ReviewExperimental & molecular medicine2021
Organoids in image-based phenotypic chemical screens.
Review in Experimental & molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 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
55 citing papers in PubMed, 1 synthesis or guideline pooled it, 93 citations in OpenAlex.
- A systematic review on the culture methods and applications of 3D tumoroids for cancer research and personalized medicine.Cellular oncology (Dordrecht, Netherlands) · 2025Pooled it
- An AI-integrated organoid platform enables high-throughput functional evaluation of bioactive metal ions.Bioactive materials · 2026Article
- Development of a universal imaging "phenome" using shape, appearance and motion (SAM) features and the SAM Phenotype Observation Tool (SPOT).Nature communications · 2026Article
- Identifying phenotype-genotype-function coupling in 3D organoid imaging using Shape, Appearance and Motion Phenotype Observation Tool (SPOT).Nature communications · 2026Article
- Sustained YAP/TAZ activation promotes aberrant alveolar epithelial cell differentiation and drives persistent fibrotic remodeling.JCI insight · 2026Article
- New approach methodologies for next-generation risk assessment of nanomaterials and nano-enabled products.Nano convergence · 2026Review
- Quantitative Cellular AGing Evaluation system (qCAGEs): a dual-parameter platform for high-throughput senescence screening.GeroScience · 2026Article
- Label-free interferometry platform for drug response profiling of bioprinted tumor organoids at single-organoid resolution.Nature protocols · 2026Review
- Image Tracing of Inflammatory Intestinal Organoids via Computational Clearing.Nanomaterials (Basel, Switzerland) · 2026Article
- Progress and new challenges in image-based profiling.Molecular systems biology · 2026Review
- Integrating Human Intestinal Organoids into FDA's New Approach Methodologies for Drug Discovery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Phenotypic high-throughput screening identifies modulators of gut microbial choline metabolism.mBio · 2026Article
- Human organoids and organ-on-chip systems for AI-guided therapeutic discovery against emerging and re-emerging infections.Frontiers in pharmacology · 2026Review
- Neuroengineering Frontiers: A Selective Review of Neural Interfaces, Brain-Machine Interactions, and Artificial Intelligence in Neurodegenerative Diseases.Applied sciences (Basel, Switzerland) · 2025Article
- Cell tracking with accurate error prediction.Nature methods · 2025Article
- cubic: CUDA-accelerated 3D Bioimage Computing.ArXiv · 2025Article
- A machine learning-based analysis method for small molecule high content screening of three-dimensional cancer spheroid morphology.Molecular pharmacology · 2025Article
- From 2D to 3D and beyond: the evolution and impact of in vitro tumor models in cancer research.Nature methods · 2025Review
- Unveiling how mitotic spindle orientation in 3D human colon organoids affects matrix displacements through a 4D study using DVC.Scientific reports · 2025Article
- Cell Painting: a decade of discovery and innovation in cellular imaging.Nature methods · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Image-based phenotypic screening relies on the extraction of multivariate information from cells cultured under a large variety of conditions. Technical advances in high-throughput microscopy enable screening in increasingly complex and biologically relevant model systems. To this end, organoids hold great potential for high-content screening because they recapitulate many aspects of parent tissues and can be derived from patient material. However, screening is substantially more difficult in organoids than in classical cell lines from both technical and analytical standpoints. In this review, we present an overview of studies employing organoids for screening applications. We discuss the promises and challenges of small-molecule treatments in organoids and give practical advice on designing, running, and analyzing high-content organoid-based phenotypic screens.
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.