| DOI | Trouver le DOI : https://doi.org/10.2217/bmm.09.22 |
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| Auteur | Rechercher : Gowda, G. A. Nagana1; Rechercher : Ijare, Omkar B.2; Rechercher : Shanaiah, Narasimhamurthy2; Rechercher : Bezabeh, Tedros2 |
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| Affiliation | - Conseil national de recherches du Canada. Programme d'aide à la recherche industrielle
- Conseil national de recherches du Canada. Institut du biodiagnostic du CNRC
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| Format | Texte, Article |
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| Sujet | cancer; cholangiocarcinoma; colon cancer; gallbladder cancer; gastric cancer; gastrointestinal; hepatobiliary diseases; hepatocellular carcinoma; mass spectrometry; metabolic profiling; metabolomics; multivariate statistical analysis; NMR spectroscopy; pancreatic cancer |
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| Résumé | Metabolic profiling of biological specimens is emerging as a promising approach for discovering specific biomarkers in the diagnosis of a number of diseases. Amongst many analytical techniques, nuclear magnetic resonance spectroscopy and mass spectrometry are the most information-rich tools that enable high-throughput and global analysis of hundreds of metabolites in a single step. Although only one of the two techniques is utilized in a majority of metabolomics applications, there is a growing interest in combining the data from the two methods to effectively unravel the mammoth complexity of biological samples. In this article, current developments in nuclear magnetic resonance, mass spectrometry and multivariate statistical analysis methods are described. While some general applications that utilize the combination of the two analytical methods are presented briefly, the emphasis is laid on the recent applications of nuclear magnetic resonance and mass spectrometry methods in the studies of hepatopancreatobiliary and gastrointestinal malignancies. |
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| Date de publication | 2009-09-22 |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro NPARC | 19939767 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | d4e7e2e6-c101-4c4a-a019-e804fa1837f5 |
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| Enregistrement créé | 2012-05-10 |
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| Enregistrement modifié | 2020-04-16 |
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