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Biomedical subjects

Peter A C 't Hoen

Publications and source records attributed to Peter A C 't Hoen.

12 recordsLinked to original sources

Prorenin induces intracellular signaling in cardiomyocytes independently of angiotensin II.

Tissue accumulation of circulating prorenin results in angiotensin generation, but could also, through binding to the recently cloned (pro)renin receptor, lead to angiotensin-independent effects, like p42/p44 mitogen-activated protein kinase (MAPK) activation and plasminogen-activator inhibitor (PAI)-1 release. Here we investigated whether prorenin exerts angiotensin-independent effects in neonatal rat cardiomyocytes. Polyclonal antibodies detected the (pro)renin receptor in these cells. Prorenin affected neither p42/p44 MAPK nor PAI-1. PAI-1 release did occur during coincubation with angiotensinogen, suggesting that this effect is angiotensin mediated. Prorenin concentration-dependently activated p38 MAPK and simultaneously phosphorylated HSP27. The latter phosphorylation was blocked by the p38 MAPK inhibitor SB203580. Rat microarray gene (n=4800) transcription profiling of myocytes stimulated with prorenin detected 260 regulated genes (P<0.001 versus control), among which genes downstream of p38 MAPK and HSP27 involved in actin filament dynamics and (cis-)regulated genes confined in blood pressure and diabetes QTL regions, like Syntaxin-7, were overrepresented. Quantitative real-time RT-PCR of 7 selected genes (Opg, Timp1, Best5, Hsp27, pro-Anp, Col3a1, and Hk2) revealed temporal regulation, with peak levels occurring after 4 hours of prorenin exposure. This regulation was not altered in the presence of the renin inhibitor aliskiren or the angiotensin II type 1 receptor antagonist eprosartan. Finally, pilot 2D proteomic differential display experiments revealed actin cytoskeleton changes in cardiomyocytes after 48 hours of prorenin stimulation. In conclusion, prorenin exerts angiotensin-independent effects in cardiomyocytes. Prorenin-induced stimulation of the p38 MAPK/HSP27 pathway, resulting in alterations in actin filament dynamics, may underlie the severe cardiac hypertrophy that has been described previously in rats with hepatic prorenin overexpression.

Actin Cytoskeleton↗

Gene expression profiling highlights defective myogenesis in DMD patients and a possible role for bone morphogenetic protein 4.

Duchenne Muscular Dystrophy (DMD) is characterized by progressive muscle weakness and wasting. Despite the sustained presence of satellite cells in their skeletal muscles, muscle regeneration in DMD patients seems inefficient and unable to compensate for the continuous muscle fiber loss. To find a molecular explanation, we compared the gene expression profiles of myoblasts from healthy individuals and DMD patients during activation and differentiation in culture. DMD cultures showed significant gene expression changes, even before dystrophin is expressed. We found a higher expression level of bone morphogenetic protein 4 (BMP4) in DMD cultures, which we demonstrate to inhibit differentiation into myotubes. In the later stages of differentiation, we observed a significant decline in expression of sarcomeric genes in the absence of dystrophin, probably contributing to sarcomeric instability. These results support the hypothesis that inefficient muscle regeneration is caused by impaired myoblast differentiation and impaired maintenance of the myotubes.

Adolescent↗

Exploiting the full power of temporal gene expression profiling through a new statistical test: application to the analysis of muscular dystrophy data.

BACKGROUND: The identification of biologically interesting genes in a temporal expression profiling dataset is challenging and complicated by high levels of experimental noise. Most statistical methods used in the literature do not fully exploit the temporal ordering in the dataset and are not suited to the case where temporal profiles are measured for a number of different biological conditions. We present a statistical test that makes explicit use of the temporal order in the data by fitting polynomial functions to the temporal profile of each gene and for each biological condition. A Hotelling T2-statistic is derived to detect the genes for which the parameters of these polynomials are significantly different from each other. RESULTS: We validate the temporal Hotelling T2-test on muscular gene expression data from four mouse strains which were profiled at different ages: dystrophin-, beta-sarcoglycan and gamma-sarcoglycan deficient mice, and wild-type mice. The first three are animal models for different muscular dystrophies. Extensive biological validation shows that the method is capable of finding genes with temporal profiles significantly different across the four strains, as well as identifying potential biomarkers for each form of the disease. The added value of the temporal test compared to an identical test which does not make use of temporal ordering is demonstrated via a simulation study, and through confirmation of the expression profiles from selected genes by quantitative PCR experiments. The proposed method maximises the detection of the biologically interesting genes, whilst minimising false detections. CONCLUSION: The temporal Hotelling T2-test is capable of finding relatively small and robust sets of genes that display different temporal profiles between the conditions of interest. The test is simple, it can be used on gene expression data generated from any experimental design and for any number of conditions, and it allows fast interpretation of the temporal behaviour of genes. The R code is available from V.V. The microarray data have been submitted to GEO under series GSE1574 and GSE3523.

Animals↗

Gene expression profiling to monitor therapeutic and adverse effects of antisense therapies for Duchenne muscular dystrophy.

OBJECTIVES: The objective of this study was to assess the utility of the gene expression profiling technique for the preclinical evaluation of drug efficacy and safety, taking a new therapeutic approach for Duchenne muscular dystrophy (DMD) as an example. METHODS: Muscles from dystrophin-deficient (mdx) mice, a well-characterized animal model for DMD, were injected with antisense constructs that restore the open reading frame in the Dmd gene. Synthetic antisense oligonucleotides (AONs) complexed with different carriers to enhance cellular uptake and recombinant adeno-associated virus (rAAV)-expressed antisense sequences were evaluated. Muscular gene expression profiles were analyzed on oligonucleotide microarrays. RESULTS: Polyethylenimine (PEI)-complexed AONs restored the reading frame slightly more effectively than uncomplexed, F127- or Optison-complexed AONs. However, PEI induced the expression of many immune genes, reflecting an aggravation of the inflammation present in untreated mdx mice. Expression profiles in Optison and F127-injected muscles were similar to those of saline treated muscles, implying that these carriers did not evoke adverse responses. Due to moderate levels of exon skipping, a significant shift toward wild-type expression levels was not detected. Injection with rAAV vectors resulted in much higher production of dystrophin and greatly improved the histological appearance of the muscle. Depending on the efficacy of the treatment, the expression of genes previously shown to be elevated in muscular dystrophies, partly or completely returned to wild-type expression levels. Reductions in inflammation and fibrosis were among the most prominent changes observed. CONCLUSION: Expression profiling is a powerful tool for the evaluation of both desired and adverse effects of new pharmacological therapies. It is sensitive and detects changes that are not histologically visible. In addition, its ability to simultaneously monitor a large number of different biological processes not only reduces the number of different assays required in preclinical research and clinical trials, but may also assist in the early detection of potential side effects.

Animals↗

Gene expression variation between mouse inbred strains.

BACKGROUND: In this study, we investigated the effect of genetic background on expression profiles. We analysed the transcriptome of mouse hindlimb muscle of five frequently used mouse inbred strains using spotted oligonucleotide microarrays. RESULTS: Through ANOVA analysis with a false discovery rate of 10%, we show that 1.4% of the analysed genes is significantly differentially expressed between these mouse strains. Differential expression of several of these genes has been confirmed by quantitative RT-PCR. The number of genes affected by genetic background is approximately ten-fold lower than the number of differentially expressed genes caused by a dystrophic genetic defect. CONCLUSIONS: We conclude that evaluation of the effect of background on gene expression profiles in the tissue under study is an effective and sensible approach when comparing expression patterns in animal models with heterogeneous genetic backgrounds. Genes affected by the genetic background can be excluded in subsequent analyses of the disease-related changes in expression profiles. This is often a more effective strategy than backcrossing and inbreeding to obtain isogenic backgrounds.

Animals↗

Intensity-based analysis of two-colour microarrays enables efficient and flexible hybridization designs.

In two-colour microarrays, the ratio of signal intensities of two co-hybridized samples is used as a relative measure of gene expression. Ratio-based analysis becomes complicated and inefficient in multi-class comparisons. We therefore investigated the validity of an intensity-based analysis procedure. To this end, two different cRNA targets were hybridized together, separately, with a common reference and in a self-self fashion on spotted 65mer oligonucleotide microarrays. We found that the signal intensity of the cRNA targets was not influenced by the presence of a target labelled in the opposite colour. This indicates that targets do not compete for binding sites on the array, which is essential for intensity-based analysis. It is demonstrated that, for good-quality arrays, the correlation of signal intensity measurements between the different hybridization designs is high (R > 0.9). Furthermore, ratio calculations from ratio- and intensity-based analyses correlated well (R > 0.8). Based on these results, we advocate the use of separate intensities rather than ratios in the analysis of two-colour long-oligonucleotide microarrays. Intensity-based analysis makes microarray experiments more efficient and more flexible: It allows for direct comparisons between all hybridized samples, while circumventing the need for a reference sample that occupies half of the hybridization capacity.

Animals↗

Large-scale gene expression analysis of human skeletal myoblast differentiation.

To study pathways involved in human skeletal myogenesis, we profiled gene expression in human primary myoblast cells derived from three individuals using both oligonucleotide and cDNA microarrays. Following stringent statistical testing (false-positive rate 0.4%), we identified 146 genes differentially expressed over time. Interestingly, 86 of these genes have not been reported to be involved in myogenesis in mouse cell lines. This demonstrates the additional value of human primary cell cultures in the study of muscle differentiation. Many of the identified genes play a role in muscle regeneration, indicating the close relationship of this process with muscle development. In addition, we found overlap with expression profiling studies in muscle from Duchenne muscular dystrophy patients, confirming ongoing muscle regeneration in Duchenne muscular dystrophy. Further study of these genes can bring new insights into the process of muscle differentiation, and they are candidate genes for neuromuscular disorders with an as yet unidentified cause.

Cell Differentiation↗

Aorta of ApoE-deficient mice responds to atherogenic stimuli by a prelesional increase and subsequent decrease in the expression of antioxidant enzymes.

Oxidative stress has been implicated in the development of atherosclerotic lesions. We evaluated the relationship between extent of atherosclerotic lesion formation and vascular expression of pro- and antioxidant enzymes in apoE-deficient mice. On normal chow, these mice showed elevated serum cholesterol levels (7.5- to 9.5-fold), and age-dependent, spontaneous development of all stages of atherosclerotic lesions, starting at the age of 12 weeks. RNA was extracted from the aortic arch and descending aorta, and mRNA expression of pro- and antioxidant enzymes was measured with real-time PCR. Local infiltration of monocytes/macrophages, reflected by increased vascular expression of CD68 mRNA (>10-fold), indicated that the arch was more susceptible than the descending aorta. The expression of catalase-1 and various isoforms of superoxide dismutase, glutathione peroxidase, and glutathione S-transferase alpha was significantly increased in the aortic arch, but not in the descending aorta, in the period preceding lesion formation (age 6 to 12 weeks). These expression levels were 1.5 to 5 times higher than in age-matched wild-type animals. Remarkably, there was an inverse relationship between extent of lesion formation and the mRNA levels of antioxidant enzymes, most of which started to decline after 12 weeks, as lesions developed. In contrast, inducible nitric oxide synthase expression increased 4-fold in the aortic arch over the course of the disease. Our results suggest that the arterial wall responds to increased serum levels of atherogenic lipoproteins by stimulating expression of antioxidant enzymes. The observed co-ordinate decline in expression of many of these protective systems may greatly accelerate the development of atherosclerosis.

Age Factors↗

Fluorescent labelling of cRNA for microarray applications.

Microarrays of oligonucleotide expression libraries can be hybridised with either cDNA, generated from mRNA during reverse transcription, or cRNA, generated in an Eberwine mRNA amplification procedure. While methods for fluorescent labelling of cDNA have been thoroughly investigated, methods for cRNA labelling have not. To this purpose, we developed an aminoallyl-UTP (aa-UTP) driven cRNA labelling protocol and compared it in expression profiling studies using spotted 7.5 K 65mer murine oligonucleotide arrays with labelling via direct incorporation of Cy-UTPs. The presence of dimethylsulfoxide during coupling of aa-modified cRNA with N-hydroxysuccinimide-modified, fluorescent Cy dyes greatly enhanced the labelling efficiency, as analysed by spectrophotometry and fluorescent hybridisation signals. Indirect labelling using aa-UTP resulted in 2- to 3-fold higher degrees of labelling and fluorescent signals than labelling by direct incorporation of Cy-UTP. By variation of the aa-UTP:UTP ratio, a clear optimal degree of labelling was found (1 dye per 20-25 nt). Incorporation of more label increased Cy3 signal but lowered Cy5 fluorescence. This effect is probably due to quenching, which is more prominent for Cy5 than for Cy3. In conclusion, the currently developed method is an efficient, robust and inexpensive technique for fluorescent labelling of cRNA and allows sensitive detection of gene expression profiles on oligonucleotide microarrays.

Carbocyanines↗

Induction of glutathione-S-transferase mRNA levels by chemopreventive selenocysteine Se-conjugates.

