Evidence map›Paper›PMID 37252985›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Proximity to criticality predicts surface properties of biomolecular condensates.

Andrew G T Pyo, Yaojun Zhang, Ned S Wingreen

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.7field-weighted citation impact, top 3% of its field
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

21 citing papers in PubMed, 37 citations in OpenAlex.

  1. The exchange dynamics of client molecules in biomolecular condensates.bioRxiv : the preprint server for biology · 2026
    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. Nucleation Kinetics Reveals a Distinct Biological Function Space of Biomolecular Condensates.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Dilute but Dense - Reversible Crosslinking Enables Water-Rich (Bio)polymer Condensates.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Sequence complexity and monomer rigidity control the morphologies and aging dynamics of protein aggregates.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Article
  16. Review
  17. Amino Acid-Dependent Material Properties of Tetrapeptide Condensates.bioRxiv : the preprint server for biology · 2024
    Article
  18. Article
  19. Article
  20. Heterogeneous elasticity drives ripening and controls bursting kinetics of transcriptional condensates.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

3 authors at 2 institutions in 1 country.

Andrew G T PyoDepartment of Physics, Princeton University, Princeton, NJ 08544.
Yaojun ZhangDepartment of Physics, Princeton University, Princeton, NJ 08544.ORCID 0000-0003-4587-6834
Ned S WingreenLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544.ORCID 0000-0001-7384-2821
Princeton University · USJohns Hopkins University · US

Funding

Learning principles from the pyrenoid, a phase-separated organelleR01GM140032 · NIGMS · PRINCETON UNIVERSITY · PI JONIKAS, MARTIN CASIMIR, WINGREEN, NED S · 2021 to 2024
$2.0M
HHS | NIH | National Institute of General Medical Sciences (NIGMS) R01GM140032NIGMS NIH HHS R01 GM140032
6 · The paper itself

Abstract

It has recently become appreciated that cells self-organize their interiors through the formation of biomolecular condensates. These condensates, typically formed through liquid-liquid phase separation of proteins, nucleic acids, and other biopolymers, exhibit reversible assembly/disassembly in response to changing conditions. Condensates play many functional roles, aiding in biochemical reactions, signal transduction, and sequestration of certain components. Ultimately, these functions depend on the physical properties of condensates, which are encoded in the microscopic features of the constituent biomolecules. In general, the mapping from microscopic features to macroscopic properties is complex, but it is known that near a critical point, macroscopic properties follow power laws with only a small number of parameters, making it easier to identify underlying principles. How far does this critical region extend for biomolecular condensates and what principles govern condensate properties in the critical regime? Using coarse-grained molecular-dynamics simulations of a representative class of biomolecular condensates, we found that the critical regime can be wide enough to cover the full physiological range of temperatures. Within this critical regime, we identified that polymer sequence influences surface tension predominately via shifting the critical temperature. Finally, we show that condensate surface tension over a wide range of temperatures can be calculated from the critical temperature and a single measurement of the interface width.

Indexed as

Biomolecular CondensatesNucleic AcidsOrganellesProteinsSurface PropertiesNucleic AcidsProteinsbiomolecular condensatescritical phenomenamolecular-dynamicsphase separationsurface tension

Identifiers

PMID37252985
PMCPMC10266063
OpenAlexW4378782113

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.