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accession-icon GSE112660
The effect of circadian rhythm on gene expression in human skin
  • organism-icon Homo sapiens
  • sample-icon 298 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Skin is the largest organ in the body and serves important barrier, regulatory, and sensory functions. Like other tissues, skin is subject to temporal fluctuations in physiological responses under both homeostatic and stressed states. To gain insight into these fluctuations, we investigated the role of the circadian clock in the transcriptional regulation of human epidermal samples collected in a time-ordered fashion. We also determined whether this circadian patterning could be applied to unordered (i.e., randomly collected) human epidermal samples. The purpose of this study was to gain insight into the evolutionarily-conserved rhythmic patterns of the circadian transcriptome in human skin and how it relates to published transcriptomes from other human tissues.

Publication Title

Population-level rhythms in human skin with implications for circadian medicine.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE139305
The effect of circadian rhythm on gene expression in human skin.
  • organism-icon Homo sapiens
  • sample-icon 505 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE139301
The effect of circadian rhythm on gene expression in human skin III
  • organism-icon Homo sapiens
  • sample-icon 269 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Skin is the largest organ in the body and serves important barrier, regulatory, and sensory functions. Like other tissues, skin is subject to temporal fluctuations in physiological responses under both homeostatic and stressed states. To gain insight into these fluctuations, we investigated the role of the circadian clock in the transcriptional regulation of skin

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE139300
The effect of circadian rhythm on gene expression in human skin II
  • organism-icon Homo sapiens
  • sample-icon 236 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Skin is the largest organ in the body and serves important barrier, regulatory, and sensory functions. Like other tissues, skin is subject to temporal fluctuations in physiological responses under both homeostatic and stressed states. To gain insight into these fluctuations, we investigated the role of the circadian clock in the transcriptional regulation of skin

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

View Samples
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 GSE40348
Hepatotoxicity
  • organism-icon Rattus norvegicus
  • sample-icon 300 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

A novel transcriptomics based in vitro method to compare and predict hepatotoxicity based on mode of action.

Sample Metadata Fields

Sex, Time

View Samples
accession-icon E-TABM-12
Transcription profiling by array of rat testis after treatment with 17a-ethynyl estradiol, genistein or bisphenol A
  • organism-icon Rattus norvegicus
  • sample-icon 118 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a), Affymetrix Rat Genome U34 Array (rgu34a)

Description

The purpose of this study was to determine 1) the transcriptional program elicited by exposure to three estrogen receptor (ER) agonists: 17 a-ethynyl estradiol (EE), genistein (Ges) and bisphenol A (BPA) during fetal development of the rat testis and epididymis; and 2) whether very low dosages of estrogens (evaluated over five orders of magnitude of dosage) produce unexpected changes in gene expression (i.e., a non-monotonic dose-response curve). In three independently conducted experiments, Sprague-Dawley rats were dosed (s.c.) with 0.001-10mg EE/kg/day, 0.001-100 mg Ges/kg/day or 0.002-400mg BPA/kg/day. While morphological changes in the developing reproductive system were not observed, the gene expression profile of target tissues were modified in a dose-responsive manner. Independent dose-response analyses of the three studies identified 56 genes that are significantly modified by EE, 28 genes by Ges and 15 genes by BPA (out of 8740). Even more genes were observed to be significantly changed when only the high dose is compared with all lower doses: 141, 46 and 67 genes, respectively. Global analyses aimed at detecting genes consistently modified by all of the chemicals identified 52 genes whose expression changed in the same direction across the three chemicals. The dose-response curve for gene expression changes was monotonic for each chemical, with both the number of genes significantly changed and the magnitude of change, for each gene, decreasing with decreasing dose. Using the available annotation of the gene expression changes induced by ER-agonist, our data suggest that a variety of cellular pathways are affected by estrogen exposure. These results indicate that gene expression data are diagnostic of mode of action and, if they are evaluated in the context of traditional toxicological end-points, can be used to elucidate dose-response characteristics.

Publication Title

Gene expression changes induced in the testis by transplacental exposure to high and low doses of 17{alpha}-ethynyl estradiol, genistein, or bisphenol A.

Sample Metadata Fields

Sex, Age, Specimen part, Compound

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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