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accession-icon GSE98277
High-Throughput Drug Screening identifies Pazopanib and Clofilium tosylate as effective treatments for malignant rhabdoid tumors
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

We used microarrays to compared gene re-expression of SMARCB1 in I2A SMARCB1-deficient rhabdoid tumor cell line.

Publication Title

High-Throughput Drug Screening Identifies Pazopanib and Clofilium Tosylate as Promising Treatments for Malignant Rhabdoid Tumors.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE50682
Genome-wide transcription profile of CpG-activated peritoneal macrophages
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To compare up-regulation of genes following CpG activation, we performed microarray analysis of activated macrophages from B6 and F1(B6xMOLF) mouse strains. Cells were activated for 0, 2 and 4 hrs with 200nM of type B CpG. Levels of mRNA for many genes differened dramatically between the strains

Publication Title

Mannose receptor 1 mediates cellular uptake and endosomal delivery of CpG-motif containing oligodeoxynucleotides.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE32670
Time-course effect of estradiol and estradiol-BSA on early gene expression
  • organism-icon Homo sapiens
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Early membrane initiated transcriptional effects of estrogens in breast cancer cells: First pharmacological evidence for a novel membrane estrogen receptor element (ERx).

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE32668
Time-course effect of estradiol and estradiol-BSA on early gene expression in MDA-MB-231 cells
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Estrogens have been reported to activate several processes via membrane binding to either classic estrogen receptors (ERs) or GPR30. We have used either estradiol or BSA-conjugated estradiol in order to initiate membrane-initiated actions and ICI 172,780 (ICI) or G15 to explore ER- and GPR30-related transcription. Our results show that the majority of G15-inhibited transcription is depending on ERs, as it is also inhibited by ICI. However, a small number of transcripts, related to specific actions/pathways is either exclusively inhibited by G15, providing evidence about a specific GPR30 signature, or not inhibited by ICI or G15 suggesting the existence of another, yet unidentified estrogen receptor.

Publication Title

Early membrane initiated transcriptional effects of estrogens in breast cancer cells: First pharmacological evidence for a novel membrane estrogen receptor element (ERx).

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE32666
Time-course effect of estradiol and estradiol-BSA on early gene expression in T47D cells
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Estrogens have been reported to activate several processes via membrane binding to either classic estrogen receptors (ERs) or GPR30. We have used either estradiol or BSA-conjugated estradiol in order to initiate membrane-initiated actions and ICI 172,780 (ICI) or G15 to explore ER- and GPR30-related transcription. Our results show that the majority of G15-inhibited transcription is depending on ERs, as it is also inhibited by ICI. However, a small number of transcripts, related to specific actions/pathways is either exclusively inhibited by G15, providing evidence about a specific GPR30 signature, or not inhibited by ICI or G15 suggesting the existence of another, yet unidentified estrogen receptor.

Publication Title

Early membrane initiated transcriptional effects of estrogens in breast cancer cells: First pharmacological evidence for a novel membrane estrogen receptor element (ERx).

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE32669
Time-course effect of estradiol and estradiol-BSA on early gene expression in SKBR3 cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Estrogens have been reported to activate several processes via membrane binding to either classic estrogen receptors (ERs) or GPR30. We have used either estradiol or BSA-conjugated estradiol in order to initiate membrane-initiated actions and ICI 172,780 (ICI) or G15 to explore ER- and GPR30-related transcription. Our results show that the majority of G15-inhibited transcription is depending on ERs, as it is also inhibited by ICI. However, a small number of transcripts, related to specific actions/pathways is either exclusively inhibited by G15, providing evidence about a specific GPR30 signature, or not inhibited by ICI or G15 suggesting the existence of another, yet unidentified estrogen receptor.

Publication Title

Early membrane initiated transcriptional effects of estrogens in breast cancer cells: First pharmacological evidence for a novel membrane estrogen receptor element (ERx).

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE32667
Time-course effect of estradiol and estradiol-BSA on early gene expression in MCF-7 cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Estrogens have been reported to activate several processes via membrane binding to either classic estrogen receptors (ERs) or GPR30. We have used either estradiol or BSA-conjugated estradiol in order to initiate membrane-initiated actions and ICI 172,780 (ICI) or G15 to explore ER- and GPR30-related transcription. Our results show that the majority of G15-inhibited transcription is depending on ERs, as it is also inhibited by ICI. However, a small number of transcripts, related to specific actions/pathways is either exclusively inhibited by G15, providing evidence about a specific GPR30 signature, or not inhibited by ICI or G15 suggesting the existence of another, yet unidentified estrogen receptor.

