This SuperSeries is composed of the SubSeries listed below.
Multi-level omics analysis in a murine model of dystrophin loss and therapeutic restoration.
Specimen part, Treatment
View SamplesDuchenne muscular dystrophy (DMD) is a classical monogenic disorder, a model disease for genomic studies and a priority candidate for regenerative medicine and gene therapy. Although the genetic cause of DMD is well known, the molecular pathogenesis of disease and the response to therapy are incompletely understood. Here,we describe analyses of protein, mRNA and microRNA expression in the tibialis anterior of the mdx mouse model of DMD. Notably, 3272 proteins were quantifiable and 525 identified as differentially expressed in mdx muscle (P < 0.01). Therapeutic restoration of dystrophin by exon skipping induced widespread shifts in protein and mRNA expression towards wild-type expression levels, whereas the miRNome was largely unaffected. Comparison analyses between datasets showed that protein and mRNA ratios were only weakly correlated (r = 0.405), and identified a multitude of differentially affected cellular pathways, upstream regulators and predicted miRNAtarget interactions. This study provides fundamental new insights into gene expression and regulation in dystrophic muscle.
Multi-level omics analysis in a murine model of dystrophin loss and therapeutic restoration.
Specimen part, Treatment
View SamplesWe access the activity-dependent genes in olfactory neuron cells with unilateral naris occlusion model with mouse. Overall design: mRNA profile of olfactory epithelia between closed and open sides of mice naris was compared
Activity-Dependent Gene Expression in the Mammalian Olfactory Epithelium.
Specimen part, Cell line, Subject
View SamplesGenetic variation modulating risk of sporadic Parkinson's disease (PD) has been primarily explored through genome wide association studies (GWAS). However, like many other common genetic diseases, the impacted genes remain largely unknown. Here, we used single-cell RNA-seq to characterize dopaminergic (DA) neuron populations in the mouse brain at embryonic and early postnatal timepoints. These data facilitated unbiased identification of DA neuron subpopulations through their unique transcriptional profiles, including a novel postnatal neuroblast population and substantia nigra (SN) DA neurons. We use these population-specific data to develop a scoring system to prioritize candidate genes in all 49 GWAS intervals implicated in PD risk, including known PD genes and many with extensive supporting literature. As proof of principle, we confirm that the nigrostriatal pathway is compromised in Cplx1 null mice. Ultimately, this systematic approach establishes biologically pertinent candidates and testable hypotheses for sporadic PD, informing a new era of PD genetic research. Overall design: 473 single cell RNA-Seq samples from sorted mouse Th-eGFP+ dopaminergic neurons collected at two timepoints from three distinct brain regions.
Single-Cell RNA-Seq of Mouse Dopaminergic Neurons Informs Candidate Gene Selection for Sporadic Parkinson Disease.
Specimen part, Subject
View SamplesThe goal of this study was to identify candidate genes that may influence alcohol consumption by comparing gene expression in 5 brain regions of alcohol-nave iP and P.NP rats.
Candidate genes for alcohol preference identified by expression profiling in alcohol-preferring and -nonpreferring reciprocal congenic rats.
Specimen part
View SamplesA highly significant quantitative trait locus (QTL) that influenced alcohol preference was identified in the iP/iNP rats on chromosome 4.
Identification of candidate genes for alcohol preference by expression profiling of congenic rat strains.
No sample metadata fields
View SamplesPurpose: To chart the human myometrial transcriptomes before and after the onset of labour. Methods: Tophat splice junction mapping of paired-end reads, HTSeq to generate counts, cufflinks to track transcripts, DESeq, edgeR and baySeq to detect differentially expressed genes and principal component analysis for clustering analyses. Results: We mapped on average 14 million paired-end reads per sample (counting each end individually) to the human genome (build hg19) and covered the expressed transcriptome about 13 times with a TopHat-HTSeq workflow. We performed a comparative analysis with an analogous microarray study (Mittal et al., 2010) and found some overlap between the RNA-seq and the microarray data. Conclusions: Our study is the first RNA-seq study of the human myometrium before and after the onset of labour. We show that while microarray and RNA-seq studies may complement each other, RNA-seq has a much greater resolution. Overall design: At term with and at term without labour human myometrial mRNA profiles were generated by deep sequencing, using Illumina GAIIx (five biological replicates each).
Reconstruction of Cell Surface Densities of Ion Pumps, Exchangers, and Channels from mRNA Expression, Conductance Kinetics, Whole-Cell Calcium, and Current-Clamp Voltage Recordings, with an Application to Human Uterine Smooth Muscle Cells.
Specimen part, Subject
View SamplesOur lab established the M0505 cell line from the ovarian surface epithelium (OSE) of FVB/N mice in May 2005 in order to study OSE biology. This cell line spontaneously transformed into the spontaneously transformed OSE (STOSE) cell line in mid 2012.
A new spontaneously transformed syngeneic model of high-grade serous ovarian cancer with a tumor-initiating cell population.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
The tumor suppressor Hic1 maintains chromosomal stability independent of Tp53.
No sample metadata fields
View SamplesWe hypothesised that genetic inactivation of the transcriptional repressor Hic1, would lead to changes in gene expression that may lead to transformation. We assessed changes in gene expression in pre-immortal MEF cell lines in which Hic1 was inactivated compared to controls.
The tumor suppressor Hic1 maintains chromosomal stability independent of Tp53.
No sample metadata fields
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