Jianhui Liu1, Fariza Zhorabek1, Xin Dai2, Jinqing Huang2, Ying Chau1. 1. Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China. 2. Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China.
Abstract
Liquid-liquid phase separation (LLPS) is an emerging and universal mechanism for intracellular organization, particularly, by forming membraneless organelles (MLOs) hosting intrinsically disordered proteins (IDPs) as scaffolds. Genetic engineering is generally applied to reconstruct IDPs harboring over 100 amino acid residues. Here, we report the first design of synthetic hybrids consisting of short oligopeptides of fewer than 10 residues as "stickers" and dextran as a "spacer" to recapitulate the characteristics of IDPs, as exemplified by the multivalent FUS protein. Hybrids undergo LLPS into micron-sized liquid droplets resembling LLPS in vitro and in living cells. Moreover, the droplets formed are capable of recruiting proteins and RNAs and providing a favorable environment for a biochemical reaction with highly enriched components, thereby mimicking the function of natural MLOs. This simple yet versatile model system can help elucidate the molecular interactions implicated in MLOs and pave ways to a new type of biomimetic materials.
Liquid-liquid phase separation (LLPS) is an emerging and universal mechanism for intracellular organization, particularly, by forming membraneless organelles (MLOs) hosting intrinsically disordered proteins (IDPs) as scaffolds. Genetic engineering is generally applied to reconstruct IDPs harboring over 100 amino acid residues. Here, we report the first design of synthetic hybrids consisting of short oligopeptides of fewer than 10 residues as "stickers" and dextran as a "spacer" to recapitulate the characteristics of IDPs, as exemplified by the multivalent FUS protein. Hybrids undergo LLPS into micron-sized liquid droplets resembling LLPS in vitro and in living cells. Moreover, the droplets formed are capable of recruiting proteins and RNAs and providing a favorable environment for a biochemical reaction with highly enriched components, thereby mimicking the function of natural MLOs. This simple yet versatile model system can help elucidate the molecular interactions implicated in MLOs and pave ways to a new type of biomimetic materials.
Cellular
metabolism requires precise spatiotemporal regulation
of numerous biomolecules. Besides lipid bilayer membrane-delimited
compartmentalization,[1] membraneless organelles
(MLOs) formed by liquid–liquid phase separation (LLPS) provide
another universal intracellular organization. MLOs have aroused intense
interests from multidisciplinary scientists owing to the ubiquitous
biological implications in cellular physiology and disease.[2,3] In contrast to the stable and static amyloid-like structures,[4] MLO structures are labile, dynamic, and reversible.[5] Most MLOs contain IDPs harboring low-complexity
domains,[6] which are responsible for driving
LLPS via weak and multivalent interactions. Reported in natural living
cells[7−10] and reconstituted systems in vitro,[11−15] large low-complexity domains[8,12,16] (usually over 100 residues) or engineered
proteins harboring low-complexity domains[11−13] are the building
blocks for LLPS. Notwithstanding, a chemically synthetic construct
to recapitulate the essential features of IDP is yet to be reported.The intricate molecular interactions implicated in IDPs can be
depicted using a simplified “stickers-and-spacers”[17] framework derived from Flory–Huggins
theory, wherein the mean-field free energy was enhanced from “sticker”
interactions.[18] Modules driving molecular
attractions are considered as “stickers”, while modules
providing a flexible linkage between “stickers” with
no significant attractions are considered as “spacers”.[18] Taking a reductionist approach, we reason that
the “stickers-and-spacers”[18] interaction mode with prominent multivalency[12,19,20] can help extract the molecular determinants
of LLPS of IDPs. Hence, we are inspired to employ a bottom-up and
minimalist approach to design biomimetics of the scaffolding proteins
of MLOs, which we term “IDP-mimicking polymer–oligopeptide
hybrid” (IPH). We aim to create a simplified model system with
concise and well-defined interaction modules to help elucidate biological
LLPS from the molecular level as well as to synthesize artificial
MLOs and evaluate their properties. IPH was chemically synthesized
by grafting hydrophilic, flexible polymer chains (as the “spacers”)
with weakly interacting, low-complexity-domain-derived, short oligopeptides
(as the “stickers”). The key molecular characteristics,
including molecular weights, patterning, and composition of structural
motifs were chosen to mimic natural IDPs. We employed turbidimetry
and optical microscopy for characterizing micron-sized liquid droplet
formation as well as fluorescence recovery after photobleaching (FRAP)
for characterizing molecular dynamics in a condensed phase. The LLPS
behavior was further investigated for IPH with modulated structural
parameters, namely, the degree of modification[21] (DM) of the peptide, the molecular weight (MW) of the polymer,
and the tyrosine/arginine ratio (Y/R).MLOs are hubs for numerous
intricate biochemical reactions, owing
to the coexistence of compartmentalized structures and high dynamics
of molecules.[2] Generally hosting protein
and RNA, MLOs, being ubiquitous in both cytoplasm[22] and nucleus,[23] are widely implicated
in multifaceted RNA metabolism.[24] We thus
evaluate the hypothesis that artificial MLOs can harbor certain functions
of natural MLOs, including the preferential and reversible recruitment
of cargo proteins, RNA molecules, and enhancement of the biochemical
reactions.
