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Isotope Ratio Outlier Analysis (IROA) for HPLC–TOFMS-Based Metabolomics of Human Urine
Fadil, Fadi
, Samol, Claudia, Berger, Raffaela S.
, Kellermeier, Fabian, Gronwald, Wolfram
, Oefner, Peter J.
und Dettmer, Katja
(2022)
Isotope Ratio Outlier Analysis (IROA) for HPLC–TOFMS-Based Metabolomics of Human Urine.
Metabolites 12 (8), S. 741.
Veröffentlichungsdatum dieses Volltextes: 28 Sep 2022 12:32
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.52972
Zusammenfassung
Metabolic fingerprinting by mass spectrometry aims at the comprehensive, semiquantitative analysis of metabolites. Isotope dilution, if successfully implemented, may provide a more reliable, relative quantification. Therefore, the C-13 labeled yeast extract of the IROA TruQuant kit was added as an internal standard (IS) to human urine samples measured in full-scan mode on a high-performance ...
Metabolic fingerprinting by mass spectrometry aims at the comprehensive, semiquantitative analysis of metabolites. Isotope dilution, if successfully implemented, may provide a more reliable, relative quantification. Therefore, the C-13 labeled yeast extract of the IROA TruQuant kit was added as an internal standard (IS) to human urine samples measured in full-scan mode on a high-performance liquid chromatography-time-of-flight mass spectrometer (HPLC-TOFMS) system. The isotope ratio approach enabled the analysis of 112 metabolites. The correlation with reference data did not improve significantly using C-12/C-13 ratios compared to absolute C-12 peak areas. Moreover, using an intricate C-13-labeled standard increased the complexity of the mass spectra, which made correct signal annotation more challenging. On the positive side, the ratio approach helps to reduce batch effects, but it does not perform better than computational methods such as the "removebatcheffect" function in the R package Limma.
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Fadil, Fadi
, Samol, Claudia, Berger, Raffaela S.
, Kellermeier, Fabian, Gronwald, Wolfram
, Oefner, Peter J.
und Dettmer, Katja
(2022)
Isotope Ratio Outlier Analysis (IROA) for HPLC–TOFMS-Based Metabolomics of Human Urine.
Metabolites 12 (8), S. 741.
[Gegenwärtig angezeigt]-
Fadil, Fadi
, Samol, Claudia, Berger, Raffaela S.
, Kellermeier, Fabian, Gronwald, Wolfram
, Oefner, Peter J.
und Dettmer, Katja
(2023)
Data archive of "Isotope Ratio Outlier Analysis (IROA) for HPLC–TOFMS-Based Metabolomics of Human Urine".
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Details
| Dokumentenart | Artikel | ||||
| Titel eines Journals oder einer Zeitschrift | Metabolites | ||||
| Verlag: | MDPI | ||||
|---|---|---|---|---|---|
| Ort der Veröffentlichung: | BASEL | ||||
| Band: | 12 | ||||
| Nummer des Zeitschriftenheftes oder des Kapitels: | 8 | ||||
| Seitenbereich: | S. 741 | ||||
| Datum | 12 August 2022 | ||||
| Institutionen | Medizin > Institut für Funktionelle Genomik > Lehrstuhl für Funktionelle Genomik (Prof. Oefner) | ||||
| Identifikationsnummer |
| ||||
| Stichwörter / Keywords | MASS-SPECTROMETRY; QUANTIFICATION; DILUTION; NORMALIZATION; METABOLITES; ANNOTATION; ABSOLUTE; metabolomics; metabolic fingerprinting; stable isotope; HPLC; mass spectrometry; labeled yeast extract; IROA; relative quantification | ||||
| Dewey-Dezimal-Klassifikation | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin | ||||
| Status | Veröffentlicht | ||||
| Begutachtet | Ja, diese Version wurde begutachtet | ||||
| An der Universität Regensburg entstanden | Ja | ||||
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-529722 | ||||
| Dokumenten-ID | 52972 |
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