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Updated: Mar 12, 2026

The MPLEx Protocol for Multi-omic Analyses of Soil Samples
Published on: May 30, 2018
MPLEx: a Robust and Universal Protocol for Single-Sample Integrative Proteomic, Metabolomic, and Lipidomic Analyses
Ernesto S Nakayasu1, Carrie D Nicora1, Amy C Sims2
1Earth & Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA.
A new MPLEx protocol enables robust, simultaneous proteomics, metabolomics, and lipidomics from single samples. This method advances systems biology by simplifying multi-omics data acquisition across diverse biological samples.
Area of Science:
- Systems Biology
- Biochemistry
- Molecular Biology
Background:
- Integrative multi-omics analyses offer deeper insights into complex biological systems.
- Simultaneous omics measurements from single samples are challenging due to differing extraction requirements.
- Existing multi-omics methods lack robust evaluation for reproducibility and broad applicability.
Purpose of the Study:
- To adapt and evaluate a solvent-based method for simultaneous extraction of metabolites, proteins, and lipids.
- To establish a robust protocol for mass spectrometry-based multi-omics measurements.
- To demonstrate the utility of the developed protocol in an integrative analysis of viral infection.
Main Methods:
- Adapted a solvent-based extraction method for simultaneous metabolite, protein, and lipid extraction (MPLEx).
- Applied the MPLEx protocol to diverse sample types: cell cultures, microbial communities, and tissues.
- Performed integrative multi-omics analysis on lung epithelial cells infected with MERS-CoV.
Main Results:
- The MPLEx protocol proved robust and broadly applicable across various sample types.
- Integrative analysis revealed the impact of MERS-CoV on host glycolytic pathways.
- The study suggested a potential role for lipids in viral infection dynamics.
Conclusions:
- The MPLEx method provides a simple, fast, and robust approach for integrative multi-omics measurements.
- This protocol facilitates comprehensive proteomics, metabolomics, and lipidomics from single samples.
- MPLEx enhances systems biology research by enabling efficient multi-omic data generation from diverse sources.
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