MPLEx: a Robust and Universal Protocol for Single-Sample Integrative Proteomic, Metabolomic, and Lipidomic Analyses
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Nakayasu, Ernesto S, et al. Mplex: a Robust and Universal Protocol for Single-sample Integrative Proteomic, Metabolomic, and Lipidomic Analyses. 2016. https://doi.org/10.17615/xw6w-ts66APA
Nakayasu, E., Nicora, C., Sims, A., Burnum Johnson, K., Kim, Y., Kyle, J., Matzke, M., Shukla, A., Chu, R., Schepmoes, A., Jacobs, J., Baric, R., Webb Robertson, B., Smith, R., & Metz, T. (2016). MPLEx: a Robust and Universal Protocol for Single-Sample Integrative Proteomic, Metabolomic, and Lipidomic Analyses. https://doi.org/10.17615/xw6w-ts66Chicago
Nakayasu, Ernesto S., Carrie D Nicora, Amy C Sims, Kristin E Burnum Johnson, Young Mo Kim, Jennifer E Kyle, Melissa M Matzke et al. 2016. Mplex: a Robust and Universal Protocol for Single-Sample Integrative Proteomic, Metabolomic, and Lipidomic Analyses. https://doi.org/10.17615/xw6w-ts66- Creator
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Nakayasu, Ernesto S.
- Other Affiliation: Earth and Biological Sciences Directorate; Pacific Northwest National Laboratory
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Nicora, Carrie D.
- Other Affiliation: Earth and Biological Sciences Directorate; Pacific Northwest National Laboratory
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Sims, Amy C.
- Affiliation: Gillings School of Global Public Health, Department of Epidemiology
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Burnum-Johnson, Kristin E.
- Other Affiliation: Earth and Biological Sciences Directorate; Pacific Northwest National Laboratory
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Kim, Young-Mo
- Other Affiliation: Earth and Biological Sciences Directorate; Pacific Northwest National Laboratory
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Kyle, Jennifer E.
- Other Affiliation: Earth and Biological Sciences Directorate; Pacific Northwest National Laboratory
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Matzke, Melissa M.
- Other Affiliation: Earth and Biological Sciences Directorate; Pacific Northwest National Laboratory
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Shukla, Anil K.
- Other Affiliation: Earth and Biological Sciences Directorate; Pacific Northwest National Laboratory
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Chu, Rosalie K.
- Other Affiliation: Earth and Biological Sciences Directorate; Pacific Northwest National Laboratory
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Schepmoes, Athena A.
- Other Affiliation: Earth and Biological Sciences Directorate; Pacific Northwest National Laboratory
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Jacobs, Jon M.
- Other Affiliation: Earth and Biological Sciences Directorate; Pacific Northwest National Laboratory
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Baric, Ralph S.
- Affiliation: Gillings School of Global Public Health, Department of Epidemiology
- Other Affiliation: Department of Microbiology and Immunology
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Webb-Robertson, Bobbie-Jo
- Other Affiliation: National Security Directorate; Pacific Northwest National Laboratory
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Smith, Richard D.
- Other Affiliation: Earth and Biological Sciences Directorate; Pacific Northwest National Laboratory
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Metz, Thomas O.
- Other Affiliation: Earth and Biological Sciences Directorate; Pacific Northwest National Laboratory
- Abstract
- ABSTRACT Integrative multi-omics analyses can empower more effective investigation and complete understanding of complex biological systems. Despite recent advances in a range of omics analyses, multi-omic measurements of the same sample are still challenging and current methods have not been well evaluated in terms of reproducibility and broad applicability. Here we adapted a solvent-based method, widely applied for extracting lipids and metabolites, to add proteomics to mass spectrometry-based multi-omics measurements. The m etabolite, p rotein, and l ipid ex traction (MPLEx) protocol proved to be robust and applicable to a diverse set of sample types, including cell cultures, microbial communities, and tissues. To illustrate the utility of this protocol, an integrative multi-omics analysis was performed using a lung epithelial cell line infected with Middle East respiratory syndrome coronavirus, which showed the impact of this virus on the host glycolytic pathway and also suggested a role for lipids during infection. The MPLEx method is a simple, fast, and robust protocol that can be applied for integrative multi-omic measurements from diverse sample types (e.g., environmental, in vitro , and clinical). IMPORTANCE In systems biology studies, the integration of multiple omics measurements (i.e., genomics, transcriptomics, proteomics, metabolomics, and lipidomics) has been shown to provide a more complete and informative view of biological pathways. Thus, the prospect of extracting different types of molecules (e.g., DNAs, RNAs, proteins, and metabolites) and performing multiple omics measurements on single samples is very attractive, but such studies are challenging due to the fact that the extraction conditions differ according to the molecule type. Here, we adapted an organic solvent-based extraction method that demonstrated broad applicability and robustness, which enabled comprehensive proteomics, metabolomics, and lipidomics analyses from the same sample.
- Date of publication
- 2016
- Keyword
- DOI
- Identifier
- PMID: 27822525
- PMCID: PMC5069757
- Onescience id: 89fb79cf16f8dee803eb40114fc14c379d19d93f
- Publisher DOI: https://doi.org/10.1128/mSystems.00043-16
- Resource type
- Article
- Rights statement
- In Copyright
- Journal title
- MSystems
- Journal volume
- 1
- Journal issue
- 3
- Page start
- e00043-16
- Language
- English
- ISSN
- 2379-5077
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