Yeast-based reference materials for quantitative metabolomics

Publons ID(not set)
Wos IDWOS:000706592200001
Doi10.1007/s00216-021-03694-w
TitleYeast-based reference materials for quantitative metabolomics
First Author
Last Author
AuthorsWasito, H; Hermann, G; Fitz, V; Troyer, C; Hann, S; Koellensperger, G;
Publish DateJUN 2022
Journal NameANALYTICAL AND BIOANALYTICAL CHEMISTRY
Citation3
AbstractWe introduce a new concept of yeast-derived biological matrix reference material for metabolomics research relying on in vivo synthesis of a defined biomass, standardized extraction followed by absolute quantification with isotope dilution. The yeast Pichia pastoris was grown using full control- and online monitoring fed-batch fermentations followed by fast cold methanol quenching and boiling ethanol extraction. Dried extracts served for the quantification campaign. A metabolite panel of the evolutionarily conserved primary metabolome (amino acids, nucleotides, organic acids, and metabolites of the central carbon metabolism) was absolutely quantified by isotope dilution utilizing uniformly labeled C-13-yeast-based internal standards. The study involved two independent laboratories employing complementary mass spectrometry platforms, namely hydrophilic interaction liquid chromatography-high resolution mass spectrometry (HILIC-HRMS) and gas chromatography-tandem mass spectrometry (GC-MS/MS). Homogeneity, stability tests (on a panel of >70 metabolites over a period of 6 months), and excellent biological repeatability of independent fermentations over a period of 2 years showed the feasibility of producing biological reference materials on demand. The obtained control ranges proved to be fit for purpose as they were either superior or comparable to the established reference materials in the field.
Publish TypeJournal
Publish Year2022
Page Begin4359
Page End4368
Issn1618-2642
Eissn1618-2650
Urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:000706592200001
AuthorDr.nat.techn Apt HENDRI WASITO, S.Farm, M.Sc.
File124749.pdf