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accession-icon GSE55624
Inhibiting tankyrases sensitizes KRAS mutant cancer cells to MEK inhibitors by FGFR2 feedback signaling
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Tankyrases (TNKS) play roles in Wnt signaling, telomere homeostasis and mitosis, offering attractive targets for anti-cancer treatment. Using unbiased combination screening in a large panel of cancer cell lines, we have identified a strong synergy between TNKS and MEK inhibitors in KRAS mutant cancer cells. Our study uncovers a novel function of TNKS in the relief of a feedback loop induced by MEK inhibition on FGFR2 signaling pathway. Moreover, dual inhibition of TNKS and MEK leads to more robust apoptosis and anti-tumor activity both in vitro and in vivo than effects observed by previously reported MEK inhibitor combinations. Altogether, our results show how a novel combination of TNKS and MEK inhibitors can be highly effective in targeting KRAS mutant cancers by suppressing a newly discovered resistance mechanism.

Publication Title

Inhibiting Tankyrases sensitizes KRAS-mutant cancer cells to MEK inhibitors via FGFR2 feedback signaling.

Alternate Accession IDs

E-GEOD-55624

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE27049
Effects of Dcp1a and Dcp2 knockdown during mouse oocyte maturation
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Oocyte maturation is accompanied by a transition from mRNA stability to instability. We investigated the role of DCP1A and DCP2, proteins responsible for mRNA decapping, in mRNA destabilization during mouse oocyte maturation.

Publication Title

Maternally recruited DCP1A and DCP2 contribute to messenger RNA degradation during oocyte maturation and genome activation in mouse.

Alternate Accession IDs

E-GEOD-27049

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE25846
Expression data from IL-10+ and IL-10- CD8 T cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

IL-10 is an anti-inflammatory cytokine that has been shown to be produced by antigen-specific CD8 T cells at the peak of viral encephalitis. We found that IL-10+CD8 T cells are more activated and cytolytic than IL-10-CD8 T cells.

Publication Title

Highly activated cytotoxic CD8 T cells express protective IL-10 at the peak of coronavirus-induced encephalitis.

Alternate Accession IDs

E-GEOD-25846

Sample Metadata Fields

Specimen part

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accession-icon SRP003764
Quantitative and qualitative RNA-seq based evaluation of Epstein-Barr virus transcription in type I latency Burkitt's lymphoma cells
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

RNASeq was used to evaluate the Epstein-Barr virus transcriptome. A pipeline was developed for the analysis of EBV specific transcripts and applied to EBV positive Burkitt's lymphoma cells exhibiting type I latency. PolyA fractions of whole cell RNA was sequenced using 74b single-end reads on an Illumina GA2x machine.

Publication Title

Quantitative and qualitative RNA-Seq-based evaluation of Epstein-Barr virus transcription in type I latency Burkitt's lymphoma cells.

Alternate Accession IDs

None

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE64536
STAT3 knockdown during transformation
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

siSTAT3 knockdown of a tamoxifen initiated, transformation inducible, breast cancer model system (MCF10A-ER-Src), with associated controls of EtOH and siNEG treatments.

Publication Title

STAT3 acts through pre-existing nucleosome-depleted regions bound by FOS during an epigenetic switch linking inflammation to cancer.

Alternate Accession IDs

E-GEOD-64536

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE17969
Effects of Hfe-/- and dietary iron overload on gene expression in the liver and duodenum of mice
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIllumina mouse-6 v1.1 expression beadchip

Description

Iron is an essential trace element whose absorption is usually tightly regulated in the duodenum. HFE-related hereditary hemochromatosis (HH) is characterized by abnormally low expression of the iron-regulatory hormone, hepcidin, which results in increased iron absorption. The liver is crucial for iron homeostasis as it is the main production site of hepcidin. The aim of this study was to explore and compare the genome-wide transcriptome response to Hfe deficiency and dietary iron overload in murine liver and duodenum.

Publication Title

Global transcriptional response to Hfe deficiency and dietary iron overload in mouse liver and duodenum.

