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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

View Samples
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 GSE62163
Brassinosteroid-mediated gene expression changes in Arabidipsis during heat stress
  • organism-icon Arabidopsis thaliana
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Global analysis of brassinosteroid (BR)-mediated gene expression under abiotic stress identifies BR associated mechanisms of stress tolerance, and new stress-related genes

Publication Title

Gene expression and functional analyses in brassinosteroid-mediated stress tolerance.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon SRP131524
Synergy from Gene Expression and Network Mining (SynGeNet) method predicts genotype-specific synergistic drug combinations in melanoma
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Using our computational method SynGeNet to evaluate genomic and transcriptomic data characterizing four major genomic subtypes of melanoma, we selected the top ranked drug combination for BRAF-mutation melanoma for subsequent validaiton. Here we present drug-induced gene expression data from the BRAF-mutant A375 melanoma cell line in response to four treatment conditions: vehicle control (DMSO), vemurafenib alone, tretinoin (ATRA) alone and vemurafenib+tretinoin combination. Overall design: Gene expression profiles of A375 melanoma cells were generated by RNAseq (Illumina HiSeq 4000) under the following treatment conditions: vehicle control (DMSO), vemurafenib, tretinoin and vemurafenib + tretinoin combination.

Publication Title

Synergy from gene expression and network mining (SynGeNet) method predicts synergistic drug combinations for diverse melanoma genomic subtypes.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE64535
Gene expression profiles after induced Id3 levels in A431 squamous carcinoma cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Previously it has been shown that Id3 can act as an apoptosis-inducer gene in immortalized human keratinocytes. To further investigate the role of Id3 in the progression of skin cancer, the role of Id3 in A431 cells is investigated through ectopic induction of Id3.

Publication Title

Id3 induces an Elk-1-caspase-8-dependent apoptotic pathway in squamous carcinoma cells.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon SRP075272
Splicing towards noncoding isoforms in colorectal carcinoma is associated with tumor hypoxia and the DNA damage response
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Tumor hypoxia is associated with poor patient outcome and resistance to therapy. It is associated with a rapid decline in protein production mediated through mTOR signalling. Here we show that it also leads to widespread changes in splicing and a global shift towards the expression of noncoding isoforms, thus providing a novel and orthogonal mechanism by which cells can modulate protein expression. Overall design: Examination of mRNA levels in HCT116 cells after 0 hr, 1 hr, 2 hr and 24 hr in hypoxia. Three biological replicates each.

Publication Title

Hypoxia-driven splicing into noncoding isoforms regulates the DNA damage response.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject, Time

View Samples
accession-icon GSE35038
DNA Damage Response and Inflammatory Signaling Limit the MLL-ENL-induced Leukemogenesis in vivo
  • organism-icon Mus musculus
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Activation of the MLL-ENL-ERtm oncogene initiates aberrant proliferation of myeloid progenitors. Here, we show induction of a fail-safe mechanism mediated by the DNA damage response (DDR) machinery that results in activation of the ATR/ATM-Chk1/Chk2-p53/p21 checkpoint and cellular senescence at early stages of cellular transformation caused by a regulatable MLL-ENL-ERtm in mice. Furthermore, we identified the transcription program underlying this intrinsic anti-cancer barrier, and DDR-induced inflammatory regulators that fine-tune the signaling towards senescence, thereby modulating the fate of MLL-ENL-immortalized cells in a tissue-environment-dependent manner. Our results indicate that DDR is a rate-limiting event for acquisition of stem cell-like properties in MLL-ENL-ERtm-mediated transformation, as experimental inhibition of the barrier accelerated the transition to immature cell states and acute leukemia development.

Publication Title

DNA damage response and inflammatory signaling limit the MLL-ENL-induced leukemogenesis in vivo.

Sample Metadata Fields

Specimen part, Disease stage

View Samples

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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