Mass Spectrometry-Based Integrated Multiomics Platforms for Medicinal Plant Analysis.

Area of Science:

• Plant science
• Biochemistry
• Analytical chemistry

Background:

• Plant matrices present unique analytical challenges due to complexity and secondary metabolites.
• Standardized workflows are crucial for reproducible multiomics studies in plants.

Purpose of the Study:

• To present integrated protocols for untargeted plant metabolomics, lipidomics, and proteomics.
• To provide guidance on data processing, statistical analysis, and multiomics integration for plant studies.

Main Methods:

• Harmonized workflows for sample collection, preparation, and analysis using GC-MS, LC-qTOF-MS, and microflow LC-MS/MS.
• Detailed protocols for metabolomics, lipidomics, and proteomics, emphasizing plant-specific parameters.
• Quality control strategies and prevention of analytical artifacts.

Main Results:

• Established comprehensive protocols for plant metabolomics, lipidomics, and proteomics.
• Outlined best practices for data preprocessing, annotation, statistical analysis, and multiomics integration.
• Demonstrated suitability for method development and large-scale comparative plant analyses.

Conclusions:

• The presented protocols enable reproducible, high-quality plant multiomics studies.
• These integrated methods support robust analysis of plant biochemical diversity and responses.
• Suitable for diverse applications across plant species, tissues, and experimental conditions.