Alternate Accession IDs

E-GEOD-17969

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE20556
Karrikin responses in Arabidopsis thaliana seed
  • organism-icon Arabidopsis thaliana
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Karrikins promote seed germination in Arabidopsis thaliana. Completion of germination (protrusion of the radicle) is not observed until ~72 h in dormant wildtype seed under these conditions. We used microarrays to examine karrikin-induced transcriptional changes after 24 h of imbibition. Transcriptional changes may indicate events leading to karrikin-induced germination or karrikin-specific markers.

Publication Title

Karrikins enhance light responses during germination and seedling development in Arabidopsis thaliana.

Alternate Accession IDs

E-GEOD-20556

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE27316
Effects of long dsRNA expression in HeLa and HEK293 cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Double-stranded RNA (dsRNA) can enter different pathways in mammalian cells, including sequence-specific RNA interference, sequence-independent interferon response and editing by adenosine deaminases. To assess the potential of expressed dsRNA to induce interferon stimulated genes in somatic cells, we performed microarray analysis of HEK293 and HeLa cells transfected with a MosIR plasmid expressing an mRNA with a long inverted repeat structure in its 3UTR (MosIR) or with a parental MosIR plasmid (without inverted repeat) as a control.

Publication Title

dsRNA expression in the mouse elicits RNAi in oocytes and low adenosine deamination in somatic cells.

Alternate Accession IDs

E-GEOD-27316

Sample Metadata Fields

Specimen part

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accession-icon GSE12306
Gene expression profiles of the intralobular and interlobular fibroblast populations within the human breast
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The normal growth and function of mammary epithelial cells depend on interactions with the supportive stroma. Alterations in this communication can lead to the progression or expansion of malignant growth. The human mammary gland contains two distinctive types of fibroblasts within the stroma. The epithelial cells are surrounded by loosely connected intralobular fibroblasts, which are subsequently surrounded by the more compacted interlobular fibroblasts. The different proximity of these fibroblasts to the epithelial cells suggests distinctive functions for these two subtypes. In this report, we compared the gene expression profiles between the two stromal subtypes.

Publication Title

Interlobular and intralobular mammary stroma: genotype may not reflect phenotype.

Alternate Accession IDs

E-GEOD-12306

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE40215
shRNA knockdown of the transcription factor NF-YA (NFYA)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

NF-Y, a trimeric transcription factor (TF) composed of two histone-like subunits (NF-YB (NFYB) and NF-YC (NFYC)) and a sequence-specific subunit (NF-YA), binds to the CCAAT motif, a common promoter element. Genome-wide mapping reveals 5,000-15,000 NF-Y binding sites depending on the cell type, with the NF-YA and NF-YB subunits binding asymmetrically with respect to the CCAAT motif. Despite being characterized as a proximal promoter TF, only 25% of NF-Y sites map to promoters. A comparable number of NF-Y sites are located at enhancers, many of which are tissue specific, and nearly half of NF-Y sites are in select subclasses of HERV LTR repeats. Unlike most TFs, NF-Y can access its target DNA motif in inactive (non-modified) or polycomb-repressed chromatin domains. Unexpectedly, NF-Y extensively co-localizes with FOS in all genomic contexts, and at promoters and enhancers this often occurs in the absence of JUN and the AP-1 motif. NF-Y also co-associates with a select cluster of growth-controlling and oncogenic TFs, consistent with the abundance of CCAAT motifs in the promoters of genes overexpressed in cancer. Interestingly, NF-Y and several growth-controlling TFs bind in a stereo-specific manner, suggesting a mechanism for cooperative action at promoters and enhancers. Our results indicate that NF-Y is not merely a commonly-used, proximal promoter TF, but rather performs a more diverse set of biological functions, many of which are likely to involve co-association with FOS.

Publication Title

NF-Y coassociates with FOS at promoters, enhancers, repetitive elements, and inactive chromatin regions, and is stereo-positioned with growth-controlling transcription factors.

Alternate Accession IDs

E-GEOD-40215

Sample Metadata Fields

Cell line, Treatment

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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