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accession-icon SRP150704
RNA sequencing of primary neurons treated with L-lactate
  • organism-icon Mus musculus
  • sample-icon 54 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The study aimed to investigate genome-wide transcriptome changes in response to L-lactate in primary neuron cultures.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line, Treatment

View Samples
accession-icon E-MEXP-1301
Transcription profiling by array of brain from zebrafish treated with ethanol or nicotine suggests conservation of neuro-adaptation pathways
  • organism-icon Danio rerio
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Effect of ethanol or nicotine exposure on gene expression compared to control. Duplicate arrays from ethanol or nicotine treated animals compared with triplicate arrays from paired control animals. In total 4 treatment arrays (2 ethanol, 2 nicotine) and 3 control arrays (from control animals treated in parallel with ethanol-treated fish and nicotine-treated fish.)

Publication Title

Gene expression changes in a zebrafish model of drug dependency suggest conservation of neuro-adaptation pathways.

Sample Metadata Fields

Specimen part, Compound

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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

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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

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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 SRP170254
Mus musculus strain:C57BL/6 Genome sequencing
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Understanding host-pathogen interactions in tuberculosis is essential to d develop strategies and therapeutic tools to control Mycobacterium tuberculosis (Mtb). In this study, we performed the transcriptome analyses of macrophages infected with virulent Mtb strain H37Rv (Rv) or avirulent Mtb strain H37Ra (Ra).

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP079848
Mus musculus Transcriptome or Gene expression
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

We present the RNA-seq datas of neuronal differentiation in mouse embryonic stem cell by all-trans retinoic acid.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, 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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