Results and Discussion
FUS-Mimicking IPH Forms Droplets via LLPS
In Vitro
As a general structural feature, IDPs contain binding
elements with
high valency and modest affinity, between which long and flexible
linkers are interspersed.[25] We hypothesize
IDP-mimicking hybrid materials with multivalent weak molecular interactions
could undergo LLPS to form MLO-like compartments. We designed and
synthesized IPH via grafting CGGSYSGYS/CGGRGG dual peptides to vinylsulfone-modified
dextran (Dex–VS), which aims to recapitulate the structural
features of FUS, a representative IDP (Figure a). We chose charge-neutral dextran as the
backbone material because of its hydrophilicity, good biocompatibility,
and disordered and flexible random-coil-like nature of the polymeric
chains,[26] which are essential molecular
features of “spacer” modules of IDPs. The hydroxyl groups
on the dextran backbone were functionalized with thiol-reactive vinylsulfone
(VS) groups[21] to provide chemical anchorage
points for oligopeptides. 1H NMR was applied to quantify
the DMs (Figure S1b,c).
Figure 1
Chemical structure of
IPH* and behavior indicative of liquid–liquid
phase separation. (a) Schematic structure of IPH*. Vinylsulfone-modified
dextran is conjugated to two types of thiolated oligopeptides, with
sequences as shown. (b) Formation of micron-sized droplets and associated
turbidity change (left, left cuvette: IPH* solution; right cuvette:
cognate buffer for comparison) and images of IPH* droplets under light
microscope (right). Scale bar, 20 μm. (c–e) Liquid-like
nature of IPH* droplets indicated by wetting phenomenon (glass without
passivation, scale bar, 20 μm, c), fusion event (induced by
optical tweezer, scale bars, 5 μm, d), and FRAP (measuring both
internal and external molecular rearrangement, scale bars, 10 μm,
e). Unless otherwise specified, in this paper, the concentration of
IPH* used is 6 μM, and the solvent used is intracellular physiology-mimicking
buffer comprising 150 mM NaCl, 10 mM HEPES, and 10 wt % PEG 8000 at
pH 7.4.
Chemical structure of
IPH* and behavior indicative of liquid–liquid
phase separation. (a) Schematic structure of IPH*. Vinylsulfone-modified
dextran is conjugated to two types of thiolated oligopeptides, with
sequences as shown. (b) Formation of micron-sized droplets and associated
turbidity change (left, left cuvette: IPH* solution; right cuvette:
cognate buffer for comparison) and images of IPH* droplets under light
microscope (right). Scale bar, 20 μm. (c–e) Liquid-like
nature of IPH* droplets indicated by wetting phenomenon (glass without
passivation, scale bar, 20 μm, c), fusion event (induced by
optical tweezer, scale bars, 5 μm, d), and FRAP (measuring both
internal and external molecular rearrangement, scale bars, 10 μm,
e). Unless otherwise specified, in this paper, the concentration of
IPH* used is 6 μM, and the solvent used is intracellular physiology-mimicking
buffer comprising 150 mM NaCl, 10 mM HEPES, and 10 wt % PEG 8000 at
pH 7.4.Weak and reversible molecular
interactions are prevalent in low-complexity
domains and pivotal for driving LLPS.[27] Recently, short (<10 residues) reversible amyloid cores (RACs),
the low-complexity motifs of RNA-binding IDPs, such as FUS[28] (Figure S2a), TDP-43,[29] and the hnRNP family,[30] were revealed to form labile and reversible fibrils reminiscent
of structures formed by full-length IDPs, thereby indicating that
RACs could be drivers of intra- and intermolecular interactions in
MLOs. Moreover, RACs harbor aromatic residues that stabilize weak
molecular interactions and labile self-assemblies[27] that exhibit as kinked beta sheets. We thus hypothesized
that RACs could be exploited as minimalist structural motifs as the
“sticker” modules for recapitulating the LLPS behavior
of full-length IDPs.[31−33] Specifically, inspired by work reported on the FUS
protein, we designed and synthesized two peptides: cysteine-terminated
low-complexity-domain-like peptide (CGGSYSGYS) and cysteine-terminated
(arginine–glycine–glycine)-containing peptide (CGGRGG)
(Figure S2d,e). CGGSYSGYS contains a flexible
segment CGG conjugated to an aromatic-rich RAC segment (SYSGYS). 37SYSGYS42 from FUS protein can form labile fibrils
with a physiologically relevant melting temperature, namely, between
20 and 50 °C.[28] CGGRGG contains a
flexible segment CGG, linked to repeats of RGG. RGG repeats are included
for three reasons: the abundance of the RGG segment in FUS protein,[8] the dominance of the cation−π-type
interaction from tyrosine–arginine (Y–R) pairs in IDPs,[8,20,31,34,35] and the presence of a positive charge for
nucleic acid recruitment.[36,37] The thiolated ends
of both peptides enable facile conjugation to Dex–VS via a
click reaction. During the design phase, another RAC with a similar
sequence from FUS,[28]54SYSSYG59, was considered but was not adopted because of its lower
melting temperature (between 4 and 20 °C). We reason that the
interaction is too weak to engender LLPS under physiological conditions.
The hybrids constructed using oligopeptides with higher stability
were shown to form irregular assemblies (Figure S7g–i), which will be discussed later in this paper.
In the design of IPH, we also considered three molecular features
of FUS protein, namely, the size of macromolecules, the Y/R ratio,
and the patterning of RACs (Figure S2b).
One construct, termed IPH*, was designed (Figure S2a–c) and synthesized (Figure S3a) to mimic the three aspects to the greatest extent. As the molecular
module sufficient for driving LLPS,[8] the
low-complexity domains of FUS, harboring 214 residues, are mimicked
by selecting a 40 kDa dextran backbone with 247 repeating units. As
an intrinsic parameter of IDPs, governing LLPS propensity,[8] the Y/R ratio of FUS protein, equaling 0.973,
is mimicked by using an IPH with a comparable Y/R ratio (Y/R = 1.03).
The DM of CGGSYSGYS (13.3%) was chosen to allow the spacing of oligopeptide
stickers to mimic the patterning of RACs in the low-complexity domains
of FUS protein, which is slightly higher than designer DM (9.35%, Figure S2b and Supporting Methods) to ensure
sufficient driving force of LLPS.IPH* underwent LLPS to form
micron-sized droplets under physiological
conditions in vitro (Figure b), which is reminiscent of LLPS of parental full-length FUS
protein in living cells[5,38] and in vitro,[34] presumably driven by the collective contribution of promiscuous
interactions including cation−π, π–π,
and cation–cation interactions. By contrast, the simple mixing
of CGGSYSGYS and/or CGGRGG with dextran formed no phase separation
in solution (data not shown). The liquid-like nature of droplets was
confirmed by the wetting phenomenon, the fusion event, and FRAP (Figure c–e and Video S1). The droplets formed by IPH* allowed
rapid material rearrangement with apparent diffusivity Dapp = 0.0114 μm2/s, which is within the
range found for an in vitro LLPS system constructed by FUS protein[39] (Dapp = 0.002–0.016
μm2/s) and LAF-1 protein[20] (Dapp = 0.025–0.01 μm2/s). The propensity of LLPS was evaluated by the density and
size of droplets formed under microscopy as well as turbidimetry.
