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Background: Huntington's disease (HD) is a devastating brain disorder with no effective treatment or cure available. The scarcity of brain tissue makes it hard to study changes in the brain and impossible to perform longitudinal studies. However, peripheral pathology in HD suggests that it is possible to study the disease using peripheral tissue as a monitoring tool for disease progression and/or efficacy of novel therapies. In this study, we investigated if blood can be used to monitor disease severity and progression in brain. Since previous attempts using only gene expression proved unsuccessful, we compared blood and brain Huntington's disease signatures in a functional context.Methods: Microarray HD gene expression profiles from three brain regions were compared to the transcriptome of HD blood generated by next generation sequencing. The comparison was performed with a combination of weighted gene co-expression network analysis and literature based functional analysis (Concept Profile Analysis). Uniquely, our comparison of blood and brain datasets was not based on (the very limited) gene overlap but on the similarity between the gene annotations in four different semantic categories: "biological process", "cellular component", "molecular function" and "disease or syndrome".Results: We identified signatures in HD blood reflecting a broad pathophysiological spectrum, including alterations in the immune response, sphingolipid biosynthetic processes, lipid transport, cell signaling, protein modification, spliceosome, RNA splicing, vesicle transport, cell signaling and synaptic transmission. Part of this spectrum was reminiscent of the brain pathology. The HD signatures in caudate nucleus and BA4 exhibited the highest similarity with blood, irrespective of the category of semantic annotations used. BA9 exhibited an intermediate similarity, while cerebellum had the least similarity. We present two signatures that were shared between blood and brain: immune response and spinocerebellar ataxias.Conclusions: Our results demonstrate that HD blood exhibits dysregulation that is similar to brain at a functional level, but not necessarily at the level of individual genes. We report two common signatures that can be used to monitor the pathology in brain of HD patients in a non-invasive manner. Our results are an exemplar of how signals in blood data can be used to represent brain disorders. Our methodology can be used to study disease specific signatures in diseases where heterogeneous tissues are involved in the pathology. [ABSTRACT FROM AUTHOR]

To further our understanding of the somatic genetic basis of uveal melanoma, we sequenced the protein-coding regions of 52 primary tumors and 3 liver metastases together with paired normal DNA. Known recurrent mutations were identified in GNAQ, GNA11, BAP1, EIF1AX, and SF3B1. The role of mutated EIF1AX was tested using loss of function approaches including viability and translational efficiency assays. Knockdown of both wild type and mutant EIF1AX was lethal to uveal melanoma cells. We probed the function of N-terminal tail EIF1AX mutations by performing RNA sequencing of polysome-associated transcripts in cells expressing endogenous wild type or mutant EIF1AX. Ribosome occupancy of the global translational apparatus was sensitive to suppression of wild type but not mutant EIF1AX. Together, these studies suggest that cells expressing mutant EIF1AX may exhibit aberrant translational regulation, which may provide clonal selective advantage in the subset of uveal melanoma that harbors this mutation.

OBJECTIVE Obesity and type 2 diabetes mellitus (T2DM) have been associated with increased levels of circulating branched-chain amino acids (BCAAs) that may be involved in the pathogenesis of insulin resistance. However, weight loss has not been consistently associated with the reduction of BCAA levels. RESEARCH DESIGN AND METHODS We included 30 obese normal glucose-tolerant (NGT) subjects, 32 obese subjects with T2DM, and 12 lean female subjects. Obese subjects underwent either a restrictive procedure (gastric banding [GB], a very low-calorie diet [VLCD]), or a restrictive/bypass procedure (Roux-en-Y gastric bypass [RYGB] surgery). Fasting blood samples were taken for the determination of amine group containing metabolites 4 weeks before, as well as 3 weeks and 3 months after the intervention. RESULTS BCAA levels were higher in T2DM subjects, but not in NGT subjects, compared with lean subjects. Principal component (PC) analysis revealed a concise PC consisting of all BCAAs, which showed a correlation with measures of insulin sensitivity and glucose tolerance. Only after the RYGB procedure, and at both 3 weeks and 3 months, were circulating BCAA levels reduced. CONCLUSIONS Our data confirm an association between deregulation of BCAA metabolism in plasma and insulin resistance and glucose intolerance. Three weeks after undergoing RYGB surgery, a significant decrease in BCAAs in both NGT as well as T2DM subjects was observed. After 3 months, despite inducing significant weight loss, neither GB nor VLCD induced a reduction in BCAA levels. Our results indicate that the bypass procedure of RYGB surgery, independent of weight loss or the presence of T2DM, reduces BCAA levels in obese subjects. [ABSTRACT FROM AUTHOR]

Despite the recent progress in the broad-scaled analysis of proteins in body fluids, there is still a lack in protein profiling approaches for biomarkers of rare diseases. Scarcity of samples is the main obstacle hindering attempts to apply discovery driven protein profiling in rare diseases. We addressed this challenge by combining samples collected within the BIO- NMD consortium from four geographically dispersed clinical sites to identify protein markers associated with muscular dystrophy using an antibody bead array platform with 384 antibodies. Based on concordance in statistical significance and confirmatory results obtained from analysis of both serum and plasma, we identified eleven proteins associated with muscular dystrophy, among which four proteins were elevated in blood from muscular dystrophy patients: carbonic anhydrase III ( CA3) and myosin light chain 3 ( MYL3), both specifically expressed in slow-twitch muscle fibers and mitochondrial malate dehydrogenase 2 ( MDH2) and electron transfer flavoprotein A ( ETFA). Using age-matched sub-cohorts, 9 protein profiles correlating with disease progression and severity were identified, which hold promise for the development of new clinical tools for management of dystrophinopathies. [ABSTRACT FROM AUTHOR]

Duchenne muscular dystrophy (DMD) is a severe muscle-wasting disorder caused by the lack of functional dystrophin. There is no cure, but several clinical trials aimed to restore the synthesis of functional dystrophin are underway. The dystrophin levels needed for improvement of muscle pathology, function, and overall vitality are not known. Here, we describe the mdx/utrn-/-/XistΔhs mouse model, which expresses a range of low dystrophin levels, depending on the degree of skewing of X inactivation in a utrophin-negative background. Mdx/utrn-/- mice develop severe muscle weakness, kyphosis, respiratory and heart failure, and premature death closely resembling DMD pathology. We show that at dystrophin levels < 4%, survival and motor function in these animals are greatly improved. In mice expressing >4% dystrophin, histopathology is ameliorated, as well. These findings suggest that the dystrophin levels needed to benefit vitality and functioning of patients with DMD might be lower than those needed for full protection against muscle damage. [ABSTRACT FROM AUTHOR]

Background Genome-wide association studies (GWAS) have identified many common single nucleotide polymorphisms (SNPs) that associate with clinical phenotypes, but these SNPs usually explain just a small part of the heritability and have relatively modest effect sizes. In contrast, SNPs that associate with metabolite levels generally explain a higher percentage of the genetic variation and demonstrate larger effect sizes. Still, the discovery of SNPs associated with metabolite levels is challenging since testing all metabolites measured in typical metabolomics studies with all SNPs comes with a severe multiple testing penalty. We have developed an automated workflow approach that utilizes prior knowledge of biochemical pathways present in databases like KEGG and BioCyc to generate a smaller SNP set relevant to the metabolite. This paper explores the opportunities and challenges in the analysis of GWAS of metabolomic phenotypes and provides novel insights into the genetic basis of metabolic variation through the re-analysis of published GWAS datasets. Results Re-analysis of the published GWAS dataset from Illig et al. (Nature Genetics, 2010) using a pathway-based workflow (http://www.myexperiment.org/packs/319.html), confirmed previously identified hits and identified a new locus of human metabolic individuality, associating Aldehyde dehydrogenase family1 L1 (ALDH1L1) with serine/glycine ratios in blood. Replication in an independent GWAS dataset of phospholipids (Demirkan et al., PLoS Genetics, 2012) identified two novel loci supported by additional literature evidence: GPAM (Glycerol-3 phosphate acyltransferase) and CBS (Cystathionine beta-synthase). In addition, the workflow approach provided novel insight into the affected pathways and relevance of some of these gene-metabolite pairs in disease development and progression. Conclusions We demonstrate the utility of automated exploitation of background knowledge present in pathway databases for the analysis of GWAS datasets of metabolomic phenotypes. We report novel loci and potential biochemical mechanisms that contribute to our understanding of the genetic basis of metabolic variation and its relationship to disease development and progression. [ABSTRACT FROM AUTHOR]

