ArticleeLife2020
A fully automated high-throughput workflow for 3D-based chemical screening in human midbrain organoids.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 142 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
142 citing papers in PubMed, 1 synthesis or guideline pooled it, 206 citations in OpenAlex.
- Mapping the Cerebral Organoid Landscape: A Systematic Review of Preclinical 3D Models in Neuroscience.Advanced healthcare materials · 2026Pooled it
- New approach methodologies in nanomedicine: bridging the gap betweenChemical Society reviews · 2026Review
- Using human 3D organoid models to gain mechanistic insight in motor neuron diseases.Nature reviews. Neuroscience · 2026Review
- New paradigm of q-CAR drug development targeting disease-specific protein conformations.npj drug discovery · 2026Review
- Automation of 3D liver spheroid generation and acetaminophen dose-response on the MO:BOT enhances assay robustness and precision.Scientific reports · 2026Article
- Advances and applications of brain organoids in central nervous system disorders: Bridging the gap from laboratory to clinic.Neural regeneration research · 2026Article
- Quantitative Cellular AGing Evaluation system (qCAGEs): a dual-parameter platform for high-throughput senescence screening.GeroScience · 2026Article
- Engineering brain organoids: from neurodevelopmental modeling to translational barriers.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2026Review
- Human organoids: Fit for drug discovery?Stem cell reports · 2026Review
- Cellular Products with Anti-Inflammatory Properties for the Treatment of Cartilage Lesions.International journal of molecular sciences · 2026Review
- Accelerating Leigh syndrome drug discovery through deep learning screening in brain organoids.Nature communications · 2026Article
- Brain Organoids: Emerging Platforms for Modern Neuroscience.Brain sciences · 2026Review
- Micro Pattern-Based 3D Cell Culture Platform: An Overview of Technologies and Applications.Exploration (Beijing, China) · 2026Review
- Brain organoids in environmental neurotoxicology: applications, mechanisms, and future perspectives.Cell biology and toxicology · 2026Review
- From organoid culture to manufacturing: technologies for reproducible and scalable organoid production.npj biomedical innovations · 2026Review
- Pharmacological Complexities of Herbal Medicinal Extracts: A Review of Bioavailability, Interactions, and Standardization.Current drug metabolism · 2026Review
- AI and organoid platforms for brain-targeted theranostics.Theranostics · 2026Review
- Modeling ALS in a dish: how organoids are transforming research.Frontiers in medicine · 2026Review
- Pluripotent stem cells-based neural organoids for modelling human brain development and diseases.Cell & bioscience · 2025Review
- In vivo intratumoral heterogeneity in a dish: scalable forebrain organoid models of embryonal brain tumors for high-throughput personalized drug discovery.Cancer communications (London, England) · 2025Article
82 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 4 institutions in 2 countries.
Funding
Abstract
Three-dimensional (3D) culture systems have fueled hopes to bring about the next generation of more physiologically relevant high-throughput screens (HTS). However, current protocols yield either complex but highly heterogeneous aggregates ('organoids') or 3D structures with less physiological relevance ('spheroids'). Here, we present a scalable, HTS-compatible workflow for the automated generation, maintenance, and optical analysis of human midbrain organoids in standard 96-well-plates. The resulting organoids possess a highly homogeneous morphology, size, global gene expression, cellular composition, and structure. They present significant features of the human midbrain and display spontaneous aggregate-wide synchronized neural activity. By automating the entire workflow from generation to analysis, we enhance the intra- and inter-batch reproducibility as demonstrated via RNA sequencing and quantitative whole mount high-content imaging. This allows assessing drug effects at the single-cell level within a complex 3D cell environment in a fully automated HTS workflow.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.