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Acta Biochimica et Biophysica Sinica logoLink to Acta Biochimica et Biophysica Sinica
. 2023 Mar 3;55(7):1023–1033. doi: 10.3724/abbs.2023028

Single-molecule techniques to visualize and to characterize liquid-liquid phase separation and phase transition

Single-molecule techniques to visualize LLPS and transition

Jinyao Ji 1, Wenjuan Wang 2, Chunlai Chen 1,*
PMCID: PMC10415186  PMID: 36876423

Abstract

Biomolecules forming membraneless structures via liquid-liquid phase separation (LLPS) is a common event in living cells. Some liquid-like condensates can convert into solid-like aggregations, and such a phase transition process is related to some neurodegenerative diseases. Liquid-like condensates and solid-like aggregations usually exhibit distinctive fluidity and are commonly distinguished via their morphology and dynamic properties identified through ensemble methods. Emerging single-molecule techniques are a group of highly sensitive techniques, which can offer further mechanistic insights into LLPS and phase transition at the molecular level. Here, we summarize the working principles of several commonly used single-molecule techniques and demonstrate their unique power in manipulating LLPS, examining mechanical properties at the nanoscale, and monitoring dynamic and thermodynamic properties at the molecular level. Thus, single-molecule techniques are unique tools to characterize LLPS and liquid-to-solid phase transition under close-to-physiological conditions.

Keywords: LLPS, phase transition, single-molecule techniques

Introduction

A decade ago, researchers observed P granules in Caenorhabditis elegans and nucleoli in Xenopus oocytes both exhibiting liquid-like features, bringing liquid-liquid phase separation (LLPS) into the field of biology [ 1, 2] . Biomolecules undergoing LLPS are usually driven by multivalent weak interactions among molecules to form reversible membraneless structures, which concentrate specific components into the condensed phase to ensure or facilitate the correct biological processes in the complex intracellular environment [ 3, 4] . Intriguingly, a group of neurodegenerative-related proteins are reported to be able to self-assemble into reversible liquid-like condensates and to gradually mature into solid-like aggregations with fibrous structures over time [ 510] . Moreover, these aggregations resemble the disease-associated inclusions [ 1115] . Several disease-related mutants have been identified to accelerate liquid-to-solid conversion [ 1620] . Hence, a close investigation of LLPS and phase transition would contribute to a deeper understanding of the liquid-to-solid transition and possibly the mechanisms underlying related diseases.

Liquid-like condensates and solid-like aggregations exhibit distinctive properties. The surface tension keeps liquid-like condensates spherical, whereas gel-like intermediates and solid-like aggregations can adopt irregular shapes. Fluorescence microscopy is the most commonly used technique to identify different morphologies and to distinguish liquid-like condensates from solid-like aggregations [16]. Due to the optical diffraction limit, only structures at the micrometer scale or larger can be visualized by commonly used fluorescence microscopy. Super-resolution fluorescence microscopy techniques, such as simulated emission depletion (STED) microscopy and stochastic optical reconstruction microscopy (STORM), are needed to reveal structures at tens and hundreds of nanometers [ 19, 21] . Electron microscopy is also able to visualize nano-structures of solid aggregations [ 9, 10, 22, 23] . Besides morphological features, condensates are more dynamic than aggregations. Small condensates can fuse into large condensates, and molecules within condensates can diffuse and exchange with the surroundings quickly, whereas solid-like aggregations cannot. Fluorescence recovery after photobleaching (FRAP) is a benchmark to examine fluidity [ 16, 20, 2426] . Specifically, the fluorescence of laser-bleached regions within droplets can quickly recover due to the rapid exchange of molecules between droplets and their surroundings, whereas recovery of solid-like aggregations is slow or even negligible. Besides the translational diffusion examined by FRAP, fluorescence anisotropy measurements can capture the rotational dynamics of molecules on the picosecond to nanosecond timescales [27]. In addition, 1,6-hexanediol is used to disrupt weak hydrophobic interactions to dissolve or suppress condensates formed by reversible weak interactions, whereas irreversibly matured aggregations are barely affected by 1,6-hexanediol [ 25, 28, 29] . These ensemble approaches are well established and widely used to study the properties of condensates and aggregations.

Single-molecule techniques are highly sensitive and can examine or even manipulate individual molecules or particles, providing unique quantitative information that cannot be obtained by ensemble methods, such as morphologies, mechanical properties, and condensate sizes at the nanoscale or even at the atomic resolution, dynamics of intramolecular conformations and intermolecular interactions ranging from nanosecond to minute, molecular diffusion coefficients and binding affinities in the condensed and diluted phases, and so on. Various single-molecule techniques have been used to examine liquid-like condensates and solid-like aggregations, revealing information complementary to the commonly used techniques mentioned above and gaining further mechanistic insights to understand LLPS and phase transition. Herein, we summarize the basic principles of several single-molecule techniques and demonstrate their power with example cases.

Applications of Various Single-Molecule Techniques in LLPS and Phase Transition

Atomic force microscopy

Atomic force microscopy (AFM) consists of a micro-cantilever with a sharp probe tip, a control, and a feedback device to sense the weak repulsive or attractive force between the sample surface and the probe tip. During measurements, the cantilever is scanned on the sample surface, and its position and sensing force are recorded ( Figure 1). AFM can operate in contact mode, non-contact mode, and tapping mode to obtain the surface morphology up to atomic resolution and other mechanical properties, such as stiffness, adhesion, and Young’s modulus [30]. The advantage of AFM is that it can work under close-to-physiological buffer conditions to examine biomolecules, macro-complexes, and cells, whose sizes range from the nanoscale to the micrometer scale.

Figure 1 .


Figure 1

The schematic diagram of AFM

AFM obtains the surface morphology and mechanical properties via scanning the condensate surface with the cantilever and the probe tip.

AFM is a powerful tool to acquire the morphology, mechanical property, and heterogeneity of complexes at the nanoscale. Hydrogels and aggregations containing fibrous structures formed by TDP-43 and tau at the nanoscale have been visualized without the need for specific fixation [ 3133] . Besides the morphology, condensates formed by asymmetrically dimethylated fuse in sarcoma (FUS) and hypomethylated FUS, which possess liquid- and solid-like properties, respectively, display distinctive intrinsic stiffness straightforwardly in AFM detection [34]. In addition, AFM can be combined with other spectroscopy methods to provide enriched information. For example, AFM-based infrared nanospectroscopy can correlate the nanoscale stiffness of FUS condensates with their secondary and quaternary structural properties to provide further molecular mechanistic insights regarding how stable condensates are formed [34]. The direct correlation of mechanical and structural information further broadens the applications of AFM to visualize regional heterogeneity during the liquid-to-solid transition. Moreover, AFM can capture condensate growth and fibril formation in real time. Studies have shown that mRNA serves as the scaffold for the aggregation of TIA-1, TDP-43, and FUS, which can be dissociated upon the addition of the stress granule proteins YB-1 and G3BP1 [ 35, 36] . Similarly, the recruitment of FUS to DNA damage sites has been examined using an in vitro reconstituted LLPS system [37]. Time-lapse AFM imaging reveals that amlyin fibrils grown in the test tube and on the mica surface exhibit distinct features [38]. Via high-speed AFM detection, fibrils formed by amyloid β-protein (Aβ) have been found to have two growth modes and can switch from one growth mode to another, producing either straight or spiral fibrils [39]. Similarly, the formation of β-lactoglobulin fibrils has been examined by AFM to propose a general model for amyloid fibril assembly [40], which would inspire the applications of AFM in LLPS-involved fibrillar systems.

