Tracing of Amino Acids Dynamics in Cell Lines Based on <sup>18</sup>O Stable Isotope Labeling

Metabolite levels and turnover rates are necessary to understand metabolomic dynamics in a living organism fully. Amino acids can play distinct roles in various cellular processes, and their abnormal levels are associated with pathological conditions, including cancer. Therefore, their levels, especially turnover rates, may provide enormous information about a phenotype. <sup>13</sup>C- or <sup>13</sup>C,<sup>15</sup>N-labeled amino acids have also been commonly used to trace amino acid metabolism. This study presented a new methodology based on <sup>18</sup>O labeling for amino acids that relied on monitoring mass isotopologues to calculate the turnover rates of amino acids. The method optimization studies were carried over for selective amino acid monitoring. This methodology provides a rapid, robust, and simple GC-MS method for analyzing the fluxes of amino acid metabolism. The developed method was applied to fetal human colon (FHC) and human colon carcinoma (Caco-2) cell lines to determine cancer-induced shifts in the turnover rates of amino acids. These results defined metabolic reprogramming in Caco-2 cells through increased glutamate and serine turnovers and sharply decreased turnovers of aspartate, threonine, and methionine, therefore pointing to some metabolic vulnerabilities in the metabolism of cancerous cells. The simple mechanism of the developed methodology, the availability of affordable <sup>18</sup>O-enriched water, and the ease of application can open a new arena in fluxomics analysis.

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Publication Details

Journal
Analytical Chemistry
Published
2025-01-23
DOI
https://doi.org/10.1021/acs.analchem.4c05015
Citations
6
Primary Topic
Cancer, Hypoxia, and Metabolism
Type
article
Field-Weighted Citation Impact
5.62
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article

Tracing of Amino Acids Dynamics in Cell Lines Based on 18O Stable Isotope Labeling

Samiye Yabanoğlu Çiftçi, Emirhan Nemutlu, İpek Baysal, Cemil Can Eylem
6 citations
Analytical Chemistry
Cancer, Hypoxia, and Metabolism
5.62
article

Tracing of Amino Acids Dynamics in Cell Lines Based on 18O Stable Isotope Labeling

Samiye Yabanoğlu Çiftçi, Emirhan Nemutlu, İpek Baysal, Cemil Can Eylem
article en
6 citations

Abstract

Metabolite levels and turnover rates are necessary to understand metabolomic dynamics in a living organism fully. Amino acids can play distinct roles in various cellular processes, and their abnormal levels are associated with pathological conditions, including cancer. Therefore, their levels, especially turnover rates, may provide enormous information about a phenotype. <sup>13</sup>C- or <sup>13</sup>C,<sup>15</sup>N-labeled amino acids have also been commonly used to trace amino acid metabolism. This study presented a new methodology based on <sup>18</sup>O labeling for amino acids that relied on monitoring mass isotopologues to calculate the turnover rates of amino acids. The method optimization studies were carried over for selective amino acid monitoring. This methodology provides a rapid, robust, and simple GC-MS method for analyzing the fluxes of amino acid metabolism. The developed method was applied to fetal human colon (FHC) and human colon carcinoma (Caco-2) cell lines to determine cancer-induced shifts in the turnover rates of amino acids. These results defined metabolic reprogramming in Caco-2 cells through increased glutamate and serine turnovers and sharply decreased turnovers of aspartate, threonine, and methionine, therefore pointing to some metabolic vulnerabilities in the metabolism of cancerous cells. The simple mechanism of the developed methodology, the availability of affordable <sup>18</sup>O-enriched water, and the ease of application can open a new arena in fluxomics analysis.

Analytical ChemistryVol. 97(4)
Czech Academy of Sciences, Institute of Analytical Chemistry (CZ), Hacettepe University (TR)
Zero hunger
Openalex Percentile: Top 4%
Cancer, Hypoxia, and Metabolism
5.62
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