-driven interactions such as hydrogen bonding or aromatic stacking, which become favorable under cooler conditions and drive molecular association (<xref ref-type="bibr" rid="B26">Dzuricky et al., 2020</xref>; <xref ref-type="bibr" rid="B22">Dignon et al., 2019</xref>); This principle is reflected in biological systems. For example, the human heat shock factor 1 (HSF1) forms stress-induced nuclear condensates under heat shock that exhibit temperature sensitivity consistent with LCST-type regulation, illustrating how cells exploit thermally responsive phase separation for physiological adaptation (<xref ref-type="bibr" rid="B99">Ren et al., 2025</xref>). Notably, the study by <xref ref-type="bibr" rid="B26">Dzuricky et al. (2020)</xref> further showed that the LCST of synthetic condensates could be precisely tuned by varying the fraction of hydrophilic residues, offering a design strategy for engineering organelles with programmable thermal responsiveness. Moreover, temperature can drive not only monotonic phase transitions but also multistate or reentrant phase separation. In RNA&#x2013;polycation assemblies, the mixture remains homogeneous at low temperatures due to electrostatic attraction, undergoes phase separation at intermediate temperatures driven by dehydration entropy, and redissolves at high temperatures as a consequence of ionic screening (<xref ref-type="bibr" rid="B94">Pullara et al., 2022</xref>). This multiphase behavior shows that temperature-driven transitions are not controlled by one simple mechanism. Instead, they result from a dynamic rebalancing of molecular interactions. As the temperature changes, the importance of electrostatic, hydrophobic, and hydration forces shifts. This sequential change in their relative weights creates the complex shapes seen in phase diagrams.</p>
</sec>
<sec id="s2-1-3">
<label>2.1.3</label>
<title>pH</title>
<p>pH stands as a pivotal environmental cue for regulating liquid-liquid phase separation (LLPS), exerting its effects by precisely tuning the protonation states of ionizable amino acid residues. This alteration redistributes net molecular charges, modulates conformational dynamics, and ultimately reshapes the interaction landscapes that drive condensation. A canonical pattern observed across numerous systems is that mild acidification often promotes LLPS by neutralizing negative charges and exposing hydrophobic patches, whereas alkaline conditions tend to suppress it by enhancing electrostatic repulsion (<xref ref-type="bibr" rid="B23">Doshi et al., 2025</xref>; <xref ref-type="bibr" rid="B107">Srivastav et al., 2020</xref>). The mechanism is elegantly exemplified by histidine residues, which function as naturally evolved molecular switches due to their protonation sensitivity near physiological pH (pKa &#x223c;6.0&#x2013;7.0). Gradual protonation within the pH range of 6.0&#x2013;8.0 can dramatically shift LLPS thresholds, effectively tuning the critical saturation concentration and the material properties of the resulting condensates (<xref ref-type="bibr" rid="B47">Jeon et al., 2025</xref>; <xref ref-type="bibr" rid="B53">Kim et al., 2024</xref>). This sensitivity operates not as a simple binary on/off switch, but rather as a continuous tuning mechanism, allowing cells to convert subtle pH changes into sharp, switch-like transitions in phase behavior. Notably, the relationship between pH and LLPS is not unidirectional but often constitutes a bidirectional regulatory loop. A compelling <italic>in vivo</italic> example is the nucleolus, where phase-separated condensates themselves act as proton buffers. They establish and maintain an intrinsic pH gradient between the fibrillar center/dense fibrillar component (FC/DFC) and the surrounding nucleoplasm. This spatially constrained, self-generated pH differential is not a passive byproduct but actively promotes selective molecular partitioning and directional trafficking (<xref ref-type="bibr" rid="B1">Adame-Arana et al., 2020</xref>). This reveals a profound feedback mechanism: phase-separated compartments can actively sculpt their local physicochemical environment, which in turn reinforces their composition and functional identity, positioning LLPS as an active driver of spatial and metabolic homeostasis.</p>
</sec>
<sec id="s2-1-4">
<label>2.1.4</label>
<title>Ion</title>
<p>Ions regulate protein phase separation dependent on the concentration and specific chemical properties, such as those described by the Hofmeister series. For example, Krainer and colleagues observed that the FUS protein phase-separates at low salt concentrations, forms a homogeneous solution at intermediate concentrations, and re-enters a phase-separated state at very high concentrations. The mechanism involves a shift from co-dominant electrostatic and hydrophobic interactions at low salt to a regime where high salt screens electrostatic forces, allowing hydrophobic and non-ionic interactions to dominate, which is accordance with Hofmeister series (as seen in <xref ref-type="fig" rid="F2">Figure 2A</xref>) (<xref ref-type="bibr" rid="B56">Krainer et al., 2021</xref>). Additionally, ion size also critically influences phase behavior, even at a constant low concentration. Smaller ions like Cl<sup>&#x2212;</sup> tend to remain in the bulk solvent, whereas larger, weakly hydrated ions like I<sup>&#x2212;</sup> can approach the protein surface more closely. This proximity enhances local electrostatic screening, increasing their efficacy in promoting phase separation (salting-out). At high salt concentrations, where electrostatic interactions are fully suppressed, phase behavior is governed by a competition between ion solvation energy and translational entropy. Small, highly charged ions with strong hydration (e.g., Cl<sup>&#x2212;</sup>, SO<sub>4</sub>
<sup>2&#x2212;</sup>) favor salting-out due to high solvation energy. Conversely, large, weakly hydrated ions with low charge density (e.g., SCN<sup>&#x2212;</sup>, ClO<sub>4</sub>
<sup>&#x2212;</sup>) promote salting-in, driven by translational entropy and possible specific adsorption&#x2014;behavior that aligns with the classic direct Hofmeister series (as seen in <xref ref-type="fig" rid="F2">Figure 2B</xref>) (<xref ref-type="bibr" rid="B25">Duan and Wang, 2024</xref>). Moreover, beyond altering phase boundaries, ions can selectively partition into condensates to tune internal properties like interfacial tension and polarity (<xref ref-type="bibr" rid="B137">Zhu et al., 2024</xref>). In addition, specific ion binding such as Mg<sup>2&#x2b;</sup> or Zn<sup>2&#x2b;</sup> introduces a distinct layer of control. These ions coordinate with residues like histidines, acting as selective crosslinkers to stabilize or dissolve condensates independently of classical Hofmeister trends (<xref ref-type="bibr" rid="B106">So&#x142;tys et al., 2023</xref>). Finally, such ionic perturbations carry functional and pathological relevance: for instance, they can drive liquid-to-solid transitions in disease-associated condensates (e.g., Tau protein aggregates), directly linking ion regulation to neurotoxic aggregation (<xref ref-type="bibr" rid="B50">Jonchhe et al., 2022</xref>). This underscores a direct mechanistic link between ion-specific regulation and disease-associated protein aggregation.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Regulation of phase separation by salt concentration and ion specificity. <bold>(A)</bold> The phase behavior of FUS is modulated by salt concentration: phase separation at low salt (mediated by electrostatic and hydrophobic interactions), dissolution at intermediate salt (due to electrostatic screening), and re-entrant phase separation at high salt (dominated by hydrophobic forces). The figure was adapted from the work of <xref ref-type="bibr" rid="B56">Krainer et al. (2021)</xref>. <bold>(B)</bold> Ion-specific (Hofmeister) regulation mechanism: At low salt concentrations, small, strongly hydrated ions (e.g., Cl<sup>&#x2212;</sup>) remain in the bulk solvent, while large, weakly hydrated ions (e.g., I<sup>&#x2212;</sup>) approach the protein surface more closely, enhancing local electrostatic screening and promoting salting-out. At high salt concentrations, with electrostatics suppressed, phase behavior is governed by a competition between ion solvation energy and translational entropy. The figure was adapted from the work of <xref ref-type="bibr" rid="B25">Duan and Wang (2024)</xref>.</p>
