Evidence map›Paper›PMID 35205182›Full record

ReviewBiology2022

Multielectrode Arrays for Functional Phenotyping of Neurons from Induced Pluripotent Stem Cell Models of Neurodevelopmental Disorders.

Fraser P McCready, Sara Gordillo-Sampedro, Kartik Pradeepan, Julio Martinez-Trujillo, James Ellis

Abstract readReview
In one paragraph

Review in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Review
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  3. Review
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  6. Loss of function of the chromatin remodeling geneProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
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  10. Review
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  17. Human iPSC-Derived MSCs Induce Neurotrophic Effects and Improve Metabolic Activity in Acute Neuronal Injury Models.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  18. Article
  19. Article
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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

5 authors.

Fraser P McCreadyDepartment of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.
Sara Gordillo-SampedroDepartment of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.
Kartik PradeepanDepartment of Physiology and Pharmacology, Department of Psychiatry, Robarts Research and Brain and Mind Institutes, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, Canada.ORCID 0000-0003-0979-7928
Julio Martinez-TrujilloDepartment of Physiology and Pharmacology, Department of Psychiatry, Robarts Research and Brain and Mind Institutes, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, Canada.ORCID 0000-0003-3338-578X
James EllisDepartment of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.ORCID 0000-0002-4400-0091

Funding

Autism Speaks 11879Simons Foundation 514918
6 · The paper itself

Abstract

In vitro multielectrode array (MEA) systems are increasingly used as higher-throughput platforms for functional phenotyping studies of neurons in induced pluripotent stem cell (iPSC) disease models. While MEA systems generate large amounts of spatiotemporal activity data from networks of iPSC-derived neurons, the downstream analysis and interpretation of such high-dimensional data often pose a significant challenge to researchers. In this review, we examine how MEA technology is currently deployed in iPSC modeling studies of neurodevelopmental disorders. We first highlight the strengths of in vitro MEA technology by reviewing the history of its development and the original scientific questions MEAs were intended to answer. Methods of generating patient iPSC-derived neurons and astrocytes for MEA co-cultures are summarized. We then discuss challenges associated with MEA data analysis in a disease modeling context, and present novel computational methods used to better interpret network phenotyping data. We end by suggesting best practices for presenting MEA data in research publications, and propose that the creation of a public MEA data repository to enable collaborative data sharing would be of great benefit to the iPSC disease modeling community.

Indexed as

astrocytesinduced pluripotent stem cellsmultielectrode arraysneurodevelopmental disordersneurons

Identifiers

PMID35205182
PMCPMC8868577

What OpenQuestion holds

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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.