Several selenocysteine Se-conjugates (SeCys-conjugates) prevent against chemically induced carcinogenesis. Bioactivation to selenols (RSeH) by beta-lyases is thought to be critical, but the mechanism of tumor suppression remains unclear. Induction of phase II biotransformation enzymes is a possible mechanism of chemoprevention. In this study, we evaluated the isoform-selective induction of glutathione-S-transferase (GST) at the mRNA level using a quantitative reverse transcriptase polymerase chain reaction assay. In cultured primary rat hepatocytes and H35 Reuber rat hepatoma cells, SeCys-conjugates time-dependently increased mRNA levels of GST Alpha isoforms and GST Pi, but not of GST Mu isoforms. Se-allyl-L-selenocysteine, the most potent chemopreventive SeCys-conjugate so far known, was also the most active GST inducer. After exposure for 24hr, it elevated GSTA2, GSTA3, GSTA5, and GSTP mRNA levels in primary hepatocytes 3.2+/-0.4-, 1.9+/-0.1-, 4.3+/-0.3-, and 2.9+/-0.3-fold, respectively. Se-allyl-D-selenocysteine was significantly less active, suggesting that stereoselective conversion of SeCys-conjugates to selenols is involved in GST induction. In H35 Reuber hepatoma cells, where conversion of SeCys-conjugates to selenols was 2-6-fold lower than in primary hepatocytes, GST induction was also much lower than in primary hepatocytes. SeCys-conjugates did not induce cytochrome P450 1A1, 2B1/2, or 3A1. This indicates that SeCys-conjugates are monofunctional inducers of phase II biotransformation enzymes. The present results suggest that induction of GST expression contributes to the chemopreventive activity of SeCys-conjugates.

Animals↗

Selection of effective antisense oligodeoxynucleotides with a green fluorescent protein-based assay. Discovery of selective and potent inhibitors of glutathione S-transferase Mu expression.

Antisense oligodeoxynucleotides (AS-ODNs) are frequently used for the down-regulation of protein expression. Because the majority of potential antisense sequences lacks effectiveness, fast screening methods for the selection of effective AS-ODNs are needed. We describe a new cellular screening assay for the evaluation of the potency and specificity of new antisense sequences. Fusion constructs of the gene of interest and the gene encoding the enhanced green fluorescent protein (EGFP) are cotransfected with AS-ODNs to COS-7 cells. Subsequently, cells are analysed for expression of the EGFP fusion protein by flow cytometry. With the assay, we tested the effectiveness of a set of 15 phosphorothioate ODNs against rat glutathione S-transferase Mu1 (GSTM1) and/or Mu2 (GSTM2). We found several AS-ODNs that demonstrated potent, sequence-specific, and concentration-dependent inhibition of fusion protein expression. At 0.5 microm, AS-6 and AS-8 inhibited EGFP-GSTM1 expression by 95 +/- 4% and 81 +/- 6%, respectively. AS-5 and AS-10 were selective for GSTM2 (82 +/- 4% and 85 +/- 0.4% decrease, respectively). AS-2 and AS-3, targeted at homologous regions in GSTM1 and GSTM2, inhibited both isoforms (77-95% decrease). Other AS-ODNs were not effective or displayed non-target-specific inhibition of protein expression. The observed decrease in EGFP expression was accompanied by a decrease in GSTM enzyme activity. As isoform-selective, chemical inhibitors of GSTM and GSTM knock-out mice are presently unavailable, the selected AS-ODNs constitute important tools for the study of the role of GSTM in detoxification of xenobiotics and protection against chemical-induced carcinogenesis.

Animals↗

Selection of antisense oligodeoxynucleotides against glutathione S-transferase Mu.

The aim of the present study was to identify functional antisense oligodeoxynucleotides (ODNs) against the rat glutathione S-transferase Mu (GSTM) isoforms, GSTM1 and GSTM2. These antisense ODNs would enable the study of the physiological consequences of GSTM deficiency. Because it has been suggested that the effectiveness of antisense ODNs is dependent on the secondary mRNA structures of their target sites, we made mRNA secondary structure predictions with two software packages, Mfold and STAR. The two programs produced only marginally similar structures, which can probably be attributed to differences in the algorithms used. The effectiveness of a set of 18 antisense ODNs was evaluated with a cell-free transcription/translation assay, and their activity was correlated with the predicted secondary RNA structures. Four phosphodiester ODNs specific for GSTM1, two ODNs specific for GSTM2, and four ODNs targeted at both GSTM isoforms were found to be potent, sequence-specific, and RNase H-dependent inhibitors of protein expression. The IC50 value of the most potent ODN was approximately 100 nM. Antisense ODNs targeted against regions that were predicted by STAR to be predominantly single stranded were more potent than antisense ODNs against double-stranded regions. Such a correlation was not found for the Mfold prediction. Our data suggest that simulation of the local folding of RNA facilitates the discovery of potent antisense sequences. In conclusion, we selected several promising antisense sequences, which, when synthesized as biologically stable oligonucleotides, can be applied for study of the physiological impact of reduced GSTM expression.

Cell-Free System↗