Our previous work also indicated that 18 F-FDG uptake in various tissues is affected by blood glucose level differently [11].
Knowing or predicting the partition coefficients (ratio of concentrations) of compounds between the bloodstream and various tissues is important in order to study the pharmacokinetic profile of drug candidates.
However, an accurate genome-wide quantification of active transcription factors in various tissues is currently not feasible.
Pattern recognition analysis of proton nuclear magnetic resonance (1H-NMR) spectra of various tissues is now widely used for metabolomic studies.
Therefore, the detection and analysis of levels and patterns of genome-wide methylation in various tissues, is essential for understanding associations between tissue-specific methylation and tissue-specific gene expression.
Since different organs have distinct cell types that express different amounts of structural proteins, a particular structural protein, such as β-actin, cannot be used as an internal standard because its relative abundance in various tissues is different.