The extent of LLPS of IPH* depended on the ionic strength and pH conditions
(Figures a–c
and S4c). Interestingly, LLPS exhibited
the highest propensity at physiological ionic strength ([NaCl] = 150
mM), while LLPS was less sensitive to a pH change across the broad
range tested, as the arginine sites always remained predominantly
protonated (Figure b,c).[40] Nevertheless, LLPS demonstrated
some sensitivity to pH under low-ionic-strength conditions (50 mM
NaCl or lower, Figures a and S4c), while the mechanisms are not
studied in this paper. IPH* phase-separated in the absence and presence
of PEG (as a crowding agent) in a concentration-dependent fashion
(Figures d and S4a). Low-dose incorporation of crowding agent
could enhance the propensity of phase separation in a dose-dependent
manner, while high-dose incorporation could undermine the propensity
thereof (Figures e
and S4b). The upper critical solution temperature
(UCST) behavior, i.e., the higher propensity to phase-separate under
lower temperature, was characterized by a temperature-dependent turbidimetry
assay (Figure f) and
optical microscopy (Figure S4e) under physiologically
relevant concentrations, whereas LLPS gradually evolves into dispersed
solution upon heating across the 35 to 45 °C regime, reminiscent
of the UCST behavior of FUS[41] and some
other IDPs.[12,42] We employ a 1,6-hexanediol assay
to test the metastability and reversibility of IPH droplets. Generally,
assemblies of a liquid-like and labile nature can be disrupted by
1,6-hexanediol, while strong assemblies such as amyloid plaques cannot.[43−46] The dose-dependent disruption of droplets and droplet recovery after
1,6-hexanediol removal were confirmed by both a turbidimetry assay
(Figure g) and optical
microscopy (Figure S4d), supporting the
metastability and reversibility of IPH droplets, respectively.
Figure 2
Environmental
responsiveness of IPH*. (a–c) LLPS is dually
responsive to ionic strength and pH. (d,e) IPH phase-separates in
a concentration-dependent (d) and crowding condition-dependent (e)
manner. (f,g) LLPS is sensitive to temperature (f) and 1,6-hexanediol
(g) stimuli.
Environmental
responsiveness of IPH*. (a–c) LLPS is dually
responsive to ionic strength and pH. (d,e) IPH phase-separates in
a concentration-dependent (d) and crowding condition-dependent (e)
manner. (f,g) LLPS is sensitive to temperature (f) and 1,6-hexanediol
(g) stimuli.
LLPS Behavior Is Dependent
on the Molecular Property and Structure
of IPH
Valency[12,47] and “sticker–sticker”
affinity[8,47] of IDPs have been shown as the molecular
determinants of multivalent interactions driving LLPS. We thus sought
to investigate specific molecular determinants of LLPS for the IPH
system. IPHs varying in DM, MW, and Y/R ratio were synthesized (Figure S3b–d). For a systematic study,
only one parameter was changed, while the other two remained the same
as those for IPH* (Figure S12). Based on
the “stickers-and-spacers” model, we hypothesize that
DM and MW will affect the valency of interactions, while the Y/R ratio
will influence the strength of “sticker–sticker”
interactions.First, we investigated the effect of DM by oligopeptides
on phase behavior. Only IPH with DM higher than a threshold DM (22.3%
< DMthreshold < 37.9%) could exbibit LLPS under physiological
conditions in vitro, and LLPS propensity increased with increasing
DM (37.9, 50.2, and 91.7%) (Figures a and S5a,b). This is consistent
with the strong dependence of the phase behavior on the valency of
the “stickers” of IDPs, that is, higher valency allows
the formation of LLPS at lower IDP concentration.[12] All high-DM IPHs were prone to phase-separate under moderate
ionic strength, and in particular, maximum turbidity was observed
under the physiological value (150 mM NaCl) (Figures b and S5c). IPHs
with lower DMs were prone to phase-separate under alkaline conditions,
and LLPS propensity at acidic pH increased drastically with increasing
DM (Figures c and S5d). All higher DM IPHs exhibited responsiveness
to temperature in a UCST fashion and 1,6-hexanediol in a dose-dependent
and recoverable manner. The critical temperature and the critical
1,6-hexanediol concentration (for LLPS disruption) increased with
increasing DM (Figures d,e and S5e,f).
Figure 3
Molecular structural
features modulate LLPS of IPH. (a–e)
Modulation of DM contributes to modification of LLPS propensity (a),
responsiveness to ionic strength (b), pH (c), temperature (d), and
1,6-hexanediol disruption (e). (f–j) Backbone MW of IPH affects
LLPS propensity (f), responsiveness to ionic strength (g), pH (h),
temperature (i), and 1,6-hexanediol disruption (j). (k–o) Modulation
of Y/R contributes to modification of LLPS propensity (k), responsiveness
to ionic strength (l), pH (m), temperature (n), and 1,6-hexanediol
(HDO) disruption (o). The x-axes of (b), (g), and
(l) were plotted in logarithmic scale.
