Next Article in Journal
Fabrication and Characterization of Orodispersible Composite Film from Hydroxypropylmethyl Cellulose-Crosslinked Carboxymethyl Rice Starch
Next Article in Special Issue
Investigating the Permeation Mechanism of Typical Phthalic Acid Esters (PAEs) and Membrane Response Using Molecular Dynamics Simulations
Previous Article in Journal
Preparation and Properties of Polyimide Composite Membrane with High Transmittance and Surface Hydrophobicity for Lightweight Optical System
Previous Article in Special Issue
Extracellular Vesicles as Novel Drug-Delivery Systems through Intracellular Communications
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Progress on Crowding Effect in Cell-like Structures

1
State Key Laboratory of Urban Water Resource and Environment, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, 92 West Da-Zhi Street, Harbin 150001, China
2
Interdisciplinary Nanoscience Center (iNANO), Aarhus University, 8000 Aarhus, Denmark
*
Authors to whom correspondence should be addressed.
Membranes 2022, 12(6), 593; https://doi.org/10.3390/membranes12060593
Submission received: 23 April 2022 / Revised: 27 May 2022 / Accepted: 30 May 2022 / Published: 3 June 2022
(This article belongs to the Special Issue Artificial Models of Biological Membranes)

Abstract

:
Several biological macromolecules, such as proteins, nucleic acids, and polysaccharides, occupy about 30% of the space in cells, resulting in a crowded macromolecule environment. The crowding effect within cells exerts an impact on the functions of biological components, the assembly behavior of biomacromolecules, and the thermodynamics and kinetics of metabolic reactions. Cell-like structures provide confined and independent compartments for studying the working mechanisms of cells, which can be used to study the physiological functions arising from the crowding effect of macromolecules in cells. This article mainly summarizes the progress of research on the macromolecular crowding effects in cell-like structures. It includes the effects of this crowding on actin assembly behavior, tubulin aggregation behavior, and gene expression. The challenges and future trends in this field are presented at the end of the paper.

1. Introduction

The cytoplasm is a complex and dense network system composed of proteins, nucleic acids, polysaccharides, lipids, and small molecules, which work together to maintain the basic processes of life [1,2,3]. About 30% of the space in cells is occupied by macromolecules. The concentration of all the macromolecules in the cytoplasm is as high as 80–200 g/L [4,5,6]. Elcock et al. created a visualized cytoplasmic model of Escherichia coli (E. coli) (Figure 1a) [7]. The cytoplasm of E. coli contains at least 50 different types of macromolecule, reflecting the diversity and complexity of intracellularly crowded macromolecules. All cellular biochemical processes, such as energy supply, gene expression, cell division, etc., take place in this highly crowded, confined space [8,9,10,11]. Therefore, the intracellular macromolecular crowding effect, also known as the excluded volume effect, is an important research field. This phenomenon was proposed by Minton in 1980s [12,13].
The intracellular excluded volume effect results from the presence of molecules of different sizes in cells [14,15]. In the typical model shown in Figure 1b, the large red spheres represent fewer, larger macromolecules in the cell. The purple spheres represent the abundant smaller molecules in the cell. There is no interaction between these two molecules. When larger and smaller molecules are present simultaneously in cells with limited space, there is an excluded volume layer around the large sphere that cannot be reached by the small spheres (gray annular area around the large red sphere) due to the steric effects. The number of small spheres is much larger than that of large spheres, so the small spheres play a major role in contributing to the entropy of the system. The larger spheres tend to aggregate (Figure 1c) to minimize the excluded volume, leading to the maximum amount of space for the small spheres, which consequently maximizes the entropy of the system. This phenomenon is called the crowding effect. The maximization of water entropy also contributes to the crowding effect.
Crowding conditions are created by the addition of macromolecules, such as dextran [16,17,18], seaweed polysaccharide [19], polyethylene glycol [20,21,22], hyaluronic acid [23,24], bovine serum albumin [25,26], cell extracts [27], etc. to the solution, in order to mimic the intracellular macromolecular crowding environment and further to study and explain the biological phenomena in cells. However, these systems are usually developed in solutions with large volume, which is different from cell size. In recent years, the field of cell-like structures has achieved great progresses [28,29,30,31]. The study of the intracellular macromolecular crowding effects of artificial cells has received extensive attention [32,33]. Cell-like structures have a similar volume to real cells and provide enclosed environments. Cell-like structures provide ideal platforms for simulating macromolecular crowding effects in cells [34,35].
This article summarizes the progress of research on the crowding effects in cell-like structures (confined spaces) (Table 1). Different macromolecules create a variety of crowding systems, resulting in diverse physiological functions, including actin assembly behavior, tubulin aggregation behavior, and gene expression.

2. Impact of Crowding Media on the Physical and Chemical Properties of Biological Macromolecules

Crowding media have a significant impact on the physical and chemical properties of biological molecules [49]. The aggregation of macromolecules results in an increase in the effective concentrations of functional biological molecules and a decrease in the association energy barrier, which accelerates reaction-limited biochemical processes [15]. However, crowded media act as obstacles to reduce the diffusion rates of biological molecules [50]. Therefore, under crowded conditions, diffusion-limited biochemical processes are decelerated.
Crowded environments can influence the reaction rate dramatically. Popielec et al. found that the crowding agents ficoll and polyethylene glycol (PEG) showed opposite effects on NS3/4A catalytic reaction kinetics: ficoll accelerated the reaction while PEG slowed it down [51]. The authors attributed this unexpected phenomenon to the different kinds of interactions between the protease and these crowders. The ficoll exhibited mainly hard-core repulsion to increase the concentration of substrates, while the PEG reduced the diffusion of both the enzyme and the substrates. Fuentes-Lemus et al. found that the macromolecular environment resulted in a lower available volume and increased the concentration of the reactive species, which increased the oxidation rate of free and peptide tryptophan [52].
The cytoplasm is a liquid containing a dense assemblage of proteins. When the cytoplasm is overcrowded, the viscosity increases significantly, resulting in a dramatic decrease in their mobility [53]. Miermont et al. found cytoplasmic crowding in a yeast cell due to the reduction in the cell volume by severe osmotic stress [54]. The cytoplasmic crowding caused a decrease in protein mobility and eventually led to the stalling of multiple transduction signals. Golkaram et al. investigated the mobility of biological tracer molecules in a dextran crowding environment [55]. The transcription factor mobility decreased obviously with the increasing fractions of the crowder volume, which consequently reduced the noise of the gene expression due to the increasing contact time of the transcription factor with the promoter. Junker et al. found that the mobility of larger tracer molecules was reduced in a more pronounced way in crowding conditions with PEG or ficoll polymers due to the molecular sieving effect [56].

