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accession-icon GSE23674
Expression data from human colon cancer cell line HCT116 with NFX1-91 knockdown and control cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

NFX1-91, a novel E6 cellular downstream target, functions as a transcriptional regulator and is involved in repressing hTERT expression. Other functions and downstream targets regulated by NFX1-91 were not well understood. We used microarrays to determine gene expression deregulated when NFX1-91 was knocked down.

Publication Title

NFX1 plays a role in human papillomavirus type 16 E6 activation of NFkappaB activity.

Sample Metadata Fields

Cell line

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accession-icon GSE57034
BAC-trap studies of Purkinje cells in normal and FMR1 mutant mice
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The molecular mechanism(s) leading to Purkinje neuron loss in the neurodegenerative disorder Fragile X-Associated Tremor/Ataxia Syndrome (FXTAS) are limited by the complex morphology of this cell type. Purkinje neurons are notoriously difficult to isolate and maintain in culture presenting considerable difficultly to identify molecular changes in response to riboCGG repeat-containing mRNA that induces neurotoxicity in FXTAS. Several studies have uncovered a number of RNA binding proteins involved in translation that aberrantly interact with the toxic RNA; however, whether these interactions alter the translational profile of cells has not been investigated. Here we employ bacTRAP translational profiling to demonstrate that Purkinje neurons ectopically expressing 90 CGG repeats exhibit a dramatic change in their translational profile even prior to the onset of riboCGG-induced phenotypes. This approach identified nearly 500 transcripts that are differentially associated with ribosomes in r(CGG)90-expressing mice. Functional annotation cluster analysis revealed broad ontologies enriched in the r(CGG)90 list, including RNA binding and response to stress. Intriguingly, a transcript for the Tardbp gene, implicated in a number of other neurodegenerative disorders, exhibits altered association with ribosomes in the presence of r(CGG)90 repeats. We therefore tested and showed that reduced association of Tardbp mRNA with the ribosomes results in a loss of TDP-43 protein expression in r(CGG)90expressing Purkinje neurons. Furthermore, we showed that TDP-43 could modulate the rCGG repeat-mediated toxicity in a Drosophila model that we developed previously. These findings together suggest translational dysregulation may be an underlying mechanism of riboCGG-induced neurotoxicity and provide insight into the pathogenicity of FXTASBAC-trap studies of Purkinje cels in normal and mutant mice

Publication Title

CGG repeats in RNA modulate expression of TDP-43 in mouse and fly models of fragile X tremor ataxia syndrome.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP072383
Transcriptome of Zfp36l1-deficient MZ B cells, WT MZ B cells and WT FO B cells.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: to identify the effects on the transcriptome of deleting ZFP36L1 in MZ B cells Overall design: Method (MZ B cells): RNAseq libraries were prepared from 5ng RNA isolated from sorted ex-vivo MZ B cells. Total RNA samples were sent to Aros Applied Biotechnology A/S and were prepared using the Clontech SMARTer kit. Libraries were sequenced (100bp paired end) on the Illumina Hiseq. Method (FO B cells): RNAseq libraries were prepared from RNA isolated from sorted ex-vivo FO B cells. Total RNA samples were sent to Aros Applied Biotechnology A/S and were prepared using the TruSeq Stranded mRNA Sample Prep Kit (Illumina). Libraries were sequenced (100bp single end) on the Illumina Hiseq.

Publication Title

Maintenance of the marginal-zone B cell compartment specifically requires the RNA-binding protein ZFP36L1.

Sample Metadata Fields

Specimen part, Cell line, Subject

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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 GSE14347
Knock-out of the nuclear localization in pp65 protein of Cytomegalovirus: biologic and immunologic effects
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The CMVpp65 protein contains 2 bipartite nuclear localization signals (NLS) at 415-438aa and 537-561aa near the carboxy terminus of CMVpp65 and a phosphate binding site related to kinase activity at lysine-436. A mutation of pp65 having K436N (CMVpp65mII) and further deletion of aa537-561 resulted in a novel protein (pp65mIINLSKO) that is kinase-less and has markedly reduced nuclear localization. The purpose of this report was to study the biologic characterization of this protein and its immunogenicity compared to native pp65.Using RNA microarray analysis, expression of the CMVpp65mIINLSKO had less effect on cell cycle pathways than did the native CMVpp65 and a greater effect on cell surface signalling pathways involving immune activity. It is concluded that the removal of the primary NLS motif from pp65 does not impair its immunogenicity and may actually be advantageous in the design of a vaccine.

Publication Title

Biologic and immunologic effects of knockout of human cytomegalovirus pp65 nuclear localization signal.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP041955
Homo sapiens Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The use of low quality RNA samples in whole-genome gene expression profiling remains controversial. It is unclear if transcript degradation in low quality RNA samples occurs uniformly, in which case the effects of degradation can be normalized, or whether different transcripts are degraded at different rates, potentially biasing measurements of expression levels. This concern has rendered the use of low quality RNA samples in whole-genome expression profiling problematic. Yet, low quality samples are at times the sole means of addressing specific questions – e.g., samples collected in the course of fieldwork.

Publication Title

RNA-seq: impact of RNA degradation on transcript quantification.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE15271
Expression data from CXCR4pos (centroblast) and CXCR4neg (centrocyte) Human Germinal Center B cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Functional discrimination between normal centroblast and centrocyte obtained from human inflamed tonsils after cell sorting.

Publication Title

CXCR4 expression functionally discriminates centroblasts versus centrocytes within human germinal center B cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE15203
Histone H2B K111A
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Total RNA from three replicate cultures of wild-type and mutant strains was isolated and the expression profiles were determined using Affymetrix arrays. Comparisons between the sample groups allow the identification of genes regulated by histone H2B K111A mutant.

Publication Title

Novel functional residues in the core domain of histone H2B regulate yeast gene expression and silencing and affect the response to DNA damage.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE15202
Histone H2B R102A
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Total RNA from three replicate cultures of wild-type and mutant strains was isolated and the expression profiles were determined using Affymetrix arrays. Comparisons between the sample groups allow the identification of genes regulated by histone H2B R102A mutant.

Publication Title

Novel functional residues in the core domain of histone H2B regulate yeast gene expression and silencing and affect the response to DNA damage.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE85500
Expression data from nucleus accumbens of rats infused with lentivirus LV-GFP and LV-miR-495 overexpression constructs
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 2.0 ST Array (ragene20st)

Description

The goal of the study was to determine the effect of lentiviral- mediated overexpression of miR-495 (LV-miR-495) on the levels of gene expression in the nuclues accumbens of rats relative to control rats injected with the empty vector (LV-GFP).

Publication Title

In silico identification and in vivo validation of miR-495 as a novel regulator of motivation for cocaine that targets multiple addiction-related networks in the nucleus accumbens.

Sample Metadata Fields

No sample metadata fields

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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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