Modelling and simulation of 13C, 15N, 17O NMR chemical shifts, 17O and 14N electric field gradients and measurement of 13C and 15N chemical shifts in DNA/RNA of human gum cancer cells, tissues and tumors using NMR biospectroscopic profiling for novel systems diagnostics
Alireza Heidari, Ricardo Gobato, Lauro Figueroa Valverde
Abstract
Differences in the cancers (treated and untreated) individuals and uninfected controls were identified with a NMR metabolomics approach. The current study was limited in sample size but provided original insights for modelling and simulation of 13 C, 15 N, 17 O NMR chemical shifts, 17 O and 14 N electric field gradients and measurement of 13 C and 15 N chemical shifts in DNA/RNA of human gum cancer cells, tissues and tumors using NMR biospectroscopic profiling of gum cancer cells, tissues and tumors for novel systems diagnostics. This work has demonstrated the reliability, simplicity, and predictive ability of NMR-based metabolomics in discriminating between the experimental groups studied in our sample.