Oculopharyngeal muscular dystrophy (OPMD) is an autosomal dominant disease caused by an alanine tract expansion mutation in Poly(A)-binding protein nuclear 1 (expPABPN1). To model OPMD in a myogenic and physiological context, we generated mouse myoblast cell clones stably expressing either human wild type (WT) or expPABPN1 at low levels. The transgene expression is induced upon myotube differentiation and results in formation of insoluble nuclear PABPN1 aggregates that are similar to the in vivo aggregates. Quantitative analysis of PABPN1 protein in myotube cultures revealed that expPABPN1 accumulation and aggregation is greater than that of the WT protein. In a comparative study we found that aggregation of expPABPN1 is more affected by inhibition of proteasome activity, as compared with the WT PABPN1 aggregation. Consistent with this, in myotubes cultures expressing expPABPN1 deregulation of the proteasome was identified as the most significantly deregulated pathway. Differences in the accumulation of soluble WT and expPABPN1 were consistent with differences in ubiquitination and protein turnover. This study indicates, for the first time, that in myotubes the ratio of soluble to insoluble expPABPN1 is significantly lower compared to that of the WT protein. We suggest that this difference can contribute to muscle weakness in OPMD.
Modeling oculopharyngeal muscular dystrophy in myotube cultures reveals reduced accumulation of soluble mutant PABPN1 protein.
Cell line
View SamplesOculopharyngeal muscular dystrophy (OPMD) is a late-onset progressive muscle disorder caused by a poly-alanine expansion mutation in PABPN1. The hallmark of OPMD is the accumulation of the mutant protein in insoluble nuclear inclusions. The molecular mechanisms associated with disease onset and progression are unknown. We performed a high-throughput cross-species transcriptome study of affected muscles from two OPMD animal models and from patients at pre-symptomatic and symptomatic stages. The most consistently and significantly OPMD-deregulated pathway across species is the ubiquitin-proteasome system (UPS). By analyzing expression profiles, we found that the majority of OPMD-deregulated genes are age-associated. Based on expression trends, disease onset can be separated from progression; the expression profiles of the proteasome-encoding genes are associated with onset but not with progression. In a muscle cell model, proteasome inhibition and the stimulation of immunoproteasome specifically affect the accumulation and aggregation of mutant PABPN1. We suggest that proteasome down-regulation during muscle aging triggers the accumulation of expPABPN1 that in turn enhances proteasome deregulation and leads to intranuclear inclusions (INI) formation.
Deregulation of the ubiquitin-proteasome system is the predominant molecular pathology in OPMD animal models and patients.
Sex, Age, Disease, Disease stage
View SamplesZebrafish embryos have been proposed as an attractive alternative model system for hepatotoxicity testing.
A transcriptomics-based hepatotoxicity comparison between the zebrafish embryo and established human and rodent in vitro and in vivo models using cyclosporine A, amiodarone and acetaminophen.
Compound
View SamplesWe use the zebrafish embryo model to study the innate immune response against Staphylococcus epidermidis. Therefore, we injected S. epidermidis into the yolk at 2 hpf and took samples at 5 days post injection. Overall design: This deep sequence study was designed to determine the gene expression profile by Staphylococcus epidermidis infection. RNA was isolated from embryos at 5 days post injection. Wildtypes zebrafish embryos were micro-injected into the yolk (2hpf) with 20 CFU of S. epidermdis O-47 mCherry bacteria suspended in PVP (Polyvinylpyrrolidone), or Non-injected as a control. After injections embryos were transferred into fresh egg water and incubated at 28°C. At 5 days post injection 100-200 embryos per group were snap-frozen in liquid nitrogen, and total RNA was isolated using TRIZOL reagent.
Analysis of RNAseq datasets from a comparative infectious disease zebrafish model using GeneTiles bioinformatics.
No sample metadata fields
View SamplesWe use the zebrafish embryo model to study the innate immune response against Mycobacterium marinum. Therefore, we injected M. marinum into the yolk at the 64 cell stage and took samples at 5 days post injection. Overall design: This deep sequence study was designed to determine the gene expression profile by Mycobacterium marinum infection. RNA was isolated from embryos at 5 days post injection. Wildtypes zebrafish embryos were micro-injected into the yolk (64 cell stage) with 40 CFU of Mycobacterium marinum E11 mCherry bacteria suspended in PVP (Polyvinylpyrrolidone), or Non-injected as a control. After injections embryos were transferred into fresh egg water and incubated at 28°C. At 5 days post injection 50 embryos per group were snap-frozen in liquid nitrogen, and total RNA was isolated using TRIZOL reagent.
Analysis of RNAseq datasets from a comparative infectious disease zebrafish model using GeneTiles bioinformatics.
No sample metadata fields
View SamplesWe compared Agilent custom made expression microarrays with Illumina deep sequencing for RNA analysis of zebrafish embryos 5 days post fertilization, showing as expected a high degree of correlation of expression of a common set of 15,927 genes for untreated fish. The transcriptomes were also compared for fish injected in the yolk with Mycobacterium marinum Overall design: This RNA deep sequencing study was designed to determine the gene expression profile of zebrafish embryos 5 days post fertilization. We also have compared expression with embryos that were injected with Mycobacterium marinum in the yolk at 2 hours post fertilization. After injections embryos were transferred into fresh egg water and incubated at 28°C. 150 embryos of mock-injected embryos or 200 embryos injected with 12 CFU bacteria were snap-frozen in liquid nitrogen, and total RNA was isolated using TRIZOL reagent.
Analysis of RNAseq datasets from a comparative infectious disease zebrafish model using GeneTiles bioinformatics.
No sample metadata fields
View SamplesEnterocytes assemble dietary lipids into chylomicron particles that are taken up by intestinal lacteal vessels and peripheral tissues. Although chylomicrons are known to assemble in part within membrane secretory pathways, the modifications required for efficient vascular uptake are unknown. We report that the transcription factor Pleomorphic adenoma gene-like 2 (PLAGL2) is essential for this aspect of dietary lipid metabolism. PlagL2-/- mice die from post-natal wasting owing to failure of fat absorption. Lipids modified in the absence of PlagL2 exit from enterocytes but fail to enter interstitial lacteal vessels. Dysregulation of enterocyte genes closely linked to intracellular membrane transport identified candidate regulators of critical steps in chylomicron assembly. PlagL2 thus regulates essential and poorly understood aspects of dietary lipid absorption and its deficiency represents an authentic animal model with implications for amelioration of obesity or the metabolic syndrome.
Loss of the PlagL2 transcription factor affects lacteal uptake of chylomicrons.
No sample metadata fields
View SamplesBackground: Systemic inflammation is a whole body reaction that can have an infection-positive (i.e. sepsis) or infection-negative origin. It is important to distinguish between septic and non-septic presentations early and reliably, because this has significant therapeutic implications for critically ill patients. We hypothesized that a molecular classifier based on a small number of RNAs expressed in peripheral blood could be discovered that would: 1) determine which patients with systemic inflammation had sepsis; 2) be robust across independent patient cohorts; 3) be insensitive to disease severity; and 4) provide diagnostic utility. The overall goal of this study was to identify and validate such a molecular classifier. Methods and Findings: We conducted an observational, non-interventional study of adult patients recruited from tertiary intensive care units (ICU). Biomarker discovery was conducted with an Australian cohort (n = 105) consisting of sepsis patients and post -surgical patients with infection-negative systemic inflammation. Using this cohort, a four-gene classifier consisting of a combination of CEACAM4, LAMP1, PLA2G7 and PLAC8 RNA biomarkers was identified. This classifier, designated SeptiCyte Lab, was externally validated using RT-qPCR and receiver operating characteristic (ROC) curve analysis in five cohorts (n = 345) from the Netherlands. Cohort 1 (n=59) consisted of unambiguous septic cases and infection-negative systemic inflammation controls; SeptiCyte Lab gave an area under curve (AUC) of 0.96 (95% CI: 0.91-1.00). ROC analysis of a more heterogeneous group of patients (Cohorts 2-5; 249 patients after excluding 37 patients with infection likelihood possible) gave an AUC of 0.89 (95% CI: 0.85-0.93). Disease severity, as measured by Sequential Organ Failure Assessment (SOFA) score or the Acute Physiology and Chronic Health Evaluation (APACHE) IV score, was not a significant confounding variable. The diagnostic utility o f SeptiCyte Lab was evaluated by comparison to various clinical and laboratory parameters that would be available to a clinician within 24 hours of ICU admission. SeptiCyte Lab was significantly better at differentiating sepsis from infection-negative systemic inflammation than all tested parameters, both singly and in various logistic combinations. SeptiCyte Lab more than halved the diagnostic error rate compared to PCT in all tested cohorts or cohort combinations. Conclusions: SeptiCyte Lab is a rapid molecular assay that may be clinically useful in the management of ICU patients with systemic inflammation.
