Raja, Ganesan Jung, Youngmi Jung, Sang Hoon Kim, Tae-Jin 2024-01-19T16:02:25Z 2024-01-19T16:02:25Z 2021-09-02 2020-12 1359-5113 https://pubs.kist.re.kr/handle/201004/117769 Nuclear magnetic resonance (NMR) spectroscopy acts as the best tool that can be used in tissue engineering scaffolds to investigate unknown metabolites. Moreover, metabolomics is a systems approach for examining in vivo and in vitro metabolic profiles, which promises to provide data on cancer metabolic alterations. However, metabolomic profiling allows for the activity of small molecules and metabolic alterations to be measured. Furthermore, metabolic profiling also provides high-spectral resolution, which can then be linked to potential metabolic relationships. An altered metabolism is a hallmark of cancer that can control many malignant properties to drive tumorigenesis. Metabolite targeting and metabolic engineering contribute to carcinogenesis by proliferation, and metabolic differentiation. The resulting the metabolic differences are examined with traditional chemometric methods such as principal component analysis (PCA), and partial least squares-discriminate analysis (PLS-DA). In this review, we examine NMR-based activity metabolomic platforms that can be used to analyze various fluxomics and for multivariant statistical analysis in cancer. We also aim to provide the reader with a basic understanding of NMR spectroscopy, cancer metabolomics, target profiling, chemometrics, and multifunctional tools for metabolomics discrimination, with a focus on metabolic phenotypic diversity for cancer therapeutics. English ELSEVIER SCI LTD PLANT-CELL CULTURES PATTERN-RECOGNITION SPECTROSCOPIC DATA DATA NORMALIZATION TECHNIQUES LESSONS BLADDER-CANCER NMR-SPECTRA IDENTIFICATION C-13 H-1 H-1-NMR-based metabolomics for cancer targeting and metabolic engineering -A review Article 10.1016/j.procbio.2020.08.023 1 PROCESS BIOCHEMISTRY, v.99, pp.112 - 122 PROCESS BIOCHEMISTRY 99 112 122 scie scopus 000596423400003 2-s2.0-85090333351 Biochemistry & Molecular Biology Biotechnology & Applied Microbiology Engineering, Chemical Biochemistry & Molecular Biology Biotechnology & Applied Microbiology Engineering Review PLANT-CELL CULTURES PATTERN-RECOGNITION SPECTROSCOPIC DATA DATA NORMALIZATION TECHNIQUES LESSONS BLADDER-CANCER NMR-SPECTRA IDENTIFICATION C-13 H-1 Cancer Metabolomics Metabolic engineering Target profiling Software Therapeutics