FC&ggr;R ligation by Ag-Ab immune complexes (IC) not only mediates effective Ag uptake, but also strongly initiates dendritic cell (DC) maturation, a requirement for effective T cell activation. Besides the activating FC&ggr;RI, FC&ggr;RIII, and FC&ggr;RIV, the inhibitory FC&ggr;RIIb is expressed on DCs. It is unclear how the ratio between signals from the activating FC&ggr;R and the inhibitory FC&ggr;RIIb determines the outcome of FC&ggr;R ligation on DCs. By microarray analysis, we compared the transcriptomes of steady state and ICactivated bone marrow-derived wild-type (WT) DCs expressing all FC&ggr;R or DCs expressing only activating FC&ggr;R (FC&ggr;RIIb knockout [KO]) or only the inhibitory FC&ggr;RHb (FcR &ggr;-chain KO). In WT DCs, we observed a gene expression profile associated with effective T cell activation, which was absent in FcR &ggr;-chain KO, but strikingly more pronounced in FC&ggr;RIIb KObone marrowderived DCs. These microarray results, confirmed at the protein level for many cytokines and other immunological relevant genes, demonstrate that the transcriptome of IC-activated DCs is dependent on the presence of the activating FC&ggr;R and that the modulation of the expression of the majority of the genes was strongly regulated by FC&ggr;RIIb. Our data suggest that FC&ggr;RIIb-deficient DCs have an improved capacity to activate naive T lymphocytes. This was confirmed by their enhanced FC&ggr;R-dependent Ag presentation and in vivo induction of CD8+ T cell expansion compared with WT DCs. Our findings underscore the potency of FC&ggr;R ligation on DCs for the effective induction of T cell immunity by ICs and the strong regulatory role of FC&ggr;RIIb. [ABSTRACT FROM AUTHOR]

The transforming growth factor (TGF)-β family member myostatin is an important regulator of myoblast, adipocyte, and fibroblast growth and differentiation, but the signaling mechanisms remain to be established. We therefore determined the contribution of myostatin type I receptors activin receptor-like kinase-4 (ALK4) and -5 (ALK5) and different coreceptors in C2C12 myoblasts, C3H10T1/2 mesenchymal stem cells, and 3T3-L1 fibroblasts, as well as in primary myoblast and fibroblasts. We performed siRNA-mediated knockdown of each receptor and measured signaling activity using Smad3-dependent luciferase and Smad2 phosphorylation assays with nontargeting siRNA as control. We find that myostatin utilizes ALK4 in myoblasts, whereas it has a preference for ALK5 in nonmyogenic cells. Notably, our results show that coreceptor Cripto is expressed in myoblasts but not in the nonmyogenic cells and that it regulates myostatin activity. More specifically, myostatin requires Cripto in myoblasts, whereas Cripto represses activin activity and TGF- signaling is Cripto independent. Cripto-mediated myostatin signaling is dependent on both epidermal growth factor (EGF)-like and CriptoFRL1-cryptic (CFC) domains, whereas activin signaling is solely conferred by the CFC domain. Furthermore, Cripto down-regulation enhances myoblast differentiation, showing its importance in myostatin signaling. Together, our results identify a molecular mechanism that explains the cell-type specific aspects of signaling by myostatin and other TGF-β family members. [ABSTRACT FROM AUTHOR]

