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accession-icon GSE25846
Expression data from IL-10+ and IL-10- CD8 T cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

IL-10 is an anti-inflammatory cytokine that has been shown to be produced by antigen-specific CD8 T cells at the peak of viral encephalitis. We found that IL-10+CD8 T cells are more activated and cytolytic than IL-10-CD8 T cells.

Publication Title

Highly activated cytotoxic CD8 T cells express protective IL-10 at the peak of coronavirus-induced encephalitis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP003764
Quantitative and qualitative RNA-seq based evaluation of Epstein-Barr virus transcription in type I latency Burkitt's lymphoma cells
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

RNASeq was used to evaluate the Epstein-Barr virus transcriptome. A pipeline was developed for the analysis of EBV specific transcripts and applied to EBV positive Burkitt's lymphoma cells exhibiting type I latency. PolyA fractions of whole cell RNA was sequenced using 74b single-end reads on an Illumina GA2x machine.

Publication Title

Quantitative and qualitative RNA-Seq-based evaluation of Epstein-Barr virus transcription in type I latency Burkitt's lymphoma cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE64536
STAT3 knockdown during transformation
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

siSTAT3 knockdown of a tamoxifen initiated, transformation inducible, breast cancer model system (MCF10A-ER-Src), with associated controls of EtOH and siNEG treatments.

Publication Title

STAT3 acts through pre-existing nucleosome-depleted regions bound by FOS during an epigenetic switch linking inflammation to cancer.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE17969
Effects of Hfe-/- and dietary iron overload on gene expression in the liver and duodenum of mice
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIllumina mouse-6 v1.1 expression beadchip

Description

Iron is an essential trace element whose absorption is usually tightly regulated in the duodenum. HFE-related hereditary hemochromatosis (HH) is characterized by abnormally low expression of the iron-regulatory hormone, hepcidin, which results in increased iron absorption. The liver is crucial for iron homeostasis as it is the main production site of hepcidin. The aim of this study was to explore and compare the genome-wide transcriptome response to Hfe deficiency and dietary iron overload in murine liver and duodenum.

Publication Title

Global transcriptional response to Hfe deficiency and dietary iron overload in mouse liver and duodenum.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE12306
Gene expression profiles of the intralobular and interlobular fibroblast populations within the human breast
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The normal growth and function of mammary epithelial cells depend on interactions with the supportive stroma. Alterations in this communication can lead to the progression or expansion of malignant growth. The human mammary gland contains two distinctive types of fibroblasts within the stroma. The epithelial cells are surrounded by loosely connected intralobular fibroblasts, which are subsequently surrounded by the more compacted interlobular fibroblasts. The different proximity of these fibroblasts to the epithelial cells suggests distinctive functions for these two subtypes. In this report, we compared the gene expression profiles between the two stromal subtypes.

Publication Title

Interlobular and intralobular mammary stroma: genotype may not reflect phenotype.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE40215
shRNA knockdown of the transcription factor NF-YA (NFYA)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

NF-Y, a trimeric transcription factor (TF) composed of two histone-like subunits (NF-YB (NFYB) and NF-YC (NFYC)) and a sequence-specific subunit (NF-YA), binds to the CCAAT motif, a common promoter element. Genome-wide mapping reveals 5,000-15,000 NF-Y binding sites depending on the cell type, with the NF-YA and NF-YB subunits binding asymmetrically with respect to the CCAAT motif. Despite being characterized as a proximal promoter TF, only 25% of NF-Y sites map to promoters. A comparable number of NF-Y sites are located at enhancers, many of which are tissue specific, and nearly half of NF-Y sites are in select subclasses of HERV LTR repeats. Unlike most TFs, NF-Y can access its target DNA motif in inactive (non-modified) or polycomb-repressed chromatin domains. Unexpectedly, NF-Y extensively co-localizes with FOS in all genomic contexts, and at promoters and enhancers this often occurs in the absence of JUN and the AP-1 motif. NF-Y also co-associates with a select cluster of growth-controlling and oncogenic TFs, consistent with the abundance of CCAAT motifs in the promoters of genes overexpressed in cancer. Interestingly, NF-Y and several growth-controlling TFs bind in a stereo-specific manner, suggesting a mechanism for cooperative action at promoters and enhancers. Our results indicate that NF-Y is not merely a commonly-used, proximal promoter TF, but rather performs a more diverse set of biological functions, many of which are likely to involve co-association with FOS.

