Evidence map›Paper›PMID 39392663›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

The endoplasmic reticulum as an active liquid network.

Zubenelgenubi C Scott, Samuel B Steen, Greg Huber, Laura M Westrate, Elena F Koslover

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Zubenelgenubi C ScottDepartment of Physics, University of California, San Diego, La Jolla, CA 92093.ORCID 0009-0004-2043-636X
Samuel B SteenDepartment of Chemistry and Biochemistry, Calvin University, Grand Rapids, MI 49546.
Greg HuberChan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158.ORCID 0000-0001-8565-3067
Laura M WestrateDepartment of Chemistry and Biochemistry, Calvin University, Grand Rapids, MI 49546.ORCID 0000-0002-9642-4814
Elena F KosloverDepartment of Physics, University of California, San Diego, La Jolla, CA 92093.ORCID 0000-0003-4139-9209

Funding

Chan Zuckerberg Initiative (CZI) n/aJohn Templeton Foundation (JTF) n/aNational Science Foundation (NSF) 2034482National Science Foundation (NSF) 2034486Research Corporation for Science Advancement (RCSA) n/a
6 · The paper itself

Abstract

The peripheral endoplasmic reticulum (ER) forms a dense, interconnected, and constantly evolving network of membrane-bound tubules in eukaryotic cells. While individual structural elements and the morphogens that stabilize them have been described, a quantitative understanding of the dynamic large-scale network topology remains elusive. We develop a physical model of the ER as an active liquid network, governed by a balance of tension-driven shrinking and new tubule growth. This minimalist model gives rise to steady-state network structures with density and rearrangement timescales predicted from the junction mobility and tubule spawning rate. Several parameter-independent geometric features of the liquid network model are shown to be representative of ER architecture in live mammalian cells. The liquid network model connects the timescales of distinct dynamic features such as ring closure and new tubule growth in the ER. Furthermore, it demonstrates how the steady-state network morphology on a cellular scale arises from the balance of microscopic dynamic rearrangements.

Indexed as

Endoplasmic ReticulumModels, BiologicalAnimalsHumansendoplasmic reticulumnetworksorganelle structurephysical modelingsubcellular dynamics

Identifiers

PMID39392663
PMCPMC11494354

What Socratic 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 Socratic graph.