Without the need for the harsh sample preparation used for conventional electron microscopy imaging, which might disrupt the complexes, AFM is a powerful tool to visualize samples in their native state in real time. The ability of AFM to directly acquire the morphology, mechanical property, and growth process of condensates at the nanoscale shows great potential in revealing the structural information of condensates.

Optical tweezers

Optical tweezers, also known as optical traps, use highly focused laser beams to produce small optical forces on the order of piconewton to hold and manipulate particles and objects in all three dimensions [41]. Multiple laser beams can be used to create several optical traps to manipulate multi-particles at the same time. In addition, optical tweezers equipped with optical microscopes and fluorescence microscopes can capture the dynamic motions of the trapped particles and labeled molecules of interest simultaneously. Optical tweezers are rarely used to directly trap individual molecules. Instead, biomolecules are anchored between two or more laser-trapped beads for further manipulation and observation.

Optical tweezers have been used to quantitatively characterize the nucleation and fusion of condensates. Using stretched double-stranded DNA (dsDNA) between two trapped beads ( Figure 2A), FUS has been found to form a single layer on dsDNA, which is an important nucleation mechanism for condensation [42]. FUS-DDIT3 condensates on trapped dsDNA can further recruit BRG1, the core subunit of SWI/SNF, to alter chromatin dynamics and rewire transcriptional programs [43]. With a similar experimental design, the human H1.4 protein is found to coalesce around nascent single-stranded DNA (ssDNA) under no tension, which can further form phase-separated condensates [44]. Combining optical tweezers and theoretical analysis, another study demonstrated that the transcription factor Klf4 adopts a concentration-mediated switch-like transition from an absorbed state to a condensed state in a sequence-dependent manner when binding to DNA, which follows a heterogeneous Ising model [45]. Hence, optical tweezers provide a general workflow to visualize the condensation pattern between nucleic acids and proteins and to examine the functions of phase separation to regulate biological activities via further biomolecule recruitment.

Figure 2 .


Figure 2

The schematic diagram of optical tweezers

Optical tweezers can (A) reveal the nucleation sites on the single nucleic acid strands and (B) characterize the fused fraction among total condensates and their fusion time.

Due to different refractive indices relative to the diluted phase, the condensates can be directly captured by a dual-trap system and brought into proximity to quantify their fusion behaviors ( Figure 2B). Condensates with fluid properties can fuse into one droplet quickly, while those that possess solid-like properties will take much longer time to fuse or resist full coalescence [ 44, 46, 47] . An interesting study revealed that the fusion of two micrometer-sized hollow nucleoprotein-RNA condensates quickly reforms a new hollow condensate with a single compartment, indicating the formation of vesicle-like ordered assemblies [48]. Optical tweezer-controlled fusion is an effective and quantitative indicator to characterize whether a condensate is fully or partially liquid-like or solid-like even though its shape remains spherical.

DNA curtains

DNA curtains are novel high-throughput assays to visualize protein-nucleic acid interactions in real time, which combine nanofabricated surface structure, lipid bilayer-coated glass slide, and hydrodynamic force to align hundreds or even thousands of DNA molecules into designed patterns in a flow cell for single-molecule fluorescence measurements [49]. The lipid bilayer-coated glass slide is used for surface passivation and DNA immobilization. Based on specific experimental requirements, single-tethered curtains are constructed by anchoring only one end of long ssDNA or dsDNA strands, which are stretched in the flow chamber by continuous buffer flow, to the lipid bilayer, whereas double-tethered curtains are constructed by anchoring both ends of DNAs across nanostructures in the chamber without the need for continuous buffer flow. Usually, fluorophore-labeled proteins are loaded into the flow cell, and interactions between proteins and nucleic acids can be imaged by fluorescence microscopy.

Shrinkage of DNA length and compaction rate are two major parameters quantified by DNA curtains to indicate the phase separation abilities of different proteins with DNA ( Figure 3). For instance, DNA curtains have been applied to visualize how HP1α and VRN1 compact into condensates on DNA molecules, offering direct access to spatiotemporal information at the millisecond timescale [ 5052] . According to the results of DNA curtains, the action of wild-type HP1α to DNA is cooperative with an initial appearance of single puncta followed by rapid compaction, while N-terminal phosphorylated HP1α exhibits multiple puncta with a slower compaction rate, indicating the cooperative binding to DNA is disturbed by phosphorylation [51]. Moreover, owing to the high-throughput nature of DNA curtains, fluorescence imaging enables researchers to directly and quantitatively identify the modulatory roles of DNA in LLPS. In a study conducted on FET fusion oncoproteins, DNA curtains revealed the preferred binding and nucleation sites, the threshold number of DNA elements to enhance condensation formation, and the transcription activity enhanced by the recruitment of Pol II CTD to the FUS-Gal4 condensates, none of which can be efficiently unraveled by traditional ensemble methods [53].

Figure 3 .


Figure 3

The schematic diagram of DNA curtains

Single-tethered DNA curtains achieve real-time high-throughput visualization of protein compaction on DNA.

The participation of DNA regulates the formation and fluidity of condensates in many LLPS and phase transition systems. Therefore, it is important to clarify the role of DNA. Compared to optical tweezers, which can trap one or several DNA molecules for manipulation, DNA curtains are high-throughput detection methods that cannot detect forces. The direct real-time imaging of protein recruitment, DNA compaction, and condensate formation by a single DNA strand or by adjacent DNA molecules makes DNA curtains a unique platform to examine DNA-involved condensates.

Single particle tracking

Single particle tracking (SPT) is a technology for monitoring the movement of individual molecules or particles with nanoscale precision. Normally, fluorescence signals of molecules or particles of interest are recorded in a consecutive time period, from which their locations are extracted to reconstitute movement trajectories over time for further analysis. The mean square displacement (MSD) calculated from fixed time intervals is a major parameter conveyed by SPT to quantify the diffusion behavior of the target molecules or particles or the viscosity of their surrounding environments ( Figure 4) [54].

Figure 4 .


Figure 4

The schematic diagram of SPT

SPT tracks the movement trajectories of individual molecules or particles to quantify their diffusion behaviors.

In in vitro reconstituted systems, SPT has been applied to quantify the inner viscosities of FUS and protein-nucleic acid condensates by tracking the Brownian motions of fluorescent beads within condensates [ 12, 55] . The MSD of fluorescent beads within elastin condensates decreases significantly over time, indicating the liquid-to-solid transition [56]. SPT further reveals that the structural properties of guest molecules determine their diffusion dynamics within FUS condensates [57]. Besides fluorescence microscopy, dark-field microscopy has been used to simultaneously track the diffusion dynamics of multiple gold nanorods within protein condensates, revealing the spatiotemporal heterogeneity of phase separation [58]. By recording the diffusion behaviors of probes inside condensates, SPT characterizes the fluidity of condensates, which is helpful to monitor the liquid-to-solid transition and to map the heterogeneity of condensates.

SPT is also capable of tracking the movements of individual molecules within living cells. The spatial and temporal localization and regulation of mRNAs under stress conditions are examined, showing the translation and degradation rates of mRNAs within stress granules and processing bodies [59]. Within the nucleoid volume, the ParB protein exhibits two distinct dynamic behaviors reflected by low mobility and high mobility, corresponding to molecules in the diluted phase and those trapped inside condensates, respectively. In addition, ParB molecules are shown to rapidly diffuse between different condensates [60]. Chromobox protein 2 nucleates on chromatin for condensate assembly to facilitate its target search process by reducing diffusion time and visiting target sites repetitively [61]. For stationary particles displaying no significant movement, SPT can extract their residence times from appearance to disappearance. Residence time quantified by SPT is a key parameter to indicate that LLPS of low complexity domains facilitates the binding of transcription factors and gene activation [26]. Furthermore, the combination of FRAP and SPT permits reliable minutes-long FRAP analysis, diminishing artifacts caused by non-uniform backgrounds [62].

Although FRAP and SPT both characterize the fluidity of condensates, SPT can directly track the motions of individual molecules and particles in vitro and in living cells, which provides insights at the molecular level to understand how LLPS and phase transition affect the movements and interactions of molecules, hence modulating biological reactions and functions.

Single-molecule fluorescence methods

Using highly-sensitive photon detectors, single-molecule fluorescence methods capture fluorescence signals from individual biomolecules to characterize intramolecular conformational dynamics and intermolecular interactions. Using fluorophore-labeled FUS proteins, single-molecule counting reveals that each RNA molecule on average accommodates more arginine mutants than WT proteins, supporting that arginine mutants form larger condensates ( Figure 5A) [63]. In addition, researchers observed that WT and glycine mutants exclude each other from engaging the same RNA molecule, suggesting that WT and glycine mutants exhibit distinctive conformations and explaining why FUS mutations in glycine do not associate with WT FUS. A study from the same group showed that poly (ADP-ribose) mainly interacts with FUS via transient interactions, which is still sufficient to induce LLPS [64]. The finding demonstrated by single-molecule counting hints that the condensates formed by different mutants are distinct at the early stage of FUS-RNA nucleation, although these condensates display similar morphologies and liquid-to-solid phase transition behaviors under fluorescence microscopes. This case provides a new avenue to study the early stage of FUS condensates and the liquid-to-solid transition of other LLPS systems.

Figure 5 .


Figure 5

The schematic diagram of single-molecule fluorescence methods

(A) Single-molecule counting captures the step-by-step increase in fluorescence signals caused by the binding of individual molecules. (B) Conformational dynamics of molecules affected by LLPS or their binding partners revealed by smFRET.

Single-molecule fluorescence resonance energy transfer (smFRET), also known as single-molecule Förster resonance energy transfer, is one of the most extensively used single-molecule methods. FRET is a distance-dependent photo-physical process during which energy is transferred nonradiatively from an excited donor fluorophore to an acceptor fluorophore [65]. The FRET transfer efficiency highly depends on the relative distance between donor and acceptor fluorophores. Thus, intramolecular conformational dynamics and intermolecular interactions, causing the change in distance between two labeling sites, can be captured by smFRET in real time ( Figure 5B).

To date, smFRET is mainly used to examine how intramolecular conformational dynamics of RNA and proteins are affected by LLPS or by their binding partners in LLPS. The dynamic information is hard to access using other structural biological approaches due to the intrinsically disordered nature of proteins and the liquid-like property of condensates. Tau protein has been shown to exhibit extended conformations in crowded environments to facilitate intermolecular interactions and to allow the formation of nano-clusters [66]. Separate studies have revealed that the disordered region of nucleophosmin protein and poly-uridine RNA both display extended conformations and increased dynamics on the pathway to phase separation [ 6769] . The conformational dynamics of RNA revealed by smFRET upon RNA-FUS interactions, is a molecular indicator to reveal the propensity for losing condensates fluidity [ 63, 70, 71] . WT FUS induces RNA to spontaneously fluctuate among several FRET states, whereas arginine and glycine mutants suppress the dynamics of RNA and are prone to form larger and solid-like condensates. Ubiquilin 2 increases the dynamics of RNA in the presence of FUS, which corresponds to its ability to suppress FUS stress granule formation in cells. Overall, smFRET provides direct access to the intramolecular conformational dynamics and binding dynamics between biomolecules. The molecular clues to understand the interplay between molecular dynamics and condensate formation are of great value to unravel the mechanism of liquid-to-solid transition.

Fluorescence correlation spectroscopy

Fluorescence correlation spectroscopy (FCS) uses correlation analysis to extract the dynamic properties of any physical and chemical processes altering the fluorescence intensities of individual molecules. FCS measurements are performed with confocal fluorescence microscopes, which focus the excitation laser beams into diffraction-limited focal spots. Diffusion of fluorophore-labeled molecules and particles in and out of the laser focal spots leads to sudden changes in fluorescent signals, from which FCS measurements quantify the average dwell times of molecules and particles within the focal volumes to estimate their diffusion coefficients and hydrodynamic radii [72]. In addition, the number of fluorophore-labeled molecules or particles can be directly quantified ( Figure 6A).

Figure 6 .


Figure 6

The schematic diagram of FCS and FCCS

(A) FCS differentiates protein monomers and condensates by their different diffusion coefficients and maps the inner fluidity within condensates. (B) Size, growth rate, stoichiometry, and binding affinity of multi-component condensates at the nanoscale can be quantified by FCCS.

