2013
DOI: 10.5012/bkcs.2013.34.5.1467
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Study of Metabolic Profiling Changes in Colorectal Cancer Tissues Using 1D1H HR-MAS NMR Spectroscopy

Abstract: Metabolomics is a field that studies systematic dynamics and secretion of metabolites from cells to understand biological pathways based on metabolite changes. The metabolic profiling of intact human colorectal tissues was performed using high-resolution magic angle spinning (HR-MAS) NMR spectroscopy, which was unnecessary to extract metabolites from tissues. We used two different groups of samples, which were defined as normal and cancer, from 9 patients with colorectal cancer and investigated the samples in … Show more

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Cited by 11 publications
(7 citation statements)
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“…This has considerable clinical potential, especially as the HR-MAS NMR analysis is fast, relatively inexpensive and nondestructive. A similar approach is also being pursued for other types of cancer [33,34,35,36,37]. …”
Section: Resultsmentioning
confidence: 99%
“…This has considerable clinical potential, especially as the HR-MAS NMR analysis is fast, relatively inexpensive and nondestructive. A similar approach is also being pursued for other types of cancer [33,34,35,36,37]. …”
Section: Resultsmentioning
confidence: 99%
“…To extract useful information from complicated NMR data, pattern recognition methods such as multivariate statistical analysis and target profiling The following metabolites were identified using the Chenomx 500 MHz library. 43 identification has been routinely performed for many years in NMR-based metabolomics, it was largely done on compound-selective basis. Additionally, several companies (Agilent Chenomx and Bruker Biospin) have produced commercial products that implement these concepts in convenient, easy-to-use software programs.…”
Section: -29mentioning
confidence: 99%
“…18 samples were classified clearly into two groups. ▲: cancer •: normal 43 products for the anti-bacterial material. However, AgNPs have been reported as toxic to the mammalian cell, lung, liver, brain and other organs.…”
Section: T[1]mentioning
confidence: 99%
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“…Recently, full resolution analysis is preferred in contemporary metabonomics analysis (Agnolet et al, 2010, Kim et al, 2013. However, given the statistical weakness of our data at a resolution of 0.04 ppm bucketing (which usually yields statistically relatively robust results when compared to higher resolution bucketing due to the lower number of variables being considered), it is unlikely that our data would provide further discriminatory information at higher resolutions.…”
Section: Limitations and Future Outlookmentioning
confidence: 96%