Cited by 144Origins and Evolution of LifeProtein Structure and DynamicsInnovative Microfluidic and Catalytic Techniques Innovation

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Sustained enzymatic activity and flow in crowded protein droplets

Open access

Published version of a preprint

Abstract

Living cells harvest energy from their environments to drive the chemical processes that enable life. We introduce a minimal system that operates at similar protein concentrations, metabolic densities, and length scales as living cells. This approach takes advantage of the tendency of phase-separated protein droplets to strongly partition enzymes, while presenting minimal barriers to transport of small molecules across their interface. By dispersing these microreactors in a reservoir of substrate-loaded buffer, we achieve steady states at metabolic densities that match those of the hungriest microorganisms. We further demonstrate the formation of steady pH gradients, capable of driving microscopic flows. Our approach enables the investigation of the function of diverse enzymes in environments that mimic cytoplasm, and provides a flexible platform for studying the collective behavior of matter driven far from equilibrium.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41467-021-26532-0

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 77

  1. Van Den Berg, J., Boersma, A. J. & Poolman, B. Microorganisms maintain crowding homeostasis. Nat. Rev. Microbiol. 15, 309–318 (2017). · DOI
  2. Boersma, A. J., Zuhorn, I. S. & Poolman, B. A sensor for quantification of macromolecular crowding in living cells. Nat. methods 12, 227–229 (2015). · DOI
  3. Konopka, M. C. et al. Cytoplasmic protein mobility in osmotically stressed escherichia coli. J. Bacteriol. 191, 231–237 (2009). · DOI
  4. Cayley, S. & Record Jr, M. T. Large changes in cytoplasmic biopolymer concentration with osmolality indicate that macromolecular crowding may regulate protein–dna interactions and growth rate in osmotically stressed escherichia coli k-12. J. Mol. Recognit. 17, 488–496 (2004). · DOI
  5. Li, G.-W., Burkhardt, D., Gross, C. & Weissman, J. S. Quantifying absolute protein synthesis rates reveals principles underlying allocation of cellular resources. Cell 157, 624–635 (2014). · DOI
  6. Arike, L. et al. Comparison and applications of label-free absolute proteome quantification methods on escherichia coli. J. Proteom. 75, 5437–5448 (2012). · DOI
  7. Zhou, H.-X., Rivas, G. & Minton, A. P. Macromolecular crowding and confinement: biochemical, biophysical, and potential physiological consequences. Annu. Rev. Biophys. 37, 375–397 (2008). · DOI
  8. Aumiller Jr, W. M., Davis, B. W., Hatzakis, E. & Keating, C. D. Interactions of macromolecular crowding agents and cosolutes with small-molecule substrates: effect on horseradish peroxidase activity with two different substrates. J. Phys. Chem. B 118, 10624–10632 (2014). · DOI
  9. Banani, S. F., Lee, H. O., Hyman, A. A. & Rosen, M. K. Biomolecular condensates: organizers of cellular biochemistry. Nat. Rev. Mol. Cell Biol. 18, 285–298 (2017). · DOI
  10. Boehning, M. et al. Rna polymerase ii clustering through carboxy-terminal domain phase separation. Nat. Struct. Mol. Biol. 25, 833–840 (2018). · DOI
  11. Altenburg, W. J. et al. Programmed spatial organization of biomacromolecules into discrete, coacervate-based protocells. Nat. Commun. 11, 1–10 (2020). · DOI
  12. Boeynaems, S. et al. Protein phase separation: a new phase in cell biology. Trends Cell Biol. 28, 420–435 (2018). · DOI
  13. Hyman, A. A., Weber, C. A. & Jülicher, F. Liquid-liquid phase separation in biology. Annu. Rev. Cell Dev. Biol. 30, 39–58 (2014). · DOI · Paper page
  14. Brangwynne, C. P. et al. Germline p granules are liquid droplets that localize by controlled dissolution/condensation. Science 324, 1729–1732 (2009). · DOI
  15. Feric, M. et al. Coexisting liquid phases underlie nucleolar subcompartments. Cell 165, 1686–1697 (2016). · DOI
  16. Boeynaems, S. et al. Spontaneous driving forces give rise to protein- rna condensates with coexisting phases and complex material properties. Proc. Natl Acad. Sci. USA 116, 7889–7898 (2019). · DOI
  17. McCall, P. M. et al. Partitioning and enhanced self-assembly of actin in polypeptide coacervates. Biophys. J. 114, 1636–1645 (2018). · DOI
  18. Faltova, L., Küffner, A. M., Hondele, M., Weis, K. & Arosio, P. Multifunctional protein materials and microreactors using low complexity domains as molecular adhesives. ACS Nano 12, 9991–9999 (2018). · DOI
