Evidence map›Paper›PMID 37261897›Full record

ArticleeLife2023

Biological condensates form percolated networks with molecular motion properties distinctly different from dilute solutions.

Zeyu Shen, Bowen Jia, Yang Xu, Jonas Wessén, Tanmoy Pal, Hue Sun Chan, Shengwang Du, Mingjie Zhang

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Single-Molecule Dwell Times in Biomolecular Condensates.bioRxiv : the preprint server for biology · 2026
    Article
  3. Distinguishing near- versus off-critical phase behaviors of intrinsically disordered proteins.Reports on progress in physics. Physical Society (Great Britain) · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Microprotein Regulates G-quadruplex Driven RNA Aggregation.bioRxiv : the preprint server for biology · 2026
    Article
  9. Allostery in Biomolecular Condensates.Journal of molecular biology · 2026
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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  20. 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

8 authors.

Zeyu ShenDivision of Life Science, Hong Kong University of Science and Technology, ClearWater Bay, Kowloon, Hong Kong, China.ORCID 0000-0002-1057-7191
Bowen JiaDivision of Life Science, Hong Kong University of Science and Technology, ClearWater Bay, Kowloon, Hong Kong, China.
Yang XuDivision of Life Science, Hong Kong University of Science and Technology, ClearWater Bay, Kowloon, Hong Kong, China.
Jonas WessénDepartment of Biochemistry, University of Toronto, Toronto, Canada.ORCID 0000-0002-5904-8442
Tanmoy PalDepartment of Biochemistry, University of Toronto, Toronto, Canada.
Hue Sun ChanDepartment of Biochemistry, University of Toronto, Toronto, Canada.ORCID 0000-0002-1381-923X
Shengwang DuDepartment of Physics, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China.
Mingjie ZhangGreater Bay Biomedical Innocenter, Shenzhen Bay Laboratory, Shenzhen, China.ORCID 0000-0001-9404-0190

Funding

CIHR PJT-155930
6 · The paper itself

Abstract

Formation of membraneless organelles or biological condensates via phase separation and related processes hugely expands the cellular organelle repertoire. Biological condensates are dense and viscoelastic soft matters instead of canonical dilute solutions. To date, numerous different biological condensates have been discovered, but mechanistic understanding of biological condensates remains scarce. In this study, we developed an adaptive single-molecule imaging method that allows simultaneous tracking of individual molecules and their motion trajectories in both condensed and dilute phases of various biological condensates. The method enables quantitative measurements of concentrations, phase boundary, motion behavior, and speed of molecules in both condensed and dilute phases, as well as the scale and speed of molecular exchanges between the two phases. Notably, molecules in the condensed phase do not undergo uniform Brownian motion, but instead constantly switch between a (class of) confined state(s) and a random diffusion-like motion state. Transient confinement is consistent with strong interactions associated with large molecular networks (i.e., percolation) in the condensed phase. In this way, molecules in biological condensates behave distinctly different from those in dilute solutions. The methods and findings described herein should be generally applicable for deciphering the molecular mechanisms underlying the assembly, dynamics, and consequently functional implications of biological condensates.

Indexed as

Biochemical PhenomenaOrganellesMotionbiological condensatemolecular biophysicsmolecular network formationmultivalent interactionnonepercolationphase separationstructural biology

Identifiers

PMID37261897
PMCPMC10264073

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Registered trials

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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.