3. Crowding Effects Induced Actin Assembly Behavior in Confined Spaces

The cytoskeleton controls the contraction of cells and participates in various functional activities, such as cell division, deformation, movement, and migration [57,58]. The extracellular assembly conditions and influencing factors of cytoskeleton proteins, such as actin, have deeply been investigated [59,60,61,62]. The cytoskeleton proteins were encapsulated in cell-like structures to study their assembly behavior in a confined space [63,64,65,66]. The crowded environments were created in cell-like structures to study the assembly behavior of the cytoskeleton [36,37,38]. As shown in Figure 2a, Miyazaki et al. used methylcellulose as a macromolecular crowder to study the polymerization behavior of actins [36]. The actin monomers were encapsulated in water droplets protected by monolayer phospholipid membrane together with methylcellulose. In the presence of the methylcellulose, the actin filaments aggregated into thick and long actin bundles distributed along the equator of the inner membrane of the droplet due to the crowding effect. In this study, the actin filaments and methylcellulose molecules played the role of large red balls and small purple balls, respectively (Figure 1b,c). The actin filaments (large red balls) contacted each other to release the free volume for methylcellulose molecules (small purple balls). The total free energy of the system decreased due to the increased entropy of the crowder. Similarly, Groen et al. encapsulated a variety of macromolecules in droplets and observed the crowding effect on FtsZ aggregation [37]. They found that the FtsZ bundles were formed by adding the polymeric crowder PEG-8000, the protein-based crowder BSA, and the E. coli lysate to the FtsZ polymerization buffer solution (Figure 2b).
Tanaka et al. encapsulated actins in giant unillamellar vesicles (GUVs) to construct artificial cells containing a cytoskeleton [38]. By increasing the concentration of actins in the GUVs, a crowded environment was created in the artificial cells, which was similar to real cells. As shown in Figure 2c, the morphology of the GUVs containing actin filaments changed from spherical to spindle when the crowded environment was formed by the high actin concentration. Under laser irradiation, actin filaments were destroyed, leading to the recovery of the GUVs’ spherical shapes. This process can be repeated multiple times, further deepening our understanding of the mechanisms of cell motility.
Since the cell membrane also contains a large number of diverse proteins and polysaccharides, the crowding of macromolecules occurs not only inside cells, but also on the cell membrane. Garenne et al. expressed the E. coli gene mreB inside GUVs composed of egg PC and lipid-PEG [39]. The crowded environments created by PEG molecules on phospholipid bilayer membranes is enough to promote the polymerization of the protein MreB at the inner membrane into a sturdy cytoskeleton capable of transforming spherical liposomes into elongated shapes, such as rod-like compartments (Figure 2d). The macromolecular crowding effect on the cell membrane has a significant impact on cell morphology and behavior. The study of the crowding phenomenon at the cell membrane provides the basis for cellular asymmetry and self-reproduction.

4. Aggregation Behavior of Tubulin in a Crowded Environment

In addition to adding macromolecules to create crowded environments in cell-like structures, phase separation is another common method to create crowded environments [67,68,69,70]. Many intrinsically disordered proteins can form liquid-like drops by phase separation [71]. Tau is one of the disordered proteins that can undergo phase separation in crowded environments to form protein droplets [72]. Tau is an important component of the microtubule cytoskeleton in neurons. In healthy brains, Tau localizes to the axons of neurons and consists of four tubulin binding domains surrounded by intrinsically disordered regions. Hyman et al. observed Tau droplet formation using dextran, polyethylene glycol, or ficoll as crowders [41]. Due to the crowding effect, the increase in the crowder entropy led to the formation of enriched phases. The tubulin partitioned into these drops to efficiently increase its concentration. The concentration inside the droplets was more than 10-fold higher than the concentration outside the droplets (Figure 3a). Microtubule bundles polymerized within the droplets to deform them into rod-like shapes. This study used the macromolecular crowding effect to generate phase-separated protein droplets. Tubulin becomes concentrated inside Tau drops, allowing microtubule nucleation inside Tau droplets. These findings have potential implications for Tau function in axonal projections.
TPX2 is an important protein in microtubule nucleation in spindles [73]. The intrinsically disordered properties of TPX2 enable its phase separation in crowded environments. As shown in Figure 3b, King et al. regulated the phase separation of TPX2 protein by adjusting the salt ion concentration in the solution [42]. The TPX2 was maintained in a high-salt (0.5 M) buffer without phase separation. When the TPX2 solution was mixed with water to decrease the concentration of the physiological salt levels (0.1 M), it underwent phase separation to form a co-condensate with tubulins. The tubulins were concentrated inside TPX2 droplets. The phase separation of TPX2 caused the tenfold improvement in the tubulin nucleation efficiency. This study demonstrated how regulated phase separation simultaneously enhances reaction efficiency and spatially coordinate microtubule nucleation, which might facilitate rapid and accurate spindle formation.
Centrosomes are non-membranous compartments in cells [74]. They consist of nanometer-scale centrioles surrounded by a micron-scale, dynamic assembly of protein called the pericentriolar material (PCM). To study how PCM forms spherical compartments that nucleate microtubules, Woodruff et al. reconstituted PCM-dependent microtubule nucleation in vitro (Figure 3c). SPD-5 is a key scaffold protein in dynamic protein assemblies [43]. The macromolecular crowding effect drives the assembly of the SPD-5 into spherical condensates that morphologically and dynamically resemble PCM in vivo. These SPD-5 condensates recruited the microtubule polymerase ZYG-9 and the microtubule-stabilizing protein TPXL-1. These three proteins concentrated the tubulin about four-fold over the background, which was sufficient to cause the nucleation of microtubule asters in vitro.
The crowded environment caused by phase separation has a significant impact on the enrichment and assembly behavior of tubulins. It provides an important method for studying the morphologies and working mechanisms of organelles and membrane-free areas inside cells.

5. Crowding Effect on Gene Expression

Cell-free protein synthesis is a rapid and high-throughput expression technology of target proteins. The exogenous DNA or mRNA is used as a template to achieve in vitro protein synthesis by supplementing substrates and energy substances [75,76,77,78]. This technique was used for studying the effects of crowding on gene expression. These multimolecular systems contain a total of about 80 different macromolecular components, including RNA polymerase, ribosomes, tRNAs, translation factors, related enzymes, etc. Stano et al. found that cell-free transcription and translation cannot be achieved at low concentrations of biomacromolecules [45]. However, when the phospholipids were added to the diluted transcription-translation solution, typical images of the vesicles were obtained (shown in Figure 4a). Green fluorescent vesicles were clearly visible against a dark background, which indicated that GFP was effectively produced inside the vesicles. This was possibly due to the formation of crowded vesicles during the assembly process, which resulted from the increase in the substrate concentration. Crowding may provide a suitable environment for the expression of genes in primitive cells at the origin of life.
The crowding effect significantly affects mass transport during transcription and translation [79,80,81]. Hansen et al. encapsulated a cell-free protein synthesis system with macromolecular crowders in droplets and presented a robust method to quantify gene expression noise in vitro [46]. They investigated the changes in noise in the cell-free gene expression of two genes compartmentalized within droplets as a function of DNA copy number and macromolecular crowding. They found that the crowded environment caused protein inhomogeneity and significantly increased noise (Figure 4b). The decreased diffusion caused by the crowded environment led to the spontaneous formation of heterogeneous mRNA microenvironments as local production rates exceeded the diffusion rates of the macromolecules. This heterogeneity directly increased the system’s noise. The crowding effect causes inhomogeneity within the cell space and has a huge impact on mass transport during transcription and translation.
Internal crowded environments are key features of cells throughout evolution, which is essential in maintaining robust gene expression. Tan et al. investigated the effect of crowding on gene expression robustness (Figure 4c) [47]. They created two parameter sets using the same mathematical model. One represented a low crowding environment, while the other represented a high crowding environment. They demonstrated that the highly crowded conditions increased the robustness of the gene expression, which was consistent with their experimental results. In cell-like structures, crowded environments can increase the robustness of gene expression. The crowding effect plays an important role in regulating system dynamics. Therefore, the effect of molecular crowding should be considered when constructing artificial cells.

6. Summary and Prospects

This article summarized the progress of research on crowding effects and their consequences in cell-like structures, including actin assembly behavior, tubulin aggregation behavior, and gene expression. The crowding effect exerts a significant impact on the physical properties and functions of cells. Although progress has been achieved using cell-like structures to simulate crowding effects, the field is still in its infancy. Using cell-like structures to closely study the impact of macromolecular crowding on the physiological activities of cells, future research may focus on the following three aspects. First, the lumen of cell-like structures is closer to the real internal environments of cells. Biomimetic microenvironments based on multiple materials have been constructed for cell culture and tissue engineering in vitro [82]. The composition of microenvironments was gradually upgraded from simple macromolecular crowding agents, such as PEG and ficolls, to biological materials that are closer to the real environments of cells, such as collagen and BSA. Macromolecules were used to investigate the effect of crowding on extracellular matrix deposition [23,83], cell differentiation [84], and cancer cell dissemination [85]. The contents of cell-like structures can comprise of real biological molecules. For example, the cytoplasmic matrix of cells, or a solution with similar composition, can serve as the lumen solution for cell-like structures. Second, more complex physiological functions can be studied in the crowded environments of cell-like structures, including the regulation of cellular homeostasis, the generation and action of stress granules, etc. Third, a large number of proteins and polysaccharides can be inserted into the cell membrane, creating a highly crowded environment. The diffusion, aggregation, and configuration of proteins are expected to be studied in crowded membranes [86]. There are two ways to mimic crowded membranes. Different proteins could be conjugated to synthetic lipids via specific interactions, e.g., polyhistidine and Ni2+-NTA [87] or streptavidin and biotin [88]. Alternatively, PEG-modified lipid molecules can be used to create crowded environments in the membranes [89]. Natural biological membranes, such as isolated cell membranes and organelle membranes, should be involved to reveal more about the effect of crowding on cell membranes. This field offers great promise for improving our understanding of working cellular mechanisms.

Author Contributions

Conceptualization, X.H., M.D. and C.L.; writing and original draft preparation, X.H., M.D., C.L. and X.Z.; review and editing, X.H., M.D., C.L. and X.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (grant no. 21929401, 22174031, and 22111540252), the Fundamental Research Funds for the Central Universities (HIT.OCEF.2021026), and the Heilongjiang Touyan Team (HITTY-20190034).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Mittal, S.; Chowhan, R.K.; Singh, L.R. Macromolecular crowding: Macromolecules friend or foe. Acta Gen. Subj. 2015, 1850, 1822–1831. [Google Scholar] [CrossRef] [PubMed]
  2. Vibhute, M.A.; Schaap, M.H.; Maas, R.J.M.; Nelissen, F.H.T.; Spruijt, E.; Heus, H.A.; Hansen, M.M.K.; Huck, W.T.S. Transcription and Translation in Cytomimetic Protocells Perform Most Efficiently at Distinct Macromolecular Crowding Conditions. ACS Synth. Biol. 2020, 9, 2797–2807. [Google Scholar] [CrossRef] [PubMed]
  3. Ellis, R.J. Macromolecular crowding: Obvious but underappreciated. Trends Biochem. Sci. 2001, 26, 597–604. [Google Scholar] [CrossRef]
  4. Mourão, M.A.; Hakim, J.B.; Schnell, S. Connecting the Dots: The Effects of Macromolecular Crowding on Cell Physiology. Biophys. J. 2014, 107, 2761–2766. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. van den Berg, J.; Boersma, A.J.; Poolman, B. Microorganisms maintain crowding homeostasis. Nat. Rev. Microbiol. 2017, 15, 309–318. [Google Scholar] [CrossRef]
  6. Zhou, H.-X.; Rivas, G.; Minton, A.P. Macromolecular Crowding and Confinement: Biochemical, Biophysical, and Potential Physiological Consequences. Annu. Rev. Biophys. 2008, 37, 375–397. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. McGuffee, S.R.; Elcock, A.H. Diffusion, crowding & protein stability in a dynamic molecular model of the bacterial cytoplasm. PLoS Comput. Biol. 2010, 6, e1000694. [Google Scholar]
  8. Ge, X.; Luo, D.; Xu, J. Cell-free protein expression under macromolecular crowding conditions. PLoS ONE 2011, 6, e28707. [Google Scholar] [CrossRef]
  9. Zhao, H.; Ibrahimova, V.; Garanger, E.; Lecommandoux, S. Dynamic Spatial Formation and Distribution of Intrinsically Disordered Protein Droplets in Macromolecularly Crowded Protocells. Angew. Chem. Int. Ed. 2020, 132, 11121–11129. [Google Scholar] [CrossRef]
  10. Kulothungan, S.R.; Das, M.; Johnson, M.; Ganesh, C.; Varadarajan, R. Effect of Crowding Agents, Signal Peptide, and Chaperone SecB on the Folding and Aggregation of E. coli Maltose Binding Protein. Langmuir 2009, 25, 6637–6648. [Google Scholar] [CrossRef]
  11. Kuznetsova, I.M.; Turoverov, K.K.; Uversky, V.N. What Macromolecular Crowding Can Do to a Protein. Int. J. Mol. Sci. 2014, 15, 23090–23140. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Minton, A.P. Excluded volume as a determinant of macromolecular structure and reactivity. Biopolymers 1981, 20, 2093–2120. [Google Scholar] [CrossRef]
  13. Minton, A.P. Quantitative assessment of the relative contributions of steric repulsion and chemical interactions to macromolecular crowding. Biopolymers 2013, 99, 239–244. [Google Scholar] [CrossRef] [PubMed]
  14. Jeon, C.; Hyeon, C.; Jung, Y.; Ha, B.-Y. How are molecular crowding and the spatial organization of a biopolymer interrelated. Soft Matter 2016, 12, 9786–9796. [Google Scholar] [CrossRef] [Green Version]
  15. Hata, Y.; Sawada, T.; Serizawa, T. Macromolecular crowding for materials-directed controlled self-assembly. J. Mater. Chem. B 2018, 6, 6344–6359. [Google Scholar] [CrossRef] [PubMed]
  16. Roman, M.I.; Yang, G. Macromolecular Crowding Affects the Mechanical Unfolding Forces in Titin: The Size Effect. Biophys. J. 2011, 100, 214a. [Google Scholar] [CrossRef] [Green Version]
  17. Mikaelsson, T.; Ådén, J.; Johansson, L.B.Å.; Wittung-Stafshede, P. Direct Observation of Protein Unfolded State Compaction in the Presence of Macromolecular Crowding. Biophys. J. 2013, 4, 694–704. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Strulson, C.A.; Molden, R.C.; Keating, C.D.; Bevilacqua, P.C. RNA catalysis through compartmentalization. Nat. Chem. 2012, 4, 941–946. [Google Scholar] [CrossRef]
  19. De Pieri, A.; Rana, S.; Korntner, S.; Zeugolis, D.I. Seaweed polysaccharides as macromolecular crowding agents. Int. J. Biol. Macromol. 2020, 164, 434–446. [Google Scholar] [CrossRef]
  20. Candotti, M.; Orozco, M. The Differential Response of Proteins to Macromolecular Crowding. PLoS Comput. Biol. 2016, 12, e1005040. [Google Scholar] [CrossRef] [Green Version]
  21. Su, W.-C.; Gettel, D.L.; Chabanon, M.; Rangamani, P.; Parikh, A.N. Pulsatile Gating of Giant Vesicles Containing Macromolecular Crowding Agents Induced by Colligative Nonideality. J. Am. Chem. Soc. 2018, 140, 691–699. [Google Scholar] [CrossRef] [PubMed]
  22. Baumann, P.; Spulber, M.; Fischer, O.; Car, A.; Meier, W. Investigation of Horseradish Peroxidase Kinetics in an “Organelle-Like” Environment. Small 2017, 13, 1603943. [Google Scholar] [CrossRef] [PubMed]
  23. Shendi, D.; Marzi, J.; Linthicum, W.; Rickards, A.J.; Dolivo, D.M.; Keller, S.; Kauss, M.A.; Wen, Q.; McDevitt, T.C.; Dominko, T.; et al. Hyaluronic acid as a macromolecular crowding agent for production of cell-derived matrices. Acta Biomater. 2019, 100, 292–305. [Google Scholar] [CrossRef] [PubMed]
  24. Garnica-Galvez, S.; Korntner, S.H.; Skoufos, I.; Tzora, A.; Diakakis, N.; Prassinos, N.; Zeugolis, D.I. Hyaluronic Acid as Macromolecular Crowder in Equine Adipose-Derived Stem Cell Cultures. Cells 2021, 10, 859. [Google Scholar] [CrossRef]
  25. Diniz, A.; Dias, J.S.; Jiménez-Barbero, J.; Marcelo, F.; Cabrita, E.J. Protein–Glycan Quinary Interactions in Crowding Environment Unveiled by NMR Spectroscopy. Chem.-Eur. J. 2017, 23, 13213–13220. [Google Scholar] [CrossRef]
  26. Bai, J.; Liu, M.; Pielak, G.J.; Li, C. Macromolecular and Small Molecular Crowding Have Similar Effects on α-Synuclein Structure. ChemPhysChem 2017, 18, 55–58. [Google Scholar] [CrossRef]
  27. Barro, L.; Burnouf, P.-A.; Chou, M.-L.; Nebie, O.; Wu, Y.-W.; Chen, M.-S.; Radosevic, M.; Knutson, F.; Burnouf, T. Human platelet lysates for human cell propagation. Platelets 2021, 32, 152–162. [Google Scholar] [CrossRef]
  28. Wang, X.; Tian, L.; Ren, Y.; Zhao, Z.; Du, H.; Zhang, Z.; Drinkwater, B.W.; Mann, S.; Han, X. Chemical Information Exchange in Organized Protocells and Natural Cell Assemblies with Controllable Spatial Positions. Small 2020, 16, 1906394. [Google Scholar] [CrossRef]
  29. Wang, X.; Tian, L.; Du, H.; Li, M.; Mu, W.; Drinkwater, B.W.; Han, X.; Mann, S. Chemical communication in spatially organized protocell colonies and protocell/living cell micro-arrays. Chem. Sci. 2019, 10, 9446–9453. [Google Scholar] [CrossRef]
  30. Zong, W.; Ma, S.; Zhang, X.; Wang, X.; Li, Q.; Han, X. A Fissionable Artificial Eukaryote-like Cell Model. J. Am. Chem. Soc. 2017, 139, 9955–9960. [Google Scholar] [CrossRef]
  31. Zhao, Q.-H.; Cao, F.-H.; Luo, Z.-H.; Huck, W.T.S.; Deng, N.-N. Photoswitchable Molecular Communication between Programmable DNA-Based Artificial Membraneless Organelles. Angew. Chem. Int. Ed. 2022, 61, e202117500. [Google Scholar] [CrossRef] [PubMed]
  32. McClintic, W.T.; Taylor, G.J.; Simpson, M.L.; Collier, C.P. Macromolecular Crowding Affects Voltage-Dependent Alamethicin Pore Formation in Lipid Bilayer Membranes. J. Phys. Chem. B 2020, 124, 5095–5102. [Google Scholar] [CrossRef] [PubMed]
  33. Yanagisawa, M.; Sakaue, T.; Yoshikawa, K. Chapter Seven-Characteristic Behavior of Crowding Macromolecules Confined in Cell-Sized Droplets. Int. Rev. Cell Mol. Biol. 2014, 307, 175–204. [Google Scholar] [PubMed]
  34. Zhu, C.; Li, Q.; Dong, M.; Han, X. Giant Unilamellar Vesicle Microarrays for Cell Function Study. Anal. Chem. 2018, 90, 14363–14367. [Google Scholar] [CrossRef] [PubMed]
  35. Elani, Y. Interfacing Living and Synthetic Cells as an Emerging Frontier in Synthetic Biology. Angew. Chem. Int. Ed. 2021, 60, 5602–5611. [Google Scholar] [CrossRef] [PubMed]
  36. Miyazaki, M.; Chiba, M.; Eguchi, H.; Ohki, T.; Ishiwata, S.I. Cell-sized spherical confinement induces the spontaneous formation of contractile actomyosin rings in vitro. Nat. Cell Biol. 2015, 17, 480–489. [Google Scholar] [CrossRef] [PubMed]
  37. Groen, J.; Foschepoth, D.; te Brinke, E.; Boersma, A.J.; Imamura, H.; Rivas, G.; Heus, H.A.; Huck, W.T.S. Associative Interactions in Crowded Solutions of Biopolymers Counteract Depletion Effects. J. Am. Chem. Soc. 2015, 137, 13041–13048. [Google Scholar] [CrossRef] [PubMed]
  38. Tanaka, S.; Takiguchi, K.; Hayashi, M. Repetitive stretching of giant liposomes utilizing the nematic alignment of confined actin. Commun. Phys. 2018, 1, 18. [Google Scholar] [CrossRef] [Green Version]
  39. Garenne, D.; Noireaux, V. Analysis of Cytoplasmic and Membrane Molecular Crowding in Genetically Programmed Synthetic Cells. Biomacromolecules 2020, 21, 2808–2817. [Google Scholar] [CrossRef]
  40. Snead, W.T.; Hayden, C.C.; Gadok, A.K.; Zhao, C.; Lafer, E.M.; Rangamani, P.; Stachowiak, J.C. Membrane fission by protein crowding. Proc. Natl. Acad. Sci. USA 2017, 114, E3258–E3267. [Google Scholar] [CrossRef] [Green Version]
  41. Hernández-Vega, A.; Braun, M.; Scharrel, L.; Jahnel, M.; Wegmann, S.; Hyman, B.T.; Alberti, S.; Diez, S.; Hyman, A.A. Local Nucleation of Microtubule Bundles through Tubulin Concentration into a Condensed Tau Phase. Cell Rep. 2017, 20, 2304–2312. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. King, M.R.; Petry, S. Phase separation of TPX2 enhances and spatially coordinates microtubule nucleation. Nat. Commun. 2020, 11, 270. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Woodruff, J.B.; Ferreira Gomes, B.; Widlund, P.O.; Mahamid, J.; Honigmann, A.; Hyman, A.A. The Centrosome Is a Selective Condensate that Nucleates Microtubules by Concentrating Tubulin. Cell 2017, 169, 1066–1077. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Nakatani, N.; Sakuta, H.; Hayashi, M.; Tanaka, S.; Takiguchi, K.; Tsumoto, K.; Yoshikawa, K. Specific Spatial Localization of Actin and DNA in a Water/Water Microdroplet: Self-Emergence of a Cell-Like Structure. ChemBioChem 2018, 19, 1370–1374. [Google Scholar] [CrossRef] [PubMed]
  45. Stano, P.; D’Aguanno, E.; Bolz, J.; Fahr, A.; Luisi, P.L. A Remarkable Self-Organization Process as the Origin of Primitive Functional Cells. Angew. Chem. Int. Ed. 2013, 125, 13639–13642. [Google Scholar] [CrossRef]
  46. Hansen, M.M.K.; Meijer, L.H.H.; Spruijt, E.; Maas, R.J.M.; Rosquelles, M.V.; Groen, J.; Heus, H.A.; Huck, W.T.S. Macromolecular crowding creates heterogeneous environments of gene expression in picolitre droplets. Nat. Nanotechnol. 2016, 11, 191–197. [Google Scholar] [CrossRef]
  47. Tan, C.; Saurabh, S.; Bruchez, M.P.; Schwartz, R.; LeDuc, P. Molecular crowding shapes gene expression in synthetic cellular nanosystems. Nat. Nanotechnol. 2013, 8, 602–608. [Google Scholar] [CrossRef]
  48. Norred, S.E.; Caveney, P.M.; Chauhan, G.; Collier, L.K.; Collier, C.P.; Abel, S.M.; Simpson, M.L. Macromolecular Crowding Induces Spatial Correlations That Control Gene Expression Bursting Patterns. ACS Synth. Biol. 2018, 7, 1251–1258. [Google Scholar] [CrossRef]
  49. Stadmiller, S.S.; Pielak, G.J. Protein-complex stability in cells and in vitro under crowded conditions. Curr. Opin. Struct. Biol. 2021, 66, 183–192. [Google Scholar] [CrossRef]
