Sentence examples for variations in methylation between from inspiring English sources

Variations in methylation between healthy and ailing tissues "might give us a better understanding of what goes wrong" in some diseases, says Alexander Olek of Epigenomics, a biotech start-up in Berlin.

The mean methylation levels (β value) of six of the 14 CpG sites of the GATA3 gene were low (<0.10; Table  3), four were highly methylated (>0.90), while four CpG sites showed wider variation in methylation between individuals with mean methylation between >0.10 and <0.55.

The random effect variance σ2 reflects the variation in methylation between donors and recipients.

Such differences would create a variation in methylation between cells upon subsequent divisions that could drive transcriptional noise.

Furthermore, the region we studied (H19 CTCF6 DMR) has shown minimal variation in methylation between tissues, while IGF2 DMR showed greater variation [ 18].

Data were obtained for multiple tissue samples in 93 glioblastomas; some had marked variation in methylation between separate tissue samples, whereas others showed close agreement.

A parametric comparison of the TK model with an analogous model developed for rat hepatocytes from the literature demonstrated that the biotransformation of arsenite (e.g. GSH conjugation) has a large role in explaining the variation in methylation between rats and humans.

The results clearly show that the variations in methylation status between healthy and periodontitis cases were more significant in genes related to the immune system process, which showed a higher tendency for DNA unmethylation than did the genes of the other two groups.

The highest correlations between variations in methylation and gene expression were seen with a window size of 140 bp, which is close to nucleosome size.

The correlation analysis between variations in mRNA levels and methylation in the immune group exhibited a large region spanning approximately +900 to −1,000, where most windows showed a significant negative correlation between variations in methylation and mRNA levels.

This would increase the likelihood to find correlations between variations in methylation and gene expression, as variations in methylation that cause subtle changes in gene expression could be detected.