Evidence map›Paper›PMID 39605583›Full record

ArticlebioRxiv : the preprint server for biology2025

Anisotropic Cell Shape and Motion Coordinate Hindbrain Neuropore Morphogenesis.

Fernanda Pérez-Verdugo, Eirini Maniou, Gabriel L Galea, Shiladitya Banerjee

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for 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

5 · Who and what money

Authors and funding

4 authors.

Fernanda Pérez-VerdugoInstitute of Science and Technology Austria, 3400 Klosterneuburg, Austria.
Eirini ManiouDevelopmental Biology and Cancer Department, UCL GOS Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
Gabriel L GaleaDevelopmental Biology and Cancer Department, UCL GOS Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.ORCID 0000-0003-2515-1342
Shiladitya BanerjeeDepartment of Physics, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0001-8000-2556

Funding

Biophysical models and mechanisms for cellular adaptation to environmental stressR35GM143042 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI BANERJEE, SHILADITYA · 2021 to 2025
$1.6M
NIGMS NIH HHS R35 GM143042Wellcome Trust
6 · The paper itself

Abstract

Neural tube closure is a critical morphogenetic process in vertebrate development, and failure to close cranial regions such as the hindbrain neuropore (HNP) leads to severe congenital malformations. While mechanical forces like actomyosin purse-string contraction and directional cell crawling have been implicated in driving HNP closure, how these forces organize local cell shape and motion to produce large-scale tissue remodeling remains poorly understood. Using live and fixed imaging of mouse embryos combined with cell-based biophysical modeling, we show that these force-generating mechanisms are insufficient to explain the robust patterns of cell elongation and nematic alignment observed at the HNP border. Instead, we show that local anisotropic stress and cytoskeletal organization are required to generate these patterns and promote midline cell motion. Our model captures key features of cell shape dynamics and emergent nematic order, which we confirm experimentally, including the alignment of actin fibers with cell shape and enhanced midline cell speed. Comparative analysis with chick embryos, which lack supracellular purse-strings, supports a conserved link between tension generation and cellular patterning. These findings establish a physical framework connecting force generation, cell shape anisotropy, and tissue morphodynamics during epithelial gap closure.

Identifiers

PMID39605583
PMCPMC11601649

What OpenQuestion holds

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LicenceCC BY-ND
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Registered trials

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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.