Dataset Information

Whole genome epigenetic sequencing on DNA from infarcted non-infarcted left ventricle of WT and NEIL3-deficient mice subjected to myocardial infarction

ABSTRACT: Myocardial infarction (MI) triggers a reparative response involving fibroblast proliferation and differentiation driving extracellular matrix modulation necessary to form a stabilizing scar. Recently, it was shown that a genetic variant of the base excision repair enzyme endonuclease VIII-like 3 (NEIL3) was associated with increased risk of MI in humans. Here, we report elevated myocardial NEIL3 expression in heart failure patients and marked myocardial upregulation of Neil3 following MI in mice, especially in a fibroblast-enriched cell fraction. Neil3-/-mice showed increased mortality after MI compared to WT, caused by myocardial rupture. Epigenomic analysis suggested dysregulated myofibroblast proliferation and differentiation in Neil3-/-hearts and several differentially expressed genes were downstream targets of differentially methylated/hydroxymethylated transcriptional regulators. Furthermore, proliferation of Vimentin+ and SMA+ (myo)fibroblasts was increased in Neil3 -/-hearts following MI. We propose that NEIL3-dependent modulation of epigenetic DNA methylation regulates cardiac fibroblast proliferation and thereby controls extracellular matrix modulation after MI.

ORGANISM(S): Mus musculus

PROVIDER: GSE90057 | GEO | 2017/01/01

SECONDARY ACCESSION(S): PRJNA354387

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:To find which genes were significantly modulated by Valsartan in non-infarcted left ventricle, 4 weeks after coronary artery ligation, and to correlate emerging modulated pathways with histology and cardiac magnetic resonance (CMR) imaging. The goal was to validate the estimation of the systolic dysfunction and of the regions preserved by pharmacological treatment performed with a CMR index. Title of the associated submitted paper: Evaluation of left ventricle function by regional fractional area change (RFAC) in a mouse model of myocardial infarction secondary to Valsartan treatment. Abstract: Purpose: Left ventricle (LV) regional fractional area change (RFAC) measured by cardiac magnetic resonance (CMR) allows the non-invasive localization and quantification of the extent of myocardial infarction (MI), and could be applied to assess the effectiveness of pharmacological or regenerative therapies. Here we investigate the ability of RFAC to identify regional dysfunction and discriminate the effect of pharmacological treatment with valsartan, a selective antagonist of angiotensin II type 1 receptor, in a model of MI. Methods: C57BL/6N mice, undergoing coronary artery ligation, were divided into two groups: untreated (MI) or treated with Valsartan (MI+Val). Sham-operated mice were used as a control. Cardiac dimensions and function were assessed at baseline, 24 hours, 1 and 4 weeks post surgery by CMR and echocardiography. At sacrifice histology and whole-genome gene expression profiling were performed. Results: RFAC was able to detect significant differences between treatment groups whereas the global ejection fraction was not. RFAC showed greater loss of contractility in remote non-infarcted myocardium in MI group than in MI+Val group. Consistently, in the same region MI+Val mice showed reduced myocyte hypertrophy, fibroblast proliferation, and fibrosis and modulation of target genes; in addition, left atrium volumes, appendage length and duct contractility were preserved. Conclusion: In this study, RFAC effectively estimated the degree of systolic dysfunction and discriminated the regions preserved by pharmacological treatment. RFAC index is a promising tool to monitor changes in LV contractility and to assess the effectiveness of therapeutic regimens in clinical settings.

Dataset Information

Whole genome epigenetic sequencing on DNA from infarcted non-infarcted left ventricle of WT and NEIL3-deficient mice subjected to myocardial infarction

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets