This SuperSeries is composed of the SubSeries listed below.
Novel subtype-specific genes identify distinct subpopulations of callosal projection neurons.
Specimen part
View SamplesMyocardial infarction (MI) often results in left ventricular (LV) remodeling followed by heart failure (HF). It is of great clinical importance to understand the molecular mechanisms that trigger transition from compensated LV injury to HF and to identify relevant diagnostic biomarkers. In this study, we performed transcriptional profiling of LVs in rats with a wide range of experimentally induced infarct sizes and of peripheral blood mononuclear cells (PBMCs) in animals that developed HF.
Transcriptional profiling of left ventricle and peripheral blood mononuclear cells in a rat model of postinfarction heart failure.
Specimen part
View Samples3 subtypes of cortical projection neurons were purified by fluorescence-activated cell sorting (FACS) at 4 different stages of development from mouse cortex. A detailed description of the data set is described in Arlotta, P et al (2005) and Molyneaux, BJ et al (2009). The hybridization cocktails used here were originally applied to the Affymetrix mouse 430A arrays and submitted as GEO accession number GSE2039. The same hybridization cocktails were then applied to the Affymetrix mouse 430 2.0 arrays, and those data are contained in this series.
Novel subtype-specific genes identify distinct subpopulations of callosal projection neurons.
Specimen part
View SamplesThis experiment aimed to investigate whether cells that express the L-Lysine-producing enzyme lyr exhibit any mRNA changes when grown on precursor D-Lysine relative to L-Lysine.
Cell-selective labeling using amino acid precursors for proteomic studies of multicellular environments.
Cell line
View SamplesThis experiment aimed to investigate whether cells that express the L-Lysine-producing enzyme DDC exhibit any mRNA changes when grown on precursor DAP relative to L-Lysine.
Cell-selective labeling using amino acid precursors for proteomic studies of multicellular environments.
Cell line
View SamplesComparison of mRNA expression showed widespread changes in the circulating CD8+ but not CD4+ T-cells from patients with severe asthma. No changes were observed in the CD4+ and CD8+ T-cells in non-severe asthmatics versus healthy controls. Bioinformatics analysis showed that the changes in CD8+ T-cell mRNA expression were associated with multiple pathways involved in T-cell activation. As with mRNAs, we also observed widespread changes in expression of non-coding RNA species including natural antisense, pseudogenes, intronic long ncRNAs and long intergenic long ncRNAs in CD8+ T-cells from severe asthmatics. Measurement of the miRNA expression profile showed selective down-regulation of miR-28-5p in CD8+ T-cells and reduction of miR-146a and miR-146b in both CD4+ and CD8+ T-cells.
Transcriptome analysis shows activation of circulating CD8+ T cells in patients with severe asthma.
Sex, Age, Specimen part, Subject
View SamplesAnalysis of global gene expression profiles of flow cytometry-sorted, different pathogen-specific CD4+ T cell populations from the same peripheral blood mononuclear cells (PBMC), to identify molecular parameters that regulate differential susceptibilities of these CD4+ T cells to HIV infection. The results reveal distinct gene expression profiles between CMV-specific and tetanus toxoid/Candida-specific CD4+ T cells that involved selective upregulation of comprehensive innate antiviral
Distinct gene-expression profiles associated with the susceptibility of pathogen-specific CD4 T cells to HIV-1 infection.
Specimen part
View SamplesshRNAs were assessed for off-target effects by comparing the gene expression profiles of cells that they had been infected into. shRNAs designed with the shERWOOD algorithm and house in the ultramir microRNA scafold were found to have very little off targeting. Overall design: Purpose: A major detriment to RNAi is off-targeting. We wished to assess the level of off targeting of microRNA (ultramiR) housed shERWOOD shRNAs as compared to similar shRNAs in the TRC collection. Methods: 5 shRNAs targeting each of two genes were infected into the 4T1 cell line. For each gene one shRNA was selected from the TRC collection and one based on the shERWOOD algorithm. For each gene, the exrpession profiles of the corresponding shRNA infected cells were compared using RNAseq. Conclusions: Highly similar profiles were observed between shERWOOD selected shRNAs. TRC shRNAs produced profiles indicative of off-targeting.
A computational algorithm to predict shRNA potency.
No sample metadata fields
View SamplesHigh serum concentrations of kidney-derived protein uromodulin (Tamm-Horsfall protein or THP) have recently been shown to be independently associated with low mortality in both older adults and cardiac patients, but the underlying mechanism remains unclear. Here, we show that THP inhibits the generation of reactive oxygen species (ROS) both in the kidney and systemically. Consistent with this experimental data, the concentration of circulating THP in patients with surgery-induced acute kidney injury (AKI) correlated with systemic oxidative damage. THP in the serum dropped after AKI, and was associated with an increase in systemic ROS. The increase in oxidant injury correlated with post-surgical mortality and need for dialysis. Mechanistically, THP inhibited the activation of the TRPM2 channel. Furthermore, inhibition of TRPM2 in vivo in a mouse model, mitigated the systemic increase in ROS during AKI and THP deficiency. Our results suggest that THP is a key regulator of systemic oxidative stress by suppressing TRPM2 activity and our findings might help to explain how circulating THP deficiency is linked with poor outcomes and increased mortality.
Circulating uromodulin inhibits systemic oxidative stress by inactivating the TRPM2 channel.
Specimen part
View SamplesM cells are the main site of bacterial translocation in the intestine. We used the in vitro M cell model to study the effect of the commensal bacteria; Lactobacillus salivarius, Eschericha coli and Bacteroides fragilis, on M cell gene expression.
Differential intestinal M-cell gene expression response to gut commensals.
Specimen part, Treatment
View Samples