FCS can be performed in vitro and in living cells. In 1998, FCS was used to detect single Aβ aggregates in the cerebrospinal fluid of Alzheimer’s disease patients [73]. Aβ aggregates in the samples from patients serve as seeds to facilitate aggregation of fluorescence-labeled Aβ, leading to high-intensity peaks and long diffusion times, whereas fluorescence-labeled Aβ in the control samples does not aggregate under experimental conditions and exhibits almost no high-intensity peak, demonstrating that FCS is capable of detecting aggregations in clinical samples. Due to the variation in the refractive index of condensate-forming systems, ultrafast-scanning FCS (usFCS) has been developed to precisely measure concentrations and diffusion coefficients in condensed and diluted phases [74]. Then, usFCS was used to characterize the full coexistence curves of LAF-1 proteins, showing that the intra-droplet concentration is surprisingly low. Diffusion coefficients of probes of different sizes within the LAF-1 condensates indicate that the effective mesh sizes of LAF-1 condensates are 3–8 nm, which is consistent with the theoretical analysis and experimental results in C. elegans embryos, suggesting that the condensates are solvent-rich and full of permeable voids to permit free diffusion of small and folded biomolecules [74]. The semi-diluted and void-rich model of LAF-1 provides a new framework for understanding the working mechanism of liquid-phase organelles. In addition, FCS measurements can reveal the heterogeneity of condensates in vitro, such as the DNA-PLL condensate, whose center and edge display different diffusion behaviors [75].

In living cells, FCS has been used to quantify intracellular protein concentration, which is essential because LLPS is concentration-dependent and the physiological concentration may vary among different cells. FCS is able to obtain precise concentrations within individual cells and correlates them with protein copy numbers in hubs formed from low-complexity domains [26]. Moreover, FCS provides higher spatial and temporal resolutions than the commonly used FRAP method to differentiate the heterogeneity of condensates within living cells. FUS and zona occludens proteins both display fast and slow diffusion components in live cells, corresponding to individual freely diffusing molecules and large soluble complexes, respectively [ 76, 77] . In addition, mutating the RNA binding domains of FUS decreases the fraction of slow diffusing RNA-FUS complexes, reduces the solubility of FUS, and enhances the LLPS of FUS according to FCS results [77].

Fluorescence cross-correlation spectroscopy (FCCS) is an extension of FCS that uses two overlapped focused laser beams to excite two fluorophores of different wavelengths [78]. FCCS is a highly sensitive quantitative method to detect signals from complexes and particles containing two kinds of fluorophores, with which condensates formed at the nanoscale have been visualized, and their sizes, growth rates, molecular stoichiometry, and binding affinities between molecules within condensates are quantified ( Figure 6B) [ 79, 80] . With this information, LLPS of cGAS and DNA has been examined to shed light on the molecular mechanisms of phase-separation-induced cyclic GMP-AMP synthase activation [81].

Due to the optical diffraction limit, most researchers mainly focus on micrometer-sized condensates. However, without the need for imaging, the FCS-based method enables examination of LLPS at the initial stage and confirms the existence of phase separation at the nanoscale, which makes it a promising tool to monitor the dynamic transition process from miscible individual molecules to multi-component condensates.

Conclusions and Perspectives

A comprehensive understanding of biomolecular condensates and aggregations is crucial to understand their biological roles in living cells. Hence, it is important to have a series of technical tools to distinguish liquid- and solid-like assemblies, track the phase transition in real time, determine their structures and mechanical properties with high spatial resolution, and characterize their dynamic and thermodynamic properties at the molecular level. In this review, we summarize the working principles and examples of several commonly used single-molecule techniques, which are highly sensitive methods to capture or even manipulate individual biomolecules ( Table 1). We showcase the power of single-molecule techniques to extract important dynamic and mechanical properties, which can rarely be measured by other ensemble methods.

Table 1 Summary of single-molecule techniques

Techniques

Applicable conditions

Unique advantages

AFM

In vitro

Direct mapping of structural heterogeneity, mechanical property, and condensation.

Optical tweezers

In vitro and in cells

Controllable nucleation and fusion events of condensates.

DNA curtains

In vitro

High-throughput examination of hundreds of DNAs and proteins.

Single particle tracking

In vitro and in cells

Capturing molecular diffusion behaviors within and outside condensates.

Examining intermolecular interactions with and without condensates.

Single-molecule counting and smFRET

In vitro

Capturing intramolecular conformational dynamics and intermolecular interactions with and without condensates.

FCS and FCCS

In vitro and in cells

Quantifying protein concentrations, diffusion coefficients, and heterogeneity within condensates.

Determining the size, growth rate, and molecular composition of nanoscale condensates.

One advantage of single-molecule techniques is that they enable direct examination of condensation under close-to-physiological conditions with high spatial resolution. For example, unlike electron microscopy which needs sample staining and fixation [ 10, 22] , AFM can track the formation of condensation in real time with nanoscale resolution. SPT, FCS, and optical tweezers are all capable to examine the dynamics of molecules and condensates in vitro and in living cells directly. In addition, due to the low sensitivity of ensemble methods, high concentrations or over-expressed biomolecules and crowding agents, such as polyethylene glycol (PEG), are usually used to induce the formation of micrometer-sized condensates [ 20, 31] , which might not represent the real physiological conditions in living cells [82]. The high sensitivity of single-molecule techniques enables researchers to capture condensates formed at the nanoscale under physiological concentrations without the need for crowding agents. Another advantage of single-molecule techniques is to directly provide quantitative measurements of nanoscale mechanical property, molecular diffusion coefficient, binding affinity, compaction rate, nucleation size, and molecular composition, all of which are essential information to understand LLPS and cannot be easily obtained by other methods. The third advantage is that various single-molecule techniques provide a broad spectrum of information from molecular dynamics to micrometer scale morphology to thoroughly understand the interplay between individual molecules and condensates, including how modulation of molecular dynamics caused by mutations alters condensation and phase transition and how phase separation and transition from liquid- to solid-state further modulate molecular dynamics and interactions within them, leading to distinctive biological outcomes.

Although single-molecule techniques exhibit several advantages over ensemble tools, the application of single-molecule techniques in LLPS and phase transition is still in the early stage. To date, optical tweezers have only been used to examine LLPS in vitro, whereas they are fully capable to manipulate particles in living cells [ 83, 84] and should be applied to examine condensates in cells in the future. Moreover, DNA curtains might be extended to RNA curtains to detect RNA-involved condensation. Other advanced techniques, such as functionalized AFM tips, multi-color FRET, polarized FCS, STED-based FCS, and high-throughput magnetic tweezers, will also benefit future research [ 8590] . Thus, single-molecule techniques will serve as an indispensable part of toolsets to dissect molecular mechanisms of LLPS-mediated biological processes and phase transition-related diseases.

COMPETING INTERESTS

The authors declare that they have no conflict of interest.

Funding Statement

This work was supported by the grants from the National Natural Science Foundation of China (Nos. 21922704, 22277063, 21877069 and 22061160466 to C.C., and 22007054 to W.W.), the Beijing Advanced Innovation Center for Structural Biology (to C.C.), and the Beijing Frontier Research Center for Biological Structure (to C.C.).

