Multi-Omics Analysis of Triptolide Effects on Non-Small Cell Lung Cancer Metabolism

A multi-omics dataset from a study investigating the antitumor mechanisms of triptolide in non-small cell lung cancer. The data likely contains results from untargeted metabolomics and DARTS proteomics analyses, identifying metabolic alterations and PDHX as a candidate mediator. The dataset was authored by Quancheng Yang and last updated on 2026-04-21.

Use Cases

• Identify metabolic pathway alterations in cancer cells based on untargeted metabolomics results mentioned in the description
• Screen for drug-protein interactions based on DARTS proteomics data described in the methods
• Validate candidate nodes like PDHX within broader metabolic networks disrupted by drug treatment
• Correlate in vitro assay results (proliferation, migration) with multi-omics profiles from the study

Strengths

• Integrates multiple data types (metabolomics, proteomics, functional assays) for a multi-omics perspective.
• Focuses on a specific, clinically relevant cancer type (non-small cell lung cancer) and a natural compound (triptolide).
• The dataset is shared under a permissive CC-BY-4.0 license, facilitating reuse.

Limitations

• The dataset is very small (297.0 KB), suggesting limited scope or summary-level data rather than raw experimental outputs.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analyses.

Provenance

Source

figshare

Collection Method

Generated from in vitro and in vivo experiments using NSCLC cell models, including CCK-8, Transwell, ROS, MMP assays, untargeted metabolomics, and DARTS proteomics.

Freshness

Last updated 2026-04-21 05:35:11; freshness should be verified.