Mitochondrial Metabolomics of Sym1-Depleted Yeast Cells Revealed Them to Be Lysine Auxotroph.
Simon LagiesDaqiang PanDaniel A MohlDietmar A PlattnerIan E GentleBernd KammererPublished in: Cells (2023)
Metabolomics has expanded from cellular to subcellular level to elucidate subcellular compartmentalization. By applying isolated mitochondria to metabolome analysis, the hallmark of mitochondrial metabolites has been unraveled, showing compartment-specific distribution and regulation of metabolites. This method was employed in this work to study a mitochondrial inner membrane protein Sym1, whose human ortholog MPV17 is related to mitochondria DNA depletion syndrome. Gas chromatography-mass spectrometry-based metabolic profiling was combined with targeted liquid chromatography-mass spectrometry analysis to cover more metabolites. Furthermore, we applied a workflow employing ultra-high performance liquid chromatography-quadrupole time of flight mass spectrometry with a powerful chemometrics platform, focusing on only significantly changed metabolites. This workflow highly reduced the complexity of acquired data without losing metabolites of interest. Consequently, forty-one novel metabolites were identified in addition to the combined method, of which two metabolites, 4-guanidinobutanal and 4-guanidinobutanoate, were identified for the first time in Saccharomyces cerevisiae . With compartment-specific metabolomics, we identified sym1 Δ cells as lysine auxotroph. The highly reduced carbamoyl-aspartate and orotic acid indicate a potential role of the mitochondrial inner membrane protein Sym1 in pyrimidine metabolism.
Keyphrases
- mass spectrometry
- liquid chromatography
- ms ms
- tandem mass spectrometry
- ultra high performance liquid chromatography
- high resolution mass spectrometry
- gas chromatography
- oxidative stress
- saccharomyces cerevisiae
- gas chromatography mass spectrometry
- induced apoptosis
- high performance liquid chromatography
- simultaneous determination
- solid phase extraction
- electronic health record
- endothelial cells
- cell cycle arrest
- cell death
- machine learning
- single cell
- circulating tumor
- case report
- drug delivery
- amino acid
- endoplasmic reticulum stress