  19. Poudyal, R. R. et al. Template-directed rna polymerization and enhanced ribozyme catalysis inside membraneless compartments formed by coacervates. Nat. Commun. 10, 1–13 (2019). · DOI
  20. Karoui, H., Seck, M. J. & Martin, N. Self-programmed enzyme phase separation and multiphase coacervate droplet organization. Chem. Sci. 12, 2794–2802 (2021). · DOI
  21. Aumiller, W. M. & Keating, C. D. Phosphorylation-mediated rna/peptide complex coacervation as a model for intracellular liquid organelles. Nat. Chem. 8, 129–137 (2016). · DOI
  22. Nakashima, K. K., Baaij, J. F. & Spruijt, E. Reversible generation of coacervate droplets in an enzymatic network. Soft Matter 14, 361–367 (2018). · DOI · Paper page
  23. Deshpande, S. et al. Spatiotemporal control of coacervate formation within liposomes. Nat. Commun. 10, 1–11 (2019). · DOI
  24. Donau, C. et al. Active coacervate droplets as a model for membraneless organelles and protocells. Nat. Commun. 11, 1–10 (2020). · DOI · Paper page
  25. Lim, Z. W., Ping, Y. & Miserez, A. Glucose-responsive peptide coacervates with high encapsulation efficiency for controlled release of insulin. Bioconjugate Chem. 29, 2176–2180 (2018). · DOI
  26. Johansson, G. Aqueous two-phase systems with a liquid protein (bovine serum albumin) phase for partitioning of enzymes. J. Chromatogr. B: Biomed. Sci. Appl. 680, 123–130 (1996). · DOI
  27. Dufresne, E. R. Active materials: Biological benchmarks and transport limitations. Preprint at arXiv: 1903.09584 (2019). · arXiv
  28. Golestanian, R. Enhanced diffusion of enzymes that catalyze exothermic reactions. Phys. Rev. Lett. 115, 108102 (2015). · DOI
  29. Milo, R. & Phillips, R. Cell Biology by the Numbers (Garland Science, 2015). · DOI
  30. Goodsell, D. S. Inside a living cell. Trends Biochem. Sci. 16, 203–206 (1991). · DOI
  31. Nishizawa, K. et al. Universal glass-forming behavior of in vitro and living cytoplasm. Sci. Rep. 7, 1–12 (2017). · DOI
  32. Guo, M. et al. Probing the stochastic, motor-driven properties of the cytoplasm using force spectrum microscopy. Cell 158, 822–832 (2014). · DOI
  33. Gay, R. J., McComb, R. B. & Bowers Jr, G. N. Optimum reaction conditions for human lactate dehydrogenase isoenzymes as they affect total lactate dehydrogenase activity. Clin. Chem. 14, 740–753 (1968). · DOI
  34. Jackson, E., López-Gallego, F., Guisan, J. & Betancor, L. Enhanced stability of l-lactate dehydrogenase through immobilization engineering. Process Biochem. 51, 1248–1255 (2016). · DOI
  35. Eggert, M. W., Byrne, M. E. & Chambers, R. P. Impact of high pyruvate concentration on kinetics of rabbit muscle lactate dehydrogenase. Appl. Biochem. Biotechnol. 165, 676–686 (2011). · DOI
  36. Stambaugh, R. & Post, D. Substrate and product inhibition of rabbit muscle lactic dehydrogenase heart (h4) and muscle (m4) isozymes. J. Biol. Chem. 241, 1462–1467 (1966). · DOI
  37. Makarieva, A. M. et al. Mean mass-specific metabolic rates are strikingly similar across life’s major domains: evidence for life’s metabolic optimum. Proc. Natl Acad. Sci. USA 105, 16994–16999 (2008). · DOI
  38. Kappaun, K., Piovesan, A. R., Carlini, C. R. & Ligabue-Braun, R. Ureases: historical aspects, catalytic, and non-catalytic properties–a review. J. Adv. Res. 13, 3–17 (2018). · DOI
  39. Riedel, C. et al. The heat released during catalytic turnover enhances the diffusion of an enzyme. Nature 517, 227–230 (2015). · DOI
  40. Stein, D. B., De Canio, G., Lauga, E., Shelley, M. J. & Goldstein, R. E. Swirling instability of the microtubule cytoskeleton. Phys. Rev. Lett. 126, 028103 (2021). · DOI
  41. Scriven, L. & Sternling, C. The marangoni effects. Nature 187, 186–188 (1960). · DOI
  42. Bonthuis, D. J. & Golestanian, R. Mechanosensitive channel activation by diffusio-osmotic force. Phys. Rev. Lett. 113, 148101 (2014). · DOI
  43. Ramm, B. et al. A diffusiophoretic mechanism for atp-driven transport without motor proteins. Nat. Phys. https://doi.org/10.1038/s41567-021-01213-3 (2021). · DOI
  44. Golestanian, R. Phoretic active matter.Preprint at arXiv http://arxiv.org/abs/1909.03747 (2019). · arXiv
  45. Ijavi, M. et al. Surface tensiometry of phase separated protein and polymer droplets by the sessile drop method. Soft Matter 17, 1655–1662 (2021). · DOI
  46. Lane, N. Proton gradients at the origin of life. BioEssays 39, 1600217 (2017). · DOI · Paper page
  47. Bonfio, C. et al. Prebiotic iron–sulfur peptide catalysts generate a ph gradient across model membranes of late protocells. Nat. Catal. 1, 616–623 (2018). · DOI