Background: Myostatin is a potent muscle growth inhibitor that belongs to the Transforming Growth Factor-b (TGF-β) family. Mutations leading to non functional myostatin have been associated with hypermuscularity in several organisms. By contrast, Duchenne muscular dystrophy (DMD) is characterized by a loss of muscle fibers and impaired regeneration. In this study, we aim to knockdown myostatin by means of exon skipping, a technique which has been successfully applied to reframe the genetic defect of dystrophin gene in DMD patients. Methods: We targeted myostatin exon 2 using antisense oligonucleotides (AON) in healthy and DMD-derived myotubes cultures. We assessed the exon skipping level, transcriptional expression of myostatin and its target genes, and combined myostatin and several dystrophin AONs. These AONs were also applied in the mdx mice models via intramuscular injections. Results: Myostatin AON induced exon 2 skipping in cell cultures and to a lower extent in the mdx mice. It was accompanied by decrease in myostatin mRNA and enhanced MYOG and MYF5 expression. Furthermore, combination of myostatin and dystrophin AONs induced simultaneous skipping of both genes. Conclusions: We conclude that two AONs can be used to target two different genes, MSTN and DMD, in a straightforward manner. Targeting multiple ligands of TGF-beta family will be more promising as adjuvant therapies for DMD. [ABSTRACT FROM AUTHOR]

Calpain 3 (CAPN3) is a cysteine protease that when mutated causes Limb Girdle Muscular Dystrophy 2A. It is thereby the only described Calpain family member that genetically causes a disease. Due to its inherent instability little is known of its substrates or its mechanism of activity and pathogenicity. In this investigation we define a primary sequence motif underlying CAPN3 substrate cleavage. This motif can transform non-related proteins into substrates, and identifies .300 new putative CAPN3 targets. Bioinformatic analyses of these targets demonstrate a critical role in muscle cytoskeletal remodeling and identify novel CAPN3 functions. Among the new CAPN3 substrates are three E3 SUMO ligases of the Protein Inhibitor of Activated Stats (PIAS) family. CAPN3 can cleave PIAS proteins and negatively regulates PIAS3 sumoylase activity. Consequently, SUMO2 is deregulated in patient muscle tissue. Our study thus uncovers unexpected crosstalk between CAPN3 proteolysis and protein sumoylation, with strong implications for muscle remodeling [ABSTRACT FROM AUTHOR]

Background: MicroRNAs are small non-coding RNA transcripts that regulate post-transcriptional gene expression. The millions of short sequence reads generated by next generation sequencing technologies make this technique explicitly suitable for profiling of known and novel microRNAs. A modification to the small-RNA expression kit (SREK, Ambion) library preparation method for the SOLiD sequencing platform is described to generate microRNA sequencing libraries that are compatible with the Illumina Genome Analyzer. Results: High quality sequencing libraries can successfully be prepared from as little as 100 ng small RNA enriched RNA. An easy to use perl-based analysis pipeline called E-miR was developed to handle the sequencing data in several automated steps including data format conversion, 3' adapter removal, genome alignment and annotation to non-coding RNA transcripts. The sample preparation and E-miR pipeline were used to identify 37 cardiac enriched microRNAs in stage 16 chicken embryos. Isomir expression profiles between the heart and embryo were highly correlated for all miRNAs suggesting that tissue or cell specific miRNA modifications do not occur. Conclusions: In conclusion, our alternative sample preparation method can successfully be applied to generate high quality miRNA sequencing libraries for the Illumina genome analyzer. [ABSTRACT FROM AUTHOR]

The article presents a study which uses a novel Tbx3-based node-specific transgenic reporter in determining gene programs. It states that this king of reporter is an essential element in the process of gene expression profiling of the forming atrioventricular (AV) node. It was also found out that AV node-specific gene profiles consists of multiple neurotrophic factors and semaphorins.

