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accession-icon GSE61131
Expression data from primary rat aortic smooth muscle cells
  • organism-icon Rattus norvegicus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Electrochemical gradients of monovalent cations across the plasma membrane (high intracellular potassium, [K+]i vs low intracellular sodium, [Na+]i) are created by the Na+,K+-pump and determine a large variety of physiologically important processes. We hypothesized that transcriptomics changes triggered by hypoxia are at least partially caused by Na+i/K+i-mediated excitation-transcription coupling .

Publication Title

Transcriptomic changes triggered by hypoxia: evidence for HIF-1α-independent, [Na+]i/[K+]i-mediated, excitation-transcription coupling.

Sample Metadata Fields

Specimen part

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accession-icon GSE42797
mmu-miR-15a-3p activity in mouse cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We intended to investigate effects of mmu-miR-15a-3p on gene expression in mice

Publication Title

Large-scale screening identifies a novel microRNA, miR-15a-3p, which induces apoptosis in human cancer cell lines.

Sample Metadata Fields

Specimen part

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accession-icon GSE51866
Gene expression data for liver, adipose, and skeletal muscle tissues of MKR and Healthy mice.
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

MKR mice is a Type 2 Diabetic mice, which was created by expressing mutation in IGF1 receptor in the skeletal muscle, and is widely used in diabetes research. Gene expression differences between MKR mice and Healthy (Wild type) mice are poorly understood.

Publication Title

Multi-tissue computational modeling analyzes pathophysiology of type 2 diabetes in MKR mice.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE58255
Genome-wide analysis of the Integrator complex
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrator regulates transcriptional initiation and pause release following activation.

Sample Metadata Fields

Disease, Cell line, Treatment

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accession-icon GSE58254
Genome-wide analysis of the Integrator complex (BeadChip)
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

We investigated the genomic occupancy of INTS11, in normal condition and after stimulation of EGF. Total RNAPII was profiled in the presence or absence of INTS11, along with the Super Elongation Complex proteins AFF4 and ELL2. Additionally, we extensively examined the transcriptional response to EGF, before and after depletion of INTS11, using RNA-seq on ribosome-depleted total RNA and Global Run-on sequencing (GRO-seq).

Publication Title

Integrator regulates transcriptional initiation and pause release following activation.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE15400
Conditioned media from SDEC supports human embryonic stem cell proliferation on type I collagen
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Conditioned media from a human embryonic germ cell-derived line called SDEC was found to be supportive of human embryonic stem cell growth in the absence of feeder layers on a simple type I collagen matrix. We performed gene expression studies comparing this line to non-supportive cell lines (WI-38 and Detroit 551) to try to identify gene targets responsible for this phenomenon.

Publication Title

Proliferation and pluripotency of human embryonic stem cells maintained on type I collagen.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE30240
Expression data from 5 human cell lines exposed to IR (5 Gy)
  • organism-icon Homo sapiens
  • sample-icon 75 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The cellular response to DNA damage is vital for maintaining genomic stability and preventing undue cell death or cancer formation. The DNA damage response (DDR), most robustly mobilized by double-strand breaks (DSBs), rapidly activates an extensive signaling network that affects numerous cellular systems, leading to cell survival or programmed cell death. A major component of the DDR is the widespread modulation of gene expression. We analyzed transcriptional responses to ionizing radiation (IR) in 5 human cell lines to elucidate the scope of this response and identify its gene targets. According to the mRNA expression profiles most of the responses were cell line-specific. Data analysis identified significant enrichment for p53 target genes and cell cycle-related pathways among groups of up-regulated and down-regulated genes, respectively.

Publication Title

Transcriptional modulation induced by ionizing radiation: p53 remains a central player.

Sample Metadata Fields

Cell line, Time

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accession-icon GSE2118
IR-response in Atm-/- and control lymph nodes
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

The DNA damage response network modulates a wide array of signaling pathways, including DNA repair, cell cycle checkpoints, apoptotic pathways and numerous stress signals. The ATM protein kinase, functionally missing in patients with the human genetic disorder ataxia-telangiectasia (A-T), is a master regulator of this network when the inducing DNA lesions are double strand breaks. The ATM gene is also frequently mutated in sporadic cancers of lymphoid origin. Here, we applied a functional genomics approach that combines gene expression profiling and computational promoter analysis to obtain global dissection of the transcriptional response to ionizing radiation (IR) in murine lymphoid tissue. Cluster analysis revealed six major expression patterns in the data. Prominent among them was a gene cluster that contained dozens of genes whose response to irradiation was Atm-dependent. Computational analysis identified significant enrichment of the binding site signatures of the transcription factors NF-kB and p53 among promoters of these genes, pointing to the major role of these two transcription factors in mediating the Atm-dependent transcriptional response in the irradiated lymphoid tissue. Examination of the response showed that pro- and anti-apoptotic signals were simultaneously induced, with the pro-apoptotic pathway mediated by p53, and the pro-survival pathway by NF-kB. These findings further elucidate the molecular network induced by IR and have implications for cancer management as they suggest that a combined treatment that restores the p53-mediated apoptotic arm while blocking the NF-kB-mediated pro-survival arm could be most successful in increasing the radiosensitivity of lymphoid tumors.

Publication Title

Parallel induction of ATM-dependent pro- and antiapoptotic signals in response to ionizing radiation in murine lymphoid tissue.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE36039
Polycomb repressive complex 2-dependent and independent functions of Jarid2 in transcriptional regulation in Drosophila
  • organism-icon Drosophila melanogaster
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Polycomb repressive complex 2-dependent and -independent functions of Jarid2 in transcriptional regulation in Drosophila.

Sample Metadata Fields

Specimen part

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accession-icon GSE36038
Polycomb repressive complex 2-dependent and independent functions of Jarid2 in transcriptional regulation in Drosophila [Affymetrix]
  • organism-icon Drosophila melanogaster
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Jarid2 was recently identified as an important component of the mammalian Polycomb Repressive Complex 2 (PRC2), where it has a major effect on PRC2 recruitment in mouse embryonic stem cells. Although Jarid2 is conserved in Drosophila, it has not previously been implicated in Polycomb (Pc) regulation. Therefore, we purified Drosophila Jarid2 and its associated proteins and find that Jarid2 associates with all of the known canonical PRC2 components, demonstrating a conserved physical interaction with PRC2 in flies and mammals. Furthermore, in vivo studies with Jarid2 mutants in flies demonstrate that among several histone modifications tested, only H3K27 methylation, the mark implemented by PRC2, was affected. Genome-wide profiling of Jarid2, Su(z)12 and H3K27me3 occupancy by ChIP-seq indicates that Jarid2 and Su(z)12 have a very similar distribution pattern on chromatin. However, Jarid2 and Su(z)12 occupancy levels at some genes are significantly different with Jarid2 being present at relatively low levels at many Pc response elements (PREs) of certain Homeobox (Hox) genes, providing a rationale for why Jarid2 was never identified in Pc screens. Gene expression analyses show that Jarid2 and E(z) (a canonical PRC2 component) are required not only for transcriptional repression but might also function in active transcription. Identification of Jarid2 as a conserved PRC2 interactor in flies provides an opportunity to begin to probe some of its novel functions in Drosophila development.

Publication Title

Polycomb repressive complex 2-dependent and -independent functions of Jarid2 in transcriptional regulation in Drosophila.

Sample Metadata Fields

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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