ArticleChemical research in toxicology2017
21st Century Cell Culture for 21st Century Toxicology.
Article in Chemical research in toxicology, 2017. 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.
- The application progress of organoid technology in the toxicity assessment of environmental pollutants.Cell biology and toxicology · 2026Review
- Impact of ethanol as a vehicle for water-insoluble pollutants in BEAS-2B cell toxicity assays.Toxicology mechanisms and methods · 2025Article
- Testicular cryopreservation: From technical aspects to practical applications.Histology and histopathology · 2025Review
- Time-course characterization of whole-transcriptome dynamics of HepG2/C3A spheroids and its toxicological implications.Toxicology letters · 2024Article
- Seminar: Functional Exposomics and Mechanisms of Toxicity-Insights from Model Systems and NAMs.Environmental health perspectives · 2024Review
- Recommendations on fit-for-purpose criteria to establish quality management for microphysiological systems and for monitoring their reproducibility.Stem cell reports · 2024Review
- Comparison of cytotoxicity methods for studyingCentral-European journal of immunology · 2024Article
- Towards a microfluidic H295R steroidogenesis assay-biocompatibility study and steroid detection on a thiol-ene-based chip.Analytical and bioanalytical chemistry · 2023Article
- G × E interactions as a basis for toxicological uncertainty.Archives of toxicology · 2023Article
- Human IPSC 3D brain model as a tool to study chemical-induced dopaminergic neuronal toxicity.Neurobiology of disease · 2022Article
- Predictive Performance of Next Generation Physiologically Based Kinetic (PBK) Model Predictions in Rats Based on In Vitro and In Silico Input Data.Toxicological sciences : an official journal of the Society of Toxicology · 2022Article
- A human-derived 3D brain organoid model to study JC virus infection.Journal of neurovirology · 2022Article
- Review of Cyanotoxicity Studies Based on Cell Cultures.Journal of toxicology · 2022Review
- Development of alveolar-capillary-exchange (ACE) chip and its application for assessment of PMEcotoxicology and environmental safety · 2021Article
- Review
- Applicability of Scrape Loading-Dye Transfer Assay for Non-Genotoxic Carcinogen Testing.International journal of molecular sciences · 2021Review
- Human Oligodendrocytes and Myelin In Vitro to Evaluate Developmental Neurotoxicity.International journal of molecular sciences · 2021Review
- Gene-Environment Interactions in Developmental Neurotoxicity: a Case Study of Synergy between Chlorpyrifos and CHD8 Knockout in Human BrainSpheres.Environmental health perspectives · 2021Article
- Article
- Acute, reproductive, and developmental toxicity of essential oils assessed with alternative in vitro and in vivo systems.Archives of toxicology · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
There is no good science in bad models. Cell culture is especially prone to artifacts. A number of novel cell culture technologies have become more broadly available in the 21st century, which allow overcoming limitations of traditional culture and are more physiologically relevant. These include the use of stem-cell derived human cells, cocultures of different cell types, scaffolds and extracellular matrices, perfusion platforms (such as microfluidics), 3D culture, organ-on-chip technologies, tissue architecture, and organ functionality. The physiological relevance of such models is further enhanced by the measurement of biomarkers (e.g., key events of pathways), organ specific functionality, and more comprehensive assessment cell responses by high-content methods. These approaches are still rarely combined to create microphysiological systems. The complexity of the combination of these technologies can generate results closer to the in vivo situation but increases the number of parameters to control, bringing some new challenges. In fact, we do not argue that all cell culture needs to be that sophisticated. The efforts taken are determined by the purpose of our experiments and tests. If only a very specific molecular target to cell response is of interest, a very simple model, which reflects this, might be much more suited to allow standardization and high-throughput. However, the less defined the end point of interest and cellular response are, the better we should approximate organ- or tissue-like culture conditions to make physiological responses more probable. Besides these technologic advances, important progress in the quality assurance and reporting on cell cultures as well as the validation of cellular test systems brings the utility of cell cultures to a new level. The advancement and broader implementation of Good Cell Culture Practice (GCCP) is key here. In toxicology, this is a major prerequisite for meaningful and reliable results, ultimately supporting risk assessment and product development decisions.
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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.