Evidence map›Paper›PMID 41811680›Full record

ArticleTissue engineering and regenerative medicine2026

Development of Lung Mimics Using Homogeneous Pluripotent Stem Cells in Deep-Well Plate with Antioxidant-Enriched Media for Drug Screening and Infectious Disease Research.

In-Su Park, Ji-Young Oh

Abstract read
In one paragraph

Article in Tissue engineering and regenerative medicine, 2026. 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
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0citing papers in PubMed
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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

2 authors.

In-Su ParkPublic Health Research Institute Translational Research Center, National Medical Center, Seoul, Korea. 322005@nmc.or.kr.ORCID http://orcid.org/0000-0001-6919-5035
Ji-Young OhPublic Health Research Institute Translational Research Center, National Medical Center, Seoul, Korea.

Funding

National medical center NMC I-2024-002
6 · The paper itself

Abstract

backgroundOrganoids are three-dimensional (3D) in vitro cell culture systems that grow and self-organize, with cells differentiating into functional types and forming miniature structures that replicate the architecture and function of in vivo organs. While the need for standardized organoid culture systems has been widely emphasized, the production of functionally complex and scalable lung organoids remains a significant challenge.

methodsHere, we present a scalable lung organoid production platform using a 96-deep-well format with organoids derived from induced pluripotent stem cells (iPSCs). iPSCs were first differentiated into definitive endoderm (DE), followed by anterior foregut endoderm (AFE) in a two-dimensional (2D) culture system. The AFE cells were then transferred into deep wells to generate alveolar epithelial cells (AECs), and subsequently differentiated into SFTPA-positive lung cells within 3D organoids over a 15-day period.

resultsThis new culture platform enables single cells to self-organize into organoids in a serum-free, antioxidant-enriched medium using a 96-deep-well plate. Compared to conventional organoid culture methods, this system significantly improves the consistency, uniformity, and reproducibility of organoid formation.

conclusionNotably, organoids generated in deep wells are functionally comparable to those cultured in Matrigel, but offer enhanced uniformity-an essential improvement for reliable drug screening applications.

Indexed as

AntioxidantsCulture MediaInduced Pluripotent Stem CellsLungOrganoidsPluripotent Stem CellsAnimalsCell Culture TechniquesCell DifferentiationDrug Evaluation, PreclinicalHumansAntioxidantsCulture MediaAntioxidant-enriched mediumDeep-well plateDrug screeningInduced pluripotent stem cellsLung mimicsOrganoids

Identifiers

PMID41811680
PMCPMC13212852

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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.