The Monash Proteomics & Metabolomics Platform(MPMP) provides comprehensive proteomic, metabolomic, and lipidomic support for researchers and clinicians through collaborative and fee-for-service engagements. We enable high-throughput molecular analyses of diverse sample types, from biofluids and tissues to single cells, using state-of-the-art instrumentation and robust data-integration pipelines. Recent expansions include Seer™ nanoparticle enrichment for ultra-deep proteome coverage, short-chain fatty acid profiling, RNA-MS, and next-gen MS (Astral + Stellar).
Objective
Present MPMP’s multi-omics services, illustrating how integrated proteomic, metabolomic, lipidomic, and immunopeptidomic analyses, coupled with end-to-end expertise to enable comprehensive biomarker discovery and mechanistic insights.
Methods
Samples are processed using either standardised pipelines or novel approaches for specific research questions. Established workflows include:
Molecule Identification & Quantification: DDA, DIA, TMT, and SIL-based quantitation.
Advanced Sample Prep & Enrichment: Seer™ enhanced analysis of biofluids, automated enrichments, XL-MS, drug target ID, LIP-MS, PTMs.
Specialised workflows: Metaproteomics, immunopeptidomics, single-cell proteomics (Cellenion), RNA mass-spectrometry, and hydrogen-deuterium exchange (Trajan).
Targeted & High-Sensitivity Methods: Over 15 MS including Astrals paired with Stellar workflows for sensitive-high throughput and robust measurements.
Data Processing & Integration: Our in-house Monash Analyst Suites facilitates label-free and label-based quantification, PTM analyses (Phospho-Analyst), emerging NPX-Analyst (Olink) modules and multi-omics data integration via Pathway-Analyst.
Results
Representative projects using these platforms reveal enhanced detection of low-abundance proteins, refined coverage of metaproteomic samples, and detailed molecular insights from single-cell analyses and immunopeptidomes. Integration of proteomic, metabolomic, and lipidomic data has elucidated complex biological pathways, while targeted cytokines, short-chain fatty acid and RNA MS pipelines provide additional resolution for functional studies.
Conclusion
MPMP’s integrated multi-omics capabilities, spanning standard proteomic workflows to novel RNA mass spectrometry, short-chain fatty acid analysis, and advanced data integration, offer a robust environment for biomarker discovery and hypothesis-driven research. Ongoing development of our Analyst Suite underscores our drive to enhance data interpretation and knowledge generation.