Zhang et al. [17] establish a fitted regression model for the dynamic transmission error DTE) fluctuations to quantify the relationship between modification amounts and DTE fluctuations by using response surface method.
Finally, we were interested in determining if the relationship between modification and use differed systematically among individuals or sessions (i.e. if there was an interaction between the fixed effect and either random effect).
Overall, results from this study represent the first global view of the functional relationships between modifications of H3K9 and gene expression in human MSC differentiation, and suggested that gene activation and silencing controlled by changes of H3K9Ac and H3K9Me2, respectively, may be crucial to MSC osteogenic differentiation.
To analyze the relationship between histone modifications and gene expression, histone modification profiles surrounding the TSS and gene body were plotted for genes ranked by their expression level (Additional file 1: Figures 1B-E and S3-5).
In order to understand the relationship between histone modifications and NAT genes, we have analysed the distributions of six chromatin modifications (H2Bub, H3K27me3, H3K27me1, H3K4me3, H4K4me2 and H3K36me3) along cis-NAT genes, trans-NAT genes and non-NAT genes.
Based on the developed theory that can provide an exact relationship between the modifications of structural parameters (stiffness and mass) and the associated modal parameters, an efficient iterative computational procedure is proposed for determining the modified eigenvalues and the corresponding eigenvectors for complex structural systems.
In this review we will focus on the current understanding of the relationship between selected modifications in the A-ring of the 1α,25(OH)2D3 molecule, such as epimerization and/or substitution at C-1 and C-3, substitution at C-2, and removal of the 10,19-exocyclic 10,19-exocyclic, and their effect on biological potency and selectivity.
In contrast, at earlier stages the relationship between histone modifications and gene expression levels is less clear cut.
Furthermore, given that cell-type specific exon-intron marking also exists (Supplementary Figure S8), the relationship between histone modifications and splicing may also have cell-type specific components.
To our knowledge, these epigenetic and transcriptional profiles constitute the first tiling microarray data set exploring the relationship between epigenetic modifications and RNA expression in both protein coding and non-coding regions across a chromosomal locus in the mammalian brain.
