Evidence map›Paper›PMID 39892098›Full record

ReviewCurrent opinion in cell biology2025

Lessons on the force-form-function connection in cell biology from modeling a syncytial germline.

John B Linehan, Michael E Werner, Amy Shaub Maddox

Abstract readReview
In one paragraph

Review in Current opinion in cell biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

John B LinehanDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Department of Physics, North Carolina State University, Raleigh, NC 27695, USA.
Michael E WernerDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Amy Shaub MaddoxDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. Electronic address: asm@unc.edu.

Funding

Mechanisms of cell shape change in cytokinesisR35GM144238 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Amy Shaub Maddox · 2022 to 2026
$2.4M
GAGA FACTOR AND HEAT SHOCK PROMOTER POTENTIATIONF32GM019999 · NIGMS · CORNELL UNIVERSITY ITHACA · PI ANDRULIS, ERIK D · 1999 to 2001
$73k
NIGMS NIH HHS F32 GM019999NIGMS NIH HHS R35 GM144238
6 · The paper itself

Abstract

Germline architecture plays a critical role in the production of functional gametes. Across species, oogenesis involves not only the preparation of the genome for sexual reproduction, but also the dramatic enlargement of a cell compartment to reach a volume sufficient to support embryogenesis. Creating exceptionally large cells is accomplished by a syncytial structure, in which many nucleus-containing compartments are interconnected by cytoplasmic bridges. Maintenance and function of the intricate multi-compartment architecture of syncytia requires cortical contractility, cytoplasmic flows, and germline extrinsic forces that deform and displace the germline and its constituent compartments. The dynamic interplay between local and global force production in shaping syncytial architecture makes the germline an excellent model to study the force-form-function connection in cell biology. Here, we highlight work that has combined physical modeling with cell biological measurements to define the force-form-function connection, using the Caenorhabditis elegans oogenic germline as an archetype.

Indexed as

Germ CellsGiant CellsModels, BiologicalAnimalsCaenorhabditis elegansOogenesis

Identifiers

PMID39892098
PMCPMC12713367

What OpenQuestion holds

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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.