References

  • 1.Brangwynne CP, Mitchison TJ, Hyman AA. Active liquid-like behavior of nucleoli determines their size and shape in Xenopus laevis oocytes . Proc Natl Acad Sci USA. . 2011;108:4334–4339. doi: 10.1073/pnas.1017150108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Brangwynne CP, Eckmann CR, Courson DS, Rybarska A, Hoege C, Gharakhani J, Jülicher F, et al. Germline P granules are liquid droplets that localize by controlled dissolution/condensation. Science. . 2009;324:1729–1732. doi: 10.1126/science.1172046. [DOI] [PubMed] [Google Scholar]
  • 3.Fang X, Wang L, Ishikawa R, Li Y, Fiedler M, Liu F, Calder G, et al. Arabidopsis FLL2 promotes liquid-liquid phase separation of polyadenylation complexes. Nature. . 2019;569:265–269. doi: 10.1038/s41586-019-1165-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Guo YE, Manteiga JC, Henninger JE, Sabari BR, Dall′Agnese A, Hannett NM, Spille JH, et al. Pol II phosphorylation regulates a switch between transcriptional and splicing condensates. Nature. . 2019;572:543–548. doi: 10.1038/s41586-019-1464-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Neumann M, Sampathu DM, Kwong LK, Truax AC, Micsenyi MC, Chou TT, Bruce J, et al. Ubiquitinated TDP-43 in frontotemporal lobar degeneration and amyotrophic lateral sclerosis. Science. . 2006;314:130–133. doi: 10.1126/science.1134108. [DOI] [PubMed] [Google Scholar]
  • 6.Hutton M, Lendon CL, Rizzu P, Baker M, Froelich S, Houlden H, Pickering-Brown S, et al. Association of missense and 5′-splice-site mutations in tau with the inherited dementia FTDP-17. Nature. . 1998;393:702–705. doi: 10.1038/31508. [DOI] [PubMed] [Google Scholar]
  • 7.Grundke-Iqbal I, Iqbal K, Quinlan M, Tung YC, Zaidi MS, Wisniewski HM. Microtubule-associated protein tau. A component of Alzheimer paired helical filaments. J Biol Chem. . 1986;261:6084–6089. doi: 10.1016/S0021-9258(17)38495-8. [DOI] [PubMed] [Google Scholar]
  • 8.Kwiatkowski Jr TJ, Bosco DA, LeClerc AL, Tamrazian E, Vanderburg CR, Russ C, Davis A, et al. Mutations in the FUS/TLS gene on chromosome 16 cause familial amyotrophic lateral sclerosis . Science. . 2009;323:1205–1208. doi: 10.1126/science.1166066. [DOI] [PubMed] [Google Scholar]
  • 9.Kim HJ, Kim NC, Wang YD, Scarborough EA, Moore J, Diaz Z, Maclea KS, et al. Mutations in prion-like domains in hnRNPA2B1 and hnRNPA1 cause multisystem proteinopathy and ALS. Nature. . 2013;495:467–473. doi: 10.1038/nature11922. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Kato M, Han TW, Xie S, Shi K, Du X, Wu LC, Mirzaei H, et al. Cell-free formation of RNA granules: low complexity sequence domains form dynamic fibers within hydrogels. Cell. . 2012;149:753–767. doi: 10.1016/j.cell.2012.04.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Johnson BS, Snead D, Lee JJ, McCaffery JM, Shorter J, Gitler AD. TDP-43 is intrinsically aggregation-prone, and amyotrophic lateral sclerosis-linked mutations accelerate aggregation and increase toxicity. J Biol Chem. . 2009;284:20329–20339. doi: 10.1074/jbc.M109.010264. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Murakami T, Qamar S, Lin JQ, Schierle GSK, Rees E, Miyashita A, Costa AR, et al. ALS/FTD mutation-induced phase transition of FUS liquid droplets and reversible hydrogels into irreversible hydrogels impairs RNP granule function. Neuron. . 2015;88:678–690. doi: 10.1016/j.neuron.2015.10.030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Gibbons GS, Banks RA, Kim B, Changolkar L, Riddle DM, Leight SN, Irwin DJ, et al. Detection of Alzheimer disease (AD)-specific tau pathology in AD and NonAD tauopathies by immunohistochemistry with novel conformation-selective tau antibodies. J Neuropathol Exp Neurol. . 2018;77:216–228. doi: 10.1093/jnen/nly010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Hasegawa M, Arai T, Nonaka T, Kametani F, Yoshida M, Hashizume Y, Beach TG, et al. Phosphorylated TDP-43 in frontotemporal lobar degeneration and amyotrophic lateral sclerosis. Ann Neurol. . 2008;64:60–70. doi: 10.1002/ana.21425. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Neumann M, Rademakers R, Roeber S, Baker M, Kretzschmar HA, Mackenzie IRA. A new subtype of frontotemporal lobar degeneration with FUS pathology. Brain. . 2009;132:2922–2931. doi: 10.1093/brain/awp214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Patel A, Lee HO, Jawerth L, Maharana S, Jahnel M, Hein MY, Stoynov S, et al. A liquid-to-solid phase transition of the ALS protein FUS accelerated by disease mutation. Cell. . 2015;162:1066–1077. doi: 10.1016/j.cell.2015.07.047. [DOI] [PubMed] [Google Scholar]
  • 17.Nomura T, Watanabe S, Kaneko K, Yamanaka K, Nukina N, Furukawa Y. Intranuclear aggregation of mutant FUS/TLS as a molecular pathomechanism of amyotrophic lateral sclerosis. J Biol Chem. . 2014;289:1192–1202. doi: 10.1074/jbc.M113.516492. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Molliex A, Temirov J, Lee J, Coughlin M, Kanagaraj AP, Kim HJ, Mittag T, et al. Phase separation by low complexity domains promotes stress granule assembly and drives pathological fibrillization. Cell. . 2015;163:123–133. doi: 10.1016/j.cell.2015.09.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Gopal PP, Nirschl JJ, Klinman E, Holzbaur ELF. Amyotrophic lateral sclerosis-linked mutations increase the viscosity of liquid-like TDP-43 RNP granules in neurons. Proc Natl Acad Sci USA. . 2017;114:E2466–E2475. doi: 10.1073/pnas.1614462114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Wegmann S, Eftekharzadeh B, Tepper K, Zoltowska KM, Bennett RE, Dujardin S, Laskowski PR, et al. Tau protein liquid-liquid phase separation can initiate tau aggregation. EMBO J. . 2018;37:e98049. doi: 10.15252/embj.201798049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Ulianov SV, Velichko AK, Magnitov MD, Luzhin AV, Golov AK, Ovsyannikova N, Kireev II, et al. Suppression of liquid-liquid phase separation by 1,6-hexanediol partially compromises the 3D genome organization in living cells. Nucleic Acids Res. . 