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accession-icon GSE92428
Expression data from mRNA in complex with EGFR from irradiated human A549 (ATCC CCL185) cells
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Immunoprecipitation of EGFR from irradiated A549 (ATCC CCL185) cells was performed in order to characterize bound mRNA species with the help of microarray analysis

Publication Title

New roles for nuclear EGFR in regulating the stability and translation of mRNAs associated with VEGF signaling.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE8087
RhoGDIbeta-responsive genes in MDA-MB-231 cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

RhoGDIbeta (ARHGDIB) is often expressed in tumor cells. It negatively regulates Rho-GTPases, but may have other functions as well. To analyze its effect on gene expression, RhoGDIbeta was suppressed by RNA interference in MDA-MB-231 breast cancer cells and changes in gene expression monitored by cDNA microarrays.

Publication Title

Cyclooxygenase-2 is a target gene of rho GDP dissociation inhibitor beta in breast cancer cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE138322
Next-generation hypomethylating agent SGI-110 primes acute myeloid leukemia cells to IAP antagonist by activating extrinsic and intrinsic apoptosis pathways
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Therapeutic efficacy of first-generation hypomethylating agents (HMAs) is limited in elderly acute myeloid leukemia (AML) patients. Therefore, combination strategies with targeted therapies are urgently needed. Here, we discover that priming with SGI-110 (guadecitabine), a next-generation HMA, sensitizes AML cells to ASTX660, a novel antagonist of cellular Inhibitor of Apoptosis Protein 1 and 2 (cIAP1/2) and X-linked IAP (XIAP). Importantly, SGI-110 and ASTX660 synergistically induced cell death in a panel of AML cell lines as well as in primary AML samples while largely sparing normal CD34+ human progenitor cells, underlining the translational relevance of this combination. Unbiased transcriptome analysis revealed that SGI-110 alone or in combination with ASTX660 upregulated the expression of key regulators of both extrinsic and intrinsic apoptosis signaling pathways such as TNFRSF10B (DR5), FAS and BAX. Individual knockdown of the death receptors TNFR1, DR5 and FAS significantly reduced SGI-110/ASTX660-mediated cell death, whereas blocking antibodies for TRAIL or FASLG failed to provide protection. Also, TNF-blocking antibody Enbrel had little protective effect on SGI110/ASTX660-induced cell death. Further, SGI-110 and ASTX660 acted in concert to promote cleavage of caspase-8 and BID, thereby providing a link between extrinsic and intrinsic apoptotic pathways. Consistently, sequential treatment with SGI-110 and ASTX660 triggered loss of mitochondrial membrane potential (MMP) and BAX activation, which contributes to cell death as BAX silencing significantly protected from SGI-110/ASTX660-mediated apoptosis. Together, these events culminated in activation of caspases-3/-7, nuclear fragmentation and cell death. In conclusion, SGI-110 and ASTX660 cooperatively induced apoptosis in AML cells by engaging extrinsic and intrinsic apoptosis pathways, highlighting the therapeutic potential of this combination for AML.

Publication Title

Next-generation hypomethylating agent SGI-110 primes acute myeloid leukemia cells to IAP antagonist by activating extrinsic and intrinsic apoptosis pathways.

Sample Metadata Fields

Cell line

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accession-icon SRP011992
MCMV infection of cultured mouse cells induces expression of miR-7a.
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