We report the generation of mice with an intact and functional copy of the 2.3-megabase human dystrophin gene (hDMD), the largest functional stretch of human DNA thus far integrated into a mouse chromosome. Yeast spheroplasts containing an artificial chromosome with the full-length hDMD gene were fused with mouse embryonic stem cells and were subsequently injected into mouse blastocysts to produce transgenic hDMD mice. Human-specific PCR, Southern blotting, and fluorescent in situ hybridization techniques demonstrated the intactness and stable chromosomal integration of the hDMD gene on mouse chromosome 5. Expression of the transgene was confirmed by RT-PCR and Western blotting. The tissue-specific expression pattern of the different DMD transcripts was maintained. However, the human Dp427p and Dp427m transcripts were expressed at 2-fold higher levels and human Dp427c and Dp260 transcripts were expressed at 2- and 4-fold lower levels than their endogenous counterparts. Ultimate functional proof of the hDMD transgene was obtained by crossing of hDMD mice with dystrophin-deficient mdx mice and dystrophin and utrophin-deficient mdx × Utrn-/- mice. The hDMD transgene rescued the lethal dystrophic phenotype of the mdx × Utrn-/- mice. All signs of muscular dystrophy disappeared in the rescued mice, as demonstrated by histological staining of muscle sections and gene expression profiling experiments. Currently, hDMD mice are extensively used for preclinical testing of sequence-specific therapeutics for the treatment of Duchenne muscular dystrophy. In addition, the hDMD mouse can be used to study the influence of the genomic context on deletion and recombination frequencies, genome stability, and gene expression regulation. [ABSTRACT FROM AUTHOR]

Background: The comparability of gene expression data generated with different microarray platforms is still a matter of concern. Here we address the performance and the overlap in the detection of differentially expressed genes for five different microarray platforms in a challenging biological context where differences in gene expression are few and subtle. Results: Gene expression profiles in the hippocampus of five wild-type and five transgenic δC-doublecortin-like kinase mice were evaluated with five microarray platforms: Applied Biosystems, Affymetrix, Agilent, Illumina, LGTC home-spotted arrays. Using a fixed false discovery rate of 10% we detected surprising differences between the number of differentially expressed genes per platform. Four genes were selected by ABI, 130 by Affymetrix, 3,051 by Agilent, 54 by Illumina, and 13 by LGTC. Two genes were found significantly differentially expressed by all platforms and the four genes identified by the ABI platform were found by at least three other platforms. Quantitative RT-PCR analysis confirmed 20 out of 28 of the genes detected by two or more platforms and 8 out of 15 of the genes detected by Agilent only. We observed improved correlations between platforms when ranking the genes based on the significance level than with a fixed statistical cut-off. We demonstrate significant overlap in the affected gene sets identified by the different platforms, although biological processes were represented by only partially overlapping sets of genes. Aberrances in GABA-ergic signalling in the transgenic mice were consistently found by all platforms. Conclusion: The different microarray platforms give partially complementary views on biological processes affected. Our data indicate that when analyzing samples with only subtle differences in gene expression the use of two different platforms might be more attractive than increasing the number of replicates. Commercial two-color platforms seem to have higher power for finding differentially expressed genes between groups with small differences in expression. [ABSTRACT FROM AUTHOR]

Background: Comparative analysis of expression microarray studies is difficult due to the large influence of technical factors on experimental outcome. Still, the identified differentially expressed genes may hint at the same biological processes. However, manually curated assignment of genes to biological processes, such as pursued by the Gene Ontology (GO) consortium, is incomplete and limited. We hypothesised that automatic association of genes with biological processes through thesaurus-controlled mining of Medline abstracts would be more effective. Therefore, we developed a novel algorithm (LAMA: Literature-Aided Meta-Analysis) to quantify the similarity between transcriptomics studies. We evaluated our algorithm on a large compendium of 102 microarray studies published in the field of muscle development and disease, and compared it to similarity measures based on gene overlap and over-representation of biological processes assigned by GO. Results: While the overlap in both genes and overrepresented GO-terms was poor, LAMA retrieved many more biologically meaningful links between studies, with substantially lower influence of technical factors. LAMA correctly grouped muscular dystrophy, regeneration and myositis studies, and linked patient and corresponding mouse model studies. LAMA also retrieves the connecting biological concepts. Among other new discoveries, we associated cullin proteins, a class of ubiquitinylation proteins, with genes down-regulated during muscle regeneration, whereas ubiquitinylation was previously reported to be activated during the inverse process: muscle atrophy. Conclusion: Our literature-based association analysis is capable of finding hidden common biological denominators in microarray studies, and circumvents the need for raw data analysis or curated gene annotation databases. [ABSTRACT FROM AUTHOR]