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accession-icon GSE15396
Peripheral blood mononuclear, DU145, and HCT116 cells treated with a CDK inhibitor
  • organism-icon Homo sapiens
  • sample-icon 147 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Preclinical biomarkers for a cyclin-dependent kinase inhibitor translate to candidate pharmacodynamic biomarkers in phase I patients.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE15395
HCT116 tumor cells treated with a CDK inhibitor
  • organism-icon Homo sapiens
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A genomics-based approach to identify pharmacodynamic biomarkers was used for a CDK (cyclin-dependent kinase) inhibitory drug. R547 is a potent CDK inhibitor with a potent anti-proliferative effect at pharmacologically relevant doses, and is currently in Phase I clinical trials. Utilizing preclinical data derived from microarray experiments, we identified pharmacodynamic biomarkers to test in blood samples from patients in clinical trials. These candidate biomarkers were chosen based on several criteria: relevance to the mechanism of action of R547, dose responsiveness in preclinical models, and measurable expression in blood samples. We identified 26 potential biomarkers of R547 action and tested their clinical validity in patient blood samples by quantitative real-time PCR analysis.

Publication Title

Preclinical biomarkers for a cyclin-dependent kinase inhibitor translate to candidate pharmacodynamic biomarkers in phase I patients.

Sample Metadata Fields

Cell line

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accession-icon GSE15392
DU145 tumor cells treated with a CDK inhibitor
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A genomics-based approach to identify pharmacodynamic biomarkers was used for a CDK (cyclin-dependent kinase) inhibitory drug. R547 is a potent CDK inhibitor with a potent anti-proliferative effect at pharmacologically relevant doses, and is currently in Phase I clinical trials. Utilizing preclinical data derived from microarray experiments, we identified pharmacodynamic biomarkers to test in blood samples from patients in clinical trials. These candidate biomarkers were chosen based on several criteria: relevance to the mechanism of action of R547, dose responsiveness in preclinical models, and measurable expression in blood samples. We identified 26 potential biomarkers of R547 action and tested their clinical validity in patient blood samples by quantitative real-time PCR analysis.

Publication Title

Preclinical biomarkers for a cyclin-dependent kinase inhibitor translate to candidate pharmacodynamic biomarkers in phase I patients.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE15389
Peripheral blood mononuclear cells treated with a CDK inhibitor
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A genomics-based approach to identify pharmacodynamic biomarkers was used for a CDK (cyclin-dependent kinase) inhibitory drug. R547 is a potent CDK inhibitor with a potent anti-proliferative effect at pharmacologically relevant doses, and is currently in Phase I clinical trials. Utilizing preclinical data derived from microarray experiments, we identified pharmacodynamic biomarkers to test in blood samples from patients in clinical trials. These candidate biomarkers were chosen based on several criteria: relevance to the mechanism of action of R547, dose responsiveness in preclinical models, and measurable expression in blood samples. We identified 26 potential biomarkers of R547 action and tested their clinical validity in patient blood samples by quantitative real-time PCR analysis.

Publication Title

Preclinical biomarkers for a cyclin-dependent kinase inhibitor translate to candidate pharmacodynamic biomarkers in phase I patients.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE54417
mTORC1 maintains renal tubular homeostasis and is essential in response to ischemic stress
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The mechanistic target of rapamycin mTORC1 is a key regulator of cell metabolism and autophagy. Despite widespread clinical use of mTOR inhibitors, the role of mTORC1 in renal tubular function and kidney homeostasis remains elusive. By utilizing constitutive and inducible deletion of conditional Raptor alleles in renal tubular epithelial cells, we discovered that mTORC1 deficiency caused a marked concentrating defect, loss of tubular cells and slowly progressive renal fibrosis. Transcriptional profiling revealed that mTORC1 maintains renal tubular homeostasis by controlling mitochondrial metabolism and biogenesis as well as transcellular transport processes involved in counter-current multiplication and urine concentration. Although mTORC2 partially compensated the loss of mTORC1, exposure to ischemia and reperfusion injury exaggerated the tubular damage in mTORC1-deficient mice, and caused pronounced apoptosis, diminished proliferation rates and delayed recovery. These findings identify mTORC1 as an essential regulator of tubular energy metabolism and as a crucial component of ischemic stress responses. Pharmacological inhibition of mTORC1 likely affects tubular homeostasis, and may be particularly deleterious if the kidney is exposed to acute injury. Furthermore, the combined inhibition of mTORC1 and mTORC2 may increase the susceptibility to renal damage.

Publication Title

mTORC1 maintains renal tubular homeostasis and is essential in response to ischemic stress.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE75802
Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner (RNA 2015)
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner.

Sample Metadata Fields

Cell line

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accession-icon GSE75800
Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner (RNA 2015), Exp 1
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Experiment 1 - miR-155 and miR-199 Phenotype

Publication Title

Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner.

Sample Metadata Fields

Cell line

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accession-icon GSE75801
Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner (RNA 2015), Exp 2
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Experiment 2 - MiRNA mimics have a length and passenger strand specific effect

Publication Title

Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner.

Sample Metadata Fields

Cell line

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accession-icon E-MEXP-736
Transcription profiling by array of zebrafish ZF4 and PAC2 cells after treatment with fetal calf serum
  • organism-icon Danio rerio
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

In this study, zebrafish ZF4 and PAC2 cells were seeded in 0.5% or 1% FCS, respectively, and grown to 85% confluence and subsequently cultured for 24 hours without serum. Then they were treated with either medium without serum or medium with serum (ZF4 in 10% FCS and PAC2 in 15% FCS).After 6 hours, RNA was extracted from the cells and analyzed using the Affymetrix GeneChip Zebrafish Genome Array (GeneChip 430). There are 15502 oligonucleotide sets on each Affymetrix chip, 14895 of which can be linked to a UniGene assignment (Unigene data set 06-12-2005).

Publication Title

Genetic and transcriptome characterization of model zebrafish cell lines.

Sample Metadata Fields

Cell line, Compound

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accession-icon GSE76002
Maternal Obesity is Associated with Ovarian Inflammation and Up-regulation of Early Growth Response Factor (Egr)-1
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Maternal obesity during the pre-implantation period leads to a pro-inflammatory milieu in the ovaries. We conducted a global transcriptomic profiling in ovaries from TEN fed rats during the pre-implantation period. Microarray analysis revealed that obesity lead to increased expression of genes related to inflammation, decreased glucose transporters, and dysregulation of ovarian function-related genes in the ovaries. Our results suggest maternal obesity led to an up-regulation of inflammatory genes and Egr-1 protien expression in peri-implantation ovarian tissue, and a concurrent down-regulation of glucose transporters mRNA and AKT and PI3K protein levels.

Publication Title

Maternal obesity is associated with ovarian inflammation and upregulation of early growth response factor 1.

Sample Metadata Fields

Sex, 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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