SummaryWe previously reported a genetic analysis of heart failure traits in a population of inbred mouse strains treated with isoproterenol to mimic catecholamine-driven cardiac hypertrophy. Here, we apply a co-expression network algorithm, wMICA, to perform a systems-level analysis of left ventricular transcriptomes from these mice. We describe the features of the overall network but focus on a module identified in treated hearts that is strongly related to cardiac hypertrophy and pathological remodeling. Using the causal modeling algorithm NEO, we identified the gene Adamts2 as a putative regulator of this module and validated the predictive value of NEO using small interfering RNA-mediated knockdown in neonatal rat ventricular myocytes. ...
Several mouse models have already proved valuable for investigating hypertrophic responses to cardia...
Rationale: With a prevalence of 1 in 200 individuals, hypertrophic cardiomyopathy (HCM) is thought t...
We describe a simple bioinformatics method for biomarker discovery that is based on the analysis of ...
We previously reported a genetic analysis of heart failure traits in a population of inbred mouse st...
SummaryWe previously reported a genetic analysis of heart failure traits in a population of inbred m...
Heart failure (HF) accounts for 1 in 9 deaths in the United States and is the leading cause of hospi...
We aimed to understand the genetic control of cardiac remodeling using an isoproterenol-induced hear...
A traditional approach to investigate the genetic basis of complex diseases is to identify genes wit...
Heart failure (HF) is the leading cause of death worldwide. It is a complex disease involving multip...
Heart failure is a leading cause of mortality, yet our understanding of the genetic interactions und...
The genetics of heart failure is complex. In familial cases of cardiomyopathy, where mutations of la...
Genetic factors are known to modulate cardiac susceptibility to ventricular hypertrophy and failure....
AbstractCardiac hypertrophy is an important risk factor for cardiac morbidity and mortality. To unra...
Treatment of hypertension-mediated cardiac damage with left ventricular (LV) hypertrophy (LVH) and h...
Several mouse models have already proved valuable for investigating hypertrophic responses to cardia...
Several mouse models have already proved valuable for investigating hypertrophic responses to cardia...
Rationale: With a prevalence of 1 in 200 individuals, hypertrophic cardiomyopathy (HCM) is thought t...
We describe a simple bioinformatics method for biomarker discovery that is based on the analysis of ...
We previously reported a genetic analysis of heart failure traits in a population of inbred mouse st...
SummaryWe previously reported a genetic analysis of heart failure traits in a population of inbred m...
Heart failure (HF) accounts for 1 in 9 deaths in the United States and is the leading cause of hospi...
We aimed to understand the genetic control of cardiac remodeling using an isoproterenol-induced hear...
A traditional approach to investigate the genetic basis of complex diseases is to identify genes wit...
Heart failure (HF) is the leading cause of death worldwide. It is a complex disease involving multip...
Heart failure is a leading cause of mortality, yet our understanding of the genetic interactions und...
The genetics of heart failure is complex. In familial cases of cardiomyopathy, where mutations of la...
Genetic factors are known to modulate cardiac susceptibility to ventricular hypertrophy and failure....
AbstractCardiac hypertrophy is an important risk factor for cardiac morbidity and mortality. To unra...
Treatment of hypertension-mediated cardiac damage with left ventricular (LV) hypertrophy (LVH) and h...
Several mouse models have already proved valuable for investigating hypertrophic responses to cardia...
Several mouse models have already proved valuable for investigating hypertrophic responses to cardia...
Rationale: With a prevalence of 1 in 200 individuals, hypertrophic cardiomyopathy (HCM) is thought t...
We describe a simple bioinformatics method for biomarker discovery that is based on the analysis of ...