2021;49:10524–10541. doi: 10.1093/nar/gkab249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Lu J, Cao Q, Hughes MP, Sawaya MR, Boyer DR, Cascio D, Eisenberg DS. CryoEM structure of the low-complexity domain of hnRNPA2 and its conversion to pathogenic amyloid. Nat Commun. . 2020;11:4090. doi: 10.1038/s41467-020-17905-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Murray DT, Zhou X, Kato M, Xiang S, Tycko R, McKnight SL. Structural characterization of the D290V mutation site in hnRNPA2 low-complexity–domain polymers. Proc Natl Acad Sci USA. . 2018;115:E9782–E9791. doi: 10.1073/pnas.1806174115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Lin Y, Protter DSW, Rosen MK, Parker R. Formation and maturation of phase-separated liquid droplets by RNA-binding proteins. Mol Cell. . 2015;60:208–219. doi: 10.1016/j.molcel.2015.08.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Wheeler JR, Matheny T, Jain S, Abrisch R, Parker R. Distinct stages in stress granule assembly and disassembly. Elife. . 2016;5:e18413. doi: 10.7554/eLife.18413. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Chong S, Dugast-Darzacq C, Liu Z, Dong P, Dailey GM, Cattoglio C, Heckert A, et al. Imaging dynamic and selective low-complexity domain interactions that control gene transcription. Science. . 2018;361:eaar2555. doi: 10.1126/science.aar2555. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Majumdar A, Dogra P, Maity S, Mukhopadhyay S. Liquid-liquid phase separation is driven by large-scale conformational unwinding and fluctuations of intrinsically disordered protein molecules. J Phys Chem Lett. . 2019;10:3929–3936. doi: 10.1021/acs.jpclett.9b01731. [DOI] [PubMed] [Google Scholar]
  • 28.Liu X, Jiang S, Ma L, Qu J, Zhao L, Zhu X, Ding J. Time-dependent effect of 1,6-hexanediol on biomolecular condensates and 3D chromatin organization. Genome Biol. . 2021;22:230. doi: 10.1186/s13059-021-02455-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Kroschwald S, Maharana S, Mateju D, Malinovska L, Nüske E, Poser I, Richter D, et al. Promiscuous interactions and protein disaggregases determine the material state of stress-inducible RNP granules. Elife. . 2015;4:e06807. doi: 10.7554/eLife.06807. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Lal R, John SA. Biological applications of atomic force microscopy. Am J Physiol Cell Physiol. . 1994;266:C1–C21. doi: 10.1152/ajpcell.1994.266.1.C1. [DOI] [PubMed] [Google Scholar]
  • 31.Babinchak WM, Haider R, Dumm BK, Sarkar P, Surewicz K, Choi JK, Surewicz WK. The role of liquid-liquid phase separation in aggregation of the TDP-43 low-complexity domain. J Biol Chem. . 2019;294:6306–6317. doi: 10.1074/jbc.RA118.007222. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Boyko S, Surewicz K, Surewicz WK. Regulatory mechanisms of tau protein fibrillation under the conditions of liquid-liquid phase separation. Proc Natl Acad Sci USA. . 2020;117:31882–31890. doi: 10.1073/pnas.2012460117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Garg DK, Bhat R. Modulation of assembly of TDP-43 low-complexity domain by heparin: From droplets to amyloid fibrils. Biophys J. . 2022;121:2568–2582. doi: 10.1016/j.bpj.2022.05.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Qamar S, Wang GZ, Randle SJ, Ruggeri FS, Varela JA, Lin JQ, Phillips EC, et al. FUS phase separation is modulated by a molecular chaperone and methylation of arginine cation-π interactions. Cell. . 2018;173:720–734.e15. doi: 10.1016/j.cell.2018.03.056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Bounedjah O, Desforges B, Wu TD, Pioche-Durieu C, Marco S, Hamon L, Curmi PA, et al. Free mRNA in excess upon polysome dissociation is a scaffold for protein multimerization to form stress granules. Nucleic Acids Res. . 2014;42:8678–8691. doi: 10.1093/nar/gku582. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Abrakhi S, Kretov DA, Desforges B, Dobra I, Bouhss A, Pastré D, Hamon L. Nanoscale analysis reveals the maturation of neurodegeneration-associated protein aggregates: grown in mRNA granules then released by stress granule proteins. ACS Nano. . 2017;11:7189–7200. doi: 10.1021/acsnano.7b03071. [DOI] [PubMed] [Google Scholar]
  • 37.Singatulina AS, Hamon L, Sukhanova MV, Desforges B, Joshi V, Bouhss A, Lavrik OI, et al. PARP-1 activation directs FUS to DNA damage sites to form PARG-reversible compartments enriched in damaged DNA. Cell Rep. . 2019;27:1809–1821.e5. doi: 10.1016/j.celrep.2019.04.031. [DOI] [PubMed] [Google Scholar]
  • 38.Goldsbury C, Kistler J, Aebi U, Arvinte T, Cooper GJS. Watching amyloid fibrils grow by time-lapse atomic force microscopy. J Mol Biol. . 1999;285:33–39. doi: 10.1006/jmbi.1998.2299. [DOI] [PubMed] [Google Scholar]
  • 39.Watanabe-Nakayama T, Ono K, Itami M, Takahashi R, Teplow DB, Yamada M. High-speed atomic force microscopy reveals structural dynamics of amyloid β 1–42 aggregates . Proc Natl Acad Sci USA. . 2016;113:5835–5840. doi: 10.1073/pnas.1524807113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Adamcik J, Jung JM, Flakowski J, De Los Rios P, Dietler G, Mezzenga R. Understanding amyloid aggregation by statistical analysis of atomic force microscopy images. Nat Nanotech. . 2010;5:423–428. doi: 10.1038/nnano.2010.59. [DOI] [PubMed] [Google Scholar]
  • 41.Ashkin A, Dziedzic JM, Bjorkholm JE, Chu S. Observation of a single-beam gradient force optical trap for dielectric particles. Opt Lett. . 1986;11:288–290. doi: 10.1364/OL.11.000288. [DOI] [PubMed] [Google Scholar]
  • 42.Renger R, Morin JA, Lemaitre R, Ruer-Gruss M, Jülicher F, Hermann A, Grill SW. Co-condensation of proteins with single- and double-stranded DNA. Proc Natl Acad Sci USA. . 2022;119:e2107871119. doi: 10.1073/pnas.2107871119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Davis RB, Kaur T, Moosa MM, Banerjee PR. FUS oncofusion protein condensates recruit mSWI/SNF chromatin remodeler via heterotypic interactions between prion‐like domains. Protein Sci. . 2021;30:1454–1466. doi: 10.1002/pro.4127. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Leicher R, Osunsade A, Chua GNL, Faulkner SC, Latham AP, Watters JW, Nguyen T, et al. Single-stranded nucleic acid binding and coacervation by linker histone H1. Nat Struct Mol Biol. . 2022;29:463–471. doi: 10.1038/s41594-022-00760-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Morin JA, Wittmann S, Choubey S, Klosin A, Golfier S, Hyman AA, Jülicher F, et al. Sequence-dependent surface condensation of a pioneer transcription factor on DNA. Nat Phys. . 2022;18:271–276. doi: 10.1038/s41567-021-01462-2. [DOI] [Google Scholar]
