Four different molecular classifications of muscle-invasive bladder cancer (MIBC) based on gene expression have been proposed. With the ultimate goal of utilizing these molecular subtypes for personalized treatment, we investigated their significance in the context of neoadjuvant cisplatin-based chemotherapy (NAC).
Impact of Molecular Subtypes in Muscle-invasive Bladder Cancer on Predicting Response and Survival after Neoadjuvant Chemotherapy.
Age, Disease, Disease stage, Treatment
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In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma.
Specimen part, Disease
View SamplesThe identification of deregulated microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in multiple myeloma (MM) has progressively added a further level of complexity to MM biology. In addition, the cross-regulation between lncRNAs and miRNAs has begun to emerge, and theoretical and experimental studies have demonstrated the competing endogenous RNAs (ceRNAs) activity of lncRNAs as natural miRNA decoys in pathophysiological conditions, including cancer. Currently, information concerning lncRNA and miRNA interplay in MM is virtually absent. Herein, we investigated in silico the lncRNA and miRNA relationship in a representative datasets encompassing 95 MM and 30 plasma cell leukemia patients at diagnosis and in four normal controls, whose expression profiles were generated by a custom annotation pipeline to detect specific lncRNAs. We applied target prediction analysis based on miRanda and RNA22 algorithms to 235 lncRNAs and 459 miRNAs selected with a potential pivotal role in the pathology of MM. Among pairs that showed significant correlation between lncRNA and miRNA expression levels, we identified 10 lncRNA-miRNA relationships suggestive of novel ceRNA network with relevance in MM.
In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma.
Specimen part, Disease
View SamplesThe identification of deregulated microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in multiple myeloma (MM) has progressively added a further level of complexity to MM biology. In addition, the cross-regulation between lncRNAs and miRNAs has begun to emerge, and theoretical and experimental studies have demonstrated the competing endogenous RNAs (ceRNAs) activity of lncRNAs as natural miRNA decoys in pathophysiological conditions, including cancer. Currently, information concerning lncRNA and miRNA interplay in MM is virtually absent. Herein, we investigated in silico the lncRNA and miRNA relationship in a representative datasets encompassing 95 MM and 30 plasma cell leukemia patients at diagnosis and in four normal controls, whose expression profiles were generated by a custom annotation pipeline to detect specific lncRNAs. We applied target prediction analysis based on miRanda and RNA22 algorithms to 235 lncRNAs and 459 miRNAs selected with a potential pivotal role in the pathology of MM. Among pairs that showed significant correlation between lncRNA and miRNA expression levels, we identified 10 lncRNA-miRNA relationships suggestive of novel ceRNA network with relevance in MM.
In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma.
Specimen part, Disease
View SamplesTo evaluate and characterize gene expression changes and toxicity following oral gavage administration of AMG A & AMG B in male Sprague Dawley rats.
Application of genomics for identification of systemic toxicity triggers associated with VEGF-R inhibitors.
No sample metadata fields
View SamplesAminaphtone, a drug used in the treatment of chronic venous insufficiency (CVI), showed a remarkable role in the modulation of several vasoactive factors, like endothelin-1 and adhesion molecules. We analysed in vitro the effects of Aminaphtone on whole-genome gene expression. ECV304 endothelial cells were stimulated with IL-1 100 U/ml in the presence or absence of Aminaphtone 6 g/ml. Gene expression profiles were compared at 1, 3, and 6 h after stimulation by microarray.
Gene expression profiling reveals novel protective effects of Aminaphtone on ECV304 endothelial cells.
Cell line
View SamplesIL-4d2 is a natural splice variant of IL-4 which lacks the region encoded by the second exon. Numerous recent reports suggested that the expression levels of IL-4d2 change in various diseases, especially those with pulmonary involvement, but the effects of IL-4d2 on the lungs in vivo have never been studied. Replication-deficient adenovirus-mediated gene delivery of mouse IL-4d2 to mouse lungs in vivo was used, and the effects compared with similar adenoviral delivery of mouse IL-4 or with infection with a NULL viral construct.
Alternatively spliced variants of interleukin-4 promote inflammation differentially.
Sex, Age, Specimen part
View SamplesExamining changes in expression in a mouse model of SBMA compared to WT littermates. Overall design: Mice sacrificed at 14wks of age had LABC isolated and cDNA generated and sequenced on an illumina platform.
Androgen receptor polyglutamine expansion drives age-dependent quality control defects and muscle dysfunction.
Specimen part, Subject
View SamplesThere is growing evidence that transplantation of cadaveric human islets is an effective therapy for type 1 diabetes. However, gauging the suitability of islet samples for clinical use remains a challenge. We hypothesized that islet quality is reflected in the expression of specific genes. Therefore, gene expression in 59 human islet preparations was analyzed and correlated with diabetes reversal after transplantation in diabetic mice. Analysis yielded 262 differentially expressed probesets, which together predict islet quality with 83% accuracy. Pathway analysis revealed that failing islet preparations activated inflammatory pathways, while functional islets showed increased regeneration pathway gene expression. Gene expression associated with apoptosis and oxygen consumption showed little overlap with each other or with the 262 probeset classifier, indicating that the three tests are measuring different aspects of islet cell biology. A subset of 36 probesets surpassed the predictive accuracy of the entire set for reversal of diabetes, and was further reduced by logistic regression to sets of 14 and 5 without losing accuracy. These genes were further validated with an independent cohort of 16 samples. We believe this limited number of gene classifiers in combination with other tests may provide complementary verification of islet quality prior to their clinical use.
Gene expression signature predicts human islet integrity and transplant functionality in diabetic mice.
Specimen part
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Genome-wide DNA methylation and gene expression analyses of monozygotic twins discordant for intelligence levels.
Specimen part
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