Evidence map›Paper›PMID 39706178›Full record

ReviewStem cell reports2025

Engineering the 3D structure of organoids.

Samuel P Moss, Ezgi Bakirci, Adam W Feinberg

Abstract readReview
In one paragraph

Review in Stem cell reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  4. Article
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  6. Article
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  8. Article
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  11. Development of ovine hepatic organoids: a powerfulFrontiers in veterinary science · 2026
    Article
  12. Multiscale imaging of polarity in bovine oviductal organoids.Frontiers in cell and developmental biology · 2026
    Article
  13. Article
  14. Review
  15. Article
  16. Bone organoid construction and evolution.Journal of orthopaedic translation · 2025
    Review
  17. Article
  18. Frontiers in pharmacology · 2025
    Article
  19. Review
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

3 authors.

Samuel P MossDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
Ezgi BakirciDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
Adam W FeinbergDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA; Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, PA, USA. Electronic address: feinberg@andrew.cmu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organoids form through the sel f-organizing capabilities of stem cells to produce a variety of differentiated cell and tissue types. Most organoid models, however, are limited in terms of the structure and function of the tissues that form, in part because it is difficult to regulate the cell type, arrangement, and cell-cell/cell-matrix interactions within these systems. In this article, we will discuss the engineering approaches to generate more complex organoids with improved function and translational relevance, as well as their advantages and disadvantages. Additionally, we will explore how biofabrication strategies can manipulate the cell composition, 3D organization, and scale-up of organoids, thus improving their utility for disease modeling, drug screening, and regenerative medicine applications.

Indexed as

OrganoidsTissue EngineeringAnimalsCell DifferentiationHumansRegenerative MedicineStem Cells3D bioprintingbiofabricationorganoidsspheroidsstem cellsvascularization

Identifiers

PMID39706178
PMCPMC11784486

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.