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Open AccessFeature PaperArticle

IsoSearch: An Untargeted and Unbiased Metabolite and Lipid Isotopomer Tracing Strategy from HR-LC-MS/MS Datasets

1
Division of Signal Transduction, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA
2
Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
3
Institute of Metabolism and Integrative Biology, Fudan University, Shanghai 200438, China
4
Proteome Software, Inc., Portland, OR 97219, USA
5
Calico Life Sciences, San Francisco, CA 94080, USA
*
Author to whom correspondence should be addressed.
Methods Protoc. 2020, 3(3), 54; https://doi.org/10.3390/mps3030054
Received: 25 June 2020 / Revised: 27 July 2020 / Accepted: 28 July 2020 / Published: 30 July 2020
(This article belongs to the Special Issue Feature Issue on the Development of Novel Cutting Edge Protocols)
Stable isotopic tracer analysis is a technique used to determine carbon or nitrogen atom incorporation into biological systems. A number of mass spectrometry based approaches have been developed for this purpose, including high-resolution tandem mass spectrometry (HR-LC-MS/MS), selected reaction monitoring (SRM) and parallel reaction monitoring (PRM). We have developed an approach for analyzing untargeted metabolomic and lipidomic datasets using high-resolution mass spectrometry with polarity switching and implemented our approach in the open-source R script IsoSearch and in Scaffold Elements software. Using our strategy, which requires an unlabeled reference dataset and isotope labeled datasets across various biological conditions, we traced metabolic isotopomer alterations in breast cancer cells (MCF-7) treated with the metabolic drugs 2-deoxy-glucose, 6-aminonicotinamide, compound 968, and rapamycin. Metabolites and lipids were first identified by the commercial software Scaffold Elements and LipidSearch, then IsoSearch successfully profiled the 13C-isotopomers extracted metabolites and lipids from 13C-glucose labeled MCF-7 cells. The results interpreted known models, such as glycolysis and pentose phosphate pathway inhibition, but also helped to discover new metabolic/lipid flux patterns, including a reactive oxygen species (ROS) defense mechanism induced by 6AN and triglyceride accumulation in rapamycin treated cells. The results suggest the IsoSearch/Scaffold Elements platform is effective for studying metabolic tracer analysis in diseases, drug metabolism, and metabolic engineering for both polar metabolites and non-polar lipids. View Full-Text
Keywords: stable isotope labeling; flux; isotopic tracer analysis; polarity switching; high resolution; liquid chromatography; mass spectrometry; 13C; 15N; glucose; glutamine; cancer; metabolism; metabolomics; lipidomics; cell culture; LC-MS/MS stable isotope labeling; flux; isotopic tracer analysis; polarity switching; high resolution; liquid chromatography; mass spectrometry; 13C; 15N; glucose; glutamine; cancer; metabolism; metabolomics; lipidomics; cell culture; LC-MS/MS
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    Doi: 10.5281/zenodo.3908617
    Description: Full data results file for metabolite and lipid identifications and their associated IsoSearch isotopomers across drug treatment conditions from human MCF-7 breast cancer cells; The Supplemental Information file contains all supplemental figures cited in the manuscript as well as the ROS detection assay and the triple SILAC multi-omics analyses methodology and data.
MDPI and ACS Style

Huang, H.; Yuan, M.; Seitzer, P.; Ludwigsen, S.; Asara, J.M. IsoSearch: An Untargeted and Unbiased Metabolite and Lipid Isotopomer Tracing Strategy from HR-LC-MS/MS Datasets. Methods Protoc. 2020, 3, 54. https://doi.org/10.3390/mps3030054

AMA Style

Huang H, Yuan M, Seitzer P, Ludwigsen S, Asara JM. IsoSearch: An Untargeted and Unbiased Metabolite and Lipid Isotopomer Tracing Strategy from HR-LC-MS/MS Datasets. Methods and Protocols. 2020; 3(3):54. https://doi.org/10.3390/mps3030054

Chicago/Turabian Style

Huang, He; Yuan, Min; Seitzer, Phillip; Ludwigsen, Susan; Asara, John M. 2020. "IsoSearch: An Untargeted and Unbiased Metabolite and Lipid Isotopomer Tracing Strategy from HR-LC-MS/MS Datasets" Methods Protoc. 3, no. 3: 54. https://doi.org/10.3390/mps3030054

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