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accession-icon GSE33132
Expression data from purified control and BrdtBD1 round spermatids.
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Brdt is a testis specific member of a family of chromatin interacting proteins. All of the family members have been shown to regulate transcription. Brdt is highly expressed in round spermatids, and may play a role in transcriptional regulation in these cells.

Publication Title

The testis-specific double bromodomain-containing protein BRDT forms a complex with multiple spliceosome components and is required for mRNA splicing and 3'-UTR truncation in round spermatids.

Sample Metadata Fields

Specimen part

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accession-icon GSE29458
Expression data from PDGF driven mouse tumors
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Background

Publication Title

Glioblastoma models reveal the connection between adult glial progenitors and the proneural phenotype.

Sample Metadata Fields

Specimen part

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accession-icon GSE19944
MicroRNAs and gene expression profiles of rapamycin sensitive and resistant myogenic tumor cell line
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Reprogramming of the microRNA transcriptome mediates resistance to rapamycin.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE19885
Gene expression data from rapamycin resistant and sensitive cell lines
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The mammalian target of rapamycin (mTOR) is a central regulator of cell proliferation. Inhibitors of mTOR are being evaluated as anti-tumor agents. Given the emerging role of microRNAs (miRNAs) in tumorgenesis we hypothesized that miRNAs could play important roles in the response of tumors to mTOR inhibitors. Rapamycin resistant myogenic cells developed by long-term rapamycin treatment showed extensive reprogramming of miRNAs expression, characterized by up-regulation of the mir-17~92 and related clusters and down-regulation of tumor-suppressor miRNAs. Antagonists of oncogenic miRNA families and mimics of tumor suppressor miRNAs (let-7) restored rapamycin sensitivity in resistant tumor cells. This study identified miRNAs as new downstream components of the mTOR-signaling pathway, which may determine the response of tumors to mTOR inhibitors.

Publication Title

Reprogramming of the microRNA transcriptome mediates resistance to rapamycin.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP083725
RNAseq from polysomal RNA harvested from HCT116, MCF7 and SJSA cell lines treated with DMSO and Nutlin
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

To determine effects of p53 activation on levels of RNA associated with polysomes, we performed RNA-seq analysis of colorectal carcinoma cell line HCT116, breast carcinoma line MCF7, and osteosarcoma line SJSA treated with MDM2 inhibitor Nutlin. Overall design: Polysomal RNA was extracted from HCT116, MCF7 and SJSA cells treated with Nutlin, polyA enriched and subjected to RNA-seq protocol.

Publication Title

Identification of a core TP53 transcriptional program with highly distributed tumor suppressive activity.

Sample Metadata Fields

Cell line, Treatment, Subject

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accession-icon GSE53966
Global analysis of p53-regulated transcription reveals its direct targets and unexpected regulatory mechanisms
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Global analysis of p53-regulated transcription identifies its direct targets and unexpected regulatory mechanisms.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE53965
Global analysis of p53-regulated transcription reveals its direct targets and unexpected regulatory mechanisms (microarray)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

HCT116 microarray done 12 hours after treatment with DMSO (control) or Nutlin

Publication Title

Global analysis of p53-regulated transcription identifies its direct targets and unexpected regulatory mechanisms.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP018287
An intricate interplay between astrocytes and motor neurons in ALS
  • organism-icon Mus musculus
  • sample-icon 59 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II, Illumina Genome Analyzer IIx

Description

Amyotrophic Lateral Sclerosis (ALS) results from the selective and progressive degeneration of motor neurons. Although the underlying disease mechanisms remain unknown, glial cells have been implicated in ALS disease progression. Here we examine the effects of glial cell/motor neuron interactions on gene expression, using the hSOD1G93A mouse model of ALS. We detect striking cell autonomous and non-autonomous changes in gene expression in co-cultured motor neurons and glia, revealing that the two cell types profoundly affect each other. In addition, we found a remarkable concordance between the cell culture data, expression profiles of whole spinal cords, and of acutely isolated spinal cord cells, during disease progression in the G93A mouse model, providing validation of the cell culture approach. Bioinformatics analyses identified changes in the expression of specific genes and signaling pathways that may contribute to motor neuron degeneration in ALS, among which are TGF-b signaling pathways. Overall design: RNA-seq profiles of: 1) 43 Sandwich culture samples at 3 different time points (3, 7 and 14 days), in duplicate, in different combinations of genetic background WT/SOD1_G93A mutant glia and WT/SOD1_G93A mutant neurons; 2) 16 spinal cord samples at 4 different time points, WT and SOD1_G93A mutant.

Publication Title

Intricate interplay between astrocytes and motor neurons in ALS.

Sample Metadata Fields

Sex, Subject, Time

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accession-icon GSE65200
The Six1 oncoprotein represses translation of p53 via concomitant regulation of RPL26 and microRNA-27a
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

TP53 is mutated in 50% of all cancers, and is often functionally compromised in cancers where it is not mutated. We demonstrate that the pro-tumorigenic/metastatic Six1 homeoprotein decreases p53 levels through a mechanism that does not involve the negative regulator of p53, MDM2. Instead, Six1 regulates p53 via a dual mechanism involving upregulation of microRNA-27a and downregulation of the ribosomal protein L26 (RPL26), a positive regulator of p53 translation. Mutation analysis confirms that RPL26, whose expression inversely correlates with Six1 expression in numerous tumor types, inhibits miR-27a binding to the p53 3UTR and prevents microRNA-mediated translational inhibition of p53. Thus, through simultaneous downregulation of RPL26 and upregulation of miR-27a, Six1 efficiently lowers p53 levels despite regulation of p53 at the level of the proteasome. Consequently, Six1 overexpression, which is observed in numerous tumor types, leads to dramatic resistance to nutlins, as well as other therapies targeting the p53-MDM2 interaction.

Publication Title

The Six1 oncoprotein downregulates p53 via concomitant regulation of RPL26 and microRNA-27a-3p.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP075541
Unique Transcriptional Programs Identify Subtypes of AKI
  • organism-icon Mus musculus
  • sample-icon 53 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Two metrics, a rise in serum creatinine concentration and a decrease in urine output, are considered tantamount to the injury of the kidney tubule and the epithelial cells thereof (AKI).Yet neither criterion emphasizes the etiology or the pathogenetic heterogeneity of acute decreases in kidney excretory function. In fact, whether decreased excretory function due to contraction of the extracellular fluid volume (vAKI) or due to intrinsic kidney injury (iAKI) actually share pathogenesis and should be aggregated in the same diagnostic group remains an open question. To examine this possibility, we created mouse models of iAKI and vAKI that induced a similar increase in serum creatinine concentration. Using laser microdissection to isolate specific domains of the kidney, followed by RNA sequencing, we found that thousands of genes responded specifically to iAKI or to vAKI, but very few responded to both stimuli. In fact, the activated gene sets comprised different, functionally unrelated signal transduction pathways and were expressed in different regions of the kidney. Moreover, we identified distinctive gene expression patterns in human urine as potential biomarkers of either iAKI or vAKI, but not both. Hence, iAKI and vAKI are biologically unrelated, suggesting that molecular analysis should clarify our current definitions of acute changes in kidney excretory function. Overall design: Examining transcriptional profiles of two models of "acute kidney injury" (iAKI and pAKI), compared to controls, in different microanatomic regions of the kidney using laser capture microdissection

Publication Title

Unique Transcriptional Programs Identify Subtypes of AKI.

Sample Metadata Fields

Subject

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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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