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accession-icon GSE47632
Expression data from the Arabidopsis root epidermis mutants
  • organism-icon Arabidopsis thaliana
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The root epidermis of Arabidopsis provides a simple and experimentally useful model for studying the molecular basis of cell fate and differentiation. The goal of this study was to define the transcript changes in the root epidermis of mutants associated with root epidermis cell specification, including mutants that lack a visible phenotypic alteration (try, egl3, myb23, and ttg2). Transcript levels were assessed by purifying populations of root epidermal cells using fluorescence-based cell-sorting with the WER::GFP transgene. These microarray results were used to compare the effects of single and double mutants on the gene regulatory network that controls root epidermal cell fate and differentiation in Arabidopsis.

Publication Title

Tissue-specific profiling reveals transcriptome alterations in Arabidopsis mutants lacking morphological phenotypes.

Sample Metadata Fields

Specimen part

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accession-icon GSE69849
Expression data for Ishikawa cells treated with 34 different chemicals
  • organism-icon Homo sapiens
  • sample-icon 363 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

This study provides an evaluation of changes in gene expression associated with treating human Ishikawa cells with 34 different chemical compounds.

Publication Title

Grouping 34 Chemicals Based on Mode of Action Using Connectivity Mapping.

Sample Metadata Fields

Sex, Cell line

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accession-icon GSE69845
Expression data for MCF7 cells treated with 34 different chemicals
  • organism-icon Homo sapiens
  • sample-icon 360 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

This study provides an evaluation of changes in gene expression associated with treating human MCF7 cells with 34 different chemical compounds.

Publication Title

Grouping 34 Chemicals Based on Mode of Action Using Connectivity Mapping.

Sample Metadata Fields

Sex, Cell line

View Samples
accession-icon GSE69850
Expression data for HepG2 cells treated with 34 different chemicals
  • organism-icon Homo sapiens
  • sample-icon 348 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

This study provides an evaluation of changes in gene expression associated with treating human HEPG2 cells with 34 different chemical compounds.

Publication Title

Grouping 34 Chemicals Based on Mode of Action Using Connectivity Mapping.

Sample Metadata Fields

Sex, Cell line

View Samples
accession-icon GSE69844
Expression data for HepaRG cells treated with 34 different chemicals
  • organism-icon Homo sapiens
  • sample-icon 331 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

This study provides an evaluation of changes in gene expression associated with treating human HepaRG cells with 34 different chemical compounds.

Publication Title

Grouping 34 Chemicals Based on Mode of Action Using Connectivity Mapping.

Sample Metadata Fields

Sex, Cell line

View Samples
accession-icon GSE69851
Human toxicology-relevant cell lines treated with three doses of 34 chemical compounds
  • organism-icon Homo sapiens
  • sample-icon 97 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Grouping 34 Chemicals Based on Mode of Action Using Connectivity Mapping.

Sample Metadata Fields

Sex, Cell line

View Samples
accession-icon GSE30547
Expression data from the Arabidopsis root epidermis
  • organism-icon Arabidopsis thaliana
  • sample-icon 75 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The root epidermis of Arabidopsis provides a simple and experimentally useful model for studying the molecular basis of cell fate and differentiation. The goal of this study was to define the larger gene regulatory network that governs the differentiation of the root hair and non-hair cell types of the Arabidopsis root epidermis. Transcript levels in the root epidermis of wild-type and mutant lines were assessed by purifying populations of root epidermal cells using fluorescence-based cell-sorting. Further, the role of the plant hormones auxin and ethylene on root epidermis development was assessed by defining transcript levels in the root epidermis of plants grown on media containing IAA or ACC. These microarray results were used to construct a comprehensive gene regulatory network that depicts the transcriptional control of root epidermal cell fate and differentiation in Arabidopsis.

Publication Title

A gene regulatory network for root epidermis cell differentiation in Arabidopsis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE9719
Dynamics of mRNA abundance and translation in response to short and prolonged hypoxia and reoxygenation
  • organism-icon Arabidopsis thaliana
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Gene expression analysis of 7d-old Arabidopsis seedlings exposed to short term (2 h) hypoxia, long term (9 h) hypoxia, and 1 h reoxygenation after long term (9 h) hypoxia to evaluate the regulation of gene expression at the level of translation.

Publication Title

Selective mRNA translation coordinates energetic and metabolic adjustments to cellular oxygen deprivation and reoxygenation in Arabidopsis thaliana.

Sample Metadata Fields

Age

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accession-icon GSE4616
Time series of diabetes and exercise training induced expression changes in cardiac muscle of mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

We investigated the effects of diabetes, physical training, and their combination on the gene expression of cardiac muscle. Mice were divided to control (C), training (T), streptozotocin-induced diabetic (D), and diabetic training (DT) groups. Training groups performed 1, 3, or 5 weeks of endurance training on a motor-driven treadmill. Muscle samples from T and DT groups together with respective controls were collected 24 hours after the last training session. Gene expression of cardiac muscles were analyzed using Affymetrix Gene chip MG U74Av2 (Affymetrix , Inc., Santa Clara, CA).

Publication Title

Effects of streptozotocin-induced diabetes and physical training on gene expression of titin-based stretch-sensing complexes in mouse striated muscle.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE1659
Time series of diabetes and exercise training induced expression changes in skeletal muscle of mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Experiment protocol:

Publication Title

Effects of streptozotocin-induced diabetes and physical training on gene expression of extracellular matrix proteins in mouse skeletal muscle.

Sample Metadata Fields

No sample metadata fields

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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