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accession-icon GSE25014
Gene expression data of endothelium exposed to heme
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Sickle cell disease is characterized by hemolysis, vaso-occlusion and ischemia reperfusion injury. These events cause endothelial dysfunction and vasculopathies in multiple systems

Publication Title

Global gene expression profiling of endothelium exposed to heme reveals an organ-specific induction of cytoprotective enzymes in sickle cell disease.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE77861
African American esophageal squamous cell carcinoma expression profile reveals loss of detox networks
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Esophageal carcinoma is the third most common gastrointestinal malignancy worldwide and is generally unresponsive to therapy. African Americans have an increased risk for esophageal squamous cell cancer (ESCC), the subtype that shows marked variation in geographic frequency. To identify key genes involved in ESC carcinogenesis in African Americans we conducted microarray expression profiling and found a significant dysregulation of genes encoding stress response and drug-metabolizing enzymes, mainly in NRF2 pathway. The involvement of NRF2 mediated oxidative damage represent a key step in the evolution of African American ESCC. Loss of activity of these enzymes would confer increased sensitivity of esophageal cells to xenobiotics, such as alcohol and tobacco smoke, and may account for the high incidence of ESCC in this ethnic group. The differential expression profile also indicates an inflammatory component and tissue regeneration in ESCC tumorigenesis. Together, these findings suggest a remarkable interplay of genetic and environmental factors in the pathogenesis of African American ESCC.

Publication Title

African-American esophageal squamous cell carcinoma expression profile reveals dysregulation of stress response and detox networks.

Sample Metadata Fields

Race

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accession-icon GSE51073
Expression data from non-pigmented and pigmented mouse melanocytes
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Immortalized, amelanotic melanocytes isolted from skin of Balb/c express enzymatically-inactive tyrosinase due to a homozygous point mutation (TGT->TCT) in tyrosinase gene, resulting in a lack of melanin . To serve as a control cell line, pigmentation was restored in these cells by correcting the point mutation using an RNA-DNA oligonucleotide (kingly gift from Dr. Alexeev Y. Vitali).

Publication Title

Melanocyte-secreted fibromodulin promotes an angiogenic microenvironment.

Sample Metadata Fields

Specimen part

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accession-icon GSE65616
RUNX1 and RUNX2 responsiveness in MCF7 breast cancer cells: relationship to estrogen signaling
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Comparative analysis of RUNX1 and RUNX2 responsiveness in the presence or absence of E2

Publication Title

RUNX1 prevents oestrogen-mediated AXIN1 suppression and β-catenin activation in ER-positive breast cancer.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE65620
Effect of RUNX1 depletion in MCF7 breast cancer cells in the presence or absence of Estradiol
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Effect of RUNX1 depletion in the presence or absence of Estradiol

Publication Title

RUNX1 prevents oestrogen-mediated AXIN1 suppression and β-catenin activation in ER-positive breast cancer.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE56868
Integration of growth and patterning during vascular tissue formation in Arabidopsis
  • organism-icon Arabidopsis thaliana
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Arabidopsis Gene 1.0 ST Array (aragene10st)

Description

Coordination of cell division and pattern formation is central to tissue and organ development, and is particularly important in plants where walls prevent cell migration. Auxin and cytokinin are both critical for division and patterning, but it is unknown how these hormones converge to control tissue development. Here, we identify a genetic network that reinforces an early embryonic bias in auxin distribution to create a local, non-responding cytokinin source within the root vascular tissue. We provide experimental and theoretical evidence that these cells act as a local tissue organizer by positioning the domain of oriented cell divisions. We further demonstrate that the auxin-cytokinin interaction acts as a spatial incoherent feed forward loop, which is essential to generate distinct hormonal response zones, thus establishing a stable pattern within a growing vascular tissue.

Publication Title

Plant development. Integration of growth and patterning during vascular tissue formation in Arabidopsis.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE59336
Identification of odorant receptors activated by odorants in vivo
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Odorants are thought to activate sets of odorant receptors in vivo, but capturing sets of responsive receptors in vivo has never been accomplished.

Publication Title

In vivo identification of eugenol-responsive and muscone-responsive mouse odorant receptors.

Sample Metadata Fields

Specimen part

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accession-icon GSE40648
Effect of simulated microgravity on E. coli K12 MG1655 growth and gene expression
  • organism-icon Escherichia coli str. k-12 substr. mg1655
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

This study demonstrates simulated microgravity effects on E. coli K 12 MG1655 when grown on LB medium supplemented with glycerol. The results imply that E. coli readily reprograms itself to combat the multiple stresses imposed due to microgravity. Under these conditions it survives by upregulating oxidative stress protecting genes and simultaneously down regulating the membrane transporters and synthases to maintain cell homeostasis.

Publication Title

Effect of simulated microgravity on E. coli K12 MG1655 growth and gene expression.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP004456
Temporal response of DCs to LPS stimulation: 4sU_sequencing
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Regulation of RNA levels is critical for the response to external stimuli and determined through the interplay between RNA production, processing and degradation. Despite the centrality of these processes, most global studies of RNA regulation do not distinguish their separate contributions and relatively little is known about how they are temporally integrated. Here, we combine metabolic labeling of RNA with advanced RNA quantification assays and computational modeling to estimate RNA transcription and degradation during the response of immune dendritic cells (DCs) to pathogens, a critical and tightly regulated step in innate immunity. We find that transcription regulation plays a major role in shaping most temporal changes in RNA levels, but that changes in degradation rate are important for shaping sharp ‘peaked’ responses. We find that transcription changes precede corresponding RNA changes by a small lag (15-30 min), which is shorter for induced than for repressed genes. Massively parallel sequencing of the entire RNA population – including non-polyadenylated transcripts – allows us to estimate RNA processing, and identify specific groups of transcripts, mostly cytokines and transcription factors, undergoing enhanced mRNA maturation. This suggests an additional role for splicing in regulating mRNA maturation. Our method provides a new quantitative approach to study key steps in the integrative process of RNA regulation. Overall design: Sequencing of 4sU-labeled RNA taken from a 7 samples time-series (one sample every 1 hour) during the response of DCs to LPS stimulation. 4-thiouridine was added 45 minutes prior to sample collection. Data presented here for six timepoints: 0, 1, 3-6 hrs. 2hr timepoint not included.

Publication Title

Metabolic labeling of RNA uncovers principles of RNA production and degradation dynamics in mammalian cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP075720
Smart-seq2 analysis of P17 FACS sorted retinal cells from the Kcng4-cre;stop-YFP X Thy1-stop-YFP Line#1 mice
  • organism-icon Mus musculus
  • sample-icon 381 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Four Kcng4-cre;stop-YFP mouse retinas from two mice were dissected, dissociated and FACS sorted, and single cell RNA-seq libraries were generated for 384 single cells using Smart-seq2. Aligned bam files are generated for 383 samples as one failed to align. Overall design: Four mouse retinas (labeled 1la, 1Ra, and 2la, 2Ra respective from the two mice) were used, and 96 single cells from each were processed using Smart-seq2. Total 384 cells Smart-seq2 analysis of P17 FACS sorted retinal cells from the Kcng4-cre;stop-YFP mice (Kcng4tm1.1(cre)Jrs mice [Duan et al., Cell 158, 793-807, 2015] crossed to the cre-dependent reporter Thy1-stop-YFP Line#1 [Buffelli et al., Nature 424, 430-434, 2003])

Publication Title

Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics.

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)

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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