Molecular structural
features modulate LLPS of IPH. (a–e)
Modulation of DM contributes to modification of LLPS propensity (a),
responsiveness to ionic strength (b), pH (c), temperature (d), and
1,6-hexanediol disruption (e). (f–j) Backbone MW of IPH affects
LLPS propensity (f), responsiveness to ionic strength (g), pH (h),
temperature (i), and 1,6-hexanediol disruption (j). (k–o) Modulation
of Y/R contributes to modification of LLPS propensity (k), responsiveness
to ionic strength (l), pH (m), temperature (n), and 1,6-hexanediol
(HDO) disruption (o). The x-axes of (b), (g), and
(l) were plotted in logarithmic scale.Next, we investigated the effect of the MW of the dextran backbone
on LLPS at a fixed mass concentration, namely, a fixed concentration
of “stickers”. The valency of IPH refers to the total
number of oligopeptide “stickers” on a single macromolecule,
which is affected by the MW of dextran backbone. The effect of branching[48] could be neglected, as the degrees of branching
(DBs) of backbone dextran with different MWs were confirmed to be
comparable[49] (Figure S1a). The valencies of IPHDex-6k, IPHDex-40k, IPHDex-550k, and IPHDex-2000k were about 15, 94, 1300, and 4605, respectively.
Higher MW IPHs could exhibit prominent LLPS under physiological conditions
(Figures f and S6a,b), in contrast with the dispersed phase
behavior of IPHDex-6k, thereby underscoring the
significance of valency for initiating LLPS. This result is consistent
with an observation of LLPS of IDP in living cells that higher valency
allows phase separation at a lower fractional saturation of “stickers”.[47] Enzymatic cleavage of the dextran backbone could
undermine LLPS in a time/dose-dependent and highly efficacious fashion,
further supporting the significance of multivalency for maintaining
LLPS (Figure S6g). A plausible explanation
is that LLPS is formed via a two-step nucleation–growth pathway.
We reason valency is essential for both the initiation (nucleation)
of phase separation and the growth of liquid droplets. At the same
mass concentration and same degree of modification, the number density
of the peptide stickers is identical independent of the MW. In other
words, the components that provide the driving force (or enthalpic
interaction) are present in the same amount. IPHs of different MWs
are marked by the difference in the distribution of the peptide stickers.
The valency is higher in IPH of a higher molecular weight, that is,
the number of peptide stickers on the polymer backbone is higher.
We reason that the higher valency favors intramolecular interaction
of stickers due to their proximity. This self-nucleation process expediates
liquid phase separation at lower mass concentration. However, a dominant
intramolecular interaction can compete with intermolecular interaction
and hinder the growth of droplet size. With a higher MW, IPH was more
prone to phase-separate under higher ionic strength (Figures g and S6c) and exhibited a robust LLPS under a wider pH range (Figures h and S6d). All phase-separated IPHs exhibited responsiveness
to temperature in a UCST fashion and 1,6-hexanediol in a dose-dependent
manner, with higher-MW IPHs showing lower sensitivity under the conditions
examined (Figures i,j and S6e,f). Notably, IPH* (IPHDex-40k), designed through structural mimicking of FUS,
could undergo prominent LLPS under physiological conditions (in contrast
with the dispersed state of IPHDex-6k), withstanding
a larger range of ionic strength and showing more responsiveness to
temperature and 1,6-hexanediol (in comparison to MW IPHDex-2000k). IPHs of medium MW (IPHDex-40k and IPHDex-550k) exhibited similar phase separation behavior, suggesting that under
conditions where fractional saturation of stickers is fixed, an optimal
window of valency exists.We further investigated the effect
of the tyrosine/arginine (Y/R)
ratio on the LLPS behavior. IPHs with varying Y/R ratios were able
to undergo LLPS, despite differing in the extent (Figures k and S7a,b). As indicated by the turbidity measurement, IPHs phase-separated
to a lesser extent at Y/R = 0, 0.268, and ∞ and more prominently
at the intermediate Y/R values of 1.03 and 3.25 (Figures k and S7a,b). For IPH with Y/R = ∞, only CGGSYSGYS oligopeptides