</caption>
<graphic xlink:href="fcell-14-1759561-g002.tif">
<alt-text content-type="machine-generated">Diagram showing two panels labeled A and B. Panel A illustrates protein, ion, and water interactions at different salt concentrations: intermediate salt with dispersed proteins, low salt with electrostatic interactions, and high salt with hydrophobic interactions. Panel B compares small and large anion effects: small anions show weak screening at low salt, while large anions show strong screening. The processes of salting out and in are depicted, highlighting solvation dominance at high salt and entropy dominance at low salt.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s2-2">
<label>2.2</label>
<title>Structural and sequence features driving LLPS</title>
<p>While macroscopic parameters system-wide provide permissive conditions, the sequence-specific molecular determinants ultimately govern the propensity and properties of phase separation. This function is exclusive to a subset of proteins capable of physiological LLPS, conferred by multivalent interaction modules and/or IDRs.</p>
<sec id="s2-2-1">
<label>2.2.1</label>
<title>Multivalency-driven LLPS</title>
<p>Multivalency, enabled by repetitive folded domains (e.g., SH3, PDZ, coiled-coil) or short linear motifs (SLiMs; e.g., PRMs, RG/RGG), drives the formation of system-spanning interaction networks when the effective valency-affinity product exceeds a critical threshold. This network percolation shifts the phase boundary and lowers the saturation concentration (c<sub>sat</sub>),as exemplified in reconstituted systems like the Nephrin&#x2013;NCK&#x2013;N-WASP axis, where increasing SH3&#x2013;PRM and SH2&#x2013;pTyr interactions non-linearly promotes phase separation, consistent with percolation theory (<xref ref-type="bibr" rid="B8">Banani et al., 2017</xref>; <xref ref-type="bibr" rid="B7">Banani et al., 2016</xref>; <xref ref-type="bibr" rid="B9">Banjade and Rosen, 2014</xref>; <xref ref-type="bibr" rid="B10">Banjade et al., 2015</xref>; <xref ref-type="bibr" rid="B61">Li et al., 2012</xref>). Beyond intrinsic modularity, effective valence can be increased by oligomerization or by post-translational modifications that multiply binding sites. For example, G3BP1 dimerization <italic>via</italic> its NTF2-like domain expands RNA-binding capacity and strengthens RNA-driven phase separation (<xref ref-type="bibr" rid="B128">Yang et al., 2020</xref>), while pentamerization of NPM1&#x2019;s N-terminal oligomerization domain arrays the A1/A2 acidic tracts to selectively engage partners bearing &#x2265;2 arginine-rich R-motifs, thereby promoting condensation (<xref ref-type="bibr" rid="B74">Mitrea et al., 2016</xref>). However, this theoretical model often oversimplifies the dynamic complexity of biological systems, such as the neglect of cellular crowding effects and kinetic variables. Additionally, polyubiquitin chains encode tunable multivalency through linkage and length, engaging receptors such as p62 or RAD23B to assemble degradative condensates (<xref ref-type="bibr" rid="B108">Sun et al., 2018</xref>; <xref ref-type="bibr" rid="B129">Yasuda et al., 2020</xref>). This tunability of multivalency is not merely a mechanism for initiating phase separation, but more importantly, it provides the fundamental basis for organizing biomolecules within condensates according to their valence and interaction specificity. Consistent with this organizational principle, the scaffold&#x2013;client model posits that multivalent scaffolds self-associate to build the structural and chemical core, while clients are recruited through unoccupied, physicochemically compatible sites on the scaffold (<xref ref-type="bibr" rid="B7">Banani et al., 2016</xref>).</p>
</sec>
<sec id="s2-2-2">
<label>2.2.2</label>
<title>Intrinsically disordered regions regulated LLPS</title>
<sec id="s2-2-2-1">
<label>2.2.2.1</label>
<title>Molecular basis of IDR-driven phase separation</title>
<p>Intrinsically disordered regions (IDRs) are key building blocks of biomolecular condensates, yet <italic>disorder per se</italic> is insufficient to drive phase separation. IDRs function conforms to the sticker&#x2013;spacer theory: modular sticker motifs mediate multivalent, weak interactions, while flexible spacers supply conformational entropy to sustain liquid-like dynamics (<xref ref-type="bibr" rid="B68">Martin et al., 2020</xref>). This behavior is encoded by low-complexity sequences (LCRs) enriched for charged (R/K; D/E), polar (G/Q/N/S), and aromatic (Y/F) residues that frequently appear as short repeats (e.g., YG/S-, RG-, SY), furnishing targets for multivalent contacts (<xref ref-type="bibr" rid="B85">Nott et al., 2015</xref>; <xref ref-type="bibr" rid="B97">Ravindran et al., 2023</xref>).</p>
</sec>
<sec id="s2-2-2-2">
<label>2.2.2.2</label>
<title>IDR sequence-encoded regulation of condensate dynamics</title>
<p>IDRs do not rely on a single force; instead, they deploy a portfolio of weak, short-range interactions&#x2014;electrostatic, hydrophobic, cation&#x2013;&#x3c0;, &#x3c0;&#x2013;&#x3c0;/sp<sup>2</sup>&#x2013;&#x3c0;, and hydrogen bonding&#x2014;that act in parallel to nucleate and stabilize condensates (<xref ref-type="bibr" rid="B20">Das et al., 2020</xref>; <xref ref-type="bibr" rid="B83">Murthy et al., 2021</xref>; <xref ref-type="bibr" rid="B85">Nott et al., 2015</xref>; <xref ref-type="bibr" rid="B95">Qamar et al., 2018</xref>). FUS exemplifies IDR-driven LLPS: its N-terminal SYGQ low-complexity segment, central RRM/zinc-finger domains, and C-terminal RGG repeats cooperate to promote condensation. [G/S]Y [G/S] motifs drive liquid-to-gel/solid transitions, while cation&#x2013;&#x3c0; and hydrophobic interactions lower Csat. The RGG&#x2013;SYGQ network further stabilizes droplets <italic>via</italic> hydrogen bonds, sp<sup>2</sup>&#x2013;&#x3c0; stacking, and enhanced cation&#x2013;&#x3c0; contacts (<xref ref-type="bibr" rid="B52">Kato et al., 2012</xref>; <xref ref-type="bibr" rid="B82">Murray et al., 2017</xref>; <xref ref-type="bibr" rid="B83">Murthy et al., 2021</xref>; <xref ref-type="bibr" rid="B95">Qamar et al., 2018</xref>; <xref ref-type="bibr" rid="B115">Wang and Li, 2024</xref>). These multimodal interactions endow FUS condensates with robustness and plasticity, yet their imbalance can drive pathological solidification. The functional spectrum of IDRs is highly diverse. For instance, in G3BP1, IDR1 acts as an autoinhibitory module that suppresses phase separation through intramolecular interactions, whereas IDR2 counteracts this inhibition to promote phase separation, collectively revealing a bidirectional control mechanism (<xref ref-type="bibr" rid="B128">Yang et al., 2020</xref>). Thus, the intricate modularity and regulatability of IDRs offer a promising foundation for developing targeted therapeutic interventions against condensation-associated pathologies.</p>
</sec>
<sec id="s2-2-2-3">
<label>2.2.2.3</label>
<title>Selective organization and partitioning rules of IDRs</title>
<p>Coexisting condensates in cells always show spatial exclusivity (<xref ref-type="bibr" rid="B21">De La Cruz et al., 2024</xref>; <xref ref-type="bibr" rid="B55">King et al., 2024</xref>),reflecting sequence-encoded selectivity. In the nucleolus, IDR features (e.g., D/E tracts vs. K-blocks with E-rich segments) and associated RNA/DNA-binding domains bias partitioning among FC/DFC (<xref ref-type="bibr" rid="B55">King et al., 2024</xref>). Moreover, experimental swap assays further demonstrate this principle: exchanging MED1&#x2019;s charged IDR features with glutamine/tyrosine motifs redirected proteins toward FUS condensates, whereas the reciprocal replacement recruited proteins to MED1 condensates (<xref ref-type="bibr" rid="B21">De La Cruz et al., 2024</xref>). Another example comes from the distribution of charge and aromatic residues, where dense RGG clusters promote homotypic separation and exclusivity, while dispersed charges favor heterotypic mixing (<xref ref-type="bibr" rid="B49">Jo et al., 2022</xref>; <xref ref-type="bibr" rid="B124">Welles et al., 2024</xref>). These findings provide a theoretical foundation for modulating and targeting phase-separated condensates. However, the predictive capacity of sequence features for partitioning behavior is constrained by incomplete understanding of multiscale interactions; and the dynamic interplay between IDRs and other cellular components remains underexplored.</p>
