The transcriptomes of four subpopulations of beta cells isolated by FACS from five healthy human donors. Populations were defined using cell surface-labeling antibodies, avoiding the need for fixation. Overall design: There are 5 biological replicates of 4 different cell types. Each donor yielded all 4 subtypes.
Human islets contain four distinct subtypes of β cells.
Specimen part, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Altering TET dioxygenase levels within physiological range affects DNA methylation dynamics of HEK293 cells.
Specimen part, Cell line, Treatment
View SamplesWe compared TET1 and TET3 overexpressing cells to uninduced cells with endogenous levels of the respective transcript to determine global gene expression changes.
Altering TET dioxygenase levels within physiological range affects DNA methylation dynamics of HEK293 cells.
Specimen part, Treatment
View SamplesWe compared TET triple knockdown cells to control cells treated with non-targeting siRNAs to determine global gene expression changes.
Altering TET dioxygenase levels within physiological range affects DNA methylation dynamics of HEK293 cells.
Cell line, Treatment
View SamplesIn the analysis of peripheral blood gene expression, timely processing of samples is essential to ensure that measurements reflect in vivo biology, rather than ex vivo sample processing variables. The effect of processing delays on global gene expression patterns in peripheral blood mononuclear cells (PBMC) was assessed by isolating and stabilizing PBMC-derived RNA from three individuals either immediately after phlebotomy or following a 4 hour delay. RNA was labeled using NuGEN Ovation labeling and probed using the Affymetrix HG U133plus 2.0 GeneChip. Comparison of gene expression levels (p<0.05 and 2-fold expression change) identified 327 probe sets representing genes with increased expression and 46 indicating decreased expression after 4 hours. The trends in expression patterns associated with delayed processing were also apparent in an independent set of 276 arrays of RNA from human PBMC samples with varying processing times. These data indicate that the time between sample acquisition, initiation of processing, and when the RNA is stabilized should be a prime consideration when designing protocols for translational studies involving PBMC gene expression analysis.
Gene Expression Profiles from Peripheral Blood Mononuclear Cells Are Sensitive to Short Processing Delays.
Specimen part, Subject, Time
View SamplesObjective. To identify gene expression differences in peripheral blood from patients with early and late onset juvenile idiopathic arthritis (JIA).
Biologic similarities based on age at onset in oligoarticular and polyarticular subtypes of juvenile idiopathic arthritis.
Sex, Specimen part, Race
View SamplesSystemic juvenile idiopathic arthritis (SJIA) is a chronic childhood arthropathy with features of autoinflammation. Early inflammatory SJIA is associated with expansion and activation of neutrophils with a sepsis-like phenotype, but neutrophil phenotypes present in longstanding and clinically inactive disease (CID) are unknown. The objective of this study was to examine activated neutrophil subsets, S100 alarmin release, and gene expression signatures in children with a spectrum of SJIA disease activity. Methods: Highly-purified neutrophils were isolated using a two-step procedure of density-gradient centrifugation followed by magnetic-bead based negative selection prior to flow cytometry or cell culture to quantify S100 protein release. Whole transcriptome gene expression profiles were compared in neutrophils from children with both active SJIA and CID. Results: Patients with SJIA and active systemic features demonstrated a higher number of CD16+CD62Llo neutrophil population compared to controls. This neutrophil subset was not seen in patients with CID or patients with active arthritis not exhibiting systemic features. Using imaging flow cytometry, CD16+CD62Llo neutrophils from patients with active SJIA and features of macrophage activation syndrome (MAS) had increased nuclear hypersegmentation compared to CD16+CD62L+ neutrophils. Serum levels of S100A8/A9 and S100A12 were strongly correlated with peripheral blood neutrophil counts. Neutrophils from active SJIA patients did not show enhanced resting S100 protein release; however, regardless of disease activity, neutrophils from SJIA patients did show enhanced S100A8/A9 release upon PMA stimulation compared to control neutrophils. Furthermore, whole transcriptome analysis of highly purified neutrophils from children with active SJIA identified 214 differentially expressed genes compared to neutrophils from healthy controls. The most significantly upregulated gene pathway was Immune System Process, including AIM2, IL18RAP, and NLRC4. Interestingly, this gene set showed intermediate levels of expression in neutrophils from patients with long-standing CID yet persistent serum IL-18 elevation. Indeed, all patient samples regardless of disease activity demonstrated elevated inflammatory gene expression, including inflammasome components and S100A8. Conclusion: We identify features of neutrophil activation in SJIA patients with active disease and CID, including a proinflammatory gene expression signature, reflecting persistent innate immune activation. Taken together, these studies expand understanding of neutrophil function in chronic autoinflammatory disorders such as SJIA. Overall design: Highly purified neutrophils isolated from patients with SJIA and healthy controls
Neutrophils From Children With Systemic Juvenile Idiopathic Arthritis Exhibit Persistent Proinflammatory Activation Despite Long-Standing Clinically Inactive Disease.
