Evidence map›Paper›PMID 39416285›Full record

ReviewBiophysics reviews2024

Regulation of epithelial cell jamming transition by cytoskeleton and cell-cell interactions.

Zoe D Latham, Alexandra Bermudez, Jimmy K Hu, Neil Y C Lin

Abstract readReview
In one paragraph

Review in Biophysics reviews, 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. 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

4 authors.

Zoe D LathamBioengineering Department, UCLA, Los Angeles, California 90095, USA.ORCID https://orcid.org/0009-0007-4850-184X
Alexandra BermudezBioengineering Department, UCLA, Los Angeles, California 90095, USA.

Funding

AI-Informed Signaling Factor Design for In Vitro Rejuvenating Mesenchymal Stromal CellsR35GM146735 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Neil Lin · 2022 to 2026
$2.3M
Mechanical regulation of transcription in dental epithelial stem cells through cell packing and tissue forcesR01DE030471 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Jimmy Kuang-Hsien Hu · 2022 to 2026
$1.8M
NIDCR NIH HHS R01 DE030471NIGMS NIH HHS R35 GM146735
6 · The paper itself

Abstract

Multicellular systems, such as epithelial cell collectives, undergo transitions similar to those in inert physical systems like sand piles and foams. To remodel or maintain tissue organization during development or disease, these collectives transition between fluid-like and solid-like states, undergoing jamming or unjamming transitions. While these transitions share principles with physical systems, understanding their regulation and implications in cell biology is challenging. Although cell jamming and unjamming follow physics principles described by the jamming diagram, they are fundamentally biological processes. In this review, we explore how cellular processes and interactions regulate jamming and unjamming transitions. We begin with an overview of how these transitions control tissue remodeling in epithelial model systems and describe recent findings of the physical principles governing tissue solidification and fluidization. We then explore the mechanistic pathways that modulate the jamming phase diagram axes, focusing on the regulation of cell fluctuations and geometric compatibility. Drawing upon seminal works in cell biology, we discuss the roles of cytoskeleton and cell-cell adhesion in controlling cell motility and geometry. This comprehensive view illustrates the molecular control of cell jamming and unjamming, crucial for tissue remodeling in various biological contexts.

Identifiers

PMID39416285
PMCPMC11479637

What OpenQuestion holds

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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.