</sec>
</sec>
</sec>
<sec id="s2-3">
<label>2.3</label>
<title>PTM-tunable valence and affinity to regulate LLPS</title>
<p>The variable and disordered nature of the IDRs introduces a dynamic dimension for regulation, as their exposed modification sites may serve as prime targets for PTMs, thereby potentially fine-tuning phase separation (<xref ref-type="bibr" rid="B18">Clifford et al., 2015</xref>).</p>
<sec id="s2-3-1">
<label>2.3.1</label>
<title>Phosphorylation</title>
<p>Phosphorylation exemplifies the bidirectional nature of PTM regulation. By introducing negative charges, it can increase anionic character and enhance electrostatic attraction, thereby lowering Csat and facilitating droplet assembly (<xref ref-type="bibr" rid="B111">Tsang et al., 2019</xref>; <xref ref-type="bibr" rid="B123">Wegmann et al., 2018</xref>). Moreover, such effects are frequently threshold-dependent, with over-phosphorylation predisposing proteins toward pathological aggregation (<xref ref-type="bibr" rid="B123">Wegmann et al., 2018</xref>). In particular, phosphorylation can enhance condensate stability by stabilizing oligomeric conformations, as seen with S16 phosphorylation reinforcing the dimer structure of C/EBP&#x3b1; (<xref ref-type="bibr" rid="B119">Wang et al., 2023</xref>). Conversely, excessive or misplaced phosphorylation may raise repulsion or disrupt critical interfaces, attenuating LLPS. For instance, serine phosphorylation in FUS-LC and G3BP1 weakens phase separation (<xref ref-type="bibr" rid="B78">Monahan et al., 2017</xref>; <xref ref-type="bibr" rid="B128">Yang et al., 2020</xref>),while S54/S61 phosphorylation in FUS induces a &#x3b2;-to-&#x3b1; transition that suppresses both condensation and amyloidogenesis (<xref ref-type="bibr" rid="B59">Lao et al., 2022</xref>). This inherent capacity for precise, reversible, and context-dependent regulation makes phosphorylation an ideal molecular switch for controlling biomolecular condensate dynamics under physiological conditions. This concept is elegantly demonstrated in the regulation of both P granules in <italic>C. elegans</italic> and synaptic vesicle clusters in neurons, illustrating its role in driving both slow developmental transitions and fast physiological responses across evolutionarily distant systems (<xref ref-type="bibr" rid="B73">Milovanovic et al., 2018</xref>; <xref ref-type="bibr" rid="B117">Wang et al., 2014</xref>). The significant differences observed in these studies emphasize that the functional outcome is not solely dependent on the post-translational modification (PTM) itself; rather, it is intricately influenced by the specific site, local sequence, and structural context.</p>
</sec>
<sec id="s2-3-2">
<label>2.3.2</label>
<title>Acetylation</title>
<p>Acetylation generally restrains LLPS through neutralizing lysine charge and weakens the electrostatic interactions that drive condensation, as observed in hyper-acetylated IRF3/IRF7 complexes or the SARS-CoV-2 nucleocapsid protein (<xref ref-type="bibr" rid="B96">Qin et al., 2022</xref>; <xref ref-type="bibr" rid="B120">Wang S. et al., 2021</xref>). Conversely, acetylation can promote condensate assembly when it stabilizes key scaffolding proteins; for instance, K276 acetylation on RB1CC1 prolongs scaffold availability and enhances autophagy-related phase separation (<xref ref-type="bibr" rid="B130">Yi et al., 2023</xref>). Notably, the functional outcome of acetylation is also determined by site and sequence context, as demonstrated in tau protein where acetylation at K311 promotes LLPS while K369 acetylation suppresses it (<xref ref-type="bibr" rid="B91">Powell et al., 2024</xref>). This site-specific mechanism, which parallels the findings in phosphorylation, enables precise and bidirectional regulation of LLPS, allowing a single post-translational modification to orchestrate distinct cellular processes.</p>
</sec>
<sec id="s2-3-3">
<label>2.3.3</label>
<title>Methylation</title>
<p>Methylation further illustrates this duality by reprogramming interactome networks to dictate condensate state and function, primarily through modulating interaction strength and specificity. On one hand, hypomethylation of arginine residues strengthens Arg&#x2013;Tyr cation&#x2013;&#x3c0; interactions, driving aberrant gel-like or &#x3b2;-sheet-rich states as observed in FUS or MSX1 (<xref ref-type="bibr" rid="B70">Meng et al., 2025</xref>; <xref ref-type="bibr" rid="B95">Qamar et al., 2018</xref>). On the other hand, asymmetric dimethylation of FUS weakens homotypic LLPS but creates docking sites for SMN Tudor domains, establishing heterotypic FUS&#x2013;SMN&#x2013;RNA droplets with normal RNP function (<xref ref-type="bibr" rid="B115">Wang and Li, 2024</xref>). Extending beyond proteins, m<sup>6</sup>A RNA methylation increases transcript valency to nucleate selective condensates enriched with YTHDF proteins, which in turn regulate downstream processes such as mRNA fate and tumour suppression (<xref ref-type="bibr" rid="B135">Zhao et al., 2024</xref>).</p>
</sec>
<sec id="s2-3-4">
<label>2.3.4</label>
<title>Ubiquitylation</title>
<p>Ubiquitylation provides a particularly versatile example of programmable multivalency and thereby gate condensate assembly (<xref ref-type="bibr" rid="B24">Du et al., 2022</xref>; <xref ref-type="bibr" rid="B108">Sun et al., 2018</xref>; <xref ref-type="bibr" rid="B129">Yasuda et al., 2020</xref>). Accordingly, in protein quality control, K48-linked tetraUb chains direct the assembly of degradation condensates by recruiting clients like RAD23B and proteasomal subunits (<xref ref-type="bibr" rid="B129">Yasuda et al., 2020</xref>). In contrast, K63-linked chains drive the formation of autophagic condensates through p62 oligomerization (<xref ref-type="bibr" rid="B108">Sun et al., 2018</xref>). Beyond degradation, these same K63 linkages can also nucleate NEMO condensates to activate IKK and NF-&#x3ba;B signaling (<xref ref-type="bibr" rid="B24">Du et al., 2022</xref>). Conversely, monoubiquitin or short/sparsely distributed chains can saturate UBDs without crosslinking, capping IDR-based hubs and dissolving pre-formed droplets (<xref ref-type="bibr" rid="B19">Dao et al., 2018</xref>). Similar to ubiquitination, the SUMO-ubiquitin cascade represents a central mechanism for protein stability control, as demonstrated in PML nuclear bodies where stress-triggered SUMO2/3 modification directly templates ubiquitination to orchestrate stem cell fate (<xref ref-type="bibr" rid="B102">Sarah et al., 2022</xref>).</p>
<p>The interplay between PTM type, specific site, and cellular context dictates diverse phase separation outcomes, as synthetically summarized in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Summary of how post-translational modifications (PTMs) bidirectionally regulate liquid-liquid phase separation (LLPS).</p>
</caption>
<table>
<thead valign="top">
<tr style="background-color:#CFCDCD">
<th align="left">PTM</th>
<th align="left">Regulation</th>
<th align="left">Mechanism</th>
<th align="left">Example</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="left">Phosphorylation</td>
<td align="left">Positive</td>
<td align="left">Introduces negative charge, enhances electrostatic attraction, stabilizes multivalent-competent conformations.</td>
<td align="left">S16 phosphorylation stabilizes C/EBP&#x3b1; dimers, enhancing condensate stability</td>
<td align="left">
<xref ref-type="bibr" rid="B123">Wegmann et al. (2018)</xref>, <xref ref-type="bibr" rid="B111">Tsang et al. (2019)</xref>, <xref ref-type="bibr" rid="B119">Wang et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="left">Introduces excessive negative charge causing electrostatic repulsion; disrupts critical multivalent interaction interfaces.</td>
<td align="left">Ser phosphorylation in FUS and G3BP1 disrupts homotypic LLPS, mitigating pathological aggregation</td>
<td align="left">
