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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 GSE51014
Comparative transcriptome profiling of the injured zebrafish and mouse hearts identifies miRNA-dependent repair pathways
  • organism-icon Mus musculus, Danio rerio
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Comparative transcriptome profiling of the injured zebrafish and mouse hearts identifies miRNA-dependent repair pathways.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE51012
Comparative transcriptome profiling of the injured zebrafish and mouse hearts identifies miRNA-dependent repair pathways
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

The mammalian heart has poor regenerative capacity following injury. In contrast, certain lower vertebrates such as zebrafish retain a robust capacity for regeneration into adult life. Here we use an integrated approach to identify evolutionary conserved regenerative miRNA-dependant regulatory circuits in the heart. We identified novel miRNA-dependant networks involved in critical biological pathways, which are differentially utilized between the infarcted mouse heart and the regenerating zebrafish heart.

Publication Title

Comparative transcriptome profiling of the injured zebrafish and mouse hearts identifies miRNA-dependent repair pathways.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon SRP030036
Comparative transcriptome profiling of the injured zebrafish and mouse hearts identifies miRNA-dependent repair pathways
  • organism-icon Danio rerio
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

The mammalian heart has poor regenerative capacity following injury. In contrast, certain lower vertebrates such as zebrafish retain a robust capacity for regeneration into adult life. Here we use an integrated approach to identify evolutionary conserved regenerative miRNA-dependant regulatory circuits in the heart. We identified novel miRNA-dependant networks involved in critical biological pathways, which are differentially utilized between the infarcted mouse heart and the regenerating zebrafish heart. Overall design: 2 conditions, 4 biological replicates per condition

Publication Title

Comparative transcriptome profiling of the injured zebrafish and mouse hearts identifies miRNA-dependent repair pathways.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE51013
Comparative transcriptome profiling of the injured zebrafish and mouse hearts identifies miRNA-dependent repair pathways
  • organism-icon Danio rerio
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

The mammalian heart has poor regenerative capacity following injury. In contrast, certain lower vertebrates such as zebrafish retain a robust capacity for regeneration into adult life. Here we use an integrated approach to identify evolutionary conserved regenerative miRNA-dependant regulatory circuits in the heart. We identified novel miRNA-dependant networks involved in critical biological pathways, which are differentially utilized between the infarcted mouse heart and the regenerating zebrafish heart.

Publication Title

Comparative transcriptome profiling of the injured zebrafish and mouse hearts identifies miRNA-dependent repair pathways.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP030037
Comparative transcriptome profiling of the injured zebrafish and mouse hearts identifies miRNA-dependent repair pathways
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

The mammalian heart has poor regenerative capacity following injury. In contrast, certain lower vertebrates such as zebrafish retain a robust capacity for regeneration into adult life. Here we use an integrated approach to identify evolutionary conserved regenerative miRNA-dependant regulatory circuits in the heart. We identified novel miRNA-dependant networks involved in critical biological pathways, which are differentially utilized between the infarcted mouse heart and the regenerating zebrafish heart. Overall design: 2 conditions, 3 biological replicates per condition

Publication Title

Comparative transcriptome profiling of the injured zebrafish and mouse hearts identifies miRNA-dependent repair pathways.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

View Samples
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

View Samples
accession-icon GSE35790
Kinetic RNA polymerase II occupancy, associated histone marks, and mRNA accumulation reveal transcriptional and post-transcriptional mechanisms underlying circadian gene expression
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide RNA polymerase II profiles and RNA accumulation reveal kinetics of transcription and associated epigenetic changes during diurnal cycles.

Sample Metadata Fields

Specimen part

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accession-icon GSE35789
Transcription profiling of mouse liver cells during the circadian cycle at 4 hour time resolution
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Cyclic regulatory systems are ubiquitous in cells and tissues. In the liver rhythms in mRNA expression are determined by the homeostatic regulation that operates on daily circumstances. In particular the specific response to nutrients, as well as systemic and peripheral circadian oscillators, contribute to the set up of the hepatic homeostasis at different phases of the day. In this series we used microarrays to detail the global program of gene expression in the mouse liver under physiological daily variations, determined by both the feeding and the circadian cycles.

Publication Title

Genome-wide RNA polymerase II profiles and RNA accumulation reveal kinetics of transcription and associated epigenetic changes during diurnal cycles.

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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