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accession-icon GSE41608
Chromatin Remodeling Enzyme Smarca5/Snf2h Regulates Cell Cycle Exit, Differentiation of the Lens Epithelium, and Denucleation of Lens Fiber Cells
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Genome-wide approach to identify the cell-autonomous role of Snf2h in lens fiber cell terminal differentiation. Differential gene expression was analyzed in Snf2h lens-conditional knockout and wildtype newborn mouse eyeballs, with subsequent comparison of this data with the Brg1 lens-conditional knockout mouse eyes expression data (GSE25168).

Publication Title

Chromatin remodeling enzyme Snf2h regulates embryonic lens differentiation and denucleation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE45747
Weight loss after gastric bypass surgery in human obesity induces promoter methylation
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219), Illumina Genome Analyzer IIx

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Weight loss after gastric bypass surgery in human obesity remodels promoter methylation.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE45745
Gene expression profiling in skeletal muscle before and after GBP surgery
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx, Affymetrix Human Genome U219 Array (hgu219)

Description

Profiling of gene expression in Vastus Lateralis from female patients before and after GBP surgery and from lean Control

Publication Title

Weight loss after gastric bypass surgery in human obesity remodels promoter methylation.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE102828
Global gene expression profiling of cardiac dendritic cells subsets
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Innate and adaptive immune cells modulate heart failure pathogenesis during viral myocarditis, yet their identity and functions remain poorly defined. In this study we characterized the phenotype, life-cycle and function of different conventional dendritic cells (cDC) populations in the heart, with focus on the 2 major subsets (CD103+ and CD11b+), which differentially rely on local proliferation and precursor recruitment to maintain tissue residency. Following viral infection of the myocardium, cDCs accumulate in the heart coincident with monocyte infiltration and loss of resident reparative embryonic-derived cardiac macrophages. cDC depletion abrogates antigen-specific CD8+ T cell proliferative expansion, transforming subclinical cardiac injury to overt heart failure. Importantly, these effects are mediated by BATF3-dependent CD103+ cDCs. Collectively, our findings definitively identify resident cardiac cDC subsets, define their origins, and implicate an essential role for CD103+ cDCs in antigen-specific T cell responses during viral myocarditis.

Publication Title

A CD103<sup>+</sup> Conventional Dendritic Cell Surveillance System Prevents Development of Overt Heart Failure during Subclinical Viral Myocarditis.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE64886
Effect of Traumatic Brain Injury, Erythropoietin and Anakinra on Hepatic Metabolizing Enzymes and Transporters in an Experimental Rodent Model
  • organism-icon Rattus norvegicus
  • sample-icon 50 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

In contrast to the considerable in vitro and in vivo data demonstrating a decrease in cytochrome P450 (CYP) activity in inflammation and infection, clinically, traumatic brain injury (TBI) results in an increase in CYP and UDP glucuronosyltransferases (UGT) activity. The objective of this study was to determine the effects of TBI alone and along with treatment with either erythropoietin (EPO) or anakinra on gene expression of hepatic inflammatory proteins and drug metabolizing enzymes and transporters in a cortical contusion impact (CCI) injury animal model. Microarray-based transcriptional profiling was used to determine the effect on gene expression at 24 h, 72 h and 7 days post-CCI.

Publication Title

Effect of Traumatic Brain Injury, Erythropoietin, and Anakinra on Hepatic Metabolizing Enzymes and Transporters in an Experimental Rat Model.

Sample Metadata Fields

Sex, Specimen part, Treatment, Time

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accession-icon SRP035307
Differentiation state-specific mitochondrial dynamic regulatory networks are revealed by global transcriptional analysis of the developing chicken lens.
  • organism-icon Gallus gallus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

The mature eye lens contains a surface layer of epithelial cells called the lens epithelium that require a functional mitochondrial population to maintain the homeostasis and transparency of the entire lens. The lens epithelium overlies a core of terminally differentiated fiber cells that must degrade their mitochondria to achieve lens transparency. These distinct mitochondrial populations make the lens a useful model system to identify those genes that regulate the balance between mitochondrial homeostasis and elimination. Here we used an RNA sequencing and bioinformatics approach to identify the transcript levels of all genes expressed by distinct regions of the lens epithelium and maturing fiber cells of the embryonic Gallus gallus (chicken) lens. Our analysis detected over 15,000 unique transcripts expressed by the embryonic chicken lens. Of these, over 3000 transcripts exhibited significant differences in expression between lens epithelial cells and fiber cells. Multiple transcripts coding for separate mitochondrial homeostatic and degradation mechanisms were identified to exhibit preferred patterns of expression in lens epithelial cells that require mitochondria relative to lens fiber cells that require mitochondrial elimination. These included differences in the expression levels of metabolic, autophagy, and mitophagy transcripts between lens epithelial cells and lens fiber cells. These data provide a comprehensive window into all genes transcribed by the lens and those mitochondrial regulatory and degradation pathways that function to maintain mitochondrial populations in the lens epithelium and to eliminate mitochondria in maturing lens fiber cells. Overall design: Differentiation-state transcriptional analysis of embryonic chicken lenses was performed following microdissection of 100 embryonic day 13 (E13) chicken lenses into four distinct regions that represent a continuum of lens cell differentiation states: lens central epithelium (EC), equatorial epithelium (EQ), cortical fibers (FP), and central fibers (FC). Further analysis of the transcriptional content of biologically replicate samples was performed by Illumina directional mRNA sequencing and resulting reads mapped by TopHat and assembled with Cufflinks.

