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accession-icon GSE119135
Transcriptomic profiles of tissues from rats treated with drug combinations
  • organism-icon Rattus norvegicus
  • sample-icon 866 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Time

View Samples
accession-icon GSE119133
Transcriptomic profiles of tissues from rats treated with drug combinations [Study 3]
  • organism-icon Rattus norvegicus
  • sample-icon 290 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Combinations of anticancer agents may have synergistic anti-tumor effects, but enhanced toxicity often limit their clinical use. The risk that combinations of two or more drugs will cause adverse effects that are more severe than drugs used as monotherpies can be hypothesized from comprehensive analysis of each compounds activity. We generated microarray gene expression data following a single dose of agents administered individually with that of the agents administered in a combination. The key objective of this initiative is to generate and make publicly available key high-content gene expression data sets for mechanistic hypothesis generation for several anticancer drug combinations. The expectation is that availability of tissue-based genomic information that are derived from target tissues will facilitate the generation and testing of mechanistic hypotheses. The view is that availability of these data sets for bioinformaticians and other scientists will contribute to analysis of these data and evaluation of the approach.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Time

View Samples
accession-icon GSE119122
Transcriptomic profiles of tissues from rats treated with drug combinations [Study 1]
  • organism-icon Rattus norvegicus
  • sample-icon 288 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Combinations of anticancer agents may have synergistic anti-tumor effects, but enhanced toxicity often limit their clinical use. The risk that combinations of two or more drugs will cause adverse effects that are more severe than drugs used as monotherpies can be hypothesized from comprehensive analysis of each compounds activity. We generated microarray gene expression data following a single dose of agents administered individually with that of the agents administered in a combination. The key objective of this initiative is to generate and make publicly available key high-content gene expression data sets for mechanistic hypothesis generation for several anticancer drug combinations. The expectation is that availability of tissue-based genomic information that are derived from target tissues will facilitate the generation and testing of mechanistic hypotheses. The view is that availability of these data sets for bioinformaticians and other scientists will contribute to analysis of these data and evaluation of the approach.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Time

View Samples
accession-icon GSE119129
Transcriptomic profiles of tissues from rats treated with drug combinations [Study 2]
  • organism-icon Rattus norvegicus
  • sample-icon 288 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Combinations of anticancer agents may have synergistic anti-tumor effects, but enhanced toxicity often limit their clinical use. The risk that combinations of two or more drugs will cause adverse effects that are more severe than drugs used as monotherpies can be hypothesized from comprehensive analysis of each compounds activity. We generated microarray gene expression data following a single dose of agents administered individually with that of the agents administered in a combination. The key objective of this initiative is to generate and make publicly available key high-content gene expression data sets for mechanistic hypothesis generation for several anticancer drug combinations. The expectation is that availability of tissue-based genomic information that are derived from target tissues will facilitate the generation and testing of mechanistic hypotheses. The view is that availability of these data sets for bioinformaticians and other scientists will contribute to analysis of these data and evaluation of the approach.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Time

View Samples
accession-icon GSE63902
Toxicogenomics profiling of bone marrow from rats treated with topotecan in combination with oxaliplatin: a mechanistic strategy to inform combination toxicity.
  • organism-icon Rattus norvegicus
  • sample-icon 93 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Combinations of anticancer agents may have synergistic anti-tumor effects, but enhanced hematological toxicity often limit their clinical use. We examined whether microarray profiles could be used to compare early molecular responses following a single dose of agents administered individually with that of the agents administered in a combination. Six patterns of co-expressed genes were detected at the 1-hour time point which indicate regulatory expression of genes dependent on the order of the administration. When topotecan is given first, several signal transduction transcription factors associated with cancer or inactivation of a tumor suppressor were co-regulating gene expression. These results suggest alterations in histone biology, chromatin remodeling, DNA repair, bone regeneration, and respiratory and oxidative phosphorylation are among the prominent pathways modulated in bone marrow from animals treated with an oxaliplatin/topotecan combination.

Publication Title

Toxicogenomics profiling of bone marrow from rats treated with topotecan in combination with oxaliplatin: a mechanistic strategy to inform combination toxicity.

Sample Metadata Fields

Sex, Age, Specimen part, Time

View Samples
accession-icon GSE116436
Drug-induced change in gene expression across NCI-60 cell lines after exposure to 15 anticancer agents for 2, 6 and 24h
  • organism-icon Homo sapiens
  • sample-icon 6633 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2), Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

To identify patterns of drug-induced gene modulation that occur across different cell types, we measured gene expression changes across NCI-60 cell lines after exposure to 15 anticancer agents. The results were integrated into a database and set of interactive analysis tools, the NCI Transcriptional Pharmacodynamics Workbench (NCI TPW), intended to allow exploration of gene expression modulation, including by molecular pathway, drug target, and association with drug sensitivity. We identified common transcriptional responses across drugs and cell types and uncovered cell signaling pathway–specific gene expression changes associated with drug sensitivity. We also demonstrated the value of this tool for investigating clinically relevant molecular hypotheses, utilizing the NCI TPW to assess drug-induced expression changes in genes associated with immune function and epithelial-mesenchymal transition, and to identify candidate biomarkers for drug activity. The NCI TPW provides a comprehensive resource to facilitate understanding of tumor cell characteristics that define sensitivity to anticancer drugs.

Publication Title

The NCI Transcriptional Pharmacodynamics Workbench: A Tool to Examine Dynamic Expression Profiling of Therapeutic Response in the NCI-60 Cell Line Panel.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE76311
Human hepatocellular carcinoma (HCC) and Cholangiocarcinoma (CCA) from Thailand Initiative in Genomics and Expression Research for Liver Cancer (TIGER-LC)
  • organism-icon Homo sapiens
  • sample-icon 304 Downloadable Samples
  • Technology Badge Icon Affymetrix Genome-Wide Human SNP 6.0 Array (genomewidesnp6), Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Common Molecular Subtypes Among Asian Hepatocellular Carcinoma and Cholangiocarcinoma.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE116446
Drug-induced change in gene expression across NCI-60 cell lines after exposure to 15 anticancer agents for 2, 6 and 24h (paclitaxel)
  • organism-icon Homo sapiens
  • sample-icon 538 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a), Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

To identify patterns of drug-induced gene modulation that occur across different cell types, we measured gene expression changes across NCI-60 cell lines after exposure to 15 anticancer agents. The results were integrated into a database and set of interactive analysis tools, the NCI Transcriptional Pharmacodynamics Workbench (NCI TPW), intended to allow exploration of gene expression modulation, including by molecular pathway, drug target, and association with drug sensitivity. We identified common transcriptional responses across drugs and cell types and uncovered cell signaling pathwayspecific gene expression changes associated with drug sensitivity. We also demonstrated the value of this tool for investigating clinically relevant molecular hypotheses, utilizing the NCI TPW to assess drug-induced expression changes in genes associated with immune function and epithelial-mesenchymal transition, and to identify candidate biomarkers for drug activity. The NCI TPW provides a comprehensive resource to facilitate understanding of tumor cell characteristics that define sensitivity to anticancer drugs.

Publication Title

The NCI Transcriptional Pharmacodynamics Workbench: A Tool to Examine Dynamic Expression Profiling of Therapeutic Response in the NCI-60 Cell Line Panel.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE116442
Drug-induced change in gene expression across NCI-60 cell lines after exposure to 15 anticancer agents for 2, 6 and 24h (erlotinib)
  • organism-icon Homo sapiens
  • sample-icon 534 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a), Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

To identify patterns of drug-induced gene modulation that occur across different cell types, we measured gene expression changes across NCI-60 cell lines after exposure to 15 anticancer agents. The results were integrated into a database and set of interactive analysis tools, the NCI Transcriptional Pharmacodynamics Workbench (NCI TPW), intended to allow exploration of gene expression modulation, including by molecular pathway, drug target, and association with drug sensitivity. We identified common transcriptional responses across drugs and cell types and uncovered cell signaling pathwayspecific gene expression changes associated with drug sensitivity. We also demonstrated the value of this tool for investigating clinically relevant molecular hypotheses, utilizing the NCI TPW to assess drug-induced expression changes in genes associated with immune function and epithelial-mesenchymal transition, and to identify candidate biomarkers for drug activity. The NCI TPW provides a comprehensive resource to facilitate understanding of tumor cell characteristics that define sensitivity to anticancer drugs.

Publication Title

The NCI Transcriptional Pharmacodynamics Workbench: A Tool to Examine Dynamic Expression Profiling of Therapeutic Response in the NCI-60 Cell Line Panel.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE116451
Drug-induced change in gene expression across NCI-60 cell lines after exposure to 15 anticancer agents for 2, 6 and 24h (vorinostat)
  • organism-icon Homo sapiens
  • sample-icon 526 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a), Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

To identify patterns of drug-induced gene modulation that occur across different cell types, we measured gene expression changes across NCI-60 cell lines after exposure to 15 anticancer agents. The results were integrated into a database and set of interactive analysis tools, the NCI Transcriptional Pharmacodynamics Workbench (NCI TPW), intended to allow exploration of gene expression modulation, including by molecular pathway, drug target, and association with drug sensitivity. We identified common transcriptional responses across drugs and cell types and uncovered cell signaling pathwayspecific gene expression changes associated with drug sensitivity. We also demonstrated the value of this tool for investigating clinically relevant molecular hypotheses, utilizing the NCI TPW to assess drug-induced expression changes in genes associated with immune function and epithelial-mesenchymal transition, and to identify candidate biomarkers for drug activity. The NCI TPW provides a comprehensive resource to facilitate understanding of tumor cell characteristics that define sensitivity to anticancer drugs.

Publication Title

The NCI Transcriptional Pharmacodynamics Workbench: A Tool to Examine Dynamic Expression Profiling of Therapeutic Response in the NCI-60 Cell Line Panel.

Sample Metadata Fields

Specimen part

View Samples
...

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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