Enhanced standard operating procedures for 31P NMR-based metabolomics in tissue extracts
| dc.contributor.author | Martín Ramos, Sara | |
| dc.contributor.author | Bilbao García, Jon | |
| dc.contributor.author | Diercks, Tammo | |
| dc.contributor.author | Mato, José María | |
| dc.contributor.author | Bernardo Seisdedos, Ganeko | |
| dc.contributor.author | Millet, Óscar | |
| dc.date.accessioned | 2025-10-16T14:51:31Z | |
| dc.date.available | 2025-10-16T14:51:31Z | |
| dc.date.issued | 2025-04-13 | |
| dc.date.updated | 2025-10-16T14:51:31Z | |
| dc.description.abstract | Phosphorylated metabolites, here referred to as phosphometabolites, are sufficiently abundant and widely distributed to provide a condensed representation of metabolism that can be readily accessed through NMR spectroscopy. This study addresses the challenge of precisely quantifying phosphometabolites via quantitative 31P NMR from tissue extracts. We optimized standard operating procedures for enhanced spectral resolution, signal intensity, and accuracy. By amply evaluating solvent and buffer conditions, reference compounds, and paramagnetic relaxation enhancers, we identified optimal conditions for metabolite analysis, including the use of trimethylphosphine oxide for accurate signal referencing due to its short T1 relaxation time and minimal offset and glycine buffer (in D2O) at pD 9.5, where virtually invariant 31P signal frequencies and sample osmolarities are observed, along with maximal NMR detection sensitivity and temperature stability of the pH. These methodological advancements significantly improve the reliability and reproducibility of phosphometabolite characterization, allowing the assignment of up to 60 independent signals in the one-dimensional (1D) 31P spectrum (of a total of 94 peaks), that resulted in the proper quantification of 44 phosphometabolites from different tissular samples. | en |
| dc.description.sponsorship | Support was provided by the Department of Economic Development and Infrastructures of the Government of the Autonomous Community of the Basque Country (Elkartek bg2021, bg2023). O.M. and J.M.M. acknowledge CIBERehd and the Agencia Estatal de Investigación (Spain) for grants, RTI2018-101269−B-I00, PID2021-124171OB-I00, and CEX2021-001136-S and NIH for grant NIH 1R01DK119437-01A1 | en |
| dc.identifier.citation | Martin-Ramos, S., Bilbao, J., Diercks, T., Mato, J. M., Bernardo-Seisdedos, G., & Millet, O. (2025). Enhanced standard operating procedures for 31P NMR-based metabolomics in tissue extracts. JACS Au, 5(5), 2285-2293. https://doi.org/10.1021/JACSAU.5C00234 | |
| dc.identifier.doi | 10.1021/JACSAU.5C00234 | |
| dc.identifier.eissn | 2691-3704 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14454/4003 | |
| dc.language.iso | eng | |
| dc.publisher | American Chemical Society | |
| dc.rights | © 2025 The Authors | |
| dc.subject.other | 31P NMR | |
| dc.subject.other | Gadoteridol | |
| dc.subject.other | Glycine buffer | |
| dc.subject.other | Metabolites | |
| dc.subject.other | Phosphorylated metabolites | |
| dc.subject.other | SOP | |
| dc.subject.other | Tissue analysis | |
| dc.title | Enhanced standard operating procedures for 31P NMR-based metabolomics in tissue extracts | en |
| dc.type | journal article | |
| dcterms.accessRights | open access | |
| oaire.citation.endPage | 2293 | |
| oaire.citation.issue | 5 | |
| oaire.citation.startPage | 2285 | |
| oaire.citation.title | JACS Au | |
| oaire.citation.volume | 5 | |
| oaire.licenseCondition | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| oaire.version | VoR |
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