MPLEx: a Robust and Universal Protocol for Single-Sample Integrative Proteomic, Metabolomic, and Lipidomic Analyses

Method Abstract

Last updated on 2023-01-30T00:09:57+00:00 by LN Anderson

MPLEx Method Protocol for Integrative Single-Sample Processing for Subsequent Proteomic, Metabolomic, and Lipidomic Analyses

The Metabolite, Protein and Lipid Extraction (MPLEx) method protocol is a robust sample processing technique applicable to a breadth of diverse sample types, including various cell cultures, environmental collections, and delicate  tissues. The MPLEx method is comprised of an adapted solvent-based method, widely applied for extracting functional characterization information from complex cellular structures containing metabolites, lipids, and protein for analysis by mass spectrometry-based qualitative and quantitative measurements.

      Method Source Contributions

        MPLEx Experimental Method Ontology

        Laboratory Method Type:  Experimental Protocol [SIO:001043] > SOP [SIO:000964]

        Related Acquisition Methods:  Mass Spectrometry [CHMO:0000470] > liquid chromatography mass spectrometry (LC-MS) [CHMO:0000524], gas chromatography mass spectrometry (GC-MS) [CHMO:0000497]

        Topic Areas:  Omics > ProteomicsLipidomicsMetabolomicsPhenomics

        Explore PNNL DataHub projects utilizing data source acquisition methods related to published data from integrated research platforms using high-resolution mass spectrometry (HR-MS) method technologies (see example). Instrument capabilities are linked to published project datasets, publications, analyses and externally related database resources from a suite of cross-discipline data science domain investigations. For more information about complimentary downstream instrument capabilities leveraging the MPLEx sample preparation method, visit the EMSL Omics & Mass Spectrometer (MS) landing pages:

         

        Acknowledgment of Federal Funding

        The data described here was funded in whole or in part by the National Institute of Allergy and Infectious Diseases, of the National Institutes of Health under award number U19AI106772 and is a contribution of the "Modeling Host Responses to Understand Severe Human Virus Infections" Project at Pacific Northwest National Laboratory. Data generated by the Omics-LHV Core for proteomics, metabolomics, and lipidomics analyses for were performed at Pacific Northwest National Laboratory in the Environmental Molecular Sciences Laboratory, a national scientific user facility sponsored by the Department of Energy’s (DOE) Office, operating under the Battelle Memorial Institute for the DOE under contract number DE-AC05-76RLO1830. 

        Reference Citation

        Nakayasu ES, Nicora CD, Sims AC, Burnum-Johnson KE, Kim YM, Kyle JE, Matzke MM, Shukla AK, Chu RK, Schepmoes AA, Jacobs JM, Baric RS, Webb-Robertson BJ, Smith RD, Metz TO. MPLEx: a Robust and Universal Protocol for Single-Sample Integrative Proteomic, Metabolomic, and Lipidomic Analyses. mSystems. 2016 May 10;1(3):e00043-16. doi: 10.1128/mSystems.00043-16.

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          CC0 1.0 (project metadata and PNNL DataHub policy default)

            Projects (2)

            Last updated on 2023-05-05T16:36:07+00:00 by LN Anderson PNNL DataHub NIAID Program Project: Modeling Host Responses to Understand Severe Human Virus Infections, Multi-Omic Viral Dataset Catalog Collection The National Institute of Allergy and Infectious Diseases (NIAID) "Modeling Host Responses to...

            1. Datasets

              45

            The Phenotypic Response of the Soil Microbiome to Environmental Perturbations Project (Soil Microbiome SFA) at Pacific Northwest National Laboratory is a Genomic Sciences Program Science Focus Area (SFA) Project operating under the Environmental Microbiome Science Research Area. The Soil Microbiome...

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              18
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            People (1)

            Lindsey Anderson’s research has been dedicated to the identification and characterization of novel, targeted and non-targeted, functional metabolic interactions using a high-throughput systems biology and computational biology approach. Her expertise in functional metabolism and multidisciplinary...

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