This SuperSeries is composed of the SubSeries listed below.
Endometrial-peritoneal interactions during endometriotic lesion establishment.
No sample metadata fields
View SamplesThe pathophysiology of endometriotic lesion development remains unclear but involves a complex interaction between ectopic endometrium and host peritoneal tissues. We hypothesised that disruption of this interaction was likely to suppress endometriotic lesion formation. We hoped to delineate the molecular and cellular dialogue between ectopic human endometrium and peritoneal tissues in nude mice, as a first step towards testing this hypothesis. Human endometrium was xenografted into nude mice and the resulting lesions were analysed using microarrays. A novel technique was developed that unambiguously determined whether RNA transcripts identified by the microarray analyses originated from human cells (endometrium) or mouse cells (stroma). Four key pathways (ubiquitin/proteosome, inflammation, tissue remodelling/repair and ras-mediated oncogenesis) were revealed, that demonstrated communication between host stromal cells and ectopic endometrium.
Endometrial-peritoneal interactions during endometriotic lesion establishment.
No sample metadata fields
View SamplesThe pathophysiology of endometriotic lesion development remains unclear but involves a complex interaction between ectopic endometrium and host peritoneal tissues. We hypothesised that disruption of this interaction was likely to suppress endometriotic lesion formation. We hoped to delineate the molecular and cellular dialogue between ectopic human endometrium and peritoneal tissues in nude mice, as a first step towards testing this hypothesis. Human endometrium was xenografted into nude mice and the resulting lesions were analysed using microarrays. A novel technique was developed that unambiguously determined whether RNA transcripts identified by the microarray analyses originated from human cells (endometrium) or mouse cells (stroma). Four key pathways (ubiquitin/proteosome, inflammation, tissue remodelling/repair and ras-mediated oncogenesis) were revealed, that demonstrated communication between host stromal cells and ectopic endometrium.
Endometrial-peritoneal interactions during endometriotic lesion establishment.
No sample metadata fields
View SamplesLong non-coding RNAs (lncRNAs) are a diverse category of transcripts with poor conservation and have expanded greatly in primates, particularly in their brain. We identified a lncRNA, which has acquired 16 microRNA response elements (MREs) for miR-143-3p in the Catarrhini branch of primates. This lncRNA termed LncND (neuro-development) gets expressed in neural progenitor cells and then declines in mature neurons. Binding and release of miR-143-3p, by LncND, can control the expression of Notch. Its expression is highest in radial glia cells in the ventricular and outer subventricular zones of human fetal brain. Down-regulation of LncND in neuroblastoma cells reduced cell proliferation and induced neuronal differentiation, an effect phenocopied by miR-143-3p over-expression and supported by RNA-seq analysis. These findings support a role for LncND in miRNA-mediated regulation of Notch signaling in the expansion of the neural progenitor pool of primates and hence contributing to the rapid growth of the cerebral cortex. Overall design: Cerebral organoids were generated as in Lancaster et al. (Lancaster and Knoblich, 2014). Organoids were dissociated into single cells and captured on C1 Single-Cell Auto Prep Integrated Fluidic Circuit (IFC) (Fluidigm). The RNA extraction and amplification was performed on the chip as described by the manufacturer. We captured 68 single-cells on a C1 Single-Cell Auto Prep System (Fluidigm) and sequenced the RNA on a NextSeq500 System (Illumina) (Pollen et al., 2014). Out of 68 cells, we obtained 60 high quality cells.
A Primate lncRNA Mediates Notch Signaling during Neuronal Development by Sequestering miRNA.
No sample metadata fields
View SamplesLong non-coding RNAs (lncRNAs) are a diverse category of transcripts with poor conservation and have expanded greatly in primates, particularly in their brain. We identified a lncRNA, which has acquired 16 microRNA response elements (MREs) for miR-143-3p in the Catarrhini branch of primates. This lncRNA termed LncND (neuro-development) gets expressed in neural progenitor cells and then declines in mature neurons. Binding and release of miR-143-3p, by LncND, can control the expression of Notch. Its expression is highest in radial glia cells in the ventricular and outer subventricular zones of human fetal brain. Down-regulation of LncND in neuroblastoma cells reduced cell proliferation and induced neuronal differentiation, an effect phenocopied by miR-143-3p over-expression and supported by RNA-seq analysis. These findings support a role for LncND in miRNA-mediated regulation of Notch signaling in the expansion of the neural progenitor pool of primates and hence contributing to the rapid growth of the cerebral cortex. Overall design: SHSY5Y cells treated either with miR-143-3p mimic or 100 nM of siRNA specific for LncND were sequenced on NextSeq500 platform. Scrambled siRNA or miRNA sequences were used as a negative control.
A Primate lncRNA Mediates Notch Signaling during Neuronal Development by Sequestering miRNA.
