Evidence map›Paper›PMID 31069322›Full record

ReviewAPL bioengineering2018

Review: Synthetic scaffolds to control the biochemical, mechanical, and geometrical environment of stem cell-derived brain organoids.

Mariana Oksdath, Sally L Perrin, Cedric Bardy, Emily F Hilder, Cole A DeForest, R Dario Arrua, Guillermo A Gomez

Abstract readReview
In one paragraph

Review in APL bioengineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Rethinking Matrigel: The Complex Journey to Matrix Alternatives in Organoid Culture.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  2. Review
  3. Brain organoid protocols and limitations.Frontiers in cellular neuroscience · 2024
    Review
  4. Review
  5. Article
  6. Engineered organoids for biomedical applications.Advanced drug delivery reviews · 2023
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Emerging hiPSC Models for Drug Discovery in Neurodegenerative Diseases.International journal of molecular sciences · 2021
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

7 authors.

Mariana OksdathCentre for Cancer Biology, South Australia Pathology and University of South Australia, Adelaide 5001, Australia.ORCID 0000-0001-6311-9170
Sally L PerrinCentre for Cancer Biology, South Australia Pathology and University of South Australia, Adelaide 5001, Australia.
Cedric Bardy
Emily F HilderFuture Industries Institute, University of South Australia, Mawson Lakes 5095, Australia.
Cole A DeForestDepartment of Chemical Engineering and Department of Bioengineering, University of Washington, Seattle, Washington 98195-1750, USA.ORCID 0000-0003-0337-3577
R Dario ArruaFuture Industries Institute, University of South Australia, Mawson Lakes 5095, Australia.
Guillermo A GomezCentre for Cancer Biology, South Australia Pathology and University of South Australia, Adelaide 5001, Australia.ORCID 0000-0002-0494-2404

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stem cell-derived brain organoids provide a powerful platform for systematic studies of tissue functional architecture and the development of personalized therapies. Here, we review key advances at the interface of soft matter and stem cell biology on synthetic alternatives to extracellular matrices. We emphasize recent biomaterial-based strategies that have been proven advantageous towards optimizing organoid growth and controlling the geometrical, biomechanical, and biochemical properties of the organoid's three-dimensional environment. We highlight systems that have the potential to increase the translational value of region-specific brain organoid models suitable for different types of manipulations and high-throughput applications.

Identifiers

PMID31069322
PMCPMC6481728

What OpenQuestion holds

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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.