TMNP

TMNP constructs multi-scale associations between herbal treatments and biological systems by analyzing pharmacotranscriptomics-derived transcriptome profiles to reveal molecular-to-tissue level effects.

Key Features:

• Pharmacotranscriptomics input: Uses gene-expression profiles induced by herbal treatments as the primary input data for analysis.
• Functional gene signatures: Builds specific functional gene signatures across different biological scales to enable multi-scale analysis.
• Correlation algorithms: Implements specialized algorithms to measure correlations between transcriptional profiles and types of functional gene signatures.
• Multi-scale integration: Integrates molecular-to-tissue level signatures into a unified framework, extending beyond chemo-centric 'herb-compound-target-disease' models.
• Herb–biology association construction: Constructs associations between herbs and various biological entities across multiple scales using transcriptome-derived signatures.

Scientific Applications:

• Astragalus membranaceus analysis: Applied to study the multi-scale biological effects of Astragalus membranaceus using herb-induced transcriptome data.
• Xuesaitong injection analysis: Applied to analyze the multi-scale biological effects of Xuesaitong injection from molecular to tissue levels.

Methodology:

Constructs functional gene signatures for different biological scales, designs algorithms to correlate transcriptional profiles with these signatures, and uses pharmacotranscriptomics data to build associations between herbal treatments and their multi-scale effects.