PAG33 Recap: Advancing Integrated Omics for Plant Bioactives Discovery

The Plant and Animal Genome Conference (PAG) 33—held this year in San Diego—brought together global leaders in genomics, multi‑omics, and computational biology to explore cutting‑edge advances in plant science, bioactive compounds, and translational genomics. MetwareBio was proud to participate not only as an exhibitor but also as a scientific contributor with two workshops and one poster presentation, reflecting our deepening engagement with the research community.

MetwareBio at PAG33: Workshops, Poster & Collaboration

At PAG33, MetwareBio presented:

1. Workshop: Innovative Mass Spectrometry Solutions for the Comprehensive Characterization of Plant Bioactive Compounds — held on Saturday, Jan 13 (7:00 PM, Room 3-4). This session focused on cutting-edge mass spectrometry approaches to studying plant bioactives, with an emphasis on multi-omics data integration.

2. Workshop: Innovative Mass Spectrometry Solutions for the Comprehensive Characterization of Plant Proteins and Metabolites — held on Tuesday, Jan 15 (3:40 PM, Pacific D). This workshop covered our latest advances in proteomics and metabolomics techniques for plant research.

3. Poster Presentation — Summarizing key case studies where integrated omics uncovered novel biomarkers and biochemical pathways in plant bioactives research.

This participation fostered rich scientific exchange and highlighted MetwareBio’s commitment to enabling high‑resolution insights through advanced omics strategies.

Expanding Our Omics Services to Support Frontier Research

Aligned with the research trends at PAG33, MetwareBio has expanded our service portfolio to support deeper functional exploration:

• Advanced Proteomics & PTM Profiling: Building beyond baseline proteome coverage, we now offer comprehensive phosphoproteomics, ubiquitinomics, acetylation analysis, and additional post‑translational modification profiling to decode signaling networks and regulatory phenomena.

• Targeted Quantitative Assays: Our targeted proteomics and targeted metabolomics services have been enriched with more customizable panels, enabling precise quantitation of low‑abundance targets and candidate biomarkers.

• Integration‑Ready Multi‑Omics Solutions: Designed for cross‑platform synergy, our workflows support seamless integration of proteomic, metabolomic, lipidomic, and transcriptomic data, with tailored bioinformatics and visualization.

Discover the full suite of our services at www.metwarebio.com and explore how they can accelerate your research from data generation to biological discovery.

Key Insights from PAG33: Advancing Multi-Omics Integration

At PAG33, the conference highlighted key trends in multi-omics integration and systems biology, which are essential for understanding complex plant biology and advancing research in agriculture and biotechnology. The main themes discussed included:

• Multi-Omics Integration: By combining genomics, proteomics, metabolomics, and spatial profiling, researchers are now able to map holistic biological networks that link genotype to phenotype. This multi-modal approach allows for deeper insights into critical pathways controlling stress responses, metabolic regulation, and developmental processes in plants.

• Spatial and High-Resolution Omics: Advances in techniques like spatial metabolomics are enabling scientists to not only analyze what molecules are present but also where they accumulate in tissues and developmental stages. This high-resolution approach is crucial for understanding plant heterogeneity, as metabolic and proteomic profiles vary across different cell types and regions.

• Post-Translational Modifications (PTMs): The integration of PTM data, such as phosphoproteomics, into multi-omics workflows is providing valuable insights into the dynamic regulation of proteins during stress adaptation, development, and environmental responses. PTMs are key regulators of metabolic pathways and are increasingly recognized as essential components in understanding complex biological systems.

• Machine Learning and Advanced Analytics: The use of AI and machine learning to analyze multi-omics datasets is becoming indispensable. These computational tools help identify hidden patterns, infer regulatory networks, and predict complex biological behaviors, thus enhancing the interpretation of omics data beyond traditional statistical approaches.

These emerging trends underscore the transition from isolated omic studies to more integrative, systems-level approaches, which MetwareBio is committed to advancing with our suite of multi-omics services, including integrated metabolomics, spatial omics, deep proteomics, and PTM profiling.

Join Us at AACR Annual Meeting 2026

The AACR Annual Meeting 2026 will be held from April 17–22, 2026 at the San Diego Convention Center. As a leading event for cancer research and translational science, this conference showcases breakthroughs in biology, therapy development, immunology, and clinical oncology.

Visit our booth #3552 to explore advanced proteomics and targeted omics solutions in disease biology. We look forward to connecting with you and discussing how our cutting-edge technologies can support your research.