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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.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP057563
Investigating GPR34 expression regulation using whole transcriptome sequencing of spleens and dendritic cells from wildtype and GPR34 knockout mice
  • organism-icon Mus musculus
  • sample-icon 29 Downloadable Samples
  • Technology Badge IconIllumina HiScanSQ, Illumina HiSeq 2500

Description

Naive spleens as well as naive and LPS-treated dendritic cells from wildtype and GPR34-/- mice were sequenced to integrate expression profiles with protein interaction networks and find functional modules that are affected by GPR34 Overall design: Expression profiles of dendritic cells and whole spleens were generated using Illumina HiSeq 2500/ Illumina HiScan

Publication Title

Dendritic Cells Regulate GPR34 through Mitogenic Signals and Undergo Apoptosis in Its Absence.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE28274
Real-time Monitoring of Cisplatin Toxicity on Cancer Cells
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Treatment of MCF7 breast cancer cells by cisplatin leads to a very specific metabolic response and an onset of cell death about 10-11 h after beginning of treatment. For more detailed understanding of the molecular processes underlying the specific metabolic response, mRNA was isolated from MCF7 cells when the specific changes, (i) induction of glycolysis and (ii) onset of cell death, were detected during online measurement in the cell biosensor system.

Publication Title

Real-time monitoring of cisplatin-induced cell death.

Sample Metadata Fields

Cell line

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accession-icon GSE11398
Expression profiling in transgenic FVB/N embryonic stem cells overexpressing STAT3.
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

To investigate the importance of STAT3 in the establishment of ES cells we have in a first step derived stable pluripotent embryonic stem cells from transgenic FVB mice expressing a conditional tamoxifen dependent STAT3-MER fusion protein. In a second step, STAT3-MER overexpressing cells were used to identify STAT3 pathway-related genes by expression profiling in order to identify new key-players involved in maintenance of pluripotency in ES cells.

Publication Title

Expression profiling in transgenic FVB/N embryonic stem cells overexpressing STAT3.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE2278
MVC19_expression_profiles
  • organism-icon Mus musculus
  • sample-icon 97 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

gene expression profiles of leukocytes from blood (WBCs) and spleen harvested at an early (two hours) time point after injury or sham injury in mice subjected to trauma-hemorrhage, burn injury or lipopolysaccharide (LPS)-infusion at three experimental sites

Publication Title

Commonality and differences in leukocyte gene expression patterns among three models of inflammation and injury.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP090989
Altered hepatic lipid metabolism in mice lacking both the melanocortin type 4 receptor and low density lipoprotein receptor
  • organism-icon Mus musculus
  • sample-icon 83 Downloadable Samples
  • Technology Badge IconIllumina HiScanSQ

Description

In this study we investigated the effect of normal chow (0 % cholesterol) or a semisynthetic diet (high sugar, 0.02 % cholesterol) fed to mice lacking either Mc4r, Ldlr or both and wildtype animals (total of 4 genotypes) by generating an expression profile of their livers after 6 months by RNA sequencing. Overall design: We investigated mice lacking either Mc4r, Ldlr or both and wildtype animals fed with normal chow or a semisynthetic diet with 10 replicates for each of the 8 resulting groups (4 genotypes * 2 diets).

Publication Title

Severe Atherosclerosis and Hypercholesterolemia in Mice Lacking Both the Melanocortin Type 4 Receptor and Low Density Lipoprotein Receptor.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

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accession-icon GSE22776
Dynamics of the Transcriptome in the Primate Ovulatory Follicle
  • organism-icon Macaca mulatta
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Rhesus Macaque Genome Array (rhesus)

Description

Experiments were designed to evaluate changes in the transcriptome (mRNA levels) in the ovulatory, luteinizing follicle of rhesus monkeys, using a controlled ovulation (COv) model that permits analysis of the naturally selected, dominant follicle at specific intervals (0, 12, 24, 36 hours) after exposure to an ovulatory (exogenous hCG) stimulus during the menstrual cycle. Total RNA was prepared from individual follicles (n=4-8/timepoint), with an aliquot used for microarray analysis (AffymetrixTM Rhesus Macaque Genome Array) and the remainder applied to quantitative real-time PCR (q-PCR) assays. The microarray data from individual samples distinctly clustered according to timepoints, and ovulated follicles displayed markedly different expression patterns from unruptured follicles at 36 h. Between timepoint comparisons revealed profound changes in mRNA expression profiles. The dynamic pattern of mRNA expression for steroidogenic enzymes (CYP17A, CYP19A, HSD3B2, HSD11B1, HSD11B2), StAR, and gonadotropin receptors (LHCGR, FSHR) as determined by microarray analysis correlated precisely with those from blinded q-PCR assays. Patterns of mRNA expression for EGF-like factors (AREG, EREG) and processes (HAS2, TNFAIP6) implicated in cumulus-oocyte maturation/expansion were also comparable between assays. Thus, several mRNAs displayed the expected expression pattern for purported theca (e.g., CYP17A, AREG), granulosa (CYP19A, FSHR), cumulus (HAS2, TNFAIP6) cell, and surface epithelium (HSD11B) related genes in the rodent/primate preovulatory follicle. This database will be of great value in analyzing molecular and cellular pathways associated with periovulatory events in the primate follicle (e.g. follicle rupture, luteinization, inflammatory response, and angiogenesis), and for identifying novel gene products controlling mammalian fertility.

Publication Title

Dynamics of the transcriptome in the primate ovulatory follicle.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE48832
Expression from Escherichia coli
  • organism-icon Escherichia coli, Escherichia coli str. k-12 substr. mg1655
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

COLOMBOS v2.0: an ever expanding collection of bacterial expression compendia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE48776
Gene expression from Escherichia coli.
  • organism-icon Escherichia coli
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

Gene expression from Escherichia coli.

Publication Title

COLOMBOS v2.0: an ever expanding collection of bacterial expression compendia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP151057
IGF2BP1 promotes SRF-dependent transcription in cancer in a m6A- and miRNA-dependent manner [Huh-7]
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The oncofetal mRNA-binding protein IGF2BP1 and the transcriptional regulator SRF modulate gene expression in cancer. In cancer cells, we demonstrate that IGF2BP1 promotes the expression of SRF in a conserved and N6-methyladenosine (m6A) dependent manner by impairing the miRNA-directed decay of the SRF mRNA. This results in enhanced SRF-dependent transcriptional activity and promotes tumor cell growth and invasion. At the post-transcriptional level, IGF2BP1 sustains the expression of various SRF-target genes. The majority of these SRF/IGF2BP1-enhanced genes, including PDLIM7 and FOXK1, shows conserved upregulation with SRF and IGF2BP1 synthesis in cancer. PDLIM7 and FOXK1 promote tumor cell growth and were reported to enhance cell invasion. Consistently, 35 SRF/IGF2BP1-dependent genes showing conserved association with SRF and IGF2BP1 expression indicate a poor overall survival probability in ovarian, liver and lung cancer. In conclusion, these findings identify the SRF/IGF2BP1-, miRNome- and m6A-dependent control of gene expression as a conserved oncogenic driver network in cancer. Overall design: total RNA-Seq of Huh-7 cells transfected with either control siRNAs (siC) or siRNAs directed against IGF2BP1.

Publication Title

IGF2BP1 promotes SRF-dependent transcription in cancer in a m6A- and miRNA-dependent manner.

Sample Metadata Fields

Cell line, 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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