Diclofenac (DCL) is a non-steroidal anti-inflammatory drug. Its use can be associated with serious adverse drug reactions most notable myocardial infarction and drug-induced liver injury (DILI). The molecular causes leading to DILI remains unclear and it seems to be multifactorial. The aims of this study is to identify the molecular mechanisms involving immune mediated inflammatory reactions and its link to DILI through whole genome gene expression profiling. Diclofenac was given to mice at 30 mg/kg for 1, 3 and 14 days. Microarray experiments were performed with RNA extracts from liver samples. The performed gene expression studies showed >600 significantly regulated genes after single and repeated dosing for 3 and 14 days. The functional annotation revealed several genes were regulated in common coding for inflammatory, immune, stress and acute-phase responses. Immunohistochemistry, qRT-PCR as well as Western blotting were performed to evidence the regulation of key molecules in affected livers. In conclusion, the present study provides evidence for a mechanism of diclofenac induced liver injury that involves pro-inflammatory cytokine and acute phase responses.
Immunogenomics reveal molecular circuits of diclofenac induced liver injury in mice.
Treatment
View SamplesThe activation of endothelium by tumor cells is one of the main steps by tumor metastasis. The role of the blood components (platelets and leukocytes) in this process remain unclear.
Selectin-mediated activation of endothelial cells induces expression of CCL5 and promotes metastasis through recruitment of monocytes.
Specimen part
View SamplesIn response to UVB irradiation, human keratinocytes transiently block cell cycle progression to allow ample time for DNA repair and cell fate determination. These cellular processes are important for evading the initiation of carcinogenesis in skin. We previously showed that repression of mRNA translation initiation through phosphorylation of eIF2a (eIF2a-P) protects keratinocytes from UVB-induced apoptosis. In this study, we elucidate the mechanism of eIF2a-P cytoprotection in response to UVB. Loss of eIF2a-P induced by UVB diminished G1 arrest, DNA repair rate, and cellular senescence coincident with enhanced cell death in human keratinocytes. Genome-wide translation analyses revealed that the mechanism for these critical changes directed by eIF2a-P involved induced expression of CDKN1A encoding p21 protein. p21 is a major regulator of the cell cycle, and we show that human CDKN1A mRNA splice variant 4 is preferentially translated by eIF2a-P during stress in a mechanism mediated in part by upstream ORFs situated in the 5'-leader of CDKN1A mRNA. We conclude that eIF2a-P is cytoprotective in response to UVB by a mechanism featuring translation of a specific splice variant of CDKN1A that facilitates G1 arrest and subsequent DNA repair. Overall design: Untreated and irradiated N-TERT keratinocytes are split into 3 groups: monosome fraction, polysome fraction, and whole cell lysate. N=3.
Translational control of a human <i>CDKN1A</i> mRNA splice variant regulates the fate of UVB-irradiated human keratinocytes.
Specimen part, Cell line, Treatment, Subject
View SamplesUnderstanding the structure and interplay of cellular signalling pathways is one of the great challenges in molecular biology. Boolean Networks can infer signalling networks from observations of protein activation. In situations where it is difficult to assess protein activation directly, Nested Effect Models are an alternative. They derive the network structure indirectly from downstream effects of pathway perturbations. To date, Nested Effect Models cannot resolve signalling details like the formation of signalling complexes or the activation of proteins by multiple alternative input signals. Here we introduce Boolean Nested Effect Models (B-NEM). B-NEMs combine the use of downstream effects with the higher resolution of signalling pathway structures in Boolean Networks. We show that B-NEMs accurately reconstruct signal flows in simulated data. Using B-NEM we then resolve BCR signalling via PI3K and TAK1 kinases in BL2 lymphoma cell lines.
Analyzing synergistic and non-synergistic interactions in signalling pathways using Boolean Nested Effect Models.
Specimen part, Cell line, Treatment
View SamplesIdentification of genes up or down regulated in LPS stimulated samples in comparison to control samples.
Genomic data integration using guided clustering.
Specimen part, Cell line, Treatment
View SamplesExpression profile for hemocytes from hml-Gal4, UAS-2xEGFP larvae were compared to hemocytes from hml-Gal4, UAS-2xEGFP; UAS-Idh-R195H larvae
Genetic dissection of leukemia-associated IDH1 and IDH2 mutants and D-2-hydroxyglutarate in Drosophila.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Molecular classification of mature aggressive B-cell lymphoma using digital multiplexed gene expression on formalin-fixed paraffin-embedded biopsy specimens.
Sex, Age, Specimen part, Disease
View SamplesThe most frequent mature aggressive B-cell lymphomas are diffuse large B-cell lymphoma (DLBCL) and Burkitt lymphoma (BL). Patients suffering from molecularly defined BL (mBL) but treated with a regimen developed for DLBCL show an unfavorable outcome compared to mBL treated with chemotherapy regimens for BL. Distinguishing BL from DLBCL by conventional histopathology is challenging in lymphomas that have features common to both diseases (aggressive B-cell lymphoma unclassifiable with features of DLBCL and BL [intermediates]). Moreover, DLBCL are a heterogeneous group of lymphomas comprising distinct molecular subtypes: the activated B-cell (ABC)-like, the germinal center B-cell-like (GCB) and the unclassifyable subtype as defined by gene expression profiling (GEP). Attempts to replace GEP with techniques applicable to formalin-fixed paraffin-embedded (FFPE) tissue led to algorithms for immunohistochemical stainings (IHS). Disappointingly, the algorithms yielded conflicting results with respect to their prognostic potential, raising concerns about their validity. Furthermore, IHS algorithms did not provide a fully resolved classification: They did not identify mBL; nor did they separate ABC from unclassified DLBCL.
Molecular classification of mature aggressive B-cell lymphoma using digital multiplexed gene expression on formalin-fixed paraffin-embedded biopsy specimens.
Sex, Age, Specimen part
View SamplesIn the present study, we sought to understand the impact of obesity/metabolic disease (high-fat induced) on spinal cord injury (SCI) by examining transcriptome. Adult, male Long Evans rats received either thoracic level contusion of the spinal cord or sham laminectomy and then were allowed to recover on normal rat chow for 4 weeks and further on HFD for an additional 8 weeks. Spinal cord tissues harvested from the rats were processed for Affymetrix microarray and further transcriptomic analysis.
Chronic spinal cord changes in a high-fat diet-fed male rat model of thoracic spinal contusion.
Sex, Specimen part
View SamplesGastrocnemius muscle biopsies were obtained from 15 health older adults without peripheral artery disease (PAD), 20 PAD patients with intermittent claudication, and 16 patients with critical limb ischemia undergoing limb amputation. Gene expression analysis was performed using RNA sequencing analysis. Overall design: Examination of gene expression differences across the clinical spectrum of PAD (healthy vs. claudicant vs. critical limb ischemia)
Extensive skeletal muscle cell mitochondriopathy distinguishes critical limb ischemia patients from claudicants.
Specimen part, Disease, Subject
View Samples