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. 2023 Sep 15;4(3):102400.
doi: 10.1016/j.xpro.2023.102400. Epub 2023 Aug 16.

Analysis of polar primary metabolites in biological samples using targeted metabolomics and LC-MS

Affiliations

Analysis of polar primary metabolites in biological samples using targeted metabolomics and LC-MS

Evgenia Turtoi et al. STAR Protoc. .

Abstract

Primary metabolites are molecules of essential biochemical reactions that define the biological phenotype. All primary metabolites cannot be measured in a single analysis. In this protocol, we outline the multiplexed and quantitative measurement of 106 metabolites that cover the central part of primary metabolism. The protocol includes several sample preparation techniques and one liquid chromatography-mass spectrometry method. Then, we describe the steps of the bioinformatic data analysis to better understand the metabolic perturbations that may occur in a biological system. For complete details on the use and execution of this protocol, please refer to: Costanza et al.,1 Blomme et al.,2 Blomme et al.,3 Guillon et al.,4 Stuani et al.5.

Keywords: Mass Spectrometry; Metabolomics.

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Conflict of interest statement

Declaration of interests J.J. is employed by Agilent France, the vendor of the LC-MS instrumentation used in the present protocol.

Figures

None
Graphical abstract
Figure 1
Figure 1
Workflow of the general metabolite sample preparation and analysis
Figure 2
Figure 2
Example of the measurement of isoleucine and leucine
Figure 3
Figure 3
Example of two adjacent peaks that require further confirmation using QC and spike-in to determine which peak corresponds the studied molecule
Figure 4
Figure 4
In rare events, the largest peak may not represent the studied molecule, as shown here for citrulline
Figure 5
Figure 5
Example of data analysis using the MetaboAnalystR package and the MetaboR script The figure shows the metabolite quantification data for HT29 cancer cells after incubation or not with 10 μM metformin. (A) PLS plot outlining control (HT29_Ctrl) and metformin-treated cells (HT29_Met). (B) Volcano plot showing metabolites with at least 2-fold changes in concentration between conditions (HT29_Ctrl and HT29_Met). (C and D) (C) Heatmap and (D) Correlation matrix of all compounds in the dataset.
Figure 6
Figure 6
Absolute quantification for tryptophan in the low μM range. (A) tryptophan calibration curve consisting of quadruplicate measurements of diluted standard. Solid black points indicate values retained for the construction of the curve, while empty circles are excluded values. (B) tryptophan quantification in HT29 cell extracts. Error bars indicate standard deviation of means from N=5 and N=6 biological replicates in HT29 Ctrl and HT29 Met conditions, respectively. The raw data and calibration curves/evaluations for 4-aminobutyric acid and glutamine are in the Supplemental section, Table S6.

References

    1. Costanza B., Turtoi A., Bellahcène A., Hirano T., Peulen O., Blomme A., Hennequière V., Mutijima E., Boniver J., Meuwis M.A., et al. Innovative methodology for the identification of soluble biomarkers in fresh tissues. Oncotarget. 2018;9:10665–10680. doi: 10.18632/oncotarget.24366. - DOI - PMC - PubMed
    1. Blomme A., Van Simaeys G., Doumont G., Costanza B., Bellier J., Otaka Y., Sherer F., Lovinfosse P., Boutry S., Palacios A.P., et al. Murine stroma adopts a human-like metabolic phenotype in the PDX model of colorectal cancer and liver metastases. Oncogene. 2018;37:1237–1250. doi: 10.1038/s41388-017-0018-x. - DOI - PubMed
    1. Blomme A., Costanza B., de Tullio P., Thiry M., Van Simaeys G., Boutry S., Doumont G., Di Valentin E., Hirano T., Yokobori T., et al. Myoferlin regulates cellular lipid metabolism and promotes metastases in triple-negative breast cancer. Oncogene. 2017;36:2116–2130. doi: 10.1038/onc.2016.369. - DOI - PubMed
    1. Guillon A., Brea-Diakite D., Cezard A., Wacquiez A., Baranek T., Bourgeais J., Picou F., Vasseur V., Meyer L., Chevalier C., et al. Host succinate inhibits influenza virus infection through succinylation and nuclear retention of the viral nucleoprotein. EMBO J. 2022;41:e108306. doi: 10.15252/embj.2021108306. - DOI - PMC - PubMed
    1. Stuani L., Sabatier M., Saland E., Cognet G., Poupin N., Bosc C., Castelli F.A., Gales L., Turtoi E., Montersino C., et al. Mitochondrial metabolism supports resistance to IDH mutant inhibitors in acute myeloid leukemia. J. Exp. Med. 2021;218:e20200924. doi: 10.1084/jem.20200924. - DOI - PMC - PubMed

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