Publication Title

NF-Y coassociates with FOS at promoters, enhancers, repetitive elements, and inactive chromatin regions, and is stereo-positioned with growth-controlling transcription factors.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE11590
Expression data from prepubertal and adult derived porcine oocytes
  • organism-icon Sus scrofa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Oocyte developmental potential is progressively obtained as females approach puberty. Therefore, oocytes derived from prepubertal females are less developmentally competent, indicated by decreased embryonic development, compared to oocytes derived from adult females.

Publication Title

Alterations in the transcriptome of porcine oocytes derived from prepubertal and cyclic females is associated with developmental potential.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP198486
High-throughput sequence analysis of peripheral T-cell lymphomas indicates subtype specific viral gene expression patterns and immune cell microenvironments
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Certain peripheral T-cell lymphomas (PTCLs) have been associated with viral infection, particularly infection with Epstein-Barr virus (EBV). However, a comprehensive virome analysis across PTCLs has not previously been reported, and viral gene expression profiles have been studied only in certain PTCL subtypes. In this study we utilized published RNA-seq data sets from seven different PTCL studies as well as new RNA-seq data from our laboratory to screen for virus association, to analyze viral gene expression, and to assess B- and T-cell receptor diversity paradigms across these tumor types. In addition to identifying EBV in angioimmunoblastic T-cell lymphoma (AITL) and extranodal NK/T cell lymphoma (ENKTL), two PTCL subtypes with well-established EBV associations, we also detected EBV in several cases of anaplastic large cell lymphoma (ALCL), and we found evidence of infection by the oncogenic viruses KSHV and HTLV-1 in isolated PTCL cases. In AITLs, EBV gene expression analysis showed expression of immediate early, early and late lytic genes, suggesting either abortive lytic replication and/or productive infection in a subset of the EBV infected infiltrating B-lymphocytes. Deconvolution of immune cell subpopulations demonstrated a greater B-cell signal in AITLs than in other PTCL subtypes, consistent with a larger role for B-cell support in the pathogenesis of AITL. T-cell receptor (TCR) and B-cell receptor (BCR) repertoires reconstructed from RNA-seq data demonstrated increased BCR diversity in AITLs, consistent with a possible EBV-driven polyclonal response. These findings indicate potential alternative roles for EBV in PTCLs in addition to the canonical oncogenic mechanisms associated with EBV latent infection. The findings also suggest the involvement of other viruses in T-cell lymphoma pathogenesis and demonstrate immunological alterations associated with these cancers. Overall design: RNA sequencing of five extranodal NK/T-cell lymphoma (ENKTL)-derived cell lines

Publication Title

High-Throughput Sequence Analysis of Peripheral T-Cell Lymphomas Indicates Subtype-Specific Viral Gene Expression Patterns and Immune Cell Microenvironments.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE35723
Analysis of striatal transcriptome in transgenic mice overexpressing human wild-type alpha-synuclein
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Alpha synuclein (SNCA) has been linked to neurodegenerative diseases (synucleinopathies) that include Parkinsons disease (PD). Although the primary neurodegeneration in PD involves nigrostriatal dopaminergic neurons, more extensive yet regionally selective neurodegeneration is observed in other synucleinopathies. Furthermore, SNCA is ubiquitously expressed in neurons and numerous neuronal systems are dysfunctional in PD. Therefore it is of interest to understand how overexpression of SNCA affects neuronal function in regions not directly targeted for neurodegeneration in PD. To gain a better understanding of the consequences of excessive SNCA expression on basal ganglia function, we performed transcriptome analysis of striatal tissue from male Thy1-aSyn-mice and wt littermates. The present study investigated the consequences of SNCA overexpression on cellular processes and functions in the striatum of mice overexpressing wild-type, human SNCA under the Thy1 promoter (Thy1-aSyn mice) by transcriptome analysis. The analysis revealed alterations in multiple biological processes in the striatum of Thy1-aSyn mice, including synaptic plasticity, signaling, transcription, apoptosis, and neurogenesis.

Publication Title

Analysis of striatal transcriptome in mice overexpressing human wild-type alpha-synuclein supports synaptic dysfunction and suggests mechanisms of neuroprotection for striatal neurons.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon SRP071930
Global transcript structure resolution of high gene density genomes through multi-platform data integration: deepCAGE
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

deepCAGE was used in conjunction with Pacific Biosciences Iso-Seq and Illumina RNA-Seq to globally resolve transcript structures in replicating Epstein-Barr virus. Overall design: deepCAGE of replicating Epstein-Barr virus in Akata cells to identify transcript 5'' ends

Publication Title

Global transcript structure resolution of high gene density genomes through multi-platform data integration.

Sample Metadata Fields

Specimen part, Subject

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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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Developed by the Childhood Cancer Data Lab

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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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