Publication Title

Differentiation state-specific mitochondrial dynamic regulatory networks are revealed by global transcriptional analysis of the developing chicken lens.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE14352
Genome Wide Analysis of Immune Activation in Human T and B Cells Reveals Distinct Classes of Alternatively Spliced Genes
  • organism-icon Homo sapiens
  • sample-icon 78 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Alternative splicing of pre-mRNA is a mechanism that increases the protein diversity of a single gene by differential exon inclusion during post-transcriptional processing. While alternative splicing is established to occur during lymphocyte activation, little is known about the role it plays during the immune response. Our study is among the first reports of a systematic genome-wide analysis using whole exon DNA microarrays integrating alternative splicing and differential gene expression. Purified human CD2+ T or CD19+ B cells were activated using protocols to model the early events in post-transplant allograft immunity and sampled as a function of time during the process of immune activation. Here we show that 3 distinct classes of alternatively spliced and/or differentially expressed genes change in an ordered manner as a function of immune activation. We mapped our results to function-based canonical pathways and demonstrated that some are populated by only one class of genes, like integrin signaling, while other pathways, such as purine metabolism and T cell receptor signaling, are populated by all three classes of genes. Our studies augment the current view of T and B cell activation in immunity that has been based exclusively upon differential gene expression by providing evidence for a large number of molecular networks populated as a function of time and activation by alternatively spliced genes, many of which are constitutively expressed.

Publication Title

Genome-wide analysis of immune activation in human T and B cells reveals distinct classes of alternatively spliced genes.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP014809
Persistent androgen receptor-mediated transcription in castration-resistant prostate cancer under androgen-deprived conditions
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon

Description

The androgen receptor (AR) is a ligand-inducible transcription factor that mediates androgen action in target tissues. Upon ligand binding, the AR binds to thousands of genomic loci and activates a cell-type specific gene program. Prostate cancer growth and progression depend on androgen-induced AR signalling. Treatment of advanced prostate cancer through medical or surgical castration leads to initial response and durable remission, but resistance inevitably develops. In castration-resistant prostate cancer (CRPC), AR activity remains critical for tumor growth despite androgen deprivation. While previous studies have focused on ligand-dependent AR signalling, in this study we explore AR function under the androgen-deprived conditions characteristic of CRPC. Our data demonstrate that the AR persistently occupies a distinct set of genomic loci after androgen deprivation in CRPC. These androgen-independent AR occupied regions have constitutively open chromatin structures that lack the canonical androgen response element and are independent of FoxA1, a transcription factor involved in ligand-dependent AR targeting. Many AR binding events occur at proximal promoters, which can act as enhancers to augment transcriptional activities of other promoters through DNA looping. We further show that androgen-independent AR binding directs a distinct gene expression program in CRPC, which is necessary for the growth of CRPC after androgen withdrawal. Overall design: LNCaP, C4-2B, or 22RV1 cells were cultured in hormone-free media for 3 days and then treated with ethanol vehicle or DHT (10nM) for 4h or 16h prior to ChIP-seq or RNA-seq assays. For siRNA transfection, cells were transfected with AR siRNA or control siRNA for 3 days prior to RNA-seq assays.

Publication Title

Androgen receptor-mediated downregulation of microRNA-221 and -222 in castration-resistant prostate cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE2413
Timecourse of Gene Expression responses to cAMP in S49 Cells
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Abstract

Publication Title

Gene expression patterns define key transcriptional events in cell-cycle regulation by cAMP and protein kinase A.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE24223
Deconvoluting Early Post-Transplant Immunity Using Purified Cell Subsets Reveals Functional Networks Not Evident by Whole Blood Analysis
  • organism-icon Homo sapiens
  • sample-icon 179 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In this study we employed transcriptome mRNA profiling of whole blood and purified CD4, CD8 T cells, B cells and monocytes in tandem with high-throughput flow cytometry in 10 kidney transplant patients sampled serially pre-transplant, 1, 2, 4, 8 and 12 weeks. We then mechanistically deconvoluted the early post-transplant immune response. The flow cytometry data confirms depletion of specific cell subsets in response to ATG induction and immunosuppression with sustained decreases in CD4 as well as CD8 cell subsets. A series of T cell activation markers were expressed from Pre-Tx to 12 weeks indicating the evolution of immunity including expansion of CD45RO+CD62L- effector memory cells. Serial whole blood transcript monitoring demonstrated over 2000 differentially expressed genes, with over 80 percent down-regulated Post-Tx. However, cell subset analysis revealed a unique spectrum of subset-specific gene expression with time-dependent changes, with contrasting significant Post-Tx gene upregulation. Our results provide a unique view of the complex evolution of immune/inflammatory molecular networks marking the early post transplant immune response. A critical finding is that analysis of the constituent blood cell subsets provides an entirely new level of detail revealing the nature of this process, effectively deconvoluting the changes that are otherwise lost in the noise of cellular complexity of whole blood.

Publication Title

Deconvoluting post-transplant immunity: cell subset-specific mapping reveals pathways for activation and expansion of memory T, monocytes and B cells.

Sample Metadata Fields

Time

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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