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accession-icon SRP077584
Transcriptome comparison of oocytes treated with RNAi against Btg4 or with control siRNAs
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

The comparison of trancriptomes was part of the study by Pasternak et al. The goal was to check if BTG4 regulates mRNA polyadenylation during mouse oocyte meiosis. To test this we compared the abundancies of the polyadenylated trancripts in control and Btg4-depleted oocytes. Overall design: 3 samples of 50 oocytes were collected for both groups

Publication Title

The BTG4 and CAF1 complex prevents the spontaneous activation of eggs by deadenylating maternal mRNAs.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP057558
Transcriptome comparison of oocytes obtained from in vitro culture and in vivo
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The comparison of trancriptomes was part of the study by Pfender, Kuznetsov, Pasternak et al, titled: "Live imaging RNAi screen reveals genes essential for meiosis in mammalian oocytes". The goal was to check if the oocytes cultured in vitro in follicles (for RNAi studies) correspond to real gametes obtained directly from mice (in vivo). Apart from functional experiments showing that they can be fertilized and develop into an embryo, we also compared transcriptomes of those oocytes. Overall design: 3 samples of 50 oocytes were collected for both groups of in vitro and in vivo grown oocytes.

Publication Title

Live imaging RNAi screen reveals genes essential for meiosis in mammalian oocytes.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP170939
Antagonizing increased miR-135a levels at the chronic stage of experimental TLE reduces spontaneous recurrent seizures
  • organism-icon Mus musculus
  • sample-icon 168 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Increased miR-135a levels are observed in human patients with temporal lobe Epilepsy (TLE) and in experimental animal models. Upon targeting the increased miR-135a levels in vivo using antagomirs in kainic acid induced status epilepticus mouse model of TLE, we observed a strong reduction of spontaneous recurrent seizures. To understand this further and to find target mRNAs that potentially mediate the seizure suppressive function of miR-135a, we performed immunoprecipitation using biotin tagged miRNA mimics, followed by RNAsequencing (RNAseq). We found several novel neuronal targets of miRNA-135a and identified Mef2a as a key target in this study. Here we report the total RNAseq data. Overall design: N2A cells were transfected with biotin tagged miRNA mimics for miR-135a and negative control and immunoprecipitations were performed. N = 3 replicates of IP and input samples for each condition were generated and sequenced on illumina platform for total RNA for identification of novel targets of miR-135a.

Publication Title

Antagonizing Increased <i>miR-135a</i> Levels at the Chronic Stage of Experimental TLE Reduces Spontaneous Recurrent Seizures.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE51445
Transcription profiling reveals potential mechanisms of dysbiosis in the oral microbiome of rhesus macaques with chronic untreated SIV infection
  • organism-icon Macaca mulatta, Homo sapiens
  • sample-icon 13 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

Transcription profiling reveals potential mechanisms of dysbiosis in the oral microbiome of rhesus macaques with chronic untreated SIV infection.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Cell line, Treatment

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accession-icon GSE51436
Expression data from rhesus macaque tongue
  • organism-icon Macaca mulatta
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A majority of individuals infected with human immunodeficiency virus (HIV) have inadequate access to antiretroviral therapy and ultimately develop debilitating oral infections that often correlate with disease progression. Our study evaluates the potential of simian immunodeficiency virus (SIV) infected rhesus macaques to serve as a non-human primate model for oral manifestations of HIV disease.

Publication Title

Transcription profiling reveals potential mechanisms of dysbiosis in the oral microbiome of rhesus macaques with chronic untreated SIV infection.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE51438
Expression data from rhesus macaque tongue epithelium
  • organism-icon Macaca mulatta
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A majority of individuals infected with human immunodeficiency virus (HIV) have inadequate access to antiretroviral therapy and ultimately develop debilitating oral infections that often correlate with disease progression. Our study evaluates the potential of simian immunodeficiency virus (SIV) infected rhesus macaques to serve as a non-human primate model for oral manifestations of HIV disease.

Publication Title

Transcription profiling reveals potential mechanisms of dysbiosis in the oral microbiome of rhesus macaques with chronic untreated SIV infection.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE51439
Expression data from human oral epithelial cell line
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A majority of individuals infected with human immunodeficiency virus (HIV) have inadequate access to antiretroviral therapy and ultimately develop debilitating oral infections that often correlate with disease progression. Our study evaluates the impact of chronic exposure to the pro-inflammatory cytokine, interferon gamma, on the growth and barrier functions of the oral epithelium.

Publication Title

Transcription profiling reveals potential mechanisms of dysbiosis in the oral microbiome of rhesus macaques with chronic untreated SIV infection.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE74407
Epidermal Growth Factor Receptor inhibition triggers Type 1 Interferon signature in human keratinocytes
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The Epidermal Growth Factor Receptor (EGFR)/ligand system is centrally involved in multiple homeostatic functions of the epithelia. Epithelial cells are the primary targets of humanized antibodies and small molecule inhibitors against this system, whereby the constellation of skin-specific side effects of these drugs stems from a profound disturbance of keratinocyte biology. So far, the molecular mechanisms underlying these toxic events have been investigated only broadly. Here we show that keratinocyte response to anti-EGFR drugs comprises the development of a type 1 interferon (IFN) molecular signature including enhanced expression of IFN-kappa. Mechanistically, nuclear accumulation of IRF1 precedes this signature as well as the enhanced expression of a chemokine cluster we previously identified as a relevant pro-inflammatory component of EGFR inhibition. In fact, either silencing of IRF1 transcript expression, or antibody-mediated blockade of type 1 IFN receptor function and consequent abrogation of STAT1 activation, leads to impairment of this gene transcription profile. High levels of IRF1 and IFN-kappa can be clearly observed in the early skin lesions of patients treated with cetuximab. Type 1 IFN signaling could be crucially implicated in the triggering of the inflammatory mechanisms active in the skin of patients under treatment with anti-EGFR drugs.

Publication Title

Epidermal growth factor receptor inhibitors trigger a type I interferon response in human skin.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE4290
Expression data of glioma samples from Henry Ford Hospital
  • organism-icon Homo sapiens
  • sample-icon 177 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

mRNA expression data were collected from patients with brain tumor to improve diagnostic of gliomas on molecular level.

Publication Title

Neuronal and glioma-derived stem cell factor induces angiogenesis within the brain.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP080797
Integrator orchestrates RAS/ERK1/2 signaling transcriptional programs
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon

Description

We investigated the occupancy of RNA PolII and INTS11 during the stimulation of EGF and compared with drug treated condition using inhibitors against MAPK pathway and Integrator. Additionally, we examined transcription by sequencing the chromatin-bound fraction of RNA. Overall design: We employed several cel lines in our experiment, including HELA, KRAS mutant lung cancer cell line A549 and BRAF mutatant melanoma cell line A375. The conditons we checked including EGF stimulation, MAPK pathway inhibition using BRAF, MEK or ERK inhibitiors, targeting INTS11 with RNAi or integrator inhibitor. We used RNA sequencing to measure the expression profile and CHIP sequencing to detect INTS11 and RNA PolII recruitment on chromatin.

Publication Title

Integrator orchestrates RAS/ERK1/2 signaling transcriptional programs.

Sample Metadata Fields

No sample metadata fields

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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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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