HAL (France)
open access
Advancing genotoxicity assessment with transcriptomic biomarkers: from 2D to 3D HepaRG spheroid models
The development of New Approach Methodologies (NAMs) for genotoxicity testing is needed to support the transition toward animal-free human-relevant chemical genotoxicity assessment. In this context, we investigated the predictive power of two transcriptomic biomarkers developed in 2D cell systems (G
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Exposure Duration Shapes the Hepatic Response to GenX: Divergent Acute and Chronic Transcriptomic Profiles Reveal Non-Monotonic Dose Effects and Increased Sensitivity in Human Liver Spheroids#779340
- Challenges and solutions in transitioning to animal-free standards: a comprehensive analysis of components in human cell-based developmental neurotoxicity assays.#227920
- Semantic knowledge improves molecular machine learning for chemical toxicity prediction.#422908
- Decoding the role of H19 in cholestatic liver injury using snRNA-seq, spatial transcriptomics, and machine learning-based disease prediction#1250308
- Hazard Prioritization and Transcriptomic Characterization of PFASs Based on Machine Learning and Human Liver Spheroids#1107117
Record · ID 1345718
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive