ArticleMagnetic resonance in medicine2019
A metabolic database for biomedical studies of biopsy specimens by high-resolution magic angle spinning nuclear MR: a qualitative and quantitative tool.
Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
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- Article
- Ex-VivoJournal of proteome research · 2024Article
- Metabolomic analysis of endometrial cancer by high-resolution magic angle spinning NMR spectroscopy.Archives of gynecology and obstetrics · 2022Article
- Panton-Valentine Leucocidin of Staphylococcus aureus Induces Oxidative Stress and Neurotransmitter Imbalance in a Retinal Explant Model.Investigative ophthalmology & visual science · 2021Article
- Nuclear Magnetic Resonance Spectroscopy in Clinical Metabolomics and Personalized Medicine: Current Challenges and Perspectives.Frontiers in molecular biosciences · 2021Review
- Machine learning assisted intraoperative assessment of brain tumor margins using HRMAS NMR spectroscopy.PLoS computational biology · 2020Article
- Metabolomics of Small Intestine Neuroendocrine Tumors and Related Hepatic Metastases.Metabolites · 2019Article
- A metabolic database for biomedical studies of biopsy specimens by high-resolution magic angle spinning nuclear MR: a qualitative and quantitative tool.Magnetic resonance in medicine · 2019Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study is to generate a metabolic database for biomedical studies of biopsy specimens by high-resolution magic angle spinning (HRMAS) nuclear MR (NMR).
methodsSeventy-six metabolites, classically found in human biopsy samples, were prepared in aqueous solution at a known concentration and analyzed by HRMAS NMR. The spectra were recorded under the same conditions as the ones used for the analysis of biopsy specimens routinely performed in our hospital.
resultsFor each metabolite, a complete set of NMR spectra (1D
conclusionThis new HRMAS metabolic database is a useful tool for all scientists working on human biopsy specimens, particularly in the field of oncology. It will make the identification of metabolites in biopsy specimens faster and more reliable. Additionally, the knowledge of the T
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