Cytotoxicity Data for 16 Rare Earth Ions Across Eight Human Cell Lines

16 rare earth ions were screened for cytotoxicity across eight human cell lines, including single and 120 binary mixture exposures. The dataset, created by Yaqi Wang and last updated in May 2026, underpins a framework using machine learning to predict mixture toxicity and assess population risk. It includes high-throughput screening results identifying ATP depletion as a key benchmark.

Use Cases

• Predicting mixture cytotoxicity based on single and binary exposure data
• Benchmarking cytotoxicity of rare earth elements using ATP depletion as a point of departure
• Assessing population health risks from rare earth element exposure in mining areas
• Training consensus machine learning models for antagonistic interaction prediction

Strengths

• Covers 16 distinct rare earth ions, a comprehensive set of these emerging contaminants
• Includes data from 120 binary mixture combinations, enabling interaction analysis
• Validated with human primary hepatocytes, confirming human health relevance
• Framework integrates experimental data with machine learning for predictive risk assessment

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect bias inherent to the specific eight human cell lines used

Provenance

Source

Yaqi Wang via figshare

Collection Method

High-throughput screening of single and binary exposures on human cell lines

Freshness

Last updated 2026-05-16 13:35:38