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accession-icon SRP158999
Transcriptome analysis of influenza infected GFP+ AEC compared to bystander GFP- AEC
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

A GFP-expressing recombinant A/Puerto Rico/8/1934 influenza virus was used to infect C57BL/6 wild type mice and on day 3 post infection, lung alveolar epithelial cells (AEC) were isolated and sorted based on GFP expression. GFP+ AEC represent the infected AEC and GFP- AEC represent the bystander AEC. AEC were also sorted from uninfected mice to serve as controls. Overall design: AEC from infected mice were pooled to make three (3) infected GFP+ AEC replicates for sequencing. Five (5) bystander GFP- replicates and five (5) uninfected AEC replicates were also isolated for sequencing

Publication Title

Transcriptome Analysis of Infected and Bystander Type 2 Alveolar Epithelial Cells during Influenza A Virus Infection Reveals <i>In Vivo</i> Wnt Pathway Downregulation.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon SRP070761
Late pre-B cell transcriptomes from Zfp36l1 Zfp36l2 double knockout mice [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Purpose: Conditional knockout of Zfp36l1 Zfp36l2 in pro-B cells perturbs B cell development leading to reduced V(D)J recombination and diminished numbers of cells in successive stages of development. This RNA seq experiment aimed to determine the molecular pathways affected by loss of Zfp36l1 and Zfp36l2, and to deduce direct targets of these RNA binding proteins. Methods: RNAseq libraries were prepared from 0.1 µg of RNA from sorted control and DCKO late pre-B cells using TruSeq RNA sample preparation kit v2 modified to be strand specific using the dUTP method. Libraries were sequenced by an Illumina genome analyzer II measuring 54bp single-end reads. Over 30 million reads were measured from each sample. The reads were trimmed to remove adapter sequences using Trim Galore then mapped using Tophat (version 1.1.4) to the NCBIm37 mouse assembly (April 2007, strain C57BL/6J); reads with an identical sequence to more than one genomic locus were not mapped. Quality control analysis was carried out with FastQC. Results: Read counts for each gene were generated in SeqMonk: transcripts from the same gene were collapsed into a single transcript containing all exons, so total reads were counted without considering alternative splice forms. Since the libraries were strand-specific only reads on the opposing strand were counted. Differences in the abundance of transcripts between DCKO and control late pre-B cells were calculated in the R/Bioconductor program DESeq (version 1.12.1). Adjusted P values for differential expression were calculated in DESeq using a Benjamini-Hochberg correction: genes with an adjusted p-value of less than 5% were considered significant. Differentially expressed mouse transcripts identified using DESeq were analyzed for gene set enrichment using Toppfun. Conclusions: We identified an enrichment of mRNAs involved in cell cycle progression within Zfp36l1 Zfp36l2 double conditional knockouts. Overall design: RNAseq of late pre-B cells from control and Zfp36l1, Zfp36l2 double conditional knockout mice.

Publication Title

RNA-binding proteins ZFP36L1 and ZFP36L2 promote cell quiescence.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE8702
Longitudinal Analysis of Progression to Androgen Independence
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Following androgen ablation therapy (AAT), the vast majority of prostate cancer patients develop treatment resistance with a median time of 18-24 months to disease progression. To identify molecular targets that aid in prostate cancer cell survival and contribute to the androgen independent phenotype, we evaluated changes in LNCaP cell gene expression during 12 months of androgen deprivation. At time points reflecting critical growth and phenotypic changes, we performed Affymetrix expression array analysis to examine the effects of androgen deprivation during the acute response, during the period of apparent quiescence, and during the emergence of highly proliferative, androgen-independent prostate cancer cells (LNCaP-AI). We discovered alterations in gene expression for a host of molecules associated with promoting prostate cancer cell growth and survival, regulating cell cycle progression, apoptosis and adrenal androgen metabolism, in addition to AR co-regulators and markers of neuroendocrine disease. These findings illustrate the complexity and unpredictable nature of cancer cell biology and contribute greatly to our understanding of how prostate cancer cells likely survive AAT. The value of this longitudinal approach lies in the ability to examine gene expression changes throughout the cellular response to androgen deprivation; it provides a more dynamic illustration of those genes which contribute to disease progression in addition to specific genes which constitute a malignant androgen-independent phenotype. In conclusion, it is of great importance that we employ new approaches, such as the one proposed here, to continue exploring the cellular mechanisms of therapy resistance and identify promising targets to improve cancer therapeutics.

Publication Title

Longitudinal analysis of androgen deprivation of prostate cancer cells identifies pathways to androgen independence.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE46272
PINT lincRNA connects the p53 pathway with epigenetic silencing by the Polycomb Repressive Complex 2
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 11 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

Pint lincRNA connects the p53 pathway with epigenetic silencing by the Polycomb repressive complex 2.

