Evidence map›Paper›PMID 40940692›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

One-Step Drug Screening System Utilizing Electrophysiological Activity in Multiple Brain Organoids.

Hyogeun Shin, Yeonjoo An, Ju-Hyun Lee, Ji Hun Kim, Renuka Prasad, Keun-Tae Kim, Hoon-Chul Kang, Woong Sun, Seung-Woo Cho, Il-Joo Cho

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Three-dimensional microelectrode arrays forBiomedical engineering letters · 2026
    Review
  3. Review
  4. Review
  5. Beyond monolayers: a comparative analysis of 2D cell cultures and 3DFrontiers in bioengineering and biotechnology · 2026
    Review
  6. Review
  7. Article
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

10 authors.

Hyogeun ShinSchool of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, Daegu, 41566, Republic of Korea.
Yeonjoo AnDepartment of Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea.
Ju-Hyun LeeCenter for Brain Technology, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea.
Ji Hun KimDivision of Pediatric Neurology, Department of Pediatrics, Severance Children's Hospital, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Renuka PrasadDepartment of Convergence Medicine, College of Medicine, Korea University, Seoul, 02841, Republic of Korea.
Keun-Tae KimDepartment of Convergence Medicine, College of Medicine, Korea University, Seoul, 02841, Republic of Korea.
Hoon-Chul KangDivision of Pediatric Neurology, Department of Pediatrics, Severance Children's Hospital, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Woong SunDepartment of Convergence Medicine, College of Medicine, Korea University, Seoul, 02841, Republic of Korea.
Seung-Woo ChoDepartment of Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea.
Il-Joo ChoDepartment of Convergence Medicine, College of Medicine, Korea University, Seoul, 02841, Republic of Korea.ORCID https://orcid.org/0000-0001-9016-6749

Funding

Bio & Medical Technology Development Program RS-2024-00441103Brain Science Leading Convergence Technology Development Project RS-2025-02303740Institute for Basic Science IBS-R026-D1Korea Evaluation Institute of Industrial Technology RS-2024-00419956Ministry of Science and ICT and Ministry of Health & Welfare, Republic of Korea RS-2024-00467876Ministry of Science and ICT (MSIT) 2022M3A9B6082675Ministry of Science and ICT (MSIT) RS-2024-00395393Ministry of Science & ICTNational Research FoundationSamsung Research Funding & Incubation Center of Samsung Electronics under Project Number SRFC-IT2402-16
6 · The paper itself

Abstract

Human-induced pluripotent stem cell (iPSC)-derived brain organoids have attracted significant attention as promising models for drug screening owing to their remarkable resemblance to the human brain. The advent of disease model organoids, derived from patient's cells, has further elevated expectations for drug screening and personalized medicine. Nevertheless, the absence of a comprehensive platform for administering drugs and assessing their efficacy based on functional changes in brain organoids has remained a challenge. In this study, we introduce a one-step drug screening system designed designed to investigate functional changes induced by diverse drug doses in multiple brain organoids, utilizing electrophysiological signal measurements. Our system comprises a specialized culture chamber with a microfluidic chip capable of accommodating 10 organoids and delivering varying doses of two drugs to each organoid. Additionally, we integrate a three dimentional microelectrode array (3D MEA) with ten shanks, enabling functional assessment of 10 brain organoids. This approach facilitates dose-dependent drug screening across multiple organoids. We demonstrate the effectiveness of our system through real-time analysis of neural activity changes triggered by different doses of pottassium chloride (KCl). Furthermore, sodium channel protein type 2 subunit alpha (SCN2A)-epileptic organoids to demonstrate utility in disease-model-based drug screening. Our platform enables functional screening and personalized medicine using brain organoids.

Indexed as

BrainOrganoidsDrug Evaluation, PreclinicalElectrophysiological PhenomenaHumansInduced Pluripotent Stem Cells3D electrode arraybrain organoiddrug screeningelectrophysiological activitymicrofluidic chip

Identifiers

PMID40940692
PMCPMC12533132

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Registered trials

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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.