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accession-icon SRP090729
RNA-Seq Analysis of Dose-Dependent TCDD-Elicited Duodenal Gene Expression in Male Mice
  • organism-icon Mus musculus
  • sample-icon 54 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Dose-dependent duodenal gene expression was examined following repeated exposure (every 4 days for 28 days) to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). These data were used to examine the effect of repeated TCDD exposure on gene expression in the intestinal epithelium of C57BL/6 male mice. Overall design: Three biological replicates for each dose (0.01, 0.03, 0.1, 0.3, 1, 3, 10, 30) of TCDD and sesame oil vehicle

Publication Title

Convergence of hepcidin deficiency, systemic iron overloading, heme accumulation, and REV-ERBα/β activation in aryl hydrocarbon receptor-elicited hepatotoxicity.

Sample Metadata Fields

Sex, Specimen part, Cell line, Treatment, Subject

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accession-icon SRP090688
RNA-Seq Analysis of Dose-Dependent TCDD-Elicited Hepatic Gene Expression in Male Mice
  • organism-icon Mus musculus
  • sample-icon 54 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Dose-dependent hepatic gene expression was examined following repeated exposure (every 4 days for 28 days) to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). These data were used to examine the effect of repeated TCDD exposure on gene expression in the liver of C57BL/6 male mice. Overall design: Three biological replicates for each dose (0.01, 0.03, 0.1, 0.3, 1, 3, 10, 30) of TCDD and sesame oil vehicle

Publication Title

Convergence of hepcidin deficiency, systemic iron overloading, heme accumulation, and REV-ERBα/β activation in aryl hydrocarbon receptor-elicited hepatotoxicity.

Sample Metadata Fields

Sex, Specimen part, Cell line, Treatment, Subject

View Samples
accession-icon GSE1297
Incipient Alzheimer's Disease: Microarray Correlation Analyses
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

For these data, we analyzed hippocampal gene expression of nine control and 22 AD subjects of varying severity on 31 separate microarrays. We then tested the correlation of each gene's expression with MiniMental Status Examination (MMSE) and neurofibrillary tangle (NFT) scores across all 31 subjects regardless of diagnosis. These tests revealed a major transcriptional response comprising thousands of genes significantly correlated with AD markers. Several hundred of these genes were also correlated with AD markers across only control and incipient AD subjects (MMSE > 20).

Publication Title

Incipient Alzheimer's disease: microarray correlation analyses reveal major transcriptional and tumor suppressor responses.

Sample Metadata Fields

Sex, Age

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accession-icon SRP154186
Single cell RNA sequencing of primary-isolated erythroid progenitors [Days 1-3]
  • organism-icon Mus musculus
  • sample-icon 576 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

single cell RNA sequencing of freshly isolated mouse BFU-E (burst forming unit-erythroid ) cells cultured for 1, 2, or 3 days with and without 100nM dexamethasone Overall design: six 96 well plates

Publication Title

Rate of Progression through a Continuum of Transit-Amplifying Progenitor Cell States Regulates Blood Cell Production.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon SRP154147
Single cell RNA sequencing of primary-isolated erythroid progenitors [BFUE, CFUE, intermediates]
  • organism-icon Mus musculus
  • sample-icon 96 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Single cell RNA sequencing of freshly isolated mouse burst forming unit-erythroid (BFU-E) , colony forming unit-erythroid (CFU-E), and intermediate stages of erythroid development cells. Overall design: One 96 well plate with 24 BFU-E, 24 CFU-E, 24 cells with 25-35% expression of CD71/CD24, and 24 cells with 50-60% expression of CD71/CD24.

