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accession-icon GSE3185
Human Glioblastoma
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Summary: Astrocytomas can be categorized as either low grade or high grade (glioblastoma). Low grade astrocytomas are not generally aggressive tumors whereas glioblastomas are and in turn have a high mortality rate. The purpose of this experiment is to identify genetic differences between the two types.

Publication Title

Overexpression of the EGFR/FKBP12/HIF-2alpha pathway identified in childhood astrocytomas by angiogenesis gene profiling.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE66052
Disruption of histone methylation in developing sperm impairs offspring health transgenerationally
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Disruption of histone methylation in developing sperm impairs offspring health transgenerationally.

Sample Metadata Fields

Specimen part

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accession-icon GSE66050
Disruption of histone methylation in developing sperm impairs offspring health transgenerationally [sperm]
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

A fathers lifetime experiences can be transmitted to his offspring to affect

Publication Title

Disruption of histone methylation in developing sperm impairs offspring health transgenerationally.

Sample Metadata Fields

Specimen part

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accession-icon SRP163643
Inherent DNA binding specificities of the HIF-1a and HIF-2a transcription factors in chromatin (RNA-seq)
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Hypoxia inducible factor (HIF) is the major transcriptional regulator of cellular responses to hypoxia. The two principal HIF-a isoforms, HIF-1a and HIF-2a, are progressively stabilized in response to hypoxia and form heterodimers with HIF-1b to activate a broad range of transcriptional responses. Here we report on the pan-genomic distribution of isoform-specific HIF binding in response to hypoxia of varying severity and duration, and in response to genetic ablation of each HIF-a isoform. Our findings reveal that, despite an identical consensus recognition sequence in DNA, each HIF heterodimer loads progressively at a distinct repertoire of cell-type specific sites across the genome, with little evidence of redistribution under any of the conditions examined. Marked biases towards promoter proximal binding of HIF-1 and promoter distant binding of HIF-2 were observed under all conditions and were consistent in multiple cell type. The findings imply that each HIF isoform has an inherent property that determines its binding distribution across the genome, which might be exploited to therapeutically target the specific transcriptional output of each isoform independently. Overall design: RNA_seq analysis of hypoxic gene regulation in HKC8 and HepG2 cell lines and in RCC4 cell lines stably transfected with wtVHL

Publication Title

Hypoxia drives glucose transporter 3 expression through hypoxia-inducible transcription factor (HIF)-mediated induction of the long noncoding RNA NICI.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE4757
Alzheimers disease: neurofibrillary tangles (Rogers-3U24NS043571-01S1)
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Alzheimer's Disease (AD) is a devastating neurodegenerative disorder affecting approximately 4 million people in the U.S. alone. AD is characterized by the presence of senile plaques and neurofibrillary tangles in cortical regions of the brain. These pathological markers are thought to be responsible for the massive cortical neurodegeneration and concomitant loss of memory, reasoning, and often aberrant behaviors that are seen in patients with AD. Understanding the molecular mechanisms whereby these histopathological markers develop will greatly enhance our understanding of AD development and progression. A clearer understanding of the mechanisms underlying neurofibrillary tangle formation specifically may help to clarify the basis for dementia of AD as well as the dementias associated with other diseases that are collectively referred to as "tauopathies."

Publication Title

Gene expression correlates of neurofibrillary tangles in Alzheimer's disease.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE136958
Microarray profiling of in vitro expanded FRCs cultured alone or with activated T cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To investigate whether FRCs express molecules capable of promoting the functions of activated T cells, we expanded FRCs from primary lymph node stromal cell (LNSC) cultures as previously described (Lukacs-Kornek et al., Nature Immunology, 2011), and then cultured them alone or with splenocytes activated with soluble antibody (0.25μg/ml) against CD3 (anti-CD3) and anti-CD28 for 16 hours. FRCs co-cultured with activated T cells upregulated expression of genes encoding molecules known to dampen T cell function such as Arg1, CD274 and Nos2. However, in response to activated T cells, FRCs also upregulated molecules with immunostimulatory capabilities such as Icosl, Cd40 and Il6.

Publication Title

Fibroblastic reticular cells enhance T cell metabolism and survival via epigenetic remodeling.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP171933
Bulk RNA-Seq profiling of progenitor exhausted (Slamf6+Tim-3-) and terminally exhausted (Slamf6-Tim-3+) CD8+ T-cells from tumors and chronic viral infection
  • organism-icon Mus musculus
  • sample-icon 54 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Transcriptionally similar subpopulations of exhausted CD8+ T-cells are found in chronic viral infection and tumors Overall design: RNA-seq analysis of progenitor exhausted and terminally exhausted CD8+ T-cells isolated from spleens of mice chronically infected with LCMV Clone 13 (day 30 post-infection) or isolated from B16-ova tumors (day 22 post tumor implantation), with or without anti-PD-1 treatment

Publication Title

Subsets of exhausted CD8<sup>+</sup> T cells differentially mediate tumor control and respond to checkpoint blockade.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP169562
10X single-cell RNASeq profiling of tumor-infiltrating CD8+ T-cells from B16-OVA mouse melanoma tumors
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Distinct populations of progenitor exhausted (Tcf1+Tim-3-) and terminally exhausted (Tcf1-Tim-3+) CD8+ T-cells occur in B16-OVA tumors Overall design: Profiling of CD8+ T-cells from day 10 and day 20 B16-OVA mouse melanoma tumors

Publication Title

Subsets of exhausted CD8<sup>+</sup> T cells differentially mediate tumor control and respond to checkpoint blockade.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE14465
Impact of anti-inflammatory agents on the gene expression profile of stimulated human neutrophils
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Adenosine, prostaglandin E2, or increased intracellular cyclic AMP concentration each elicit potent anti-inflammatory events in human neutrophils by inhibiting functions such as phagocytosis, superoxide production, adhesion and cytokine release. However, the endogenous molecular pathways mediating these actions are poorly understood. In the present study, we examined their impact on the gene expression profile of stimulated neutrophils. We have identified a set of genes that may be part of important resolution pathways that interfere with cell activation. Identification of these pathways will improve understanding of the capacity of tissues to terminate inflammatory responses and contribute to the development of therapeutic strategies based on endogenous resolution

Publication Title

Impact of anti-inflammatory agents on the gene expression profile of stimulated human neutrophils: unraveling endogenous resolution pathways.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE42057
Peripheral blood mononuclear cell gene expression in chronic obstructive pulmonary disease
  • organism-icon Homo sapiens
  • sample-icon 135 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Expression data were generated on 136 subjects from the COPDGene study using Affymetrix microarrays. Multiple linear regression with adjustment for covariates (gender, age, body mass index, family history, smoking status, pack years) was used to identify candidate genes and Ingenuity Pathway Analysis was used to identify candidate pathways.

Publication Title

Peripheral blood mononuclear cell gene expression in chronic obstructive pulmonary disease.

Sample Metadata Fields

Sex, Specimen part

View Samples
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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)

fund-icon Fund the CCDL

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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