Systems approach to the pharmacological actions of HDAC inhibitors reveals EP300 activities and convergent mechanisms of regulation in diabetes

Given the skyrocketing costs to develop new drugs, repositioning of approved drugs, such as histone deacetylase (HDAC) inhibitors, may be a promising strategy to develop novel therapies. However, a gap exists in the understanding and advancement of these agents to meaningful translation for which new indications may emerge. To address this, we performed systems-level analyses of 33 independent HDAC inhibitor microarray studies. Based on network analysis, we identified enrichment for pathways implicated in metabolic syndrome and diabetes (insulin receptor signaling, lipid metabolism, immunity and trafficking). Integration with ENCODE ChIP-seq datasets identified suppression of EP300 target genes implicated in diabetes. Experimental validation indicates reversal of diabetes-associated EP300 target genes in primary vascular endothelial cells derived from a diabetic individual following inhibition of HDACs (by SAHA), EP300, or EP300 knockdown. Our computational systems biology approach provides an adaptable framework for the prediction of novel therapeutics for existing disease.     

A pipeline for the identification and characterization of chromatin modifications derived from ChIP-Seq datasets

The advent of massive parallel sequencing of immunopurified chromatin and its determinants has provided new avenues for researchers to map epigenome-wide changes and there is tremendous interest to uncover regulatory signatures to understand fundamental questions associated with chromatin structure and function. Indeed, the rapid development of large genome annotation projects has seen a resurgence in chromatin immunoprecipitation (ChIP) based protocols which are used to distinguish protein interactions coupled with large scale sequencing (Seq) to precisely map epigenome-wide interactions. Despite some of the great advances in our understanding of chromatin modifying complexes and their determinants, the development of ChIP-Seq technologies also pose specific demands on the integration of data for visualization, manipulation and analysis. In this article we discuss some of the considerations for experimental design planning, quality control, and bioinformatic analysis. The key aspects of post sequencing analysis are the identification of regions of interest, differentiation between biological conditions and the characterization of sequence differences for chromatin modifications. We provide an overview of best-practise approaches with background information and considerations of integrative analysis from ChIP-Seq experiments.     

Synthesis,characterization, and in vitro evaluation of the selective P2Y<Subscript>2</Subscript> receptor antagonist AR-C118925

The G_q protein-coupled, ATP- and UTP-activated P2Y₂ receptor is a potential drug target for a range of different disorders, including tumor metastasis, inflammation, atherosclerosis, kidney disorders, and osteoporosis, but pharmacological studies are impeded by the limited availability of suitable antagonists. One of the most potent and selective antagonists is the thiouracil derivative AR-C118925. However, this compound was until recently not commercially available and little is known about its properties. We therefore developed an improved procedure for the synthesis of AR-C118925 and two derivatives to allow up-scaling and assessed their potency in calcium mobilization assays on the human and rat P2Y₂ receptors recombinantly expressed in 1321N1 astrocytoma cells. The compound was further evaluated for inhibition of P2Y₂ receptor-induced β-arrestin translocation. AR-C118925 behaved as a competitive antagonist with pA ₂ values of 37.2 nM (calcium assay) and 51.3 nM (β-arrestin assay). Selectivity was assessed vs. related receptors including P2X, P2Y, and adenosine receptor subtypes, as well as ectonucleotidases. AR-C118925 showed at least 50-fold selectivity against the other investigated targets, except for the P2X1 and P2X3 receptors which were blocked by AR-C118925 at concentrations of about 1 μM. AR-C118925 is soluble in buffer at pH 7.4 (124 μM) and was found to be metabolically highly stable in human and mouse liver microsomes. In Caco2 cell experiments, the compound displayed moderate permeability indicating that it may show limited peroral bioavailability. AR-C118925 appears to be a useful pharmacological tool for in vitro and in vivo studies.     

Improving understanding of chromatin regulatory proteins and potential implications for drug discovery

Many epigenetic-based therapeutics, including drugs such as histone deacetylase inhibitors, are now used in the clinic or are undergoing advanced clinical trials. The study of chromatin-modifying proteins has benefited from the rapid advances in high-throughput sequencing methods, the organized efforts of major consortiums and by individual groups to profile human epigenomes in diverse tissues and cell types. However, while such initiatives have carefully characterized healthy human tissue, disease epigenomes and drug–epigenome interactions remain very poorly understood. Reviewed here is how high-throughput sequencing improves our understanding of chromatin regulator proteins and the potential implications for the study of human disease and drug development and discovery.     

MeCP2 interacts with chromosomal microRNAs in brain

Although methyl CpG binding domain protein-2 (MeCP2) is commonly understood to function as a silencing factor at methylated DNA sequences, recent studies also show that MeCP2 can bind unmethylated sequences and coordinate gene activation. MeCP2 displays broad binding patterns throughout the genome, with high expression levels similar to histone H1 in neurons. Despite its significant presence in the brain, only subtle gene expression changes occur in the absence of MeCP2. This may reflect a more complex regulatory mechanism of MeCP2 to complement chromatin binding. Using an RNA immunoprecipitation of native chromatin technique, we identify MeCP2 interacting microRNAs in mouse primary cortical neurons. In addition, comparison with mRNA sequencing data from Mecp2-null mice suggests that differentially expressed genes may indeed be targeted by MeCP2-interacting microRNAs. These findings highlight the MeCP2 interaction with microRNAs that may modulate its binding with chromatin and regulate gene expression.