One goal of viral infection is to reprogram the host cell to optimize viral replication. As part of this process, viral miRNAs may compete for components of the miRNA/siRNA pathway as well as regulate cellular targets. Mouse Cytomegalovirus has been described to generate large numbers of viral miRNAs during lytic infection and was therefore used to analyze the impact of viral miRNAs on the host cell small RNA system as well as to check for sorting of viral small RNAs into specific Ago-proteins. Deep sequencing analysis of MCMV infected cells revealed that viral miRNAs represent only app. 13% of all detected miRNAs. All previously described MCMV miRNAs with the exception of miR-m88-1* were confirmed and for the MCMV miR-m01-1 hairpin an additional miRNA, designated miR-m01-1-3p, was found. Its presence was confirmed by qPCR and Northern Blot. Deep sequencing after RISC IP with antibodies specific for either Ago1 or Ago2 showed that all MCMV miRNAs are loaded into both RISC complexes. The ratio of MCMV to mouse miRNAs was not increased after immunoprecipitation of Ago-proteins. Viral miRNAs therefore do not overwhelm the host miRNA processing system nor are they preferentially incorporated into RISC. We found that 3 mouse miRNAs showed an altered expression due to MCMV infection. Down-regulation of miR-27a, as previously described, could be confirmed. In addition, miR-26a was down-regulated and an up-regulation of miR-7a dependent on viral protein expression could be observed. Overall design: Examination of small RNA expression in uninfected vs. infected cells, immunoprecipitation + sequencing of Ago1 and Ago2 loaded small RNAs in infected cells

Publication Title

Murine cytomegalovirus infection of cultured mouse cells induces expression of miR-7a.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE19891
Regulation of Splicing by Clinical Drugs
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Alternative splicing analysis after treatment with three clinically aproved drugs

Publication Title

Rapid-response splicing reporter screens identify differential regulators of constitutive and alternative splicing.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE33410
Comprehensive molecular characterization of the soybean rust disease [Embrapa-Soja - Iowa State Univ; 2005]
  • organism-icon Glycine max
  • sample-icon 117 Downloadable Samples
  • Technology Badge Icon Affymetrix Soybean Genome Array (soybean)

Description

Experimental design: 2 genotypes: PI230970 (resistant USDA Plant Introduction (PI) line containing SBR Rpp2 resistance gene) & Embrapa-48 (susceptible Brazilian cultivar) 2 treatments: Soybean rust challenge & mock infection 3 replications 10 time points: 6, 12, 18, 24, 36, 48, 72, 96, 120, 168hai TOTAL: 120 Affymetrix GeneChip(R) Soybean Genome Arrays ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Martijn van de Mortel. The equivalent experiment is GM2 at PLEXdb.]

Publication Title

Distinct biphasic mRNA changes in response to Asian soybean rust infection.

Sample Metadata Fields

Specimen part, Time

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accession-icon SRP034592
eRNA: A graphic user interface-based tool for RNA sequencing data analysis [mRNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

we performed RNA sequencing analysis using 10 tissue samples from human prostate and evaluated efficiency and accuracy of eRNA on mRNA-seq data analysis. Overall design: We sequenced mRNAs from the 10 human tissue samples. After that, we identified mRNAs in these samples against known human genes.

Publication Title

eRNA: a graphic user interface-based tool optimized for large data analysis from high-throughput RNA sequencing.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP006165
Massive parallel sequencing of newly synthesized, preexisting and bulk mRNA from 3t3 cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

To gain a deep understanding of mRNA turnover dynamics in mammalian cells, we pulse labeled newly synthesized RNA in 3t3 cells for 2 h with 4sU. RNA samples were fractionated into the newly synthesized and pre-existing fractions. Both fractions and the total RNA sample were analyzed by mRNA sequencing. We estimated mRNA half-lives based on the ratios of newly synthesized RNA/total RNA ratio and the preexisting RNA/total RNA.

Publication Title

Global quantification of mammalian gene expression control.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP026297
Genome wide mapping of effects of U6atac knockdown on pre-mRNA splicing
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

This project looks into experimentally identifying all minor introns by knocking down the minor spliceosome''s catalytic snRNP, U6atac. Overall design: Knockdown of U6atac by antisense morpholino followed by examining mRNA splicing by RNA-seq

Publication Title

Minor introns are embedded molecular switches regulated by highly unstable U6atac snRNA.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE84788
Compared performance of Affymetrix HTA arrays and Illumina RNAseq for the analysis of tumours
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

RNA sequencing and transcriptome arrays analyses show opposing results for alternative splicing in patient derived samples.

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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