  48. Goldstein, R. E. & van de Meent, J.-W. A physical perspective on cytoplasmic streaming. Interface Focus 5, 20150030 (2015). · DOI
  49. Shimmen, T. & Yokota, E. Cytoplasmic streaming in plants. Curr. Opin. Cell Biol. 16, 68–72 (2004). · DOI
  50. Luby-Phelps, K. Cytoarchitecture and physical properties of cytoplasm: volume, viscosity, diffusion, intracellular surface area. Int. Rev. Cytol. 192, 189–221 (1999). · DOI
  51. Zhou, H.-X. Protein folding in confined and crowded environments. Arch. Biochem. Biophys. 469, 76–82 (2008). · DOI
  52. Minton, A. P. Influence of macromolecular crowding upon the stability and state of association of proteins: predictions and observations. J. Pharm. Sci. 94, 1668–1675 (2005). · DOI
  53. Zecchin, A., Stapor, P. C., Goveia, J. & Carmeliet, P. Metabolic pathway compartmentalization: an underappreciated opportunity? Curr. Opin. Biotechnol. 34, 73–81 (2015). · DOI
  54. Chen, A. H. & Silver, P. A. Designing biological compartmentalization. Trends Cell Biol. 22, 662–670 (2012). · DOI
  55. Heinig, U., Gutensohn, M., Dudareva, N. & Aharoni, A. The challenges of cellular compartmentalization in plant metabolic engineering. Curr. Opin. Biotechnol. 24, 239–246 (2013). · DOI
  56. Tu, B. P., Kudlicki, A., Rowicka, M. & McKnight, S. L. Logic of the yeast metabolic cycle: temporal compartmentalization of cellular processes. Science 310, 1152–1158 (2005). · DOI
  57. Schmid-Dannert, C. & López-Gallego, F. Advances and opportunities for the design of self-sufficient and spatially organized cell-free biocatalytic systems. Curr. Opin. Chem. Biol. 49, 97–104 (2019). · DOI
  58. Sengupta, S. et al. Enzyme molecules as nanomotors. J. Am. Chem. Soc. 135, 1406–1414 (2013). · DOI
  59. Jee, A.-Y., Dutta, S., Cho, Y.-K., Tlusty, T. & Granick, S. Enzyme leaps fuel antichemotaxis. Proc. Natl Acad. Sci. USA 115, 14–18 (2018). · DOI
  60. Agudo-Canalejo, J., Illien, P. & Golestanian, R. Phoresis and enhanced diffusion compete in enzyme chemotaxis. Nano Lett. 18, 2711–2717 (2018). · DOI
  61. Golestanian, R. Division for multiplication. Nat. Phys. 13, 323–324 (2016). · DOI
  62. Zwicker, D., Seyboldt, R., Weber, C. A., Hyman, A. A. & Jülicher, F. Growth and division of active droplets provides a model for protocells. Nat. Phys. 13, 408–413 (2017). · DOI
  63. Szostak, J. W., Bartel, D. P. & Luisi, P. L. Synthesizing life. Nature 409, 387–390 (2001). · DOI · Paper page
  64. Dzieciol, A. J. & Mann, S. Designs for life: protocell models in the laboratory. Chem. Soc. Rev. 41, 79–85 (2012). · DOI
  65. Tang, T. D. et al. Fatty acid membrane assembly on coacervate microdroplets as a step towards a hybrid protocell model. Nat. Chem. 6, 527 (2014). · DOI · Paper page
  66. Poudyal, R. R., Pir Cakmak, F., Keating, C. D. & Bevilacqua, P. C. Physical principles and extant biology reveal roles for rna-containing membraneless compartments in origins of life chemistry. Biochemistry 57, 2509–2519 (2018). · DOI
  67. Qiao, Y., Li, M., Booth, R. & Mann, S. Predatory behaviour in synthetic protocell communities. Nat. Chem. 9, 110–119 (2017). · DOI
  68. Kumar, B. P., Patil, A. J. & Mann, S. Enzyme-powered motility in buoyant organoclay/dna protocells. Nat. Chem. 10, 1154–1163 (2018). · DOI
  69. Joesaar, A. et al. Dna-based communication in populations of synthetic protocells. Nat. Nanotechnol. 14, 369–378 (2019). · DOI
  70. Gobbo, P. et al. Programmed assembly of synthetic protocells into thermoresponsive prototissues. Nat. Mater. 17, 1145–1153 (2018). · DOI
  71. Booth, R., Qiao, Y., Li, M. & Mann, S. Spatial positioning and chemical coupling in coacervate-in-proteinosome protocells. Angew. Chem. 131, 9218–9222 (2019). · DOI
  72. Lu, T. & Spruijt, E. Multiphase complex coacervate droplets. J. Am. Chem. Soc. 142, 2905–2914 (2020). · DOI
  73. Sokolova, E. et al. Enhanced transcription rates in membrane-free protocells formed by coacervation of cell lysate. Proc. Natl Acad. Sci. USA 110, 11692–11697 (2013). · DOI
  74. Spaeth, F. et al. Molecular design of chemically fueled peptide–polyelectrolyte coacervate-based assemblies. J. Am. Chem. Soc. 143, 4782–4789 (2021). · DOI
  75. Alvares, R. D., Hasabnis, A., Prosser, R. S. & Macdonald, P. M. Quantitative detection of pegylated biomacromolecules in biological fluids by nmr. Anal. Chem. 88, 3730–3738 (2016). · DOI
  76. Copeland, R. A. Enzymes: A Practical Introduction to Structure, Mechanism, and Data Analysis (John Wiley & Sons, 2000). · DOI
  77. Johnson, K. A. & Goody, R. S. The original michaelis constant: translation of the 1913 michaelis–menten paper. Biochemistry 50, 8264–8269 (2011). · DOI