<xref ref-type="bibr" rid="B59">Lao et al. (2022)</xref>, <xref ref-type="bibr" rid="B78">Monahan et al. (2017)</xref>, <xref ref-type="bibr" rid="B128">Yang et al. (2020)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="left">Acetylation</td>
<td align="left">Positive</td>
<td align="left">Neutralizes positive charge to reduce electrostatic repulsion; stabilizes scaffolding proteins to prolong condensate lifetime.</td>
<td align="left">K276 acetylation on RB1CC1/FIP200 amplifies autophagy initiation by stabilizing pro-autophagic condensates.</td>
<td align="left">
<xref ref-type="bibr" rid="B91">Powell et al. (2024)</xref>, <xref ref-type="bibr" rid="B130">Yi et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="left">Neutralizes lysine charge, weakening crucial cationic-&#x3c0; and other electrostatic driving forces for LLPS</td>
<td align="left">Hyper-acetylation of IRF3/IRF7 impedes antiviral signalosome formation; observed in viral immune evasion.</td>
<td align="left">
<xref ref-type="bibr" rid="B91">Powell et al. (2024)</xref>, <xref ref-type="bibr" rid="B96">Qin et al. (2022)</xref>, <xref ref-type="bibr" rid="B120">Wang S. et al. (2021)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="left">Arginine Methylation</td>
<td align="left">Positive</td>
<td align="left">Creates specific recognition codes for heterotypic interactions (e.g., Tudor domains); increases RNA valency.</td>
<td align="left">FUS asymmetric dimethylation recruits SMN, forming functional RNP granules. m<sup>6</sup>A mRNA recruits YTHDFs into regulatory condensates.</td>
<td align="left">
<xref ref-type="bibr" rid="B115">Wang and Li (2024)</xref>, <xref ref-type="bibr" rid="B135">Zhao et al. (2024)</xref>
</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="left">Hypomethylation strengthens non-specific cation-&#x3c0; interactions, driving aberrant phase transitions to gels/solids.</td>
<td align="left">FUS hypomethylation promotes age-related pathological solidification in ALS models.</td>
<td align="left">
<xref ref-type="bibr" rid="B70">Meng et al. (2025)</xref>, <xref ref-type="bibr" rid="B95">Qamar et al. (2018)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="left">Ubiquitylation</td>
<td align="left">Positive</td>
<td align="left">Provides programmable multivalency (K63 chains) for scaffolding; acts as a recruitment signal (K48 chains) for functional complexes.</td>
<td align="left">K63-linked ubiquitin nucleates NF-&#x3ba;B signalosomes <italic>via</italic> NEMO. K48 chains concentrate substrates in proteolytic condensates.</td>
<td align="left">
<xref ref-type="bibr" rid="B24">Du et al. (2022)</xref>, <xref ref-type="bibr" rid="B108">Sun et al. (2018)</xref>, <xref ref-type="bibr" rid="B129">Yasuda et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="left">Monoubiquitylation or short chains act as a dominant-negative by saturating UBDs and capping multivalent interactions.</td>
<td align="left">Monoubiquitin dissolves pre-formed condensates by sequestering ubiquitin-binding proteins (e.g., hHR23B).</td>
<td align="left">
<xref ref-type="bibr" rid="B19">Dao et al. (2018)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The table categorizes representative PTMs, by their general mechanisms of altering molecular valence or affinity, their functional outcomes in promoting or inhibiting LLPS, and key examples. The effects are highly dependent on the specific modification site, type, and cellular context. PTM, post-translational modification; Ub, ubiquitin.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s2-4">
<label>2.4</label>
<title>The regulatory roles of RNA and molecular crowding in LLPS</title>
<p>As one of the most abundant multivalent macromolecules in the cell, RNA acts not only as a &#x201c;client&#x201d; but also as a key regulator of phase separation, dynamically modulating its occurrence, material properties, and biological functions through diverse mechanisms (<xref ref-type="bibr" rid="B88">Patel et al., 2015</xref>; <xref ref-type="bibr" rid="B133">Zhang et al., 2015</xref>). Specifically, RNA exhibits a notable concentration-dependent biphasic effect on phase separation. At lower concentrations, RNA can promote phase separation by serving as a molecular bridge <italic>via</italic> nonspecific electrostatic interactions between its negatively charged backbone and positively charged intrinsically disordered regions (IDRs) of proteins. In contrast, at higher concentrations, excess RNA molecules compete for binding interfaces on proteins, disrupting the multivalent interaction network and thereby inhibiting phase separation or even dissolving preformed condensates. This re-entrant phase behavior underscores that RNA concentration is a central determinant of the dynamics and state of biomolecular condensates (<xref ref-type="bibr" rid="B88">Patel et al., 2015</xref>; <xref ref-type="bibr" rid="B133">Zhang et al., 2015</xref>). Beyond concentration, the sequence and structural specificity of RNA also contribute to the regulation of liquid&#x2013;liquid phase separation (LLPS). For instance, enhancer RNAs (eRNAs) and long non-coding RNAs (lncRNAs) can engage in precise molecular recognition with specific proteins, enabling spatially defined recruitment of components and guiding the assembly of functionally distinct biomolecular condensates (<xref ref-type="bibr" rid="B101">Sabari et al., 2018</xref>). However, the crowding agents such as PEG are commonly used to mimic the crowded intracellular environment and reconstitute phase separation <italic>in vitro</italic>, high concentrations of inert polymeric crowders may non-specifically induce phase separation or drive the formation of poorly dynamic assemblies-phenomena that may not occur or be physiologically relevant under native cellular conditions (<xref ref-type="bibr" rid="B76">Mittag and Pappu, 2022</xref>).</p>
</sec>
<sec id="s2-5">
<label>2.5</label>
<title>Condensates as functional modules in cellular organization</title>
<p>Given that biomolecular condensates are dynamically and precisely regulated, a critical question arises: what specific cellular functions do they organize? This organization governs a wide range of biological processes, from gene expression to proteostasis.</p>
<sec id="s2-5-1">
<label>2.5.1</label>
<title>DNA-associated functions of LLPS</title>
<sec id="s2-5-1-1">
<label>2.5.1.1</label>
<title>LLPS in genomic stability</title>
<p>Liquid-liquid phase separation (LLPS) stabilizes the genome by modulating key processes such as DNA damage signaling, heterochromatin organization, telomere maintenance and assembly of critical cellular structures. While studies show that condensates like TopBP1 amplify ATR&#x2013;Chk1 signaling and stabilize replication forks (<xref ref-type="bibr" rid="B31">Frattini et al., 2021</xref>); and that 53BP1 compartments modulate repair pathway choice (<xref ref-type="bibr" rid="B134">Zhang et al., 2022</xref>),a crucial question remains: how do these hubs prevent spurious activation? The enormous capacity for amplification could potentially lead to excessive signaling from minor lesions. The finding that SLX4-SUMO condensates regulate the timely resolution of repair intermediates (<xref ref-type="bibr" rid="B5">Alghoul et al., 2023</xref>) hints at built-in termination mechanisms. At telomeres, shelterin components such as TRF1 and TRF2 facilitate the formation of telomric condensates that promote higher-order compaction and T-loop formation. Furthermore, the role of LLPS extends to the assembly of critical cellular structures. A prime example occurs during mitosis, where the phase separation of NuMA, regulated by Aurora A kinase, drives the precise assembly of the mitotic spindle (<xref ref-type="bibr" rid="B71">Mengjie et al., 2021</xref>). In heterochromatin maintenance, LLPS driven by HP1 proteins, reinforced by H3K9me3 deposition and ATRX&#x2013;DAXX&#x2013;mediated H3.3 incorporation, facilitates the compaction and functional partitioning of heterochromatic regions. Notably, 53BP1&#x2013;HP1&#x3b1; condensates contribute to heterochromatin stability largely independent of canonical double-strand break repair, suggesting a structural role in genome organization beyond acute damage handling (<xref ref-type="bibr" rid="B60">Larson et al., 2017</xref>; <xref ref-type="bibr" rid="B134">Zhang et al., 2022</xref>). These compartments function not only structurally but also protectively by limiting spurious engagement of DNA damage response factors, thereby preventing illegitimate repair and preserving chromosome ends (<xref ref-type="bibr" rid="B43">Jack et al., 2022</xref>). This critical perspective suggests that LLPS functions as a double-edged sword in heterochromatin, balancing compaction with accessibility, a tension that is not yet fully explored. Notably, aberrant transcriptional condensates can drive tumorigenesis by inducing chromosomal structural abnormalities. For instance, in leukemia, the aberrant transcriptional condensates formed by the NUP98-HOXA9 fusion protein orchestrate tumorigenesis through a dual mechanism: mimicking super-enhancer functionality to hyperactivate proto-oncogenes while concurrently remodeling the 3D chromatin architecture through anomalous looping, ultimately leading to uncontrolled cellular proliferation (<xref ref-type="bibr" rid="B48">Jeong Hyun et al., 2021</xref>).</p>
</sec>
<sec id="s2-5-1-2">
<label>2.5.1.2</label>
<title>LLPS in gene transcription regulation</title>
<p>Liquid-liquid phase separation (LLPS) has emerged as a pivotal mechanism in gene transcription regulation, functioning as a bidirectional switch that dynamically assembles membrane-less compartments to control genomic output. On the activating front, coactivators like BRD4 and Mediator form condensates at super-enhancers that enrich the transcriptional machinery, facilitating Pol II initiation and productive elongation, with Pol II-CTD modifications further tuning engagement within these hubs to promote promoter escape (<xref ref-type="bibr" rid="B11">Boehning et al., 2018</xref>; <xref ref-type="bibr" rid="B12">Boija et al., 2018</xref>; <xref ref-type="bibr" rid="B101">Sabari et al., 2018</xref>). Conversely, repressive condensates regulate gene silencing by compacting chromatin and reducing its accessibility. Polycomb assemblies (e.g., PRC1/CBX2) undergo phase separation to achieve acute compaction, which is then stabilized by sustained H3K27me3 deposition to maintain long-term repression. Additionally HP1&#x3b1; droplets nucleate at H3K9me3 sites to reinforce heterochromatin organization (<xref ref-type="bibr" rid="B60">Larson et al., 2017</xref>; <xref ref-type="bibr" rid="B90">Plys et al., 2019</xref>). Beyond the behavior of individual protein complexes, the material state of chromatin itself is increasingly recognized as an active participant in this process; the condensation of nucleosome arrays, driven by histone tails or modulated by small molecules like Ru1, alters viscoelasticity, reconfigures enhancer-promoter communication, and ultimately shifts transcriptional output (<xref ref-type="bibr" rid="B34">Gibson et al., 2019</xref>; <xref ref-type="bibr" rid="B121">W. J. Wang et al., 2021</xref>). These findings offer more dynamic perspective than traditional static models for understanding chromatin reorganization. Future efforts should focus on the integration of LLPS biophysics with mechanistic studies of transcriptional control.</p>
</sec>
</sec>
<sec id="s2-5-2">
<label>2.5.2</label>
<title>RNA associated phase separation</title>
<p>RNA-related membrane-less organelles, such as the nucleolus, nuclear speckles, and stress granules, serve as prime models for liquid-liquid phase separation (LLPS). These condensates assemble reversibly <italic>via</italic> multivalent weak interactions at physiological concentrations, coupling processes like transcription, splicing, translational repression, and quality control, while enabling rapid molecular reallocation under stress (<xref ref-type="bibr" rid="B13">Brangwynne et al., 2009</xref>; <xref ref-type="bibr" rid="B27">Feric et al., 2016</xref>; <xref ref-type="bibr" rid="B58">Lafontaine et al., 2021</xref>; <xref ref-type="bibr" rid="B75">Mitrea et al., 2018</xref>; <xref ref-type="bibr" rid="B128">Yang et al., 2020</xref>).</p>
<sec id="s2-5-2-1">
<label>2.5.2.1</label>
<title>LLPS as an organizer of dynamic RNP organelles</title>
<p>Despite distinct compositions, major RNA&#x2013;protein condensates share a common assembly principle: multivalent interactions mediated by intrinsically disordered regions (IDRs) and RNA initiate core formation, while interfacial energy differences drive multiphase organization. For instance, the nucleolus nucleates <italic>via</italic> high rRNA transcription, organizing into a tripartite condensate (FC, DFC, GC) scaffolded by electrostatic/&#x3c0;-interaction networks involving NPM1, rRNA, and arginine-rich proteins like SURF6; compartmentalization is refined by interfacial tension, facilitating ordered rRNA processing (<xref ref-type="bibr" rid="B27">Feric et al., 2016</xref>; <xref ref-type="bibr" rid="B28">Ferrolino et al., 2018</xref>; <xref ref-type="bibr" rid="B58">Lafontaine et al., 2021</xref>; <xref ref-type="bibr" rid="B75">Mitrea et al., 2018</xref>). Similarly, nuclear speckles form through LLPS driven by IDR-rich scaffolds like SON and SRRM2, with phosphorylation dynamically regulating architecture (<xref ref-type="bibr" rid="B42">Ilik et al., 2020</xref>; <xref ref-type="bibr" rid="B92">Prashant et al., 2024</xref>; <xref ref-type="bibr" rid="B127">Xu et al., 2022</xref>). In contrast, stress granules (SGs) assemble <italic>via</italic> multi-step condensation of untranslated mRNPs, stabilized by G3BP1, CAPRIN1, and TIA1 networks (<xref ref-type="bibr" rid="B44">Jain et al., 2016</xref>; <xref ref-type="bibr" rid="B125">Wheeler et al., 2016</xref>; <xref ref-type="bibr" rid="B128">Yang et al., 2020</xref>).</p>
</sec>
<sec id="s2-5-2-2">
<label>2.5.2.2</label>
<title>RNA condensates as functional nodes in cellular metabolism and stress adaptation</title>
<p>Functionally, RNA condensates modulate cellular metabolism and stress responses through the selective concentration and release of RNAs and ribonucleoproteins (RNPs). In the nucleus, the nucleolus exemplifies this principle by forming a biomolecular condensate that provides a viscoelastic environment enhancing pre-rRNA processing efficiency (<xref ref-type="bibr" rid="B27">Feric et al., 2016</xref>; <xref ref-type="bibr" rid="B58">Lafontaine et al., 2021</xref>). Under stress conditions, cells employ phase separation to reconfigure the splicing machinery, precisely tuning mRNA output through widespread intron retention. A key illustration of this is the CLK1/2 kinase&#x2013;driven remodeling of nuclear speckles, which promotes intron retention to fine-tune mRNA output (<xref ref-type="bibr" rid="B92">Prashant et al., 2024</xref>; <xref ref-type="bibr" rid="B116">Wang B. et al., 2024</xref>; <xref ref-type="bibr" rid="B127">Xu et al., 2022</xref>), highlighting how phase separation integrates transcriptional and post-transcriptional control. In the cytoplasm, stress granules (SGs) transiently sequester mRNAs to arrest translation. DYRK3-mediated dissolution of SGs enables translational recovery upon stress alleviation (<xref ref-type="bibr" rid="B46">Jeon et al., 2024</xref>). However, the functional implications of SGs remain context-dependent, as persistent SGs do not always correlate with cellular rescue, suggesting complex regulation beyond mere condensation. At a systems level, RNA concentration bidirectionally regulates condensates: low levels stabilize <italic>via</italic> electrostatic complementarity to enhance transcription, while high levels dissolve them (<xref ref-type="bibr" rid="B38">Henninger et al., 2021</xref>). Beyond translational control, emerging evidence indicates that SGs act as immunomodulatory hubs by linking translational arrest to innate immune signaling. For instance, TRIM25&#x2013;G3BP1 co-condensation facilitates the tuning of the RIG-I/MDA5 pathway (<xref ref-type="bibr" rid="B86">Onomoto et al., 2014</xref>; <xref ref-type="bibr" rid="B105">Shang et al., 2024</xref>). Nevertheless, the specificity of immune modulation through phase separation is debated, particularly in viral infections, where pathogens may exploit LLPS to evade immune detection.</p>
</sec>
</sec>
<sec id="s2-5-3">
<label>2.5.3</label>
<title>Protein associated LLPS</title>
<p>Protein-associated LLPS generates membrane-less condensates that enrich reactants and tune kinetics, thereby organizing signaling, cytoskeletal dynamics, and proteostasis.</p>
<sec id="s2-5-3-1">
<label>2.5.3.1</label>
<title>LLPS in signal transduction</title>
<p>Membrane-less condensates establish high-activity reaction hubs that amplify signaling outputs and sharpen response thresholds. At the plasma membrane, multivalent receptor&#x2013;adaptor assemblies (e.g., EGFR&#x2013;Grb2) exhibit condensate-like properties that potentiate downstream activity, suggesting a general mechanism for signal amplification (<xref ref-type="bibr" rid="B64">Lin et al., 2022</xref>). This principle extends to the nucleus, where YAP-derived condensates enrich transcription factors like TEAD1 to drive proliferative programs (<xref ref-type="bibr" rid="B14">Cai et al., 2019</xref>). Innate immune responses are similarly regulated through opposing LLPS modalities: while polyubiquitin-driven condensation of NEMO amplifies NF-&#x3ba;B signaling, STING forms inhibitory condensates that prevent hyperactivation (<xref ref-type="bibr" rid="B24">Du et al., 2022</xref>; <xref ref-type="bibr" rid="B131">Yu et al., 2021</xref>). These findings reveal that LLPS enables bidirectional control of signaling pathways. However, a key limitation across these studies is the heavy reliance on overexpression systems and engineered constructs, leaving open the question of whether such condensates form at endogenous expression levels and under physiological conditions. This gap is particularly relevant in disease contexts: although LLPS-enabled super-enhancers (e.g., containing LSD1, BRD4, and FOXA1) sustain oncogenic signaling in castration-resistant prostate cancer (<xref ref-type="bibr" rid="B63">Li et al., 2023</xref>), and aberrant glycogen phase separation promotes hepatocarcinogenesis <italic>via</italic> YAP activation (<xref ref-type="bibr" rid="B66">Liu et al., 2021</xref>), the direct causal role of phase separation in tumorigenesis, <italic>versus</italic> its role as a correlative epiphenomenon, remains inadequately tested. Thus, while IDR-driven phase separation is proposed to constitute a central layer of signaling control, the field must critically evaluate its mechanistic necessity <italic>in vivo</italic>.</p>
</sec>
<sec id="s2-5-3-2">
<label>2.5.3.2</label>
<title>LLPS in the cytoskeleton</title>
<p>LLPS directly orchestrates the spatial organization of the cytoskeleton by unifying force-producing components. For instance, reconstituted PSD condensates promote F-actin bundling and spine growth through charged surface interactions on Homer EVH1 (<xref ref-type="bibr" rid="B16">Chen et al., 2023</xref>). This finding is complemented by studies on abLIM1, whose condensates integrate actin nucleation and crosslinking to assemble tension-bearing cortical networks under low-salt conditions (<xref ref-type="bibr" rid="B104">Sen et al., 2022</xref>). A parallel logic applies to microtubule regulation: TPX2&#x2013;tubulin co-condensation enhances branching nucleation on pre-existing microtubules, while importin-&#x3b1;/&#x3b2; suppresses condensation to impose spatiotemporal precision (<xref ref-type="bibr" rid="B54">King and Petry, 2020</xref>). Collectively, these examples illustrate how phase separation links upstream signals to the architectural programming of the cytoskeleton. This mechanism paves the way for innovative drug development targeting major diseases such as cancer metastasis and neurodegenerative disorders and facilitates the creation of novel smart biomaterials.</p>
</sec>
<sec id="s2-5-3-3">
<label>2.5.3.3</label>
<title>LLPS in proteostasis</title>
<p>LLPS plays a dual role in proteostasis, facilitating both the targeted degradation of ubiquitinated substrates and the formation of adaptive stress-responsive compartments. p62/SQSTM1 undergoes K63-ubiquitin&#x2013;driven phase separation to initiate selective autophagy (<xref ref-type="bibr" rid="B108">Sun et al., 2018</xref>), while in the nucleus, p62 condensates function as proteasomal &#x201c;reactors&#x201d; that enrich K48-ubiquitylated substrates to accelerate degradation (<xref ref-type="bibr" rid="B129">Yasuda et al., 2020</xref>). Under stress, the proteasome itself forms reversible nuclear condensates (SIPANs) that co-assemble substrates, receptors, and machinery into a single functional unit (<xref ref-type="bibr" rid="B112">Uriarte et al., 2021</xref>). Similarly, RNP granules such as P-bodies and stress granules triage misfolded clients and silenced mRNPs, with their dysfunction leading to proteotoxic stress (<xref ref-type="bibr" rid="B84">Nostramo et al., 2019</xref>). The material properties of these granules are actively maintained by chaperone systems like HSPB8&#x2013;BAG3&#x2013;HSP70, which prevent pathological solidification (<xref ref-type="bibr" rid="B33">Ganassi et al., 2016</xref>); and regulated by factors such as NS1-BP, which stabilizes stress granules to enable their autophagic clearance (<xref ref-type="bibr" rid="B46">Jeon et al., 2024</xref>). These studies collectively position LLPS as a central organizer of protein quality control. However, they also reveal a critical, unresolved tension: the same physicochemical forces that promote adaptive compartmentalization can, under dysregulated conditions, drive a liquid-to-solid transition that underlies neurodegenerative pathology. This underscores the need to better understand the physiological checks and balances that maintain functional phase separation and prevent its collapse into disease-associated aggregates.</p>
<p>LLPS serves as a universal organizing principle across the central dogma, coordinating genome stability, transcriptional regulation, dynamic RNP organelle assembly, and protein homeostasis, as integrated in <xref ref-type="fig" rid="F3">Figure 3</xref>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Schematic model depicting the organization of key cellular processes by biomolecular condensates <italic>via</italic> liquid-liquid phase separation (LLPS). DNA associated regulation:LLPS stabilizes heterochromatin and facilitates DNA repair. In addition, LLPS bidirectionally controls transcription through forming activating hubs at super-enhancers or repressive hubs for gene silencing. RNA associated regulation: Liquid-liquid phase separation (LLPS) mediates the assembly of dynamic ribonucleoprotein (RNP) organelles (nucleolus, nuclear speckles, cytoplasmic stress granules). Protein associated regulation: LLPS coordinates signaling, cytoskeleton, and proteostasis.</p>
</caption>
<graphic xlink:href="fcell-14-1759561-g003.tif">
<alt-text content-type="machine-generated">Diagram illustrating Liquid-Liquid Phase Separation (LLPS) roles in cellular functions, divided into DNA, RNA, and Protein sections. DNA includes transcriptional regulation and genomic stability. RNA focuses on processing and organelle assembly. Protein covers homeostasis, cytoskeleton formation, and signal transduction. Central circle labeled LLPS.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s2-5-4">
<label>2.5.4</label>
<title>From liquid to solid: Physiological spectra and pathological transformations</title>
<p>The mechanisms governing condensate formation and function converge on a critical question: what are the physiological characteristics of these compartments? Understanding the spectrum of their material states&#x2014;from liquid to solid&#x2014;and their physiological transitions is paramount, as dysregulation of these dynamics represents a cornerstone of disease pathogenesis.</p>
<sec id="s2-5-4-1">
<label>2.5.4.1</label>
<title>Physical basis and regulation of LLPS phase transitions</title>
<p>On short timescales (t &#x3c; &#x3c4;_relax), biomolecular condensates predominantly display elastic responses; over longer periods (t &#x3e; &#x3c4;_relax), viscous flow becomes dominant. This macroscopic behavior can be provisionally captured by classical Maxwell-type viscoelastic models. Importantly, condensate &#x201c;aging&#x201d; involves more than a simple rise in viscosity. Research indicates that aging is principally driven by time-dependent internal network remodeling, governed by sequence-specific intermolecular interactions&#x2014;such as hydrogen bonds and &#x3c0;&#x2013;&#x3c0; stacking&#x2014;that function as physical crosslinks (<xref ref-type="bibr" rid="B6">Alshareedah et al., 2024</xref>). These interactions directly strengthen network connectivity and elevate the elastic modulus (G&#x2032;), rather than merely increasing macroscopic viscosity. Consequently, aging manifests as a marked extension of the relaxation time (&#x3c4;_relax), slowed fusion and rounding dynamics, and systematic shifts in rheological moduli as well as fluorescence recovery after photobleaching (FRAP) kinetics (<xref ref-type="bibr" rid="B45">Jawerth et al., 2020</xref>; <xref ref-type="bibr" rid="B81">Mukherjee et al., 2024</xref>); Such network remodeling has direct functional repercussions. Aging can reduce molecular exchange rates and substrate accessibility within condensates, leading to time-dependent declines or alterations in biochemical activities, including catalytic function (<xref ref-type="bibr" rid="B51">Kang et al., 2025</xref>). This indicates that the balance between stability and dynamics, maintained through metastable free-energy landscapes and multivalent interactions, is inherently dynamic and precarious. Notably, aging may progress toward irreversible transitions. Under pathological conditions, liquid-liquid phase separation (LLPS) itself can serve as a platform for aberrant aggregation. For example, &#x3b1;-synuclein undergoes LLPS to form condensates that dramatically concentrate the protein, creating a local environment conducive to irreversible conformational changes and drives the irreversible solidification of liquid condensates into amyloid fibrillar aggregates (<xref ref-type="bibr" rid="B98">Ray et al., 2020</xref>). Beyond internal interactions and aging, condensate phase behavior is modulated by a spectrum of factors including interfacial effects, viscoelastic relaxation, the competition between nucleation and spinodal decomposition pathways, local crowding, and chaperone activity (<xref ref-type="bibr" rid="B114">Visser et al., 2024</xref>).</p>
</sec>
<sec id="s2-5-4-2">
<label>2.5.4.2</label>
<title>Phase transition of LLPS</title>
<p>Proteins and RNA can drive phase transitions through multivalent interaction modules. These typically consist of sticker motifs, such as aromatic or arginine residues, and flexible or disordered spacer linkers. The sticker&#x2013;spacer framework proposes that reversible associations between stickers can drive two distinct yet often coupled transitions: liquid&#x2013;liquid phase separation, governed by net attraction as quantified by a renormalized chi parameter and occurring above a saturation concentration (Csat); and a percolation transition, driven by network connectivity and defined by a percolation threshold (c_perc), which leads to the formation of a system spanning physical gel. When Csat is lower than c_perc, and c_perc in turn lies below the concentration in the dense phase, phase separation and percolation become tightly coupled. The resulting condensates thus form reversible physical microgels that exhibit time dependent viscoelastic properties rather than irreversible solidification (as seen in <xref ref-type="fig" rid="F4">Figure 4</xref>) (<xref ref-type="bibr" rid="B17">Choi et al., 2020</xref>; <xref ref-type="bibr" rid="B37">Harmon et al., 2017</xref>; <xref ref-type="bibr" rid="B76">Mittag and Pappu, 2022</xref>). Since 2015, studies have revealed that the pathological aggregation of many neurodegenerative disease related proteins, such as tau, &#x3b1; synuclein, and TDP 43, is closely associated with phase transitions (<xref ref-type="bibr" rid="B15">Cao et al., 2019</xref>; <xref ref-type="bibr" rid="B29">Fitzpatrick et al., 2017</xref>; <xref ref-type="bibr" rid="B62">Li et al., 2018</xref>). These proteins can form fibrils through two primary nucleation pathways: classical nucleation in homogeneous solution (percolation transition), and condensate mediated nucleation. The latter is governed by a two threshold model in which liquid&#x2013;liquid phase separation (LLPS) is initiated at a lower concentration, generating protein rich condensates. A subsequent, higher concentration threshold within these condensates then triggers the liquid to solid transition, dramatically accelerating fibril formation (<xref ref-type="bibr" rid="B69">Mathieu et al., 2020</xref>; <xref ref-type="bibr" rid="B77">Molliex et al., 2015</xref>; <xref ref-type="bibr" rid="B88">Patel et al., 2015</xref>; <xref ref-type="bibr" rid="B98">Ray et al., 2020</xref>; <xref ref-type="bibr" rid="B123">Wegmann et al., 2018</xref>). Notably, biomolecular condensates can exert dual regulatory effects on nucleation. For example, full length &#x3b1; synuclein, due to its amphipathic nature, accumulates at condensate interfaces where elevated local concentrations reduce the nucleation energy barrier and promote fibrillation. In contrast, truncated variants of &#x3b1; synuclein can experience nucleation suppression within certain condensates, likely due to stabilizing molecular interactions (<xref ref-type="bibr" rid="B65">Lipi&#x144;ski et al., 2022</xref>). In hematology, pathological liquid phase separation acts as a critical nucleation precursor that accelerates the aberrant polymerization and fibrillation of sickle cell hemoglobin (HbS), thereby driving the core pathology of erythrocyte rigidification and vaso occlusion (<xref ref-type="bibr" rid="B32">Galkin et al., 2002</xref>). In oncology, mutant p53 undergoes nuclear LLPS, forming prion like condensates that solidify into amyloid aggregates and facilitate gain of function tumorigenesis (<xref ref-type="bibr" rid="B89">Petronilho et al., 2021</xref>). Moreover, oligomerization may lower nucleation barriers and reduce saturation thresholds (<xref ref-type="bibr" rid="B19">Dao et al., 2018</xref>). Although the resulting inclusions can transiently buffer toxic oligomers and exert a short lived neuroprotective effect, sustained proteostasis stress or failure of quality control pathways ultimately drives their maturation into fibrillar deposits that perpetuate aggregation and toxicity (<xref ref-type="bibr" rid="B3">Alberti and Dormann, 2019</xref>; <xref ref-type="bibr" rid="B109">Tompkins and Hill, 1997</xref>). This dynamic highlights a central conceptual tension in the field: the dual role of phase transitions as both adaptive mechanisms and drivers of pathology. Critically, it raises the fundamental question of when and how a physiological response shifts toward becoming pathological.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>The sticker&#x2013;spacer framework and the coupling of phase separation to percolation. Multivalent interactions between repeated &#x201c;sticker&#x201d; domains (e.g., SH3 and PRMs) drive a percolation transition above a threshold concentration, c_perc. Linker-dependent solubility dictates the outcome: if the saturation concentration Csat &#x3c; c_perc (right), percolation couples with phase separation; if c_perc &#x3c; Csat (left), a percolated network forms without demixing. (Adapted from <xref ref-type="bibr" rid="B37">Harmon et al., 2017</xref>). Abbreviations: LLPS, liquid-liquid phase separation; RNP, ribonucleoprotein; SG, stress granule; IDR, intrinsically disordered region; Pol II, RNA polymerase II; CTD, C-terminal domain; H3K9me3, histone H3 lysine 9 trimethylation; rRNA, ribosomal RNA; mRNA, messenger RNA; mRNP, messenger ribonucleoprotein; F-actin, filamentous actin.</p>
</caption>
<graphic xlink:href="fcell-14-1759561-g004.tif">
<alt-text content-type="machine-generated">Diagram illustrating protein interactions and phase separation. Top part shows SH3 and PRM with linkers. Symbols indicate unbound and bound states. Left panel shows network of interactions without phase separation. Right panel depicts interactions with phase separation, showing clustering within a circle.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2-5-4-3">
<label>2.5.4.3</label>
<title>Small-molecule modulation of biomolecular condensates: Mechanisms and therapeutic potential</title>
<p>The internal microenvironment of biomolecular condensates is formed through dynamic interactions among proteins, RNA, and solutes. These interactions govern key condensate properties&#x2014;such as biochemical reactivity, molecular sorting, and material exchange&#x2014;and enable the selective recruitment of specific small molecules, which in turn influence condensate stability and assembly. Mechanistically, small molecules can alter the physical state of condensates by modulating their internal environment. Hydrophilic compounds, for example, raise polarity and lower viscosity, while &#x201c;proteophilic&#x201d; molecules like ATP exclude water, thereby increasing hydrophobicity and viscosity. Such effects suggest that cells can fine-tune the material state of membraneless organelles through changes in the concentration of endogenous regulators (<xref ref-type="bibr" rid="B87">Pan et al., 2025</xref>). However, under pathological conditions, small molecules may act as drivers that promote the conversion of liquid-like condensates into gel-like or solid states (<xref ref-type="bibr" rid="B87">Pan et al., 2025</xref>). Studies using purified &#x3b1;-synuclein have further revealed how small molecules can selectively modulate phase separation. Polyphenols such as quercetin and EGCG promote the formation of liquid condensates while potently inhibiting their conversion into solid amyloid fibrils. These molecules bind &#x3b1;-synuclein <italic>via</italic> hydrophobic interactions, enhancing its effective multivalency to drive phase separation, while simultaneously stabilizing conformations that hinder &#x3b2;-sheet assembly required for fibrillation. In contrast, dyes like thioflavin T act as potent inducers that rapidly initiate phase separation and accelerate aggregation (<xref ref-type="bibr" rid="B103">Sarkar et al., 2025</xref>). These findings illustrate that small molecules can precisely control the dynamics and phase states of biomolecular condensates, providing a rationale for interfering with pathological protein aggregation. This insight underpins the emerging therapeutic strategy termed Condensate-Modifying Therapeutics (C-mods). Rather than targeting classic protein active sites, C-mods are rationally designed small molecules that directly regulate the assembly, material state, and function of biomolecular condensates&#x2014;often by tuning properties such as hydrophilicity/hydrophobicity, charge distribution, and three-dimensional conformation (<xref ref-type="bibr" rid="B113">Usman et al., 2025</xref>; <xref ref-type="bibr" rid="B122">Wang X. et al., 2024</xref>). C-mod activity is highly context-dependent. For instance, polar aliphatic molecules like 1,6-hexanediol can dissolve condensates (e.g., Cajal bodies, stress granules) by disrupting weak hydrophobic interactions, yet under certain conditions they can also promote condensate formation or chromatin compaction through competitive interference with multivalent interactions (<xref ref-type="bibr" rid="B36">Hamad et al., 2021</xref>; <xref ref-type="bibr" rid="B110">Trnka et al., 2021</xref>). Polar aromatic C-mods frequently operate by weakening inter-chain hydrogen bonds within condensates or <italic>via</italic> competitive binding, thereby preventing protein oligomerization or abnormal conformational transitions&#x2014;offering new intervention routes for neurodegenerative diseases, cancer, and viral infections (<xref ref-type="bibr" rid="B113">Usman et al., 2025</xref>). Beyond synthetic compounds, ions and endogenous metabolites also exhibit dual regulatory capacities. In viral infection, Zn<sup>2&#x2b;</sup> promotes phase separation of the viral nucleocapsid protein (N), supporting replication and RNA packaging. Host antiviral responses can counteract this by upregulating Cu<sup>2&#x2b;</sup>, which competitively inhibits Zn<sup>2&#x2b;</sup>, disrupting viral morphology and reducing pathogenicity (<xref ref-type="bibr" rid="B79">Monette and Mouland, 2020</xref>). Similarly, ATP acts as a key endogenous modulator: at low concentrations it generally enhances phase separation, whereas high concentrations inhibit it. The adenine ring engages in &#x3c0;-&#x3c0; stacking or hydrophobic interactions with protein regions, while the triphosphate chain influences solvent environment; age-related declines in ATP levels compromise the reversibility of phase separation (<xref ref-type="bibr" rid="B72">Meyer and Voigt, 2017</xref>; <xref ref-type="bibr" rid="B100">Rice and Rosen, 2017</xref>). In summary, C-mods regulate liquid&#x2013;liquid phase separation through multiple, reversible, and context-sensitive mechanisms. This approach moves beyond the classical &#x201c;lock-and-key&#x201d; drug-design model, opening new avenues for treating condensate-related pathologies.</p>
</sec>
<sec id="s2-5-4-4">
<label>2.5.4.4</label>
<title>Future perspectives</title>
<p>The study of biomolecular condensates is evolving from descriptive observation to quantitative prediction, yet significant challenges persist. Current techniques lack sufficient resolution to dynamically probe condensate organization in living systems, necessitating advanced methods that can precisely manipulate key physicochemical parameters. Fundamental questions remain about cellular control over phase transitions, requiring integrated theoretical frameworks combining Flory-Huggins and active matter principles. Therapeutically, while &#x201c;molecular glues&#x201d; and &#x201c;wedges&#x201d; offer promising approaches for modulating pathological condensates, achieving specificity presents substantial hurdles. Ultimately, tackling these challenges will demand intensified cross-disciplinary efforts to translate mechanistic insights into clinical applications.</p>
</sec>
</sec>
</sec>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s3">
<title>Author contributions</title>
<p>YC: Investigation, Writing &#x2013; review and editing, Data curation, Methodology, Conceptualization, Resources, Validation, Visualization, Project administration, Supervision, Funding acquisition, Formal Analysis. QL: Resources, Writing &#x2013; review and editing, Writing &#x2013; original draft, Formal Analysis, Project administration, Visualization, Methodology, Validation, Conceptualization, Software, Investigation, Data curation. YJ: Data curation, Writing &#x2013; original draft, Project administration, Methodology, Investigation, Visualization, Writing &#x2013; review and editing.</p>
</sec>
<ack>
<title>Acknowledgements</title>
<p>We gratefully acknowledge Associate Research Fellow Huang Pei for her advice and guidance during this work; we also acknowledge the use of the following tools for figure preparation: <xref ref-type="fig" rid="F1">Figures 1</xref>, <xref ref-type="fig" rid="F2">2</xref>, and <xref ref-type="fig" rid="F4">4</xref> were drawn using Figdraw (<ext-link ext-link-type="uri" xlink:href="http://www.figdraw.com">www.figdraw.com</ext-link>), and <xref ref-type="fig" rid="F3">Figure 3</xref> was created using Adobe Illustrator.</p>
</ack>
<sec sec-type="COI-statement" id="s5">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s6">
<title>Generative AI statement</title>
<p>The author(s) declared that no generative AI was used in the creation of this manuscript. DeepSeek was employed solely for text polishing and not for any other purpose; all content and commentary were entirely produced by the authors.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s7">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<fn-group>
<fn fn-type="custom" custom-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1542372/overview">Takuya Noguchi</ext-link>, Iwate Medical University, Japan</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2959557/overview">Xinzhi Huang</ext-link>, Kennesaw State University, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3320660/overview">Jinwei Zhu</ext-link>, Shanghai Jiao Tong University, China</p>
</fn>
</fn-group>
<fn-group>
<fn fn-type="abbr" id="abbrev1">
<label>Abbreviations:</label>
<p>Csat, Critical Saturation Concentration; DFC, Dense Fibrillar Component; FC, Fibrillar Center; GC, Granular Component; LCR, Low-Complexity Region; LCST, Lower Critical Solution Temperature; PAR, Poly(ADP-ribose); PRM, Proline-Rich Motif; PTM, Post-Translational Modification; RNP, Ribonucleoprotein; SG, Stress Granule; SIPAN, Starvation-Induced Proteasome Assembly in the Nucleus; SLiM, Short Linear Motif; UCST, Upper Critical Solution Temperature; UPS, Ubiquitin-Proteasome System.</p>
</fn>
</fn-group>
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