Evidence map›Paper›PMID 42882439›Full record

ReviewCells2026

From Primary Cells to Organoids: Expanding the Biological Relevance of In Vitro Cellular Models.

Fengyan Deng, Yan Wang, Luciana A Castellano, Chongbei Zhao

Abstract readReview
In one paragraph

Review in Cells, 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
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

4 authors.

Fengyan DengStowers Institute for Medical Research, Kansas City, MO 64110, USA.
Yan WangStowers Institute for Medical Research, Kansas City, MO 64110, USA.
Luciana A CastellanoStowers Institute for Medical Research, Kansas City, MO 64110, USA.ORCID 0000-0002-3250-6116
Chongbei ZhaoStowers Institute for Medical Research, Kansas City, MO 64110, USA.ORCID 0000-0002-7224-5600

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced in vitro cellular models have become indispensable tools for investigating development, disease mechanisms, drug discovery, regenerative medicine, and precision therapeutics. Recent advances in primary cell isolation, cell immortalization, induced pluripotent stem cell (iPSC) technology, and three-dimensional (3D) organoid culture have substantially improved the physiological relevance and versatility of these experimental systems. However, selecting, developing, and validating appropriate in vitro models remain challenging due to differences in biological complexity, reproducibility, and functionality. In this review, we summarize the major strategies for establishing advanced in vitro cellular models, highlighting the principles underlying primary cell derivation, cell immortalization, iPSC reprogramming, and organoid generation. We further discuss critical factors that influence model development, including cell source selection, signaling pathways, microenvironmental regulation, and tissue self-organization, together with current approaches for characterization and functional validation. Finally, we examine emerging bioengineering technologies, key limitations, and future directions for developing increasingly robust, reproducible, and physiologically relevant in vitro models. This review provides a practical framework for researchers seeking to develop and apply advanced cellular model systems for basic research and translational biomedical applications.

Indexed as

Models, BiologicalOrganoidsAnimalsHumansInduced Pluripotent Stem Cellscell characterizationcell immortalizationinduced pluripotent stem cellsin vitro modelsiPSC reprogrammingorganoidsorgan-on-chipsprimary cells

Identifiers

PMID42882439
PMCPMC13664329

What OpenQuestion holds

Textmetadata
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.