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accession-icon E-TOXM-8
Transcription profiling of mouse lymphoma L5178Y cells treated with Mitomycin C - ILSI-HESI Genotoxicity Study - Mitomycin
  • organism-icon Mus musculus
  • sample-icon 62 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2), Affymetrix Murine Genome U74A Array (mgu74a), UNKNOWN, Affymetrix Murine 11K SubB Array (mu11ksubb), Affymetrix Murine 11K SubA Array (mu11ksuba)

Description

Mouse lymphoma L5178Y cells are treated with Mitomycin C [CAS:50-07-7;CHEBI:27504] and harvested at 4 and 24 hours for analysis.

Publication Title

The Utility of DNA Microarrays for Characterizing Genotoxicity

Sample Metadata Fields

Sex, Disease, Disease stage, Compound, Time

View Samples
accession-icon E-TOXM-9
Transcription profiling of mouse lymphoma L5178Y cells treated with Taxol (Paclitaxel) ILSI-HESI Genotoxicity Study - Taxol
  • organism-icon Mus musculus
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2), Affymetrix Murine Genome U74A Array (mgu74a), UNKNOWN

Description

Mouse lymphoma L5178Y cells are treated with Taxol (Paclitaxel) [CAS:33069-62-4;CHEBI:7887] and harvested at 4 and 24 hours for analysis.

Publication Title

Toxicogenomics in Risk Assessment: An Overview of an HESI Collaborative Research Program

Sample Metadata Fields

Sex, Disease, Disease stage, Compound, Time

View Samples
accession-icon E-TOXM-7
Transcription profiling of mouse lymphoma L5178Y and Human TK6 cells treated with Methylmethane Sulfonate ILSI-HESI Genotoxicity Study - MMS
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2), Affymetrix Murine Genome U74A Array (mgu74a), Affymetrix Human Genome U95A Array (hgu95a)

Description

Mouse lymphoma L5178Y and Human TK6 cells are treated with Methylmethane Sulfonate [CAS:66-27-3;CHEBI:25255] and harvested a 4 and 24 hours for analysis.

Publication Title

The Utility of DNA Microarrays for Characterizing Genotoxicity

Sample Metadata Fields

Sex, Disease, Disease stage, Compound, Time

View Samples
accession-icon E-TOXM-5
Transcription profiling of mouse lymphoma L5178Y cells treated with EtoposideILSI-HESI Genotoxicity Study - Etoposide
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Mouse lymphoma L5178Y cells are treated with Etoposide [CAS:33419-42-0;CHEBI:4911] and harvested a 4 and 24 hours for analysis.

Publication Title

Toxicogenomics in Risk Assessment: An Overview of an HESI Collaborative Research Program

Sample Metadata Fields

Sex, Disease, Disease stage, Compound, Time

View Samples
accession-icon E-TOXM-1
Transcription profiling of mouse lymphoma L5178Y cells treated with 4-NitroQuinoline N-Oxide (4-NQO) ILSI-HESI Genotoxicity Study - 4-NQO
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconUNKNOWN

Description

Mouse lymphoma L5178Y cells are treated with 4-NitroQuinoline N-Oxide (4-NQO) [CAS:56-57-5;CHEBI:16907] and harvested at 4 and 24 hours for analysis.

Publication Title

The Utility of DNA Microarrays for Characterizing Genotoxicity

Sample Metadata Fields

Sex, Disease, Disease stage, Compound, Time

View Samples
accession-icon E-TOXM-39
Transcription profiling of rat liver and kidney samples performed in 16 different institutions to determine study factors which are key sources of variability. Raw files available as additional archives
  • organism-icon Rattus norvegicus
  • sample-icon 134 Downloadable Samples
  • Technology Badge IconUNKNOWN

Description

BACKGROUND: The use of gene expression profiling in both clinical and laboratory settings would be enhanced by better characterization of variance due to individual, environmental, and technical factors. Meta-analysis of microarray data from untreated or vehicle-treated animals within the control arm of toxicogenomics studies could yield useful information on baseline fluctuations in gene expression, although control animal data has not been available on a scale and in a form best served for data-mining. RESULTS: A dataset of control animal microarray expression data was assembled by a working group of the Health and Environmental Sciences Institute's Technical Committee on the Application of Genomics in Mechanism Based Risk Assessment in order to provide a public resource for assessments of variability in baseline gene expression. Data from over 500 Affymetrix microarrays from control rat liver and kidney were collected from 16 different institutions. Thirty-five biological and technical factors were obtained for each animal, describing a wide range of study characteristics, and a subset were evaluated in detail for their contribution to total variability using multivariate statistical and graphical techniques. CONCLUSIONS: The study factors that emerged as key sources of variability included gender, organ section, strain, and fasting state. These and other study factors were identified as key descriptors that should be included in the minimal information about a toxicogenomics study needed for interpretation of results by an independent source. Genes that are the most and least variable, gender-selective, or altered by fasting were also identified and functionally categorized. Better characterization of gene expression variability in control animals will aid in the design of toxicogenomics studies and in the interpretation of their results. [based on information contained in Final_HESI_Decoder_483_05_015_07.txt provided by CEBS database]

Publication Title

Sources of variation in baseline gene expression levels from toxicogenomics study control animals across multiple laboratories

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE59495
Microarray Analysis of Microcystin-LR
  • organism-icon Rattus norvegicus
  • sample-icon 90 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Microcystins are produced by the cyanobacteria, most commonly Microcystis aerginosa. Upon ingestion, toxic microcystins are actively absorbed by fish, birds and mammals where they are primarily liver toxins.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Compound, Time

View Samples
accession-icon GSE137433
PGR-B and ovarian neoplasma
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Constitutive expression of progesterone receptor isoforms promotes the development of hormone-dependent ovarian neoplasms.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment

View Samples
accession-icon GSE108409
An ancient fecundability-associated polymorphism creates a new GATA2 binding site in a distal enhancer of HLA-F
  • organism-icon Homo sapiens
  • sample-icon 12 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

An Ancient Fecundability-Associated Polymorphism Creates a GATA2 Binding Site in a Distal Enhancer of HLA-F.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE40661
Gata2 is a master regulator of endometrial function and progesterone signaling
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A Gata2-Dependent Transcription Network Regulates Uterine Progesterone Responsiveness and Endometrial Function.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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)

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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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