Dataset Information

Hit-and-run epigenetic editing prevents senescence entry in primary breast cells from healthy donors [EPIC methylation]

ABSTRACT: Aberrant promoter DNA hypermethylation is a hallmark of cancer; however, whether this is sufficient to drive cellular transformation in the absence of genetic mutations is not clear. To investigate this question, we use a CRISPR/dCas9 based epigenetic editing tool, where an inactive form of Cas9 is fused to DNMT3A and its regulator DNMT3L. Using this system, we show simultaneous de novo DNA methylation of genes commonly methylated in cancer, CDKN2A, RASSF1, HIC1 and PTEN in primary myoepithelial cells isolated from healthy human breast tissue. We find that promoter methylation is maintained in this system, even in the absence of the fusion construct and results in sustained repression of CDKN2A and RASSF1 transcripts which prevents cells from entering senescence. The phenotype is associated with retuned expression of a subset of genes to levels in early passage cells; however, the outgrowing myoepithelial cells are not immortal but proliferate for 25-30 population doublings before cell cycle arrest. Finally, we show that the key driver of this phenotype is repression of CDKN2A transcript p16, but prolonged proliferation is enhanced by combined hypermethylation and repression of both CDKN2A transcripts p16 and p14. This work demonstrates that hit-and-run epigenetic events can prevent senescence entry, a potential first step in the disease process.

ORGANISM(S): Homo sapiens

PROVIDER: GSE100184 | GEO | 2017/08/07

SECONDARY ACCESSION(S): PRJNA390989

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Molecular distinctions between the stasis and telomere attrition senescence barriers in cultured human mammary epithelial cells Normal human epithelial cells in culture have generally shown a limited proliferative potential of ~10-40 population doublings before encountering a stress-associated senescence barrier (stasis) associated with elevated levels of cyclin-dependent kinase inhibitors p16 and/or p21. We now show that simple changes in media composition can expand the proliferative potential of human mammary epithelial cells (HMEC) initiated as primary cultures to 50-60 population doublings, followed by p16(+), senescence-associated b-galactosidase(+) stasis. We compared the properties of growing and senescent pre-stasis HMEC with growing and senescent post-selection HMEC, i.e., cells grown in a serum-free medium that overcame stasis via silencing of p16 expression and that display senescence associated with telomere dysfunction. Cultured pre-stasis populations contained cells expressing markers associated with luminal and myoepithelial HMEC lineages in vivo, in contrast to the basal-like phenotype of the post-selection HMEC. Gene transcript and protein expression, DNA damage-associated markers, mean TRF length, and genomic stability, differed significantly between HMEC populations at the stasis vs. telomere attrition senescence barriers. Senescent isogenic fibroblasts showed greater similarity to HMEC at stasis than at telomere attrition, although their gene transcript profile was distinct from HMEC at both senescence barriers. These studies support our model of the senescence barriers encountered by cultured HMEC in which the first barrier, stasis, is Rb-mediated and independent of telomere length, while a second barrier (agonescence or crisis) results from telomere attrition leading to telomere dysfunction. Additionally, the ability to maintain long-term growth of genomically stable multi-lineage pre-stasis HMEC populations can greatly enhance experimentation with normal HMEC. 48 samples from Human Mammary Epithelial cells which includes samples from four different individuals at different passage levels which includes prestasis,intermediate,post selection and agonesence stages of cell cycle.

Dataset Information

Hit-and-run epigenetic editing prevents senescence entry in primary breast cells from healthy donors [EPIC methylation]

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets