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DNA methylation regulates discrimination of enhancers from promoters through a H3K4me1-H3K4me3 seesaw mechanism
, Article BMC Genomics ; 2017 , Volume 18, Issue 1 ; 14712164 (ISSN) ; Gerovska, D ; Adachi, K ; Totonchi, M ; Pezeshk, H ; Taft, R. J ; Schöler, H. R ; Chitsaz, H ; Sadeghi, M ; Baharvand, H ; Araúzo Bravo, M. J ; Sharif University of Technology
Abstract
Background: DNA methylation at promoters is largely correlated with inhibition of gene expression. However, the role of DNA methylation at enhancers is not fully understood, although a crosstalk with chromatin marks is expected. Actually, there exist contradictory reports about positive and negative correlations between DNA methylation and H3K4me1, a chromatin hallmark of enhancers. Results: We investigated the relationship between DNA methylation and active chromatin marks through genome-wide correlations, and found anti-correlation between H3K4me1 and H3K4me3 enrichment at low and intermediate DNA methylation loci. We hypothesized "seesaw" dynamics between H3K4me1 and H3K4me3 in the low...
Pan-cancer analysis of microRNA expression profiles highlights microRNAs enriched in normal body cells as effective suppressors of multiple tumor types: A study based on TCGA database
, Article PLoS ONE ; Volume 17, Issue 4 April , 2022 ; 19326203 (ISSN) ; Kamal, A ; Es, H. A ; Farhadi, F ; Ebrahimi, M ; Chitsaz, H ; Sharifi Zarchi, A ; Baharvand, H ; Sharif University of Technology
Public Library of Science
2022
Abstract
Background MicroRNAs (miRNAs) are frequently deregulated in various types of cancer. While antisense oligonucleotides are used to block oncomiRs, delivery of tumour-suppressive miRNAs holds great potential as a potent anti-cancer strategy. Here, we aim to determine, and functionally analyse, miRNAs that are lowly expressed in various types of tumour but abundantly expressed in multiple normal tissues. Methods The miRNA sequencing data of 14 cancer types were downloaded from the TCGA dataset. Significant differences in miRNA expression between tumor and normal samples were calculated using limma package (R programming). An adjusted p value < 0.05 was used to compare normal versus tumor miRNA...