Publication Title

Rate of Progression through a Continuum of Transit-Amplifying Progenitor Cell States Regulates Blood Cell Production.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP154149
Single cell RNA sequencing of primary-isolated erythroid progenitors [daughter cells]
  • organism-icon Mus musculus
  • sample-icon 52 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Single cell mouse BFU-E (burst forming unit-erythroid ) were FACS-deposited into individual wells of a 96-well plate containing PCM either with or without 100 nM dexamethasone. After 16hrs cells from wells that contained a single pair of daughter cells were separated and each individual daughter cell transcriptome was obtained by single cell RNA-seq. Overall design: 13 daughter cells pairs untreated and 13 pairs treated with 100 nM dexamethasone.

Publication Title

Rate of Progression through a Continuum of Transit-Amplifying Progenitor Cell States Regulates Blood Cell Production.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

View Samples
accession-icon SRP187073
Single cell RNA sequencing of primary-isolated erythroid progenitors [BFUEs_Set2]
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Single cell RNA sequencing of freshly isolated mouse burst forming unit-erythroid (BFU-E). Overall design: One 96 well plate with 24 BFU-E.

Publication Title

Rate of Progression through a Continuum of Transit-Amplifying Progenitor Cell States Regulates Blood Cell Production.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE19944
MicroRNAs and gene expression profiles of rapamycin sensitive and resistant myogenic tumor cell line
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Reprogramming of the microRNA transcriptome mediates resistance to rapamycin.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE19885
Gene expression data from rapamycin resistant and sensitive cell lines
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The mammalian target of rapamycin (mTOR) is a central regulator of cell proliferation. Inhibitors of mTOR are being evaluated as anti-tumor agents. Given the emerging role of microRNAs (miRNAs) in tumorgenesis we hypothesized that miRNAs could play important roles in the response of tumors to mTOR inhibitors. Rapamycin resistant myogenic cells developed by long-term rapamycin treatment showed extensive reprogramming of miRNAs expression, characterized by up-regulation of the mir-17~92 and related clusters and down-regulation of tumor-suppressor miRNAs. Antagonists of oncogenic miRNA families and mimics of tumor suppressor miRNAs (let-7) restored rapamycin sensitivity in resistant tumor cells. This study identified miRNAs as new downstream components of the mTOR-signaling pathway, which may determine the response of tumors to mTOR inhibitors.

Publication Title

Reprogramming of the microRNA transcriptome mediates resistance to rapamycin.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE56480
Developmental stage specificity of transcriptional, biochemical and CO2 efflux responses of leaf dark respiration to growth of Arabidopsis thaliana at elevated [CO2]
  • organism-icon Arabidopsis thaliana
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Plant respiration responses to elevated growth [CO2] are key uncertainties in predicting future crop and ecosystem function. In particular, the effects of elevated growth [CO2] on respiration over leaf development are poorly understood. This study tested the prediction that, due to greater whole-plant photoassimilate availability and growth, elevated [CO2] induces transcriptional reprogramming and a stimulation of nighttime respiration in leaf primordia, expanding leaves, and mature leaves of Arabidopsis thaliana. In primordia, elevated [CO2] altered transcript abundance, but not for genes encoding respiratory proteins. In expanding leaves, elevated [CO2] induced greater glucose content and transcript abundance for some respiratory genes, but did not alter respiratory CO2 efflux. In mature leaves, elevated [CO2] led to greater glucose, sucrose and starch content, plus greater transcript abundance for many components of the respiratory pathway, and greater respiratory CO2 efflux. Therefore, growth at elevated [CO2] stimulated dark respiration only after leaves transitioned from carbon sinks into carbon sources. This coincided with greater photoassimilate production by mature leaves under elevated [CO2] and peak respiratory transcriptional responses. It remains to be determined if biochemical and transcriptional responses to elevated [CO2] in primordial and expanding leaves are essential prerequisites for subsequent alterations of respiratory metabolism in mature leaves.

Publication Title

Developmental stage specificity of transcriptional, biochemical and CO2 efflux responses of leaf dark respiration to growth of Arabidopsis thaliana at elevated [CO2].

Sample Metadata Fields

No sample metadata fields

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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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