Evidence map›Paper›PMID 37897928›Full record

ReviewCurrent opinion in cell biology2023

Macromolecular crowding: Sensing without a sensor.

Liam J Holt, Morgan Delarue

Abstract readReview
In one paragraph

Review in Current opinion in cell biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Cytoplasmic crowding acts as a porous medium reducing macromolecule diffusion.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Review
  7. Review
  8. Article
  9. Optimal disk packing of chloroplasts in plant cells.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Review
  11. Article
  12. Macromolecular Crowding in Cell Stress and Death.Sub-cellular biochemistry · 2025
    Review
  13. Review
  14. Article
  15. Article
  16. 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

2 authors.

Liam J HoltNew York University Grossman School of Medicine, Institute for Systems Genetics, New York, NY, USA.
Morgan DelarueLAAS-CNRS, Université de Toulouse, CNRS, Toulouse, France. Electronic address: mdelarue@laas.fr.

Funding

The Physical Biology of Neurodegeneration in Sporadic Amyotrophic Lateral Sclerosis/Frontotemporal DementiaR01NS127186 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HOLT, LIAM J, PHATNANI, HEMALI · 2021 to 2025
$8.2M
Cancer under pressure: Mechanisms of adaptation to compressive stressR37CA240765 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HOLT, LIAM J · 2019 to 2025
$3.2M
Tools to probe the biophysical properties of cellsR01GM132447 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HOLT, LIAM J · 2019 to 2022
$2.1M
NCI NIH HHS R37 CA240765NIGMS NIH HHS R01 GM132447NINDS NIH HHS R01 NS127186
6 · The paper itself

Abstract

All living cells are crowded with macromolecules. Crowding can directly modulate biochemical reactions to various degrees depending on the sizes, shapes, and binding affinities of the reactants. Here, we explore the possibility that cells can sense and adapt to changes in crowding through the widespread modulation of biochemical reactions without the need for a dedicated sensor. Additionally, we explore phase separation as a general physicochemical response to changes in crowding, and a mechanism to both transduce information and physically restore crowding homeostasis.

Indexed as

Cell Physiological PhenomenaMacromolecular SubstancesMacromolecular Substances

Identifiers

PMID37897928
PMCPMC13662884

What OpenQuestion holds

Textmetadata
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.