  50. Schavemaker, P.E.; Boersma, A.J.; Poolman, B. How Important Is Protein Diffusion in Prokaryotes? Front. Mol. Biosci. 2018, 5, 93. [Google Scholar] [CrossRef]
  51. Popielec, A.; Ostrowska, N.; Wojciechowska, M.; Feig, M.; Trylska, J. Crowded environment affects the activity and inhibition of the NS3/4A protease. Biochimie 2020, 176, 169–180. [Google Scholar] [CrossRef] [PubMed]
  52. Fuentes-Lemus, E.; Reyes, J.S.; Gamon, L.F.; Lopez-Alarcon, C.; Davies, M.J. Effect of macromolecular crowding on protein oxidation: Consequences on the rate, extent and oxidation pathways. Redox Biol. 2021, 48, 102202. [Google Scholar] [CrossRef] [PubMed]
  53. Tabaka, M.; Kalwarczyk, T.; Szymanski, J.; Hou, S.; Holyst, R. The effect of macromolecular crowding on mobility of biomolecules, association kinetics, and gene expression in living cells. Front. Phys. 2014, 2, 54. [Google Scholar] [CrossRef] [Green Version]
  54. Miermont, A.; Waharte, F.; Hu, S.; McClean, M.N.; Bottani, S.; Léon, S.; Hersen, P. Severe osmotic compression triggers a slowdown of intracellular signaling, which can be explained by molecular crowding. Proc. Natl. Acad. Sci. USA 2013, 110, 5725–5730. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Golkaram, M.; Hellander, S.; Drawert, B.; Petzold, L.R. Macromolecular Crowding Regulates the Gene Expression Profile by Limiting Diffusion. PLoS Comput. Biol. 2016, 12, e1005122. [Google Scholar] [CrossRef] [PubMed]
  56. Junker, N.O.; Vaghefikia, F.; Albarghash, A.; Hofig, H.; Kempe, D.; Walter, J.; Otten, J.; Pohl, M.; Katranidis, A.; Wiegand, S.; et al. Impact of Molecular Crowding on Translational Mobility and Conformational Properties of Biological Macromolecules. J. Phys. Chem. B 2019, 123, 4477–4486. [Google Scholar] [CrossRef] [PubMed]
  57. Várkuti, B.H.; Yang, Z.; Kintses, B.; Erdélyi, P.; Bárdos-Nagy, I.; Kovács, A.L.; Hári, P.; Kellermayer, M.; Vellai, T.; Málnási-Csizmadia, A. A novel actin binding site of myosin required for effective muscle contraction. Nat. Struct. Mol. Biol. 2012, 19, 299–306. [Google Scholar] [CrossRef]
  58. Fletcher, D.A.; Mullins, R.D. Cell mechanics and the cytoskeleton. Nature 2010, 463, 485–492. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  59. Weirich Kimberly, L.; Dasbiswas, K.; Witten Thomas, A.; Vaikuntanathan, S.; Gardel Margaret, L. Self-organizing motors divide active liquid droplets. Proc. Natl. Acad. Sci. USA 2019, 116, 11125–11130. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  60. Weirich Kimberly, L.; Banerjee, S.; Dasbiswas, K.; Witten Thomas, A.; Vaikuntanathan, S.; Gardel Margaret, L. Liquid behavior of cross-linked actin bundles. Proc. Natl. Acad. Sci. USA 2017, 114, 2131–2136. [Google Scholar] [CrossRef] [Green Version]
  61. Mishra, A.; Korlepara, D.B.; Kumar, M.; Jain, A.; Jonnalagadda, N.; Bejagam, K.K.; Balasubramanian, S.; George, S.J. Biomimetic temporal self-assembly via fuel-driven controlled supramolecular polymerization. Nat. Commun. 2018, 9, 1295. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Wang, Z.; Grange, M.; Pospich, S.; Wagner, T.; Kho Ay, L.; Gautel, M.; Raunser, S. Structures from intact myofibrils reveal mechanism of thin filament regulation through nebulin. Science 2022, 375, eabn1934. [Google Scholar] [CrossRef] [PubMed]
  63. Baumann, H.; Surrey, T. Motor-mediated Cortical versus Astral Microtubule Organization in Lipid-monolayered Droplets. J. Biol. Chem. 2014, 289, 22524–22535. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Ganar, K.A.; Honaker, L.W.; Deshpande, S. Shaping synthetic cells through cytoskeleton-condensate-membrane interactions. Curr. Opin. Colloid Interface Sci. 2021, 54, 101459. [Google Scholar] [CrossRef]
  65. Lee, K.Y.; Park, S.-J.; Lee, K.A.; Kim, S.-H.; Kim, H.; Meroz, Y.; Mahadevan, L.; Jung, K.-H.; Ahn, T.K.; Parker, K.K.; et al. Photosynthetic artificial organelles sustain and control ATP-dependent reactions in a protocellular system. Nat. Biotechnol. 2018, 36, 530–535. [Google Scholar] [CrossRef]
  66. Tsai, F.-C.; Koenderink, G.H. Shape control of lipid bilayer membranes by confined actin bundles. Soft Matter 2015, 11, 8834–8847. [Google Scholar] [CrossRef]
  67. Park, S.; Barnes, R.; Lin, Y.; Jeon, B.-j.; Najafi, S.; Delaney, K.T.; Fredrickson, G.H.; Shea, J.-E.; Hwang, D.S.; Han, S. Dehydration entropy drives liquid-liquid phase separation by molecular crowding. Commun. Chem. 2020, 3, 83. [Google Scholar] [CrossRef]
  68. Uversky, V.N. Intrinsically disordered proteins in overcrowded milieu: Membrane-less organelles, phase separation, and intrinsic disorder. Curr. Opin. Struct. Biol. 2017, 44, 18–30. [Google Scholar] [CrossRef]
  69. Wei, S.-P.; Qian, Z.-G.; Hu, C.-F.; Pan, F.; Chen, M.-T.; Lee, S.Y.; Xia, X.-X. Formation and functionalization of membraneless compartments in Escherichia coli. Nat. Chem. Biol. 2020, 16, 1143–1148. [Google Scholar] [CrossRef]
  70. Kohata, K.; Miyoshi, D. RNA phase separation–mediated direction of molecular trafficking under conditions of molecular crowding. Biophys. Rev. 2020, 12, 669–676. [Google Scholar] [CrossRef]
  71. Lin, Y.; Fichou, Y.; Longhini, A.P.; Llanes, L.C.; Yin, P.; Bazan, G.C.; Kosik, K.S.; Han, S. Liquid-Liquid Phase Separation of Tau Driven by Hydrophobic Interaction Facilitates Fibrillization of Tau. J. Mol. Biol. 2021, 433, 166731. [Google Scholar] [CrossRef] [PubMed]
  72. Wegmann, S.; Eftekharzadeh, B.; Tepper, K.; Zoltowska, K.M.; Bennett, R.E.; Dujardin, S.; Laskowski, P.R.; MacKenzie, D.; Kamath, T.; Commins, C.; et al. Tau protein liquid–liquid phase separation can initiate tau aggregation. EMBO J. 2018, 37, e98049. [Google Scholar] [CrossRef] [PubMed]
