Metabolic profiles in heart failure due to non-ischemic cardiomyopathy at rest and under exercise.

Aims: Identification of metabolic signatures in heart failure (HF) patients and evaluation of their diagnostic potential to discriminate HF patients from healthy controls during baseline and exercise conditions.

Methods: Plasma samples were collected from 22 male HF patients with non-ischemic idiopathic cardiomyopathy and left ventricular systolic dysfunction and 19 healthy controls before (t0), at peak (t1) and 1 h after (t2) symptom-limited cardiopulmonary exercise testing. Two hundred fifty-two metabolites were quantified by gas chromatography-mass spectrometry (GC-MS) and liquid chromatography (LC)-MS/MS-based metabolite profiling.

Dabigatran and dabigatran ethyl ester: potent inhibitors of ribosyldihydronicotinamide dehydrogenase (NQO2).

Recent studies have revealed that compounds believed to be highly selective frequently address multiple target proteins. We investigated the protein interaction profile of the widely prescribed thrombin inhibitor dabigatran (1), resulting in the identification and subsequent characterization of an additional target enzyme. Our findings are based on an unbiased functional proteomics approach called capture compound mass spectrometry (CCMS) and were confirmed by independent biological assays.

Proteome-wide identification of staurosporine-binding kinases using capture compound mass spectrometry.

The enormous diversity of kinases and their pivotal role in cell signaling have set kinases in the focus of biomedical research. Profiling the kinome of tissues of different origin is essential for biomarker discovery. In drug research, it is necessary to comprehend the specificity profile of a given kinase inhibitor.

Improvement of capture compound mass spectrometry technology (CCMS) for the profiling of human kinases by combination with 2D LC-MS/MS.

An increasingly popular and promising field in functional proteomics is the isolation of proteome subsets based on small molecule-protein interactions. One platform approach in this field are Capture Compounds that contain a small molecule of interest to bind target proteins, a photo-activatable reactivity function to covalently trap bound proteins, and a sorting function to isolate captured protein conjugates from complex biological samples for direct protein identification by liquid chromatography/mass spectrometry (nLC-MS/MS). In this study we used staurosporine as a selectivity group for analysis in HepG2 cells derived from human liver.

Probing small molecule-protein interactions: A new perspective for functional proteomics.

The isolation of proteome subsets on the basis of the interactions of small molecules with proteins is an emerging paradigm in proteomics. Depending on the nature of the small molecule used as a bait, entire protein families can be monitored in biological samples, or new functions can be attributed to previously uncharacterized proteins. With pharmaceutical compounds as baits, drug targets and toxicity-relevant off-targets can be discovered in an unbiased proteomic screen.

Dasatinib, imatinib and staurosporine capture compounds - Complementary tools for the profiling of kinases by Capture Compound Mass Spectrometry (CCMS).

Capture Compound Mass Spectrometry (CCMS) is a platform technology for the functional isolation of subproteomes. Here we report the synthesis of two new kinase Capture Compounds (CCs) based on the tyrosine-kinase specific inhibitors dasatinib and imatinib and compare their interaction profiles to that of our previously reported staurosporine-CCs. CCs are tri-functional molecules: they comprise a sorting function (e.

The cardiac transcription network modulated by Gata4, Mef2a, Nkx2.5, Srf, histone modifications, and microRNAs.

The transcriptome, as the pool of all transcribed elements in a given cell, is regulated by the interaction between different molecular levels, involving epigenetic, transcriptional, and post-transcriptional mechanisms. However, many previous studies investigated each of these levels individually, and little is known about their interdependency. We present a systems biology study integrating mRNA profiles with DNA-binding events of key cardiac transcription factors (Gata4, Mef2a, Nkx2.

Comprehensive identification of staurosporine-binding kinases in the hepatocyte cell line HepG2 using Capture Compound Mass Spectrometry (CCMS).

The central role of kinases in cell signaling has set them in the focus of biomedical research. In functional proteomics analyses, large- scale profiling of kinases has become feasible through the use of affinity pulldown beads that carry immobilized kinase inhibitors. As an alternative approach to solid phase beads, Capture Compound Mass Spectrometry (CCMS) enables the functional isolation of protein-classes on the basis of small molecule-protein interactions in solution.

GDP-capture compound--a novel tool for the profiling of GTPases in pro- and eukaryotes by capture compound mass spectrometry (CCMS).

The functional isolation of proteome subsets based on small molecule-protein interactions is an increasingly popular and promising field in functional proteomics. Entire protein families may be profiled on the basis of their common interaction with a metabolite or small molecule inhibitor. This is enabled by novel multifunctional small molecule probes.

Capture compound mass spectrometry sheds light on the molecular mechanisms of liver toxicity of two Parkinson drugs.

Capture compound mass spectrometry (CCMS) is a novel technology that helps understand the molecular mechanism of the mode of action of small molecules. The Capture Compounds are trifunctional probes: A selectivity function (the drug) interacts with the proteins in a biological sample, a reactivity function (phenylazide) irreversibly forms a covalent bond, and a sorting function (biotin) allows the captured protein(s) to be isolated for mass spectrometric analysis. Tolcapone and entacapone are potent inhibitors of catechol-O-methyltransferase (COMT) for the treatment of Parkinson's disease.

Regulation of muscle development by DPF3, a novel histone acetylation and methylation reader of the BAF chromatin remodeling complex.

Chromatin remodeling and histone modifications facilitate access of transcription factors to DNA by promoting the unwinding and destabilization of histone-DNA interactions. We present DPF3, a new epigenetic key factor for heart and muscle development characterized by a double PHD finger. DPF3 is associated with the BAF chromatin remodeling complex and binds methylated and acetylated lysine residues of histone 3 and 4.

Prediction of cardiac transcription networks based on molecular data and complex clinical phenotypes.

We present an integrative approach combining sophisticated techniques to construct cardiac gene regulatory networks based on correlated gene expression and optimized prediction of transcription factor binding sites. We analyze transcription levels of a comprehensive set of 42 genes in biopsies derived from hearts of a cohort of 190 patients as well as healthy individuals. To precisely describe the variety of heart malformations observed in the patients, we delineate a detailed phenotype ontology that allows description of observed clinical characteristics as well as the definition of informative meta-phenotypes.

Characterization of TBX20 in human hearts and its regulation by TFAP2.

The T-box family of transcription factors has been shown to have major impact on human development and disease. In animal studies Tbx20 is essential for the development of the atrioventricular channel, the outflow tract and valves, suggesting its potential causative role for the development of Tetralogy of Fallot (TOF) in humans. In the presented study, we analyzed TBX20 in cardiac biopsies derived from patients with TOF, ventricular septal defects (VSDs) and normal hearts.

Combinatorial effects of four histone modifications in transcription and differentiation.

Nucleosomes are involved in DNA compaction and transcriptional regulation. Yet it is unclear whether histone modification marks are primary or secondary to transcription and whether they interact to form a histone code. We investigated the relationship between transcription and four histone modifications (H4ac, H3ac, H3K4me2/3) using ChIP-chip and expression microarray readouts from two murine cell lines, one in two differentiation stages.

Ringo--an R/Bioconductor package for analyzing ChIP-chip readouts.

Background: Chromatin immunoprecipitation combined with DNA microarrays (ChIP-chip) is a high-throughput assay for DNA-protein-binding or post-translational chromatin/histone modifications. However, the raw microarray intensity readings themselves are not immediately useful to researchers, but require a number of bioinformatic analysis steps. Identified enriched regions need to be bioinformatically annotated and compared to related datasets by statistical methods.