  • 46.Kaur T, Alshareedah I, Wang W, Ngo J, Moosa M, Banerjee P. Molecular crowding tunes material states of ribonucleoprotein condensates. Biomolecules. . 2019;9:71. doi: 10.3390/biom9020071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Welsh TJ, Krainer G, Espinosa JR, Joseph JA, Sridhar A, Jahnel M, Arter WE, et al. Surface electrostatics govern the emulsion stability of biomolecular condensates. Nano Lett. . 2022;22:612–621. doi: 10.1021/acs.nanolett.1c03138. [DOI] [PubMed] [Google Scholar]
  • 48.Alshareedah I, Moosa MM, Raju M, Potoyan DA, Banerjee PR. Phase transition of RNA-protein complexes into ordered hollow condensates. Proc Natl Acad Sci USA. . 2020;117:15650–15658. doi: 10.1073/pnas.1922365117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Fazio T, Visnapuu ML, Wind S, Greene EC. DNA curtains and nanoscale curtain rods: high-throughput tools for single molecule imaging. Langmuir. . 2008;24:10524–10531. doi: 10.1021/la801762h. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Keenen MM, Brown D, Brennan LD, Renger R, Khoo H, Carlson CR, Huang B, et al. HP1 proteins compact DNA into mechanically and positionally stable phase separated domains. Elife. . 2021;10:e64563. doi: 10.7554/eLife.64563. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Larson AG, Elnatan D, Keenen MM, Trnka MJ, Johnston JB, Burlingame AL, Agard DA, et al. Liquid droplet formation by HP1α suggests a role for phase separation in heterochromatin. Nature. . 2017;547:236–240. doi: 10.1038/nature22822. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Zhou H, Song Z, Zhong S, Zuo L, Qi Z, Qu L, Lai L. Mechanism of DNA-induced phase separation for transcriptional repressor VRN1. Angew Chem Int Ed. . 2019;58:4858–4862. doi: 10.1002/anie.201810373. [DOI] [PubMed] [Google Scholar]
  • 53.Zuo L, Zhang G, Massett M, Cheng J, Guo Z, Wang L, Gao Y, et al. Loci-specific phase separation of FET fusion oncoproteins promotes gene transcription. Nat Commun. . 2021;12:1491. doi: 10.1038/s41467-021-21690-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Qian H, Sheetz MP, Elson EL. Single particle tracking. Analysis of diffusion and flow in two-dimensional systems. Biophys J. . 1991;60:910–921. doi: 10.1016/S0006-3495(91)82125-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Alshareedah I, Thurston GM, Banerjee PR. Quantifying viscosity and surface tension of multicomponent protein-nucleic acid condensates. Biophys J. . 2021;120:1161–1169. doi: 10.1016/j.bpj.2021.01.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Vidal Ceballos A, Díaz A JA, Preston JM, Vairamon C, Shen C, Koder RL, Elbaum-Garfinkle S. Liquid to solid transition of elastin condensates. Proc Natl Acad Sci USA. . 2022;119:e2202240119. doi: 10.1073/pnas.2202240119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Kamagata K, Iwaki N, Kanbayashi S, Banerjee T, Chiba R, Gaudon V, Castaing B, et al. Structure-dependent recruitment and diffusion of guest proteins in liquid droplets of FUS. Sci Rep. . 2022;12:7101. doi: 10.1038/s41598-022-11177-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Pan Q, Sun D, Xue J, Hao J, Zhao H, Lin X, Yu L, et al. Real-time study of protein phase separation with spatiotemporal analysis of single-nanoparticle trajectories. ACS Nano. . 2021;15:539–549. doi: 10.1021/acsnano.0c05486. [DOI] [PubMed] [Google Scholar]
  • 59.Wilbertz JH, Voigt F, Horvathova I, Roth G, Zhan Y, Chao JA. Single-molecule imaging of mRNA localization and regulation during the integrated stress response. Mol Cell. . 2019;73:946–958.e7. doi: 10.1016/j.molcel.2018.12.006. [DOI] [PubMed] [Google Scholar]
  • 60.Guilhas B, Walter JC, Rech J, David G, Walliser NO, Palmeri J, Mathieu-Demaziere C, et al. ATP-driven separation of liquid phase condensates in bacteria. Mol Cell. . 2020;79:293–303.e4. doi: 10.1016/j.molcel.2020.06.034. [DOI] [PubMed] [Google Scholar]
  • 61.Kent S, Brown K, Yang C, Alsaihati N, Tian C, Wang H, Ren X. Phase-separated transcriptional condensates accelerate target-search process revealed by live-cell single-molecule imaging. Cell Rep. . 2020;33:108248. doi: 10.1016/j.celrep.2020.108248. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Belyy V, Tran NH, Walter P. Quantitative microscopy reveals dynamics and fate of clustered IRE1α. Proc Natl Acad Sci USA. . 2020;117:1533–1542. doi: 10.1073/pnas.1915311117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Rhine K, Makurath MA, Liu J, Skanchy S, Lopez C, Catalan KF, Ma Y, et al. ALS/FTLD-Linked Mutations in FUS glycine residues cause accelerated gelation and reduced interactions with wild-type FUS. Mol Cell. . 2020;80:666–681.e8. doi: 10.1016/j.molcel.2020.10.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Rhine K, Dasovich M, Yoniles J, Badiee M, Skanchy S, Ganser LR, Ge Y, et al. Poly(ADP-ribose) drives condensation of FUS via a transient interaction. Mol Cell. . 2022;82:969–985.e11. doi: 10.1016/j.molcel.2022.01.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Ha T, Enderle T, Ogletree DF, Chemla DS, Selvin PR, Weiss S. Probing the interaction between two single molecules: fluorescence resonance energy transfer between a single donor and a single acceptor. Proc Natl Acad Sci USA. . 1996;93:6264–6268. doi: 10.1073/pnas.93.13.6264. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Wen J, Hong L, Krainer G, Yao QQ, Knowles TPJ, Wu S, Perrett S. Conformational expansion of tau in condensates promotes irreversible aggregation. J Am Chem Soc. . 2021;143:13056–13064. doi: 10.1021/jacs.1c03078. [DOI] [PubMed] [Google Scholar]
