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accession-icon GSE6475
Acne lesion vs. normal skin. Also includes non-acne patients' normal skin samples.
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The pathogenesis of acne has been linked to multiple factors such as increased sebum production, inflammation, follicular hyperkeratinization, and the action of Propionibacterium acnes within the follicle. In an attempt to understand the specific genes involved in inflammatory acne, we performed gene expression profiling in acne patients. Skin biopsies were obtained from an inflammatory papule and from normal skin in six patients with acne. Biopsies were also taken from normal skin of six subjects without acne. Gene array expression profiling was conducted using Affymetrix HG-U133A 2.0 arrays comparing lesional to nonlesional skin in acne patients and comparing nonlesional skin from acne patients to skin from normal subjects. Within the acne patients, 211 genes are upregulated in lesional skin compared to nonlesional skin. A significant proportion of these genes are involved in pathways that regulate inflammation and extracellular matrix remodeling, and they include matrix metalloproteinases 1 and 3, IL-8, human beta-defensin 4, and granzyme B. These data indicate a prominent role of matrix metalloproteinases, inflammatory cytokines, and antimicrobial peptides in acne lesions. These studies are the first describing the comprehensive changes in gene expression in inflammatory acne lesions and are valuable in identifying potential therapeutic targets in inflammatory acne.

Publication Title

Gene array expression profiling in acne lesions reveals marked upregulation of genes involved in inflammation and matrix remodeling.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE10434
Retinoic acid effect on sebocytes and the skin
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2), Affymetrix Human Genome U95A Array (hgu95a)

Description

The pathogenesis of acne has been linked to multiple factors such as increased sebum production, inflammation, follicular hyperkeratinization, and the action of Propionibacterium acnes within the follicle. 13-cis Retinoic Acid (13-cis RA, isotretinoin) is the most potent agent in acne treatment. Surprisingly, its mechanism of action in acne is still unknown. Gene expression profiling of cultured human immortalized sebocytes (SEB-1) treated with 13-cis RA was performed to gain insights into its sebocyte-specific mechanism of action. SEB-1 sebocytes were cultured with 0.1 uM 13-cis RA for 72 hours or vehicle control. Gene array expression profiling was conducted using Affymetrix HG-U95Av2 arrays in order to examine changes in gene expression as a result of treatment. A total of 85 genes (78 different genes) were significantly influenced by 13-cis RA: 58 were upregulated and 27 were down-regulated. There were changes in several genes involved in apoptosis and innate immunity. These studies are the first describing the sebocyte- specific response in gene expression associated with isotretinoin therapy and are valuable in identifying potential therapeutic targets in acne.

Publication Title

Neutrophil gelatinase-associated lipocalin mediates 13-cis retinoic acid-induced apoptosis of human sebaceous gland cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE11792
Human Skin: Before and 8 weeks after Isotretinoin Treatment
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The pathogenesis of acne has been linked to multiple factors such as increased sebum production, inflammation, follicular hyperkeratinization, and the action of Propionibacterium acnes within the follicle. 13-cis Retinoic Acid (13-cis RA, isotretinoin) is the most potent agent in acne treatment. Surprisingly, its mechanism of action in acne is still unknown. Gene expression profiling of skin from 8 patients treated with isotretinoin was performed to gain insights into its mechanism of action. Skin biopsies were obtained from the patients at baseline and at 8 weeks isotretinoin treatment. Gene array expression profiling was conducted using Affymetrix HG-U133A 2.0 arrays in order to examine changes in gene expression as a result of treatment. After treatment, 784 genes were significantly changed: 197 up-regulated and 587 down-regulated. The majority of genes that were up-regulated at 8 weeks encode structural proteins of the extracellular matrix such as collagens, fibulin and fibronectin. The preponderance of genes that were down-regulated at 8 weeks are involved in the metabolism of steroids, cholesterol and fatty acids.

Publication Title

Isotretinoin temporally regulates distinct sets of genes in patient skin.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE10433
Human Skin: Before and 1 week after Isotretinoin Treatment
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The pathogenesis of acne has been linked to multiple factors such as increased sebum production, inflammation, follicular hyperkeratinization, and the action of Propionibacterium acnes within the follicle. 13-cis Retinoic Acid (13-cis RA, isotretinoin) is the most potent agent in acne treatment. Surprisingly, its mechanism of action in acne is still unknown. Gene expression profiling of skin from 6 patients treated with isotretinoin was performed to gain insights into its mechanism of action. Skin biopsies were obtained from the patients at baseline and at one-week isotretinoin treatment. Gene array expression profiling was conducted using Affymetrix HG-U133A 2.0 arrays in order to examine changes in gene expression as a result of treatment. After treatment, 43 genes were significantly changed: 38 up-regulated and 5 down-regulated. A significant proportion of these genes are involved in pathways that regulate differentiation, tumor suppression, serine proteases, serine protease inhibitors and solute transfer. These studies are the first describing the initial changes in gene expression associated with isotretinoin therapy and are valuable in identifying potential therapeutic targets in acne.

