Evidence map›Paper›PMID 39160171›Full record

ArticleNature communications2024

Tissue-scale in vitro epithelial wrinkling and wrinkle-to-fold transition.

Jaeseung Youn, Dohui Kim, Hyunsu Kwak, Anna Lee, Dong Sung Kim

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. 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

5 authors.

Jaeseung YounDepartment of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.
Dohui KimDepartment of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.
Hyunsu KwakDepartment of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.
Anna LeeDepartment of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.ORCID 0000-0003-3437-840X
Dong Sung KimDepartment of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea. smkds@postech.ac.kr.ORCID 0000-0003-4780-9635

Funding

National Research Foundation of Korea (NRF) NRF-2020M3H4A1A02084827National Research Foundation of Korea (NRF) RS-2023-00208702
6 · The paper itself

Abstract

Although epithelial folding is commonly studied using in vivo animal models, such models exhibit critical limitations in terms of real-time observation and independent control of experimental parameters. Here, we develop a tissue-scale in vitro epithelial bilayer folding model that incorporates an epithelium and extracellular matrix (ECM) hydrogel, thereby emulating various folding structures found in in vivo epithelial tissue. Beyond mere folding, our in vitro model realizes a hierarchical transition in the epithelial bilayer, shifting from periodic wrinkles to a single deep fold under compression. Experimental and theoretical investigations of the in vitro model imply that both the strain-stiffening of epithelium and the poroelasticity of ECM influence the folded structures of epithelial tissue. The proposed in vitro model will aid in investigating the underlying mechanism of tissue-scale in vivo epithelial folding relevant to developmental biology and tissue engineering.

Indexed as

Epithelial CellsExtracellular MatrixHydrogelsAnimalsDogsElasticityEpitheliumHumansMadin Darby Canine Kidney CellsModels, BiologicalTissue EngineeringHydrogels

Identifiers

PMID39160171
PMCPMC11333725

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.