ReviewArchives of toxicology2019
Review of high-content screening applications in toxicology.
Review in Archives of toxicology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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
38 citing papers in PubMed.
- Artificial Intelligence-Powered High-Content Analysis: Methodologies and Applications in Bioactive Compound Discovery from Natural Sources.Molecules (Basel, Switzerland) · 2026Review
- Integrating HTS and CRISPR/Cas for next-generation nucleic and non-nucleic acid diagnostics.Molecular genetics and genomics : MGG · 2026Review
- CRISPR-engineered human lung organoids with a biomolecular condensate reporter enable mechanistic toxicity monitoring.Materials today. Bio · 2026Article
- Monitoring Nanoparticle Interaction with Murine Breast Cancer Cells Using Multimodal Fluorescence Lifetime Microscopy.International journal of molecular sciences · 2026Article
- Advancing chemical mixture toxicity assessment using advanced in vitro NAMs: current status and future perspectives.Frontiers in toxicology · 2026Review
- Smaller scale, same impact: replicating high-throughput phenotypic profiling in a medium-throughput lab for use in chemical risk assessment.Archives of toxicology · 2025Article
- Cytotoxic and Apoptotic Effects of Tin(IV) Complexes Containing a Schiff Base Derived from Cephalexin on a Breast Cancer Cell Line.Indian journal of clinical biochemistry : IJCB · 2025Article
- Live-cell painting: Image-based profiling in live cells using acridine orange.Molecular biology of the cell · 2025Article
- Comparative Analysis of Canonical Inflammasome Activation by Flow Cytometry, Imaging Flow Cytometry and High-Content Imaging.Inflammation · 2025Article
- A new paradigm for drug discovery in the treatment of complex diseases: drug discovery and optimization.Chinese medicine · 2025Review
- Engineered nanofiber scaffolds prime chromatin reorganization to sensitize cells for long-term and low-dose chemical hazard detection.Frontiers in pharmacology · 2025Article
- Rat embryonic stem cell-basedFrontiers in toxicology · 2025Article
- Automated Image-Based Fluorescence Screening of Mitochondrial Membrane Potential inEnvironmental science & technology · 2024Article
- A novel in vitro high-content imaging assay for the prediction of drug-induced lung toxicity.Archives of toxicology · 2024Article
- Sensitive Detection of Genotoxic Substances in Complex Food Matrices by Multiparametric High-Content Analysis.Molecules (Basel, Switzerland) · 2024Article
- Article
- Exploring the mechanism and phytochemicals in Psoraleae Fructus-induced hepatotoxicity based on RNA-seq, in vitro screening and molecular docking.Scientific reports · 2024Article
- Article
- Morphological alterations in C57BL/6 mouse intestinal organoids as a tool for predicting chemical-induced toxicity.Archives of toxicology · 2023Article
- The evolving role of investigative toxicology in the pharmaceutical industry.Nature reviews. Drug discovery · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
High-content screening (HCS) technology combining automated microscopy and quantitative image analysis can address biological questions in academia and the pharmaceutical industry. Various HCS experimental applications have been utilized in the research field of in vitro toxicology. In this review, we describe several HCS application approaches used for studying the mechanism of compound toxicity, highlight some challenges faced in the toxicological community, and discuss the future directions of HCS in regards to new models, new reagents, data management, and informatics. Many specialized areas of toxicology including developmental toxicity, genotoxicity, developmental neurotoxicity/neurotoxicity, hepatotoxicity, cardiotoxicity, and nephrotoxicity will be examined. In addition, several newly developed cellular assay models including induced pluripotent stem cells (iPSCs), three-dimensional (3D) cell models, and tissues-on-a-chip will be discussed. New genome-editing technologies (e.g., CRISPR/Cas9), data analyzing tools for imaging, and coupling with high-content assays will be reviewed. Finally, the applications of machine learning to image processing will be explored. These new HCS approaches offer a huge step forward in dissecting biological processes, developing drugs, and making toxicology studies easier.
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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.