  • 67.Elbaum-Garfinkle S, Kim Y, Szczepaniak K, Chen CCH, Eckmann CR, Myong S, Brangwynne CP. The disordered P granule protein LAF-1 drives phase separation into droplets with tunable viscosity and dynamics. Proc Natl Acad Sci USA. . 2015;112:7189–7194. doi: 10.1073/pnas.1504822112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Mitrea DM, Cika JA, Guy CS, Ban D, Banerjee PR, Stanley CB, Nourse A, et al. Nucleophosmin integrates within the nucleolus via multi-modal interactions with proteins displaying R-rich linear motifs and rRNA. Elife. 2016, 5: e13571 . [DOI] [PMC free article] [PubMed]
  • 69.Mitrea DM, Cika JA, Stanley CB, Nourse A, Onuchic PL, Banerjee PR, Phillips AH, et al. Self-interaction of NPM1 modulates multiple mechanisms of liquid-liquid phase separation. Nat Commun. . 2018;9:842. doi: 10.1038/s41467-018-03255-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Alexander EJ, Ghanbari Niaki A, Zhang T, Sarkar J, Liu Y, Nirujogi RS, Pandey A, et al. Ubiquilin 2 modulates ALS/FTD-linked FUS–RNA complex dynamics and stress granule formation. Proc Natl Acad Sci USA. . 2018;115:E11485–E11494. doi: 10.1073/pnas.1811997115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Niaki AG, Sarkar J, Cai X, Rhine K, Vidaurre V, Guy B, Hurst M, et al. Loss of dynamic RNA interaction and aberrant phase separation induced by two distinct types of ALS/FTD-linked FUS mutations. Mol Cell. . 2020;77:82–94.e4. doi: 10.1016/j.molcel.2019.09.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Magde D, Elson EL, Webb WW. Fluorescence correlation spectroscopy. II. An experimental realization. Biopolymers. . 1974;13:29–61. doi: 10.1002/bip.1974.360130103. [DOI] [PubMed] [Google Scholar]
  • 73.Pitschke M, Prior R, Haupt M, Riesner D. Detection of single amyloid β-protein aggregates in the cerebrospinal fluid of Alzheimer’s patients by fluorescence correlation spectroscopy. Nat Med. . 1998;4:832–834. doi: 10.1038/nm0798-832. [DOI] [PubMed] [Google Scholar]
  • 74.Wei MT, Elbaum-Garfinkle S, Holehouse AS, Chen CCH, Feric M, Arnold CB, Priestley RD, et al. Phase behaviour of disordered proteins underlying low density and high permeability of liquid organelles. Nat Chem. . 2017;9:1118–1125. doi: 10.1038/nchem.2803. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Shakya A, King JT. DNA local-flexibility-dependent assembly of phase-separated liquid droplets. Biophys J. . 2018;115:1840–1847. doi: 10.1016/j.bpj.2018.09.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Beutel O, Maraspini R, Pombo-García K, Martin-Lemaitre C, Honigmann A. Phase separation of zonula occludens proteins drives formation of tight junctions. Cell. . 2019;179:923–936.e11. doi: 10.1016/j.cell.2019.10.011. [DOI] [PubMed] [Google Scholar]
  • 77.Maharana S, Wang J, Papadopoulos DK, Richter D, Pozniakovsky A, Poser I, Bickle M, et al. RNA buffers the phase separation behavior of prion-like RNA binding proteins. Science. . 2018;360:918–921. doi: 10.1126/science.aar7366. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Schwille P, Meyer-Almes FJ, Rigler R. Dual-color fluorescence cross-correlation spectroscopy for multicomponent diffusional analysis in solution. Biophys J. . 1997;72:1878–1886. doi: 10.1016/S0006-3495(97)78833-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Peng S, Li W, Yao Y, Xing W, Li P, Chen C. Phase separation at the nanoscale quantified by dcFCCS. Proc Natl Acad Sci USA. . 2020;117:27124–27131. doi: 10.1073/pnas.2008447117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Yao Y, Wang W, Chen C. Quantifying phase separation at the nanoscale by dual-color fluorescence cross-correlation spectroscopy (dcFCCS) Biophys Rep. . 2022;8:29–41. doi: 10.52601/bpr.2022.210026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Yao Y, Wang W, Chen C. Mechanisms of phase-separation-mediated cGAS activation revealed by dcFCCS. PNAS Nexus. 2022, 1: pgac109 . [DOI] [PMC free article] [PubMed]
  • 82.Mitchison TJ. Colloid osmotic parameterization and measurement of subcellular crowding. Mol Biol Cell. 2019, 30: 173–180 . [DOI] [PMC free article] [PubMed]
  • 83.Ashkin A, Dziedzic JM, Yamane T. Optical trapping and manipulation of single cells using infrared laser beams. Nature. . 1987;330:769–771. doi: 10.1038/330769a0. [DOI] [PubMed] [Google Scholar]
  • 84.Hendricks AG, Holzbaur ELF, Goldman YE. Force measurements on cargoes in living cells reveal collective dynamics of microtubule motors. Proc Natl Acad Sci USA. . 2012;109:18447–18452. doi: 10.1073/pnas.1215462109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Honigmann A, Mueller V, Ta H, Schoenle A, Sezgin E, Hell SW, Eggeling C. Scanning STED-FCS reveals spatiotemporal heterogeneity of lipid interaction in the plasma membrane of living cells. Nat Commun. . 2014;5:5412. doi: 10.1038/ncomms6412. [DOI] [PubMed] [Google Scholar]
  • 86.Yamamoto J, Matsui A, Gan F, Oura M, Ando R, Matsuda T, Gong JP, et al. Quantitative evaluation of macromolecular crowding environment based on translational and rotational diffusion using polarization dependent fluorescence correlation spectroscopy. Sci Rep. . 2021;11:10594. doi: 10.1038/s41598-021-89987-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Yam CM, Xiao Z, Gu J, Boutet S, Cai C. Modification of silicon AFM cantilever tips with an oligo(ethylene glycol) derivative for resisting proteins and maintaining a small tip size for high-resolution imaging. J Am Chem Soc. . 2003;125:7498–7499. doi: 10.1021/ja0350435. [DOI] [PubMed] [Google Scholar]
  • 88.Lee J, Lee TH. How protein binding sensitizes the nucleosome to histone H3K56 acetylation. ACS Chem Biol. . 2019;14:506–515. doi: 10.1021/acschembio.9b00018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Janissen R, Arens MMA, Vtyurina NN, Rivai Z, Sunday ND, Eslami-Mossallam B, Gritsenko AA, et al. Global DNA compaction in stationary-phase bacteria does not affect transcription. Cell. . 2018;174:1188–1199.e14. doi: 10.1016/j.cell.2018.06.049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Gosse C, Croquette V. Magnetic tweezers: micromanipulation and force measurement at the molecular level. Biophys J. . 2002;82:3314–3329. doi: 10.1016/S0006-3495(02)75672-5. [DOI] [PMC free article] [PubMed] [Google Scholar]

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