Next Generation RNA Sequencing was carried out on human paired left and right atrial appendages from patients with and without Atrial Fibrillation. EdgeR software was used to show a total of 247 genes were found to have significant differential expression between left and right atria. Overall design: Left and Right atrial appendages from 5 patients in Sinus Rhythm and 5 patients in atrial fibrillation were subjected to RNA sequencing and differential gene expression using EdgeR.
Differentially expressed genes for atrial fibrillation identified by RNA sequencing from paired human left and right atrial appendages.
Sex, Specimen part, Subject
View SamplesThe nematode Caenorhabditis elegans is an important model for studies of germ cell biology, including specification as sperm or oocyte, the meiotic cell cycle and gamete differentiation. Fundamental to those studies is a genome-level knowledge of the germline transcriptome. Here we use RNA-Seq to identify genes expressed in isolated XX gonads, which are roughly 95% germline and 5% somatic gonadal tissue. We generate data from mutants making either sperm [fem-3(q96)] or oocytes (fog-2), both grown at 22°C. Our dataset identifies a total of 10,754 mRNAs in the polyadenylated transcriptome of XX gonads, with 1,723 enriched in spermatogenic gonads, 2,869 enriched in oogenic gonads and the remaining 6,274 not enriched in either. These spermatogenic, oogenic and gender-neutral gene datasets compare well with those of earlier studies, but double the number of genes identified. We also query our RNA-Seq data for differential exon usage and find 351 mRNAs with sex-specific isoforms. We suggest that this new dataset will prove useful for studies focusing on C. elegans germ cell biology. Overall design: Comparison of spermatogenic vs oogenic transcriptomes
A new dataset of spermatogenic vs. oogenic transcriptomes in the nematode Caenorhabditis elegans.
Specimen part, Cell line, Subject
View SamplesFOG-1/CPEB and FOG-3/Tob are the terminal regulators of the sex determination in C. elegans germ cells. CPEB and Tob proteins are both translational regulators. To investigate how FOG-1 and FOG-3 regulate germ cell sex determination we sought to identify the target mRNAs. We used transgenic epitope tagged animals (3xMyc::FOG-1 and FOG-3::3xFLAG). To identify the mRNA targets of FOG-1/CPEB and FOG-3/Tob on a genome wide scale we used RNA immunoprecipitation followed by microarray analysis. We found 81 putative mRNA targets of FOG-1 and 722 putative targets of FOG-3. 76 target mRNAs were common to both FOG-1 and FOG-3.
Genomic Analyses of Sperm Fate Regulator Targets Reveal a Common Set of Oogenic mRNAs in Caenorhabditis elegans.
Specimen part
View SamplesThe molecular mechanisms of acute lung injury are incompletely understood. MicroRNAs (miRNAs) are crucial biological regulators that act by suppressing their target genes and are involved in a variety of pathophysiologic processes. MiR-127 appeared to be down-regulated during lung injury. We set out to investigate the role of miR-127 in lung injury and inflammation. Expression of miR-127 significantly reduced cytokine release by macrophages. Looking into the mechanisms of the regulation of inflammation by miR-127, we found that IgG Fc Receptor I (FcRI/CD64) was a target of miR-127, as evidenced by reduced CD64 protein expression in macrophages over-expressing miR-127. Furthermore, miR-127 significantly reduced the luciferase activity with a reporter construct containing the native 3-UTR of CD64. Importantly, we demonstrated that miR-127 attenuated lung inflammation in an IgG immune complex (IgG IC) model in vivo. Collectively, these data show that miR-127 targets macrophage CD64 expression and promotes the reduction of lung inflammation. Understanding how miRNAs regulate lung inflammation may represent an attractive way to control inflammation induced by infectious or non-infectious lung injury.
MicroRNA-127 inhibits lung inflammation by targeting IgG Fcγ receptor I.
Cell line
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Biglycan gene connects metabolic dysfunction with brain disorder.
Sex, Age, Specimen part
View SamplesTo address the functional role of MOF in mammalian X upregulation, male and female mouse ES cells were transfected with a mixture of three small interfering RNA duplexes, each of which targets a different region of Mof mRNA. We found that MOF knockdown in mouse ES cells caused a greater drop in expression of X-linked genes compared to autosomal genes, as measured by expression array analyses. The strongest effect was observed on medium-expressed X-linked genes.
Mammalian X upregulation is associated with enhanced transcription initiation, RNA half-life, and MOF-mediated H4K16 acetylation.
Specimen part, Treatment
View SamplesTo investigate the effects of gene Bgn on affecting brain dysfunction and metabolic disorders by profiling the transcripome in the liver of male Bgn_KO and wild-type (WT, litter mate) mice at 13 weeks old.
Biglycan gene connects metabolic dysfunction with brain disorder.
No sample metadata fields
View SamplesAffymetrix 430 2.0 mouse arrays were used for expression analyses in undifferentiated and differentiated PGK12.1 ES cells. We found that the X:autosome expression ratios calculated from the mean expression values of X-linked and autosomal genes from microarrays was ~1.4 in undifferentiated female ES cells and then decreased to 1.2 in PGK12.1 cells after 15-day embryoid body differentiation. Thus, a substantial level of X upregulation is already evident in these ES cells prior to differentiation.
Mammalian X upregulation is associated with enhanced transcription initiation, RNA half-life, and MOF-mediated H4K16 acetylation.
Specimen part
View SamplesMice deficient in the glucocorticoid-regenerating enzyme 11-HSD1 resist age-related spatial memory impairment. To investigate the mechanisms/pathways involved, we used microarrays to identify differentially expressed hippocampal genes that associate with cognitive ageing and 11-HSD1. Aged wild-type mice were separated into memory-impaired and unimpaired relative to young controls according to their performance in the Y-maze. All individual aged 11-HSD1-deficient mice showed intact spatial memory. The majority of differentially expressed hippocampal genes were increased with ageing (e.g. immune/inflammatory response genes) with no genotype differences. However, the neuronal-specific transcription factor, Npas4 and immediate early gene, Arc were reduced (relative to young) in the hippocampus of memory-impaired but not unimpaired aged wild-type or aged 11-HSD1-deficient mice. Quantitative RT-PCR and in situ hybridization confirmed reduced Npas4 and Arc mRNA expression in memory-impaired aged wild-type mice. These findings suggest that 11-HSD1 may contribute to the decline in Npas4 and Arc mRNA levels associated with memory impairment during ageing, and that decreased activity of synaptic plasticity pathways involving Npas4 and Arc may, in part, underlie the memory deficits seen in cognitively-impaired aged wild-type mice.
Decreased Npas4 and Arc mRNA Levels in the Hippocampus of Aged Memory-Impaired Wild-Type But Not Memory Preserved 11β-HSD1 Deficient Mice.
Age
View SamplesIdiopathic pulmonary fibrosis (IPF) is a chronic fibrosing lung disease that is difficult to diagnose and follows an unpredictable clinical course. The object of this study was to develop a predictive gene signature model of IPF from whole lung tissue. We collected whole lung samples from 11 IPF patients undergoing diagnostic surgical biopsy or transplantation. Whenever possible, samples were obtained from different lobes. Normals consisted of healthy organs donated for transplantation. We measured gene expression on microarrays. Data were analyzed by hierarchical clustering and Principal Component Analysis. By this approach, we found that gene expression was similar in the upper and lower lobes of individuals with IPF. We also found that biopsied and explanted specimens contained different patterns of gene expression; therefore, we analyzed biopsies and explants separately. Signatures were derived by fitting top genes to a Bayesian probit regression model. We developed a 153-gene signature that discriminates IPF biopsies from normal. We also developed a 70-gene signature that discriminates IPF explants from normal. Both signatures were validated on an independent cohort. The IPF Biopsy signature correctly diagnosed 76% of the validation cases (p < 0.01), while IPF Explant correctly diagnosed 78% (p < 0.001). Examination of differentially expressed genes revealed partial overlap between IPF Biopsy and IPF Explant and almost no overlap with previously reported IPF gene lists. However, several overlapping genes may provide a basis for developing therapeutic targets.
Bayesian probit regression model for the diagnosis of pulmonary fibrosis: proof-of-principle.
Sex, Age, Specimen part
View Samples