Oculopharyngeal muscular dystrophy (OPMD) is an adult-onset disorder characterized by ptosis, dysphagia and proximal limb weakness. Autosomal-dominant OPMD is caused by a short (GCG)(8-13)... Show moreOculopharyngeal muscular dystrophy (OPMD) is an adult-onset disorder characterized by ptosis, dysphagia and proximal limb weakness. Autosomal-dominant OPMD is caused by a short (GCG)(8-13) expansions within the first exon of the poly(A)-binding protein nuclear 1 gene (PABPN1), leading to an expanded polyalanine tract in the mutated protein. Expanded PABPN1 forms insoluble aggregates in the nuclei of skeletal muscle fibres. In order to gain insight into the different physiological processes affected in OPMD muscles, we have used a transgenic mouse model of OPMD (A17.1) and performed transcriptomic studies combined with a detailed phenotypic characterization of this model at three time points. The transcriptomic analysis revealed a massive gene deregulation in the A17.1 mice, among which we identified a significant deregulation of pathways associated with muscle atrophy. Using a mathematical model for progression, we have identified that one-third of the progressive genes were also associated with muscle atrophy. Functional and histological analysis of the skeletal muscle of this mouse model confirmed a severe and progressive muscular atrophy associated with a reduction in muscle strength. Moreover, muscle atrophy in the A17.1 mice was restricted to fast glycolytic fibres, containing a large number of intranuclear inclusions (INIs). The soleus muscle and, in particular, oxidative fibres were spared, even though they contained INIs albeit to a lesser degree. These results demonstrate a fibre-type specificity of muscle atrophy in this OPMD model. This study improves our understanding of the biological pathways modified in OPMD to identify potential biomarkers and new therapeutic targets. Show less
Ramos, Y.F.M.; Hestand, M.S.; Verlaan, M.; Krabbendam, E.; Ariyurek, Y.; Galen, M. van; ... ; Hoen, P.A.C. 't 2010
Despite high levels of homology, transcription coactivators p300 and CREB binding protein (CBP) are both indispensable during embryogenesis. They are largely known to regulate the same genes. To... Show moreDespite high levels of homology, transcription coactivators p300 and CREB binding protein (CBP) are both indispensable during embryogenesis. They are largely known to regulate the same genes. To identify genes preferentially regulated by p300 or CBP, we performed an extensive genome-wide survey using the ChIP-seq on cell-cycle synchronized cells. We found that 57% of the tags were within genes or proximal promoters, with an overall preference for binding to transcription start and end sites. The heterogeneous binding patterns possibly reflect the divergent roles of CBP and p300 in transcriptional regulation. Most of the 16 103 genes were bound by both CBP and p300. However, after stimulation 89 and 1944 genes were preferentially bound by CBP or p300, respectively. Target genes were found to be primarily involved in the regulation of metabolic and developmental processes, and transcription, with CBP showing a stronger preference than p300 for genes active in negative regulation of transcription. Analysis of transcription factor binding sites suggest that CBP and p300 have many partners in common, but AP-1 and Serum Response Factor (SRF) appear to be more prominent in CBP-specific sequences, whereas AP-2 and SP1 are enriched in p300-specific targets. Taken together, our findings further elucidate the distinct roles of coactivators p300 and CBP in transcriptional regulation. Show less
Putten, M. van; Winter, C. de; Roon-Mom, W. van; Ommen, G.J. van; Hoen, P.A.C. 't; Aartsma-Rus, A. 2010
To assess the effect of potential therapeutic agents in dystrophic mice it is useful to have a functional test regime that does not affect the natural disease progression of mdx mice with... Show moreTo assess the effect of potential therapeutic agents in dystrophic mice it is useful to have a functional test regime that does not affect the natural disease progression of mdx mice with dystrophinopathy. We determined the effect of a 12 week test regime consisting of fore limb grip strength, rotarod analysis and two and four limb hanging wire tests on the disease progression of 4-week-old mdx mice. Mice performed the different functional tests on consecutive days on a weekly basis. No difference was found in serum creatine kinase levels between functionally active and sedentary mice. The percentage of fibrotic/necrotic areas assessed in a semi-automated way with colour deconvolution of skeletal muscles, heart and diaphragm did not vary within muscles or between groups, nor did the gene expression levels of disease-related genes. We conclude that this test regime may be suitable for short-term functional evaluation of therapeutic approaches in the mdx mouse. (C) 2010 Elsevier B.V. All rights reserved. Show less
Antisense-mediated exon skipping is currently the most promising therapeutic approach for Duchenne muscular dystrophy (DMD). The rationale is to use antisense oligonucleotides (AONs) to hide exons... Show moreAntisense-mediated exon skipping is currently the most promising therapeutic approach for Duchenne muscular dystrophy (DMD). The rationale is to use antisense oligonucleotides (AONs) to hide exons from the splicing machinery, causing them to be skipped from the mature mRNA. Thus, the mutated, out-of-frame dystrophin transcripts as seen in DMD are reframed, allowing the generation of internally deleted, partly functional dystrophin proteins, rather than prematurely truncated, nonfunctional ones. This approach is mutation specific, so multiple AONs targeting all internal DMD exons have been designed and tested. Here, we have retrospectively compared our own set of 156 exon-internal AONs and 256 AONs as present in patents and publications from Dr. Wilton (Australia), which includes exon-internal as well as splice site-targeting AONs. Effective AONs are significantly more often exon-internal and, as anticipated, have better thermodynamic properties. Comparison of splice site and exon-internal AONs revealed that exon-internal AONs are more efficient and target more predicted exonic splicing enhancer and less predicted exon splicing silencer sites, but also have better thermodynamic properties. This suggests that exons may be better AON targets than introns per se, because of their higher GC content, which generally will result in improved AON binding. Show less
Background: In microarray data analysis, factors such as data quality, biological variation, and the increasingly multi-layered nature of more complex biological systems complicates the modelling... Show moreBackground: In microarray data analysis, factors such as data quality, biological variation, and the increasingly multi-layered nature of more complex biological systems complicates the modelling of regulatory networks that can represent and capture the interactions among genes. We believe that the use of multiple datasets derived from related biological systems leads to more robust models. Therefore, we developed a novel framework for modelling regulatory networks that involves training and evaluation on independent datasets. Our approach includes the following steps: (1) ordering the datasets based on their level of noise and informativeness; (2) selection of a Bayesian classifier with an appropriate level of complexity by evaluation of predictive performance on independent data sets; (3) comparing the different gene selections and the influence of increasing the model complexity; (4) functional analysis of the informative genes. Results: In this paper, we identify the most appropriate model complexity using cross-validation and independent test set validation for predicting gene expression in three published datasets related to myogenesis and muscle differentiation. Furthermore, we demonstrate that models trained on simpler datasets can be used to identify interactions among genes and select the most informative. We also show that these models can explain the myogenesis-related genes (genes of interest) significantly better than others (P < 0.004) since the improvement in their rankings is much more pronounced. Finally, after further evaluating our results on synthetic datasets, we show that our approach outperforms a concordance method by Lai et al. in identifying informative genes from multiple datasets with increasing complexity whilst additionally modelling the interaction between genes. Conclusions: We show that Bayesian networks derived from simpler controlled systems have better performance than those trained on datasets from more complex biological systems. Further, we present that highly predictive and consistent genes, from the pool of differentially expressed genes, across independent datasets are more likely to be fundamentally involved in the biological process under study. We conclude that networks trained on simpler controlled systems, such as in vitro experiments, can be used to model and capture interactions among genes in more complex datasets, such as in vivo experiments, where these interactions would otherwise be concealed by a multitude of other ongoing events. Show less
