Evidence map›Paper›PMID 40640131›Full record

ArticleNature communications2025

Enhancement of enzymatic activity by biomolecular condensates through pH buffering.

F Stoffel, M Papp, M Gil-Garcia, A M Küffner, A I Benítez-Mateos, R P B Jacquat, N Galvanetto, L Faltova, P Arosio

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Current Challenges of Transcription Compartmentalization Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  7. Article
  8. Fusion protein condensate formation via coiled-coil domains.Protein science : a publication of the Protein Society · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Chemical reviews · 2026
    Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Phase separation and the tumor microenvironment.Cell communication and signaling : CCS · 2026
    Review
  18. Article
  19. Biomolecular Condensates Dictate the Folding Landscape of Proteins.bioRxiv : the preprint server for biology · 2026
    Article
  20. Complete genome sequencing ofFrontiers in microbiology · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

F StoffelInstitute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland.
M PappInstitute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland.
M Gil-GarciaInstitute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-7457-7860
A M KüffnerInstitute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland.
A I Benítez-MateosInstitute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-6948-7652
R P B JacquatInstitute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-8661-9722
N GalvanettoDepartment of Biochemistry, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-0408-1747
L FaltovaInstitute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland.
P ArosioInstitute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland. paolo.arosio@chem.ethz.ch.ORCID http://orcid.org/0000-0002-2740-1205

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 101002094
6 · The paper itself

Abstract

Biomolecular condensates can affect enzymatic reactions by locally changing not only concentrations of molecules but also their environment. Since protein conformations can differ between the dense and dilute phase, phase separation can particularly modulate enzymes characterized by a conformation-dependent activity. Here, we generate enzymatic condensates containing a lipase from Bacillus thermocatenulatus, which exhibits an equilibrium between a closed, inactive state, and an open, active conformation. We show that the activity of the enzyme increases inside the dense phase, leading to an enhancement of the overall reaction rate in the phase-separated system. Moreover, we demonstrate that these condensates can generate a more basic environment compared to the surrounding solution, maintaining a high enzymatic activity even in a solution pH interval that would be otherwise less favorable for the lipase. We further show that the formation of two phases with distinct pH values optimizes a cascade reaction involving two enzymes with different optimal pH conditions. Our results demonstrate that, through local pH buffering, biomolecular condensates can expand the optimal pH interval for enzymatic reactions and increase their robustness towards changes in environmental parameters. These findings have implications in biology and biotechnology for biocatalytic engineering, for instance for enabling network reactions with enzymes that require distinct pH values.

Indexed as

BacillusBacterial ProteinsBiomolecular CondensatesLipaseBiocatalysisBuffersHydrogen-Ion ConcentrationKineticsProtein ConformationBacterial ProteinsBuffersLipase

Identifiers

PMID40640131
PMCPMC12246476

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.