HormonomicsDB

HormonomicsDB queries untargeted mass spectrometry datasets against a curated database of more than 200 known plant hormones, their precursors, metabolites and conjugates to facilitate hormone identification and characterization.

Key Features:

• Curated Database: Contains more than 200 known plant hormones, their precursors, metabolites and conjugates compiled from an in-depth literature review.
• Retention Time Prediction: Incorporates retention time prediction using Retip for LC-MS data analysis.
• Synthetic Biotransformations: Enables prediction of novel metabolites through incorporation of synthetic biotransformations.
• Standardized LC-MS Protocol: Encompasses sample preparation, analysis, data processing and hormone annotation with a 30 min analysis time using a common solvent system.
• Validation: Validated through a meta-analysis of 14 plant metabolomics studies.

Scientific Applications:

• Untargeted Hormone Analysis: Identifies and characterizes plant growth regulators and hormones from untargeted LC-MS datasets.
• Hormonome Characterization: Enables characterization of the known hormonome across diverse sample types.
• Hypothesis Generation: Supports generation of hypotheses to reveal new insights into hormone signaling networks.
• Environmental Contaminant Assessment: Addresses challenges in measuring hormones that function as environmental contaminants.

Methodology:

An in-depth literature review was performed to generate the database, and an RShiny App was developed to enable web-based searches. An accompanying LC-MS protocol was developed with retention time prediction in Retip. A meta-analysis of 14 plant metabolomics studies was used for validation.