No sample metadata fields
View SamplesUnder defined differentiation conditions human embryonic stem cells (hESCs) can be directed toward a mesendodermal (ME) or neuroectoderm (NE) fate, the first decision during hESC differentiation. Coupled with G1 lengthening a divergent ciliation pattern emerged within the first 24 hours of induced lineage specification and these changes heralded a neuroectoderm decision before any neural precursor markers were expressed. By day 2, increased ciliation in NE precursors induced autophagy that resulted in the inactivation of Nrf2. Nrf2 binds directly to upstream regions of the OCT4 and NANOG genes to promote their expression and represses NE derivation. Nrf2 suppression was sufficient to rescue poorly neurogenic iPSC lines. Only after these events have been initiated do neural precursor markers get expressed at day 4. Thus we have identified a primary cilium-autophagy-Nrf2 (PAN) axis coupled to cell cycle progression that directs hESCs toward NE. Overall design: Transcriptome analysis of hESC-derived neuroectoderm and mesendoderm cells
Primary Cilium-Autophagy-Nrf2 (PAN) Axis Activation Commits Human Embryonic Stem Cells to a Neuroectoderm Fate.
No sample metadata fields
View SamplesPatients with inflammatory lung diseases are often additionally exposed to polycyclic aromatic hydrocarbons like B[a]P and B[a]P-induced alterations in gene expression in these patients may contribute to the development of lung cancer. Mice were intra-nasally treated with lipopolysaccharide (LPS, 20 g/mouse) to induce pulmonary inflammation and subsequently exposed to B[a]P (0.5 mg/mouse) by intratracheal instillation
Altered gene expression profiles in the lungs of benzo[a]pyrene-exposed mice in the presence of lipopolysaccharide-induced pulmonary inflammation.
Sex, Age, Specimen part
View SamplesTGFbeta is the major cytokine driver of fibrosis in the kidney and other tissue. Epithelial-mesenchymal transition has been postulated to contibrute to renal fibrosis in diseases such as diabetic nephropathy.
Next-generation sequencing identifies TGF-β1-associated gene expression profiles in renal epithelial cells reiterated in human diabetic nephropathy.
Cell line, Time
View SamplesTGF-beta1 is the major cytokine driver of fibrotic scarring observed in diabetic nephropathy and other fibrosis-related diseases. RNA-sequencing offers the potential for more sensitive assessment of the TGF-ß1-driven transcriptome. Overall design: There were two treatment groups: vehicle, 48 hr TGFb1. Each treatment was carried out in triplicate. Upon quality control assessment, one TGFß1 treated sample was excluded from further analyses, leaving 3 unstimulated and 2 TGFß1 samples.
Next-generation sequencing identifies TGF-β1-associated gene expression profiles in renal epithelial cells reiterated in human diabetic nephropathy.
No sample metadata fields
View SamplesZebrafish is a model system being used in a variety of basic research and biomedical studies. Understanding the neurotranscriptomic architecture will greatly facilitate and enhance interpretation of research projects. Studies have reported that there are strain and sex-specific behavioral variation particulary in response to stress and anxiety-inducing scenarios. Capitalizing on previously documented behavioral variation by strains and sex of zebrafish, this study seeks to understand the neurotranscriptomic mechanisms potentially underlying this variation. Through RNA-sequencing (4 biological replicates per strain further subdivided into 2 biological replicates per sex) we analyzed the whole-brain transcriptomic profiles of four strains of zebrafish and relate transcriptional differences to phenotypic differences (e.g. behavioral or morphological) of the strains. Using a balanced block design, all 16 samples were multiplexed and run across 16 lanes on an Illumina GAIIx. Resulting reads (approximately 52 million reads per biological replicate) were aligned to the Zv9 genome build. We subsequently performed differential gene expression analysis and weighted gene coexpression network analysis to identify genes and gene networks associated with a phenotype. The goal of the study is to identify neurotranscriptomic mechanisms underlying phenotypic (e.g. morphological, behavioral) variation in zebrafish. Overall design: Through RNA-sequencing we quantified whole-brain transcriptome levels of protein-coding genes for four strains of zebrafish (AB, Scientific Hatcheries, High Stationary Behavior, and Low Stationary Behavior). Each line has 4 biological replicates (2 biological replicates for each sex). Each biological replicate is comprised of a pool of 10 same-sex and age-matched individuals. Using a balanced block design, the samples were mulitplexed and run across 16 lanes on an Illumina GAIIx. Reads that passed default quality control filters were aligned using GSNAP and quantified with HTSEQ. We used edgeR and WGCNA for subsequent differential gene expression and network analyses. qRT–PCR validation was performed using SYBR Green assays
Neurotranscriptome profiles of multiple zebrafish strains.
No sample metadata fields
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