are present. The result indicates that the RAC-harboring “stickers”
CGGSYSGYS alone are sufficient to drive LLPS and recapitulate the
formation of micron-sized liquid compartments by FUS, in contrast
to the irregular solid assemblies formed by Aβ peptide-inspired
conjugates (Figures S2d,e, S3e, and S7g). Two RAC peptides NFGAFS[29] and SGYDYS[30] with higher melting temperatures (stability),
namely, higher than 70 and 50 °C, respectively, were also used
to construct hybrids with dextran. Both hybrid constructs form only
irregular assemblies under physiological conditions (Figure S7h,i), thus suggesting weak molecular interactions
are crucial for LLPS. The addition of CGGRGG, the charge-containing
oligopeptides, to IPH was found to increase the responsiveness of
LLPS to changes in ionic strength (Figures l and S7c). IPHs
at all Y/R ratios showed UCST phase behavior (Figures n and S7e) and
1,6-hexanediol responsiveness (Figures o and 7f), reflecting the
labile and dynamic nature of phase-separated liquid droplets. Note
that the extent of LLPS of IPH* (Y/R = 1.03) was most sensitive to
changes in ionic strength (Figures l and S7c), temperature
(Figures n and S7e), and 1,6-hexanediol (Figures o and S7f) while
remaining robust over a broader range of pH (Figures m and S7d). The
stimuli-responsive behavior of an IPH system containing dual peptides
should be beneficial for imparting functions, such as the reversible
recruitment and release of biomolecules. In addition, we tested the
simple mixing of dextran–CGGSYSGYS and dextran–CGGRGG
(with fluorescence labeling), which can also form droplets similar
to IPH*, with the homogeneous distribution of both hybrid macromolecules
within droplets (Figure S13).
IPH* Droplets
as Artificial MLOs
The LLPS of IPH* implies
potential of displaying functionalities of natural MLOs. MLOs act
as subcellular condensates that enrich various biomolecules including
RNA and proteins[50,51] and host biochemical reactions.[2] Thus, we investigated whether IPH* droplets could
function as artificial MLOs, in terms of preferential recruitment
of compositional macromolecules and compartmentalized reaction enhancement.
Model RNA and protein molecules, namely, polyuridylic acid (polyU)
and green fluorescent protein (GFP), were both recruited and highly
enriched within artificial MLOs with 716 (±132)- and 102 (±29.8)-fold
enrichment, respectively (Figure a,b and Table S1). Additionally,
the horseradish peroxidase (HRP) enzyme was enriched within artificial
MLOs by 246 ± 65.5-fold (Table S1).
Notably, for polyU and HRP, the enhancement of fluorescence intensity
is one order of magnitude lower compared with the calculated enrichment
of cargoes (Figure S14), presumably owing
to the quenching effect of fluorophores. The charge–charge
attractions between arginine residues from IPH* and phosphate groups
and the aromatic interactions between tyrosine residues of IPH* and
uracil of polyU could explain the recruitment of RNA. Similarly, the
favorable enrichment of GFP could be attributed to nonspecific charge–charge
and aromatic interactions between IPH* and the protein. Moreover,
artificial MLOs demonstrate reversible release and recruitment of
GFP and polyU in response to temperature change in physiologically
relevant range (Figure a, b). Addition of polyU was found to promote the LLPS of IPH* when
the amount reached a stoichiometric ratio or above (Figure S8b,c), presumably by reinforcing the network interactions
within droplets. Note that sphericity was maintained for all the RNA-containing
condensates, implying the preservation of the liquid-like property.
Other model RNAs (polyA and tRNA) tested also showed a similar modulation
of IPH*’s LLPS behavior (Figure S8d,e).
Figure 4
Dynamic recruitment and release of cargoes from artificial MLOs.
(a) Protein (GFP at 60 μg/mL loading). (b) RNA (polyU incorporated
at N/P = 0.01, methylene blue added
at 25 μM). IPH* droplets release protein/RNA upon heating to
45 °C, concomitant with droplet dissolution, whereas recruiting
protein/RNA upon recooling to 25 °C is concomitant with droplet
formation. Scale bars, 10 μm.
Dynamic recruitment and release of cargoes from artificial MLOs.
(a) Protein (GFP at 60 μg/mL loading). (b) RNA (polyU incorporated
at N/P = 0.01, methylene blue added
at 25 μM). IPH* droplets release protein/RNA upon heating to
45 °C, concomitant with droplet dissolution, whereas recruiting
protein/RNA upon recooling to 25 °C is concomitant with droplet
formation. Scale bars, 10 μm.Next, we demonstrated the possibility to carry out compartmentalized
catalysis using HRP-catalyzed decomposition of hydrogen peroxide as
a model reaction with the fluorescent resorufin as a reporting molecule
(Figure a). HRP was
enriched in IPH* droplets by 246 (±65.5)-fold, thereby confining
the reaction inside the liquid compartment. This was confirmed by
real-time confocal imaging, which demonstrated a gradual change of
red fluorescence in the droplet interior (0–480 s) (Figure b). Moreover, the
increase in fluorescence signal was much faster in the condensed phase
than in the dispersed phase (Figure c), supporting that the local reaction rate was about
15 times faster in the droplet. Assuming the reaction follows Michaelis–Menten
kinetics, we estimated that Vmax increased
by 5.0-fold in the condensed phase in comparison to the dispersed
phase. The turnover rate constant, kcat, was lower in the condensed phase, at 2.0% that of the dispersed
phase (Figure S10 and Supporting Information). The reduced kcat can be explained
by the higher viscosity of the condensed phase. Thus, the overall
increase in reaction rate in artificial MLOs is attributed to the
enzyme enrichment. Combined reactions (in both condensed and dispersed
phase) were quantified by a time-dependent absorbance change of resorufin
in bulk solution. The bulk reaction rate in the presence of LLPS was
also higher than that in the absence of LLPS (v0 = 51 ± 2.2 nM·s–1 versus v0 = 22 ± 6.2 nM·s–1). Note that the enhancement of bulk reaction rate is not as significant
as the local reaction rate, owing to the limited volume fraction of
condensed phase (ϕcon = 0.32 ± 0.026%, Table S1). The enhancement of the bulk reaction
rate can be improved by increasing the extent of LLPS, as has been
achieved by increasing the concentration of IPH* and ϕcon (Figure S11). These results show that
artificial MLOs formed by IPH* have the potential not only to mimic
biophysical properties but functions of MLOs in providing a dynamic
and hierarchical organization of biomolecules.
Figure 5
Artificial MLOs formed
by IPH* as compartments for biochemical
reactions. (a) Diffusion of the hydrogen peroxide into the IPH* droplet
containing HRP initiates oxidation of the Amplex Red and its conversion
into fluorescent resorufin. (b) Time-lapse fluorescent confocal microscopy
showing production of resorufin within the IPH* droplet. (c) Average
change of fluorescence intensity over time in the interior (condensed
phase) and exterior (dispersed phase) of the IPH* droplet (n = 6). Scale bars, 10 μm.
Artificial MLOs formed
by IPH* as compartments for biochemical
reactions. (a) Diffusion of the hydrogen peroxide into the IPH* droplet
containing HRP initiates oxidation of the Amplex Red and its conversion
into fluorescent resorufin. (b) Time-lapse fluorescent confocal microscopy
showing production of resorufin within the IPH* droplet. (c) Average
change of fluorescence intensity over time in the interior (condensed
phase) and exterior (dispersed phase) of the IPH* droplet (n = 6). Scale bars, 10 μm.
Conclusion
By describing an IDP FUS with a “stickers-and-spacers”
model, we designed a minimalistic representation of the protein. The
IPH, containing short peptides derived from RACs and arginine-rich
sequences grafted onto a flexible polymer backbone, exhibited LLPS
behavior reminiscent of the formation of natural MLOs. Systematic
variation of DW, MW, the Y/R ratio further reviewed the molecular
determinants of LLPS of IPHs, and agreement was found with FUS. The
droplets formed by IPH acted as artificial MLOs, enabling recruitment
and enrichment of model RNAs and proteins and providing liquid compartments
for localizing and enhancing an enzymatic reaction. We believe that
IPHs afford simple yet useful model systems for elucidating molecular
interactions for the assembly of MLOs. As a new type of biomaterials,
IPHs create new possibilities for the dynamic delivery of proteins,
nucleic acids, as well as in situ biochemical reactions.
Authors: Pilong Li; Sudeep Banjade; Hui-Chun Cheng; Soyeon Kim; Baoyu Chen; Liang Guo; Marc Llaguno; Javoris V Hollingsworth; David S King; Salman F Banani; Paul S Russo; Qiu-Xing Jiang; B Tracy Nixon; Michael K Rosen Journal: Nature Date: 2012-03-07 Impact factor: 49.962
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