  73. Alfaro-Aco, R.; Thawani, A.; Petry, S. Structural analysis of the role of TPX2 in branching microtubule nucleation. J. Cell Biol. 2017, 216, 983–997. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Jana, S.C. Centrosome structure and biogenesis: Variations on a theme? Cell Dev. Biol. 2021, 110, 123–138. [Google Scholar] [CrossRef] [PubMed]
  75. Matsubayashi, H.; Ueda, T. Purified cell-free systems as standard parts for synthetic biology. Curr. Opin. Chem. Biol. 2014, 22, 158–162. [Google Scholar] [CrossRef] [PubMed]
  76. Timm, A.C.; Shankles, P.G.; Foster, C.M.; Doktycz, M.J.; Retterer, S.T. Microreactors: Toward Microfluidic Reactors for Cell-Free Protein Synthesis at the Point-of-Care. Small 2016, 12, 690. [Google Scholar] [CrossRef]
  77. Shang, L.; Zhao, Y. Droplet-Templated Synthetic Cells. Matter 2021, 4, 95–115. [Google Scholar] [CrossRef]
  78. Wang, C.; Geng, Y.; Sun, Q.; Xu, J.; Lu, Y. A Sustainable and Efficient Artificial Microgel System: Toward Creating a Configurable Synthetic Cell. Small 2020, 16, 2002313. [Google Scholar] [CrossRef]
  79. Skóra, T.; Vaghefikia, F.; Fitter, J.; Kondrat, S. Macromolecular Crowding: How Shape and Interactions Affect Diffusion. J. Phys. Chem. B 2020, 124, 7537–7543. [Google Scholar] [CrossRef]
  80. Vazquez, A.; Oltvai, Z.N. Macromolecular crowding explains overflow metabolism in cells. Sci. Rep. 2016, 6, 31007. [Google Scholar] [CrossRef] [Green Version]
  81. Shim, A.R.; Nap, R.J.; Huang, K.; Almassalha, L.M.; Matusda, H.; Backman, V.; Szleifer, I. Dynamic Crowding Regulates Transcription. Biophys. J. 2020, 118, 2117–2129. [Google Scholar] [CrossRef] [PubMed]
  82. Benny, P.; Raghunath, M. Making microenvironments: A look into incorporating macromolecular crowding into in vitro experiments, to generate biomimetic microenvironments which are capable of directing cell function for tissue engineering applications. J. Tissue Eng. 2017, 8, 1–8. [Google Scholar] [CrossRef] [PubMed]
  83. Assuncao, M.; Wong, C.W.; Richardson, J.J.; Tsang, R.; Beyer, S.; Raghunath, M.; Blocki, A. Macromolecular dextran sulfate facilitates extracellular matrix deposition by electrostatic interaction independent from a macromolecular crowding effect. Mater. Sci. Eng. C 2020, 106, 110280. [Google Scholar] [CrossRef] [PubMed]
  84. Yoo, Y.-I.; Ko, K.-W.; Cha, S.-G.; Park, S.-Y.; Woo, J.; Han, D.K. Highly effective induction of cell-derived extracellular matrix by macromolecular crowding for osteogenic differentiation of mesenchymal stem cells. J. Ind. Eng. Chem. 2022, 107, 391–400. [Google Scholar] [CrossRef]
  85. Bascetin, R.; Laurent-Issartel, C.; Blanc-Fournier, C.; Vendrely, C.; Kellouche, S.; Carreiras, F.; Gallet, O.; Leroy-Dudal, J. A biomimetic model of 3D fluid extracellular macromolecular crowding microenvironment fine-tunes ovarian cancer cells dissemination phenotype. Biomaterials 2021, 269, 120610. [Google Scholar] [CrossRef] [PubMed]
  86. Lowe, M.; Kalacheva, M.; Boersma, A.J.; Kedrov, A. The more the merrier: Effects of macromolecular crowding on the structure and dynamics of biological membranes. FEBS J. 2020, 287, 5039–5067. [Google Scholar] [CrossRef] [PubMed]
  87. Yang, Y.; Jiang, N.; Lai, Y.T.; Chang, Y.Y.; Yang, X.; Sun, H.; Li, H. Green Fluorescent Probe for Imaging His6-Tagged Proteins Inside Living Cells. ACS Sens. 2019, 4, 1190–1196. [Google Scholar] [CrossRef]
  88. Horton, M.R.; Höfling, F.; Rädler, J.O.; Franosch, T. Development of anomalous diffusion among crowding proteins. Soft Matter 2010, 6, 2648–2656. [Google Scholar] [CrossRef] [Green Version]
  89. Garenne, D.; Libchaber, A.; Noireaux, V. Membrane molecular crowding enhances MreB polymerization to shape synthetic cells from spheres to rods. Proc. Natl. Acad. Sci. USA 2020, 117, 1902–1909. [Google Scholar] [CrossRef]
Figure 1. (a) Rendering of the E. coli cytoplasm model, in which different-colored shapes represent different macromolecules, including GFP, tRNA, etc. Reprinted with permission from Ref. [7]. 2010, McGuffee, Elcock. Crowding effect illustration in a cell-like structure containing large red spheres and small purple spheres before crowding (b) and after crowding (c).
Figure 1. (a) Rendering of the E. coli cytoplasm model, in which different-colored shapes represent different macromolecules, including GFP, tRNA, etc. Reprinted with permission from Ref. [7]. 2010, McGuffee, Elcock. Crowding effect illustration in a cell-like structure containing large red spheres and small purple spheres before crowding (b) and after crowding (c).
Membranes 12 00593 g001
Figure 2. (a) The crowding effect of macromolecules promoted actin-ring formation at the equatorial plane of the droplet. Reprinted with permission from Ref. [36] 2015, Springer Nature. (b) FtsZ bundle formation with no crowder, polymeric crowder PEG-8000, protein crowder BSA, and E. coli lysate. Reprinted with permission from Ref. [37] 2015, American Chemical Society. (c) Repeated deformation of spindle-shaped liposomes encapsulating high-concentration actin. Reprinted with permission from Ref. [38] 2018, Springer Nature. (d) MreB produced by cell-free expression deformed liposomes with membranes composed of PC and PE-PEG. Reprinted with permission from Ref. [39] 2020, American Chemical Society.