Sample Metadata Fields

Specimen part, Disease, Cell line, Treatment, Subject

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accession-icon GSE46247
PINT lincRNA connects the p53 pathway with epigenetic silencing by the Polycomb Repressive Complex 2 (MEF cells)
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

It has been recently shown that the transcription factor p53 induces the expression of multiple lincRNAs. However, relatively little is known about the role that lincRNAs play in this pathway. Here we characterize a lincRNA named PINT (p53 Induced Noncoding Transcript). We show that PINT is a ubiquitously expressed lincRNA that is finely regulated by p53. In mouse cells, PINT promotes cell proliferation and survival by regulating the expression of genes of TGF-beta, MAPK and p53 pathways. PINT is a nuclear lincRNA that directly interacts with Polycomb Repressive Complex 2 (PRC2), being required for PRC2 targeting of specific genes for repression. Furthermore, PINT functional activity is dependent on PRC2 expression, representing a connection between the p53 pathway and epigenetic regulation by PRC2. We have also identified PINT human ortholog (hPINT), which presents suggestive analogies with the mouse lincRNA. hPINT is similarly regulated by p53, and its expression correlates significantly with the same cellular pathways as the mouse ortholog, including the p53 pathway. Interestingly, hPINT is significantly downregulated in colon cancer, representing a novel tumor suppressor candidate. Our results not only help our understanding of the role of p53 and lincRNAs in cancer, but also contribute to the open debate regarding the utility of mouse models for the study of lincRNAs.

Publication Title

Pint lincRNA connects the p53 pathway with epigenetic silencing by the Polycomb repressive complex 2.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE51130
Using a rhabdomyosarcoma patient-derived xenograft to examine precision medicine approaches and model acquired resistance
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Original patient tumor is directly implanted in mice xenografts. Tumor is propagated to multiple mice for conduct of 6 arm treatment trials and control. Therapies are selected based on T0 and F0 genomic profiles.

Publication Title

Using a rhabdomyosarcoma patient-derived xenograft to examine precision medicine approaches and model acquired resistance.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP137054
Gene expression profiling of Smad2/3 cKO mice
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

Uterine double conditional inactivation of Smad2 and Smad3 in mice results in endometrial dysregulation, infertility, and uterine cancer. Smad2/3 cKO mice demonstrate abnormal expression of genes involved in inflammation, cell-cycle checkpoint, migration, steroid biosynthesis, and SMAD1/5-driven genes. We performed RNA-sequencing to identify the gene expression differences between the uterine epithelium of control and Smad2/3 cKO. To control for estrous cycle variations, the uterine epithelium was collected from mice at 0.5 dpc. Global gene expression profiles of Smad2/3 cKO versus control mice was analyzed. Our RNA sequencing analysis was performed at 6 weeks of life and already showed significant differences in migratory (Agr2,Slit2) and inflammatory (Ccl20, Crispld2) markers between Smad2/3 cKO and control mice. Overall design: Two group comparison: uterine epithelium of control and Smad2/3 cKO mice. We generated a conditional knockout of Smad2/3 in the uterus and demonstrated that Smad2/3 plays a critical role in the endometrium, with disruption resulting in pubertal-onset uterine hyperplasia and ultimately fatal uterine cancer.

Publication Title

Uterine double-conditional inactivation of <i>Smad2</i> and <i>Smad3</i> in mice causes endometrial dysregulation, infertility, and uterine cancer.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE3254
Variability in Microarray Labeling Methods
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Considerable variation in gene expression data from different DNA microarray platforms has been demonstrated. However, no characterization of the source of variation arising from labeling protocols has been performed. To analyze the variation associated with T7-based RNA amplification/labeling methods, aliquots of the Stratagene Human Universal Reference RNA were labeled using 3 eukaryotic target preparation methods and hybridized to a single array type (Affymetrix U95Av2). Variability was measured in yield and size distribution of labeled products, as well as in the gene expression results. All methods showed a shift in cRNA size distribution, when compared to un-amplified mRNA, with a significant increase in short transcripts for methods with long IVT reactions. Intra-method reproducibility showed correlation coefficients >0.99, while inter-method comparisons showed coefficients ranging from 0.94 to 0.98 and a nearly two-fold increase in coefficient of variation. Fold amplification for each method was positively correlated with the number of present genes. Two factors that introduced significant bias in gene expression data were observed: a) number of labeled nucleotides that introduces sequence dependent bias, and b) the length of the IVT reaction that introduces a transcript size dependent bias. This study provides evidence of amplification method dependent biases in gene expression data.

Publication Title

In vitro transcription amplification and labeling methods contribute to the variability of gene expression profiling with DNA microarrays.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE87483
Dnmt3a restrains mast cell inflammatory responses
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

By utilizing mast cells lacking Dnmt3a, we found that this enzyme is involved in restraining mast cell responses to stimuli, both in vitro and in vivo.

Publication Title

&lt;i&gt;Dnmt3a&lt;/i&gt; restrains mast cell inflammatory responses.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE16744
Wild-type and COUP-TFI-/- newborn inner ear microarrays
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

In order to establish a list of candidate direct COUP-TFI gene targets in the inner ear, we analyzed the differential gene expression profiles of the wild-type and the COUP-TFI/ P0 inner ears.

Publication Title

Genome-wide analysis of binding sites and direct target genes of the orphan nuclear receptor NR2F1/COUP-TFI.

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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