A Molecular Host Response Assay to Discriminate Between Sepsis and Infection-Negative Systemic Inflammation in Critically Ill Patients: Discovery and Validation in Independent Cohorts.
No sample metadata fields
View SamplesAlmost a quarter of pediatric patients with Acute Lymphoblastic Leukemia (ALL) suffer from relapses. The biological mechanisms underlying therapy response and development of relapses have remained unclear. In an attempt to better understand this phenomenon, we have analyzed 41 matched diagnosis relapse pairs of ALL patients using genomewide expression arrays (82 arrays) on purified leukemic cells. In roughly half of the patients very few differences between diagnosis and relapse samples were found (stable group), suggesting that mostly extra-leukemic factors (e.g., drug distribution, drug metabolism, compliance) contributed to the relapse. Therefore, we focused our further analysis on 20 samples with clear differences in gene expression (skewed group), reasoning that these would allow us to better study the biological mechanisms underlying relapsed ALL. After finding the differences between diagnosis and relapse pairs in this group, we identified four major gene clusters corresponding to several pathways associated with changes in cell cycle, DNA replication, recombination and repair, as well as B cell developmental genes. We also identified cancer genes commonly associated with colon carcinomas and ubiquitination to be upregulated in relapsed ALL. Thus, about half of relapses are due to selection or emergence of a clone with deregulated expression of a genes involved in pathways that regulate B cell signaling, development, cell cycle, cellular division and replication.
Genome-wide expression analysis of paired diagnosis-relapse samples in ALL indicates involvement of pathways related to DNA replication, cell cycle and DNA repair, independent of immune phenotype.
Sex, Specimen part, Disease
View SamplesBackground and Purpose—Analyzing genes involved in development and rupture of intracranial aneurysms can enhance knowledge about the pathogenesis of aneurysms, and identify new treatment strategies. We compared gene expression between ruptured and unruptured aneurysms and control intracranial arteries. Methods—We determined expression levels with RNA sequencing. Applying a multivariate negative binomial model, we identified genes that were differentially expressed between 44 aneurysms and 16 control arteries, and between 22 ruptured and 21 unruptured aneurysms. The differential expression of 8 relevant and highly significant genes was validated using digital polymerase chain reaction. Pathway analysis was used to identify enriched pathways. We also analyzed genes with an extreme pattern of differential expression: only expressed in 1 condition without any expression in the other. Results—We found 229 differentially expressed genes in aneurysms versus controls and 1489 in ruptured versus unruptured aneurysms. The differential expression of all 8 genes selected for digital polymerase chain reaction validation was confirmed. Extracellular matrix pathways were enriched in aneurysms versus controls, whereas pathways involved in immune response and the lysosome pathway were enriched in ruptured versus unruptured aneurysms. Immunoglobulin genes were expressed in aneurysms, but showed no expression in controls. Conclusions—For rupture of intracranial aneurysms, we identified the lysosome pathway as a new pathway and found further evidence for the role of the immune response. Our results also point toward a role for immunoglobulins in the pathogenesis of aneurysms. Immune-modifying drugs are, therefore, interesting candidate treatment strategies in the prevention of aneurysm development and rupture. Overall design: RNA sequencing of 44 intracranial aneurysm samples (including 21 unruptured, 22 ruptured and 1 undetermined) and 16 control samples of the intracranial cortical artery
RNA Sequencing Analysis of Intracranial Aneurysm Walls Reveals Involvement of Lysosomes and Immunoglobulins in Rupture.
Sex, Age, Subject
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