Figure 2. (a) The crowding effect of macromolecules promoted actin-ring formation at the equatorial plane of the droplet. Reprinted with permission from Ref. [36] 2015, Springer Nature. (b) FtsZ bundle formation with no crowder, polymeric crowder PEG-8000, protein crowder BSA, and E. coli lysate. Reprinted with permission from Ref. [37] 2015, American Chemical Society. (c) Repeated deformation of spindle-shaped liposomes encapsulating high-concentration actin. Reprinted with permission from Ref. [38] 2018, Springer Nature. (d) MreB produced by cell-free expression deformed liposomes with membranes composed of PC and PE-PEG. Reprinted with permission from Ref. [39] 2020, American Chemical Society.
Membranes 12 00593 g002
Figure 3. (a) Tubulin polymerization inside Tau droplets. Reprinted with permission from Ref. [41] 2018, Elsevier. (b) Tubulins nucleation inside TPX2 droplets to allow the formation of microtubules. Reprinted with permission from Ref. [42] 2020, Springer Nature. (c) Tubulin nucleation inside SPD-5/TPXL-1/ZYG-9 condensates. Reprinted with permission from Ref. [43] 2017, Elsevier.
Figure 3. (a) Tubulin polymerization inside Tau droplets. Reprinted with permission from Ref. [41] 2018, Elsevier. (b) Tubulins nucleation inside TPX2 droplets to allow the formation of microtubules. Reprinted with permission from Ref. [42] 2020, Springer Nature. (c) Tubulin nucleation inside SPD-5/TPXL-1/ZYG-9 condensates. Reprinted with permission from Ref. [43] 2017, Elsevier.
Membranes 12 00593 g003
Figure 4. (a) A spontaneous concentration of all components of the mixture inside vesicles by spontaneous formation of liposomes, enabling protein synthesis. Reprinted with permission from Ref. [45] 2013, John Wiley and Sons. (b) Inhomogeneous distribution of mRNA over one droplet at high ficoll concentrations. Reprinted with permission from Ref. [46] 2015, Springer Nature. (c) Enhancement of gene expression in artificial cells by crowding effect. Reprinted with permission from Ref. [47] 2013, Springer Nature.
Figure 4. (a) A spontaneous concentration of all components of the mixture inside vesicles by spontaneous formation of liposomes, enabling protein synthesis. Reprinted with permission from Ref. [45] 2013, John Wiley and Sons. (b) Inhomogeneous distribution of mRNA over one droplet at high ficoll concentrations. Reprinted with permission from Ref. [46] 2015, Springer Nature. (c) Enhancement of gene expression in artificial cells by crowding effect. Reprinted with permission from Ref. [47] 2013, Springer Nature.
Membranes 12 00593 g004
Table 1. Progress of research on crowding effect in cell-like structures.
Table 1. Progress of research on crowding effect in cell-like structures.
Crowded SystemPhysiological Function of Crowding EffectConfined SpaceReference
Methylcellulose, actinRing-shaped actin bundles assembled at the inner peripheries Water-in-oil droplets[36]
FtsZ, PEG-8000, BSA, E. coli lysatesFtsZ bundle formation in microdropletsWater-in-oil droplets[37]
ActinActin filaments aggregated into thick actin bundles within Giant unillamellar vesicles (GUVs) to deform GUVs into spindle shapesGiant unillamellar vesicles[38]
PC, PE-PEG, cell-free protein-synthesis system of MreBThe polymerization of the protein MreB at the inner membrane into a sturdy cytoskeleton capable of transforming spherical GUVs into elongated shapesGiant unillamellar vesicles[39]
Endocytosis protein (Epsin1), green fluorescent proteinEpsin1 or GFP were able to drive fission efficiently when bound to the membrane at high coverageSurface of phospholipid vesicle membrane[40]
Dextran, polyethylene glycol, ficoll, Tau protein, tubulinTubulin partitioned into Tau drops, efficiently increasing tubulin concentration and driving the nucleation of microtubulesPhase-separated protein droplets[41]
TPX2 protein, tubulinPhase separation of TPX2 and tubulin could underlie the tenfold improvement in the branching MT nucleation efficiencyPhase-separated protein droplets[42]
SPD-5 protein, ficoll, dextran, lysozymeTubulin was concentrated 4-fold over background to promote tubulin nucleationPhase-separated protein droplets[43]
Polyethylene glycol, dextran, actin, long DNAActin bundles distributed across the phase interface, deforming the interface and pushing DNA to their endsInterfacial layer of liquid–liquid phase separation[44]
Polyethylene glycol, dextran, ELP proteinELP protein droplets were distributed near the interface between the two phasesInterfacial layer of liquid–liquid phase separation[9]
Cell-free protein-synthesis systemGreen fluorescent protein was expressedPhospholipid vesicles[45]
Ficoll, cell-free protein synthesis-system of cyan and yellow fluorescent protein An order-of-magnitude decrease in the diffusion coefficients of RNA and proteinsWater-in-oil droplets[46]
Dextran, cell-free protein-synthesis system of GFPAn increase in the robustness of gene expressionGiant unillamellar vesicles[47]
Ficoll, cell-free protein-synthesis system of GFPA 10-fold increase in protein noiseGiant unillamellar vesicles[48]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Li, C.; Zhang, X.; Dong, M.; Han, X. Progress on Crowding Effect in Cell-like Structures. Membranes 2022, 12, 593. https://doi.org/10.3390/membranes12060593

AMA Style

Li C, Zhang X, Dong M, Han X. Progress on Crowding Effect in Cell-like Structures. Membranes. 2022; 12(6):593. https://doi.org/10.3390/membranes12060593

Chicago/Turabian Style

Li, Chao, Xiangxiang Zhang, Mingdong Dong, and Xiaojun Han. 2022. "Progress on Crowding Effect in Cell-like Structures" Membranes 12, no. 6: 593. https://doi.org/10.3390/membranes12060593

APA Style

Li, C., Zhang, X., Dong, M., & Han, X. (2022). Progress on Crowding Effect in Cell-like Structures. Membranes, 12(6), 593. https://doi.org/10.3390/membranes12060593

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop