Evidence map›Paper›PMID 32767698›Full record

ArticleAngewandte Chemie (International ed. in English)2020

Determinants for Fusion Speed of Biomolecular Droplets.

Archishman Ghosh, Huan-Xiang Zhou

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Distinguishing near- versus off-critical phase behaviors of intrinsically disordered proteins.Reports on progress in physics. Physical Society (Great Britain) · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Measuring bridging forces in protein-DNA condensates.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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

2 authors.

Archishman GhoshDepartment of Chemistry, University of Illinois at Chicago, Chicago, IL, 60607, USA.
Huan-Xiang ZhouDepartment of Chemistry, University of Illinois at Chicago, Chicago, IL, 60607, USA.ORCID 0000-0001-9020-0302

Funding

Quantitative, Mechanistic Studies of Biomolecular RecognitionR35GM118091 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Huan-Xiang Zhou · 2016 to 2026
$6.5M
NIGMS NIH HHS R35 GM118091
6 · The paper itself

Abstract

Biomolecular droplets formed through phase separation have a tendency to fuse. The speed with which fusion occurs is a direct indicator of condensate liquidity, which is key to both cellular functions and diseases. Using a dual-trap optical tweezers setup, we found the fusion speeds of four types of droplets to differ by two orders of magnitude. The order of fusion speed correlates with the fluorescence of thioflavin T, which in turn reflects the macromolecular packing density inside droplets. Unstructured protein or polymer chains pack loosely and readily rearrange, leading to fast fusion. In contrast, structured protein domains pack more closely and have to break extensive contacts before rearrangement, corresponding to slower fusion. This molecular interpretation for disparate fusion speeds provides mechanistic insight into the assembly and aging of biomolecular droplets.

Indexed as

Optical TweezersBenzothiazolesFluorescenceParticle SizeBenzothiazolesthioflavin Tbiomolecular condensatesdroplet fusionelectrostatic interactionsoptical tweezersphase transitions

Identifiers

PMID32767698
PMCPMC7877791

What OpenQuestion holds

Textmetadata
LicenceTDM
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.