Evidence map›Paper›PMID 39433596›Full record

ReviewNature reviews. Genetics2025

Functional specificity in biomolecular condensates revealed by genetic complementation.

Benjamin R Sabari, Anthony A Hyman, Denes Hnisz

Abstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
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  6. Review
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  17. Article
  18. Molecular contacts in self-assembling clusters of membrane proteins.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Article
  20. How to spy on condensates.Nature methods · 2025
    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.

Benjamin R SabariLaboratory of Nuclear Organization, Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA. benjamin.sabari@utsouthwestern.edu.ORCID http://orcid.org/0000-0002-6411-3907
Anthony A HymanMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany. hyman@mpi-cbg.de.
Denes HniszMax Planck Institute for Molecular Genetics, Berlin, Germany. hnisz@molgen.mpg.de.ORCID http://orcid.org/0000-0002-6256-1693

Funding

Organization of transcriptional machinery by weak multivalent interactionsR01GM147583 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI Benjamin Sabari · 2022 to 2026
$2.0M
NIGMS NIH HHS R01 GM147583
6 · The paper itself

Abstract

Biomolecular condensates are thought to create subcellular microenvironments that regulate specific biochemical activities. Extensive in vitro work has helped link condensate formation to a wide range of cellular processes, including gene expression, nuclear transport, signalling and stress responses. However, testing the relationship between condensate formation and function in cells is more challenging. In particular, the extent to which the cellular functions of condensates depend on the nature of the molecular interactions through which the condensates form is a major outstanding question. Here, we review results from recent genetic complementation experiments in cells, and highlight how genetic complementation provides important insights into cellular functions and functional specificity of biomolecular condensates. Combined with observations from human genetic disease, these experiments suggest that diverse condensate-promoting regions within cellular proteins confer different condensate compositions, biophysical properties and functions.

Indexed as

Biomolecular CondensatesGenetic Complementation TestAnimalsHumans

Identifiers

PMID39433596
PMCPMC12186871

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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.