Metadata

Authors
Testa, A., Dindo, M., Rebane, A. A., Nasouri, B., Style, R. W., Golestanian, R., Dufresne, E. R., & Laurino, P.
Affiliations
  • ETH Zurich (CH)
  • Okinawa Institute of Science and Technology Graduate University (JP)
  • Max Planck Institute for Dynamics and Self-Organization (DE)
  • University of Oxford (GB)
Corresponding author
  • Dufresne, Eric R.
  • Laurino, Paola
Venue
Nature Communications
Published
2021-11-01
Volume
12
Issue
1
Pages
6293-6293
ISSN
2041-1723 (ISSN-L)
OpenAlex
W3210793832
Cited by
144
References
10
Citations by year
2026: 27 · 2025: 39 · 2024: 42 · 2023: 25 · 2022: 11
FWCI
10.48
Type
journal article
Language
en
Open access
Locations
  • Nature Communications (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Institutional Repositories DataBase (IRDB) (submittedVersion, cc-by-nc-nd)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Okinawa Institute of Science and Technology Graduate University (Okinawa Institute of Science and Technology Graduate University) (submittedVersion, cc-by-nc-nd)
  • Repository for Publications and Research Data (ETH Zurich) (submittedVersion, cc-by)
  • ETH Zürich Research Collection (cc-by)
Funders
Okinawa Institute of Science and Technology Graduate University
Topics
  • Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Origins and Evolution of Life
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Physical Sciences › Chemical Engineering › Fluid Flow and Transfer Processes › Innovative Microfluidic and Catalytic Techniques Innovation
Keywords
protein droplets, phase separation, enzyme activity, enzyme partitioning, substrate transport, pH gradient, microfluidic flow, far-from-equilibrium systems
MeSH terms
Catalysis, Humans, Hydro-Lyases, Models, Biological, Urease, Nanoparticles, Artificial Cells

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review