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accession-icon GSE53335
Regulation of inducible genes in epithelial to mesenchymal transition by chromatinized PKC-theta
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st), Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Chromatinized protein kinase C-θ directly regulates inducible genes in epithelial to mesenchymal transition and breast cancer stem cells.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE53266
Gene expression changes in a breast cancer stem cell model.
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Epithelial to mesenchymal transition (EMT) is activated during cancer invasion and metastasis, enriches for cancer stem cells (CSCs), and contributes to therapeutic resistance and disease recurrence. The epithelial cell line MCF7, can be induced to undergo EMT with the induction of PKC by PMA. 5-10% of the resulting cells have a CSC phenotype. This study looks at the transcriptome of these cells and how it differs from cells with a non-CSC phenotype.

Publication Title

Chromatinized protein kinase C-θ directly regulates inducible genes in epithelial to mesenchymal transition and breast cancer stem cells.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP075283
Development and differentiation of early innate lymphoid progenitors
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Early innate lymphoid progenitors (EILP) have recently been identified in the mouse adult bone marrow as a multipotential progenitor population committed to ILC lineages, but their relationship with other described ILC progenitors is still unclear. In this study, we examine the progenitor-successor relationships between EILP, IL-7R+ common lymphoid progenitors (ALP), and ILC precursors (ILCp). Bioinformatic, phenotypical, functional, and genetic approaches collectively establish EILP as an intermediate progenitor between ALP and ILCp. Our work additionally provides new candidate regulators of ILC development and clearly defines the stage of requirement of transcription factors key for early ILC development. Overall design: transcriptional profiling of early ILC progenitors (EILP, ILCp), and common lymphoid progenitors (ALP) was performed by RNA sequencing

Publication Title

Development and differentiation of early innate lymphoid progenitors.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE50529
PhoB Activates Escherichia coli O157:H7 Virulence Factors in Response to Inorganic Phosphate Limitation
  • organism-icon Escherichia coli
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

In E. coli the phosphate homeostasis is regulated by the Pst system and the two-component system PhoB/R. Pathogens like E. coli O157:H7 are responsible for many outbreaks and can be found and survive in poor inorganic phosphate (Pi) environments.

Publication Title

PhoB activates Escherichia coli O157:H7 virulence factors in response to inorganic phosphate limitation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE45346
Estrogen inhibits lipid content in liver exclusively from membrane receptor signaling
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Membrane estrogen receptor (ER) alpha stimulates AMP kinase to suppress SREBP1 processing and lipids in liver

Publication Title

Estrogen reduces lipid content in the liver exclusively from membrane receptor signaling.

Sample Metadata Fields

Specimen part

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accession-icon SRP066363
Characterization of parental and rociletinib-resistant derived H1975 cell lines
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Through development of an in vivo orthotopic lung cancer model, we reveal an unanticipated pathway driving spontaneous metastasis that is orchestrated by the developmentally-regulated transcriptional repressor, Capicua (CIC). Overall design: RNAseq and DNA copy number analysis of H1975 (EGFR-mutant lung adenocarcinoma) cells in the context of drug resistance to rociletinib

Publication Title

Inactivation of Capicua drives cancer metastasis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE49650
Checkpoints Couple Transcription Network Oscillator Dynamics to Cell-Cycle Progression
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 127 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Yeast cell cycle transcript dynamics in three S. cerevisiae strains grown at 30 degrees Celsius: cdc20 GALL-CDC20 (persistent mitotic CDK activity; CDK on), cdc8-ts (DNA replication checkpoint), GAL-cse4-353 (spindle assembly checkpoint), cdc8-ts cdc20 (DNA replication checkpoint, CDK on), and cdc8-ts cdc20, rad53-1 (DNA replication checkpoint without Rad53 activity, CDK on) in a BF264-15DU background. We compared transcript levels of genes previously shown to be periodically expressed in wild-type cells and in cells lacking all mitotic cyclins (clb1,2,3,4,5,6; CDK off).

Publication Title

Checkpoints couple transcription network oscillator dynamics to cell-cycle progression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9819
Comparisons of Affymetrix Whole-Transcript Human Gene 1.0 ST array with standard 3' expression arrays
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The recently released Affymetrix Human Gene 1.0 ST array has two major differences compared with standard 3' based arrays: (1) it interrogates the entire mRNA transcript, and (2) it uses cDNA targets. To assess the impact of these differences on array performance, we performed series of comparative hybridizations between the Human Gene 1.0 ST and the Affymetrix HG-U133 Plus 2.0 and the Illumina HumanRef-8 BeadChip arrays. Additionally, both cRNA and cDNA targets were probed on the HG-U133 Plus 2.0 array. The results show that the overall reproducibility is best using the Gene 1.0 ST array. When looking only at the high intensity probes, the reproducibility of the Gene 1.0 ST array and the Illumina BeadChip array is equally good. Concordance of array results was assessed using different inter-platform mappings. The Gene 1.0 ST is most concordant with the HG-U133 array hybridized with cDNA targets, thus showing the impact of the target type. Agreements are better between platforms with designs which choose probes from the 3' end of the gene. Overall, the high degree of correspondence provides strong evidence for the reliability of the Gene 1.0 ST array.

Publication Title

Affymetrix Whole-Transcript Human Gene 1.0 ST array is highly concordant with standard 3' expression arrays.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP167389
Gene expression profiles of isogenic single-cell derived clones of BRAF-mutated SK-MEL-5 melanoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

We recently reported that single-cell derived isogenic subclones of SKMEL5 cells have differential initial sensitivity to BRAF-inhibitors. In order to probe differences among these subclones, we selected three subclones with unique drug responses: progressing (SK-MEL-5 SC10), stationary (SK-MEL-5 SC07), and regressing (SK-MEL-5 SC01) and performed RNASeq. This study examines differentially expressed genes (DEGs) among the subclones to identify the molecular basis for initial differences in drug sensitivity. Overall design: Transcriptomics analysis between single-cell derived isogenic subclones of BRAF-mutated melanoma cell line, SK-MEL-5

Publication Title

A Nonquiescent "Idling" Population State in Drug-Treated, BRAF-Mutated Melanoma.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE13122
The Effect of Translocation-Induced Nuclear Re-organization on Gene Expression
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To study the effect of balanced chromosomal rearrangements on gene expression, we compared the transcriptomes of cell lines from control and t(11;22)(q23;q11) individuals. This translocation between chromosomes 11 and 22 is the only recurrent constitutional non-Robertsonian translocation in humans. The number of differentially expressed transcripts between the translocated and control cohort is significantly higher than that observed between control samples alone, suggesting that balanced rearrangements have a greater effect on gene expression than normal variation. Altered expression is not limited to genes close to the translocation breakpoint suggesting that a long-range effect is operating. Indeed we show that the nuclear position of the derivative chromosome is altered compared to the normal chromosomes. Our results are consistent with recent studies that indicate a functional role for nuclear position in regulating the expression of some genes in mammalian cells. They may also have implications on reproductive separation, as we show that reciprocal translocations not only provide partial isolation for speciation but also significant changes in transcriptional regulation through alteration of nuclear chromosomes territories.

Publication Title

The effect of translocation-induced nuclear reorganization on gene expression.

Sample Metadata Fields

Sex, Age, Specimen part

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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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