Specimen part, Disease, Disease stage, Subject
View SamplesExpression profiling of hepatocytes-derived ductal cells with properties intermediate between mature hepatocytes and cholangiocytes Overall design: Chimeric adult mice were generated where mature hepatocytes were marked with a fluorescent red marker. Chronic injury was induced for ~6weeks and three cell types were isolated by FACS (Influx, BD) for expression analysis by RNAseq based on cell surface phenotype and origin: hepatocytes (n=3), hepatocyte-derived oval cells (1c3+, n=5), and cholangiocyte-derived oval cells (1c3+, n=5).
Bipotential adult liver progenitors are derived from chronically injured mature hepatocytes.
No sample metadata fields
View SamplesWe used wild-type 129 mice to understand the mechanism of action behind SRT3025’s hematopoiesis-enhancing effect. Transcriptome analysis of cKit+ Sca1+ Lin- cells (KSL) cells discovered that a list of genes changed their expression levels significantly after SRT3025 administration in wild-type mice. Most notably, the cell cycle regulator p21 was down-regulated by 2.1 fold after SRT3025 administration. It is possible that the transcriptional suppression of p21 by SRT3025 might contribute to the compound’s beneficial effects on hematopoiesis. It has to be pointed out that, since our transcriptome analysis was limited to hematopoietic stem and progenitor cell population, we cannot rule out the possibility that SRT3025 works through the regulation of other cells such as certain important HSC niche components. The HSC niche is known to regulate stem cell pool size. Among the other genes suppressed by SRT3025, Thbs1 and Fosl2 encode thrombospondin 1 and Fos-like antigen 2, respectively. Both proteins are components of the HSC niche. Overall design: The goal of this study is to investigate gene expression changes in wild-type 129 mice in response to SRT3025 treatment. The study focuses on bone marrow cKit+ Sca1+ Lin- cells (representing hematopoietic stem and progenitor cells). These cells were sorted twice by FACS to ensure the purity. Cells of interest were collected in Trizol. RNA were isolated using RNAeasy mini prep kit and mRNAs were positively selected using oligo(dT)- Dynobeads. Then RNAseq libraries were then made using Illumina TruSeq RNA Sample Prep Kit and sequeced on an Illumina HiSeq 2000 genome analyzer.
The Sirt1 activator SRT3025 expands hematopoietic stem and progenitor cells and improves hematopoiesis in Fanconi anemia mice.
No sample metadata fields
View SamplesThe Drosha-DGCR8 complex (Microprocessor) is required for microRNA (miRNA) biogenesis. DGCR8 contains two double-stranded RNA binding motifs that recognize the RNA substrate, whereas Drosha functions as the endonuclease. We have used high-throughput sequencing of RNAs isolated by crosslinking immunoprecipitation (HITS-CLIP) to identify endogenous RNA targets of DGCR8 in mammalian cells. Unexpectedly, miRNAs were not the most abundant targets. DGCR8-bound RNAs comprised several hundred mRNAs as well as snoRNAs and long non-coding RNAs. We found that DGCR8 together with Drosha controls the abundance of several mRNAs, as well as long non-coding RNAs, such as MALAT-1. By contrast, the DGCR8-mediated cleavage of snoRNAs is independent of Drosha, suggesting the involvement of DGCR8 in cellular complexes with other endonucleases. Interestingly, binding of DGCR8 to cassette exons, acts as a novel mechanism to regulate the relative abundance of alternatively spliced isoforms. Collectively, these data provide new insights in the complex role of DGCR8 in controlling the fate of several classes of RNAs. Overall design: Comparison of RNAs associated to both endogenous (D8) and overexpressed (T7) DGCR8 in HEK293T cells
Drosha regulates gene expression independently of RNA cleavage function.
Cell line, Subject
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