Evidence map›Paper›PMID 40132519›Full record

ReviewCurrent opinion in neurobiology2025

Bioengineering tools for next-generation neural organoids.

Richard O'Laughlin, Fangyi Cheng, Hongjun Song, Guo-Li Ming

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

4 authors.

Richard O'LaughlinDepartment of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Fangyi ChengGraduate Program in Bioengineering, School of Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Hongjun SongDepartment of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Graduate Program in Bioengineering, School of Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; The Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Guo-Li MingDepartment of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Graduate Program in Bioengineering, School of Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School for Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: gming@pennmedicine.upenn.edu.

Funding

Epitranscriptomic regulation in the mammalian nervous systemR35NS137480 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Guo-li Ming · 2025 to 2026
$2.0M
NINDS NIH HHS R35 NS137480
6 · The paper itself

Abstract

Human stem cell-derived neural organoids were recently introduced as powerful in vitro 3D experimental model systems that innately undergo critical steps of organogenesis in culture and exhibit molecular, cellular, and structural features similar to the fetal human nervous system. These organoids have yielded new insights into human neurodevelopment and associated disorders. However, neural organoids have some crucial limitations that arise from the loosely controlled conditions for their development, an inability to maintain their spatial orientation in culture and a lack of technologies for taking long-term measurements on their morphology and electrical activity. Here, we review recent progress in using bioengineering methods to improve neural organoid formation and analysis by leveraging microfabrication, biomaterials, 3D printing, and flexible electrodes. We discuss how the applications of each technique can help to address critical limitations with standard neural organoid models. We conclude with a perspective on future applications of bioengineered next-generation neural organoids.

Indexed as

BioengineeringNeuronsOrganoidsTissue EngineeringAnimalsHumans3D printingbioengineeringbrainflexible electrodemicrofabricationneurodevelopmentorganoid

Identifiers

PMID40132519
PMCPMC13220798

What OpenQuestion holds

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LicenceCC BY-NC
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.