Publication Title

Early membrane initiated transcriptional effects of estrogens in breast cancer cells: First pharmacological evidence for a novel membrane estrogen receptor element (ERx).

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon SRP045678
Heritable variation of mRNA decay rates in yeast
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Gene expression levels are determined by the balance between rates of mRNA transcription and decay, and genetic variation in either of these processes can result in heritable differences in transcript abundance. Although the genetics of gene expression has been the subject of intense interest, the contribution of heritable variation in mRNA decay rates to gene expression variation has received far less attention. To this end, we developed a novel statistical framework and measured allele-specific differences in mRNA decay rates in a diploid yeast hybrid created by mating two genetically diverse parental strains. In total, we estimate that 31% of genes exhibit allelic differences in mRNA decay rate, of which 350 can be identified at a false discovery rate of 10%. Genes with significant allele-specific differences in mRNA decay rate have higher levels of polymorphism compared to other genes, with all gene regions contributing to allelic differences in mRNA decay rate. Strikingly, we find widespread evidence for compensatory evolution, such that variants influencing transcriptional initiation and decay having opposite effects, suggesting steady-state gene expression levels are subject to pervasive stabilizing selection. Our results demonstrate that heritable differences in mRNA decay rates are widespread, and are an important target for natural selection to maintain or fine-tune steady-state gene expression levels. Overall design: We measured rates of allele-specific mRNA decay (ASD) in a diploid yeast produced by mating two genetically diverse haploid Saccharomyces cerevisiae strains: the laboratory strain BY4716 (BY), which is isogenic to the reference sequence strain S288C, and the wild Californian vineyard strain RM11-1a (RM). Briefly, we introduced rpb1-1, a temperature sensitive mutation in an RNA polymerase II subunit, to each of the haploid yeast strains, mated the strains, and grew the resulting hybrid diploid to mid-log phase at 24 °C, before rapidly shifting the culture to 37 °C to inhibit transcription. RNA-seq was performed on culture samples taken at 0, 6, 12, 18, 24, and 42 minutes subsequent to the temperature shift. To identify ASD, we used transcribed polymorphisms to distinguish between parental transcripts, and compared the relative levels of transcript abundance over the time course. Note, this experimental design internally controls for trans-acting regulatory variation as well as environmental factors. Under the null hypothesis of no ASD, the proportion of reads from the BY transcript (p_BY = N_BY / (N_BY + N_RM)) observed over the time course remains unchanged. However, genes with ASD will exhibit an increasing or decreasing proportion of BY reads as a function of time. In total, we measured ASD from three independent biological replicates.

Publication Title

Heritable variation of mRNA decay rates in yeast.

Sample Metadata Fields

Disease, Cell line, Subject

View Samples
accession-icon GSE7831
Expression data from immature pDC and pDC activated with CpG 1826 and influenza virus PR8
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

CpG 1826 binds to Toll-like receptor (TLR)9, whereas influenza virus PR8 activates pDC via TLR7. Differential stimulation of pDCs is expected to result in unique activation mechanism(s) leading to a different phenotypically and functionally matured pDC

Publication Title

Two distinct activation states of plasmacytoid dendritic cells induced by influenza virus and CpG 1826 oligonucleotide.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE22107
Responses of fully proliferating Arabidopsis leaves to short-term osmotic stress
  • organism-icon Arabidopsis thaliana
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Drought is an important environmental factor affecting plant growth and biomass production. Despite this importance little is known on the molecular mechanisms regulating plant growth under water limiting conditions. The main goal of this work was to investigate, using a combination of growth and molecular profiling techniques, how stress arrests CELl proliferation in Arabidopsis thaliana leaves upon osmotic stress imposition.

Publication Title

Pause-and-stop: the effects of osmotic stress on cell proliferation during early leaf development in Arabidopsis and a role for ethylene signaling in cell cycle arrest.

Sample Metadata Fields

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)

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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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