| Literature DB >> 36225315 |
Aiendrila Roy1,2, Swati Shree Padhi1, Ibakordor Khyriem1, Saket Nikose3, Harsha Sankar S H1, Ruthrotha Selvi Bharathavikru1.
Abstract
The molecular mechanisms that regulate stem cell pluripotency and differentiation has shown the crucial role that methylation plays in this process. DNA methylation has been shown to be important in the context of developmental pathways, and the role of histone methylation in establishment of the bivalent state of genes is equally important. Recent studies have shed light on the role of RNA methylation changes in stem cell biology. The dynamicity of these methylation changes not only regulates the effective maintenance of pluripotency or differentiation, but also provides an amenable platform for perturbation by cellular stress pathways that are inherent in immune responses such as inflammation or oncogenic programs involving cancer stem cells. We summarize the recent research on the role of methylation dynamics and how it is reset during differentiation and de-differentiation.Entities:
Keywords: RNA methylation; cancer stem cells; chromatin; epigenetics; epitranscriptomic modification; readers
Year: 2022 PMID: 36225315 PMCID: PMC9549938 DOI: 10.3389/fcell.2022.909424
Source DB: PubMed Journal: Front Cell Dev Biol ISSN: 2296-634X
FIGURE 1Methylation dynamics in stem cells; the readers (pink), writers (brown), and erasers (green) are indicated. SAM (S-adenosyl methionine) is the common methyl donor for histone, DNA and RNA methylation. The writers, erasers and readers play important roles in maintaining pluripotency and lineage commitment of stem cells. Their role in physiology and pathophysiology is depicted in the figure.
FIGURE 2Resetting the Epigenome Dynamics in Differentiation and Dedifferentiation. (A) Heat map of Panel I, Transcription Factors (26) expression and Panel II modifiers (11) such as Histone methyltransferase/demethylase, DNMT/demethylase, RNA methyltransferase/demethylase in different cell types- embryonic stem cells (ESCs), neural stem cells (NSCs), cancer stem cells (CSCs), ectoderm (Ec), endoderm (En), mesoderm (Me). The red color indicates a lower expression level, and the green indicates a high expression level. Yellow represents intermediary expression levels. The intensity of the color indicates the expression level. Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/) was used to gather the data for the six types of cells/tissues EMBRYONIC STEM CELLS (Datasets- GSE220881 and GSE775182), NEURAL STEM CELLS (Datasets- GSE380453 and GSE353904), CANCER STEM CELLS (Datasets- GSE433785 and GSE42906), ECTODERM (Datasets- GSE339037 and GSE1442418), ENDODERM (Datasets- GSE1080479, GSE5528310, and GSE2413511), MESODERM (Datasets- GSE18216112 and GSE11477613). Excel software was used to plot the heatmap. The selected data is converted into the heat map using conditional formatting (color scales). (B) A combination of various oncogenic events triggers transition of pluripotent stem cells and differentiated cells to cancer stem cells. Differential methylation at the CpG islands triggers oncogenes and transcription factors leading to emergence of tumor heterogeneity and CSCs. Alterations in global epitranscriptomic profile also regulate the reprogramming or dedifferentiation events. Cytokine and Interleukins acts in paracrine manner leading to cancer inflammation and crafts a niche for emergence of stem like cells by activating downstream signalling pathways. Telomere associated quiescence supports the stem like cellsin the tumor micro environment elevating their self-renewal capacity.