Publication Title

Neutrophil gelatinase-associated lipocalin mediates 13-cis retinoic acid-induced apoptosis of human sebaceous gland cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE10432
13-cis retinoic acid treatment of human sebocytes (SEB-1)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a), Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The pathogenesis of acne has been linked to multiple factors such as increased sebum production, inflammation, follicular hyperkeratinization, and the action of Propionibacterium acnes within the follicle. 13-cis Retinoic Acid (13-cis RA, isotretinoin) is the most potent agent in acne treatment. Surprisingly, its mechanism of action in acne is still unknown. Gene expression profiling of cultured human immortalized sebocytes (SEB-1) treated with 13-cis RA was performed to gain insights into its sebocyte-specific mechanism of action. SEB-1 sebocytes were cultured with 0.1 uM 13-cis RA for 72 hours or vehicle control. Gene array expression profiling was conducted using Affymetrix HG-U95Av2 arrays in order to examine changes in gene expression as a result of treatment. A total of 85 genes (78 different genes) were significantly influenced by 13-cis RA: 58 were upregulated and 27 were down-regulated. There were changes in several genes involved in apoptosis and innate immunity. These studies are the first describing the sebocyte- specific response in gene expression associated with isotretinoin therapy and are valuable in identifying potential therapeutic targets in acne.

Publication Title

Neutrophil gelatinase-associated lipocalin mediates 13-cis retinoic acid-induced apoptosis of human sebaceous gland cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE11697
Young and aged rhesus hippocampal CA1 and DG
  • organism-icon Macaca mulatta
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Rhesus Macaque Genome Array (rhesus)

Description

Metabolic, mitochondrial and behavioral correlations with transcriptional profiles from the CA1 and DG hippocampal regions of young and aged rhesus macaque. Increasing evidence indicates that obesity correlates with impaired cognitive performance during normal aging and is a major risk factor for Alzheimers disease. However, little is known regarding how peripheral metabolic variables affect cellular pathways in brain regions important for memory. Brain inflammation, mitochondrial dysregulation, and altered transcriptional regulation have all been found to occur with aging, and recent microarray analyses in rodent models have linked these processes and others to age-related memory impairment. However, whether these brain changes are also associated with metabolic variables is not known. Aging monkeys exhibit several metabolic changes similar to those seen in humans. Here, we tested peripheral-brain relationships in six young (7.0 +/- 0.3 years) and six aged (23.5 +/- 0.7 years) female rhesus monkeys. Animal cognition was gauged with a variable delay task; blood constituents were assessed with a serum chemistry panel emphasizing markers of metabolic dysfunction; mitochondrial function was measured from the hippocampus of one hemisphere; and the CA1 and dentate gyrus regions of the other hippocampus were dissected out for gene expression microarray analysis. Aged animals showed reduced performance on the behavioral task, exhibited aspects of metabolic dysregulation including increased insulin, triglyceride, and chylomicron levels (consolidated into a peripheral metabolic index), and showed a significant age-related reduction in State III oxidation, a measure of mitochondrial function. Microarray analyses revealed hundreds of genes that correlated with the peripheral metabolic index. However, DAVID statistical pathway analyses showed that upregulated inflammatory genes in CA1 and downregulated transcriptional regulation genes in dentate gyrus and CA1 were particularly overrepresented among genes correlated with the peripheral index. Thus, the association of metabolic variables with specific neuropathological processes in different regions of the hippocampal formation may have implications for mechanisms through which peripheral metabolism alters the risk for Alzheimers disease.

Publication Title

Aging-related gene expression in hippocampus proper compared with dentate gyrus is selectively associated with metabolic syndrome variables in rhesus monkeys.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE13044
Gene expression profiling in the lung and liver of low and high dose Perfluorooctanoic Acid exposed mouse fetuses
  • organism-icon Mus musculus
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Exposure to PFOA during gestation altered the expression of genes related to fatty acid catabolism in both the fetal liver and lung. In the fetal liver, the effects of PFOA were robust and also included genes associated with lipid transport, ketogenesis, glucose metabolism, lipoprotein metabolism, cholesterol biosynthesis, steroid metabolism, bile acid biosynthesis, phospholipid metabolism, retinol metabolism, proteosome activation, and inflammation. These changes are consistent with activation of PPAR alpha. Non-PPAR alpha related changes were suggested as well.

Publication Title

Gene expression profiling in the lung and liver of PFOA-exposed mouse fetuses.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE55487
Isolation and genomic characterization of cancer stem cells in head and neck cancer
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This study investigated the use of three different established cell sorting strategies to isolate and characterize stem cells from head and neck cancer cell lines.

Publication Title

Isolation and genomic characterization of stem cells in head and neck cancer.

Sample Metadata Fields

Cell line

View Samples
accession-icon SRP034592
eRNA: A graphic user interface-based tool for RNA sequencing data analysis [mRNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

we performed RNA sequencing analysis using 10 tissue samples from human prostate and evaluated efficiency and accuracy of eRNA on mRNA-seq data analysis. Overall design: We sequenced mRNAs from the 10 human tissue samples. After that, we identified mRNAs in these samples against known human genes.

Publication Title

eRNA: a graphic user interface-based tool optimized for large data analysis from high-throughput RNA sequencing.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE26647
Gene Expression Changes Associated with the Progression of Intraductal Papillary Mucinous Neoplasms
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Purpose: The diagnosis of high grade intraductal papillary mucinous neoplasm (IPMN) is difficult to distinguish from low grade IPMN. The aim of this study was to identify potential markers for the discrimination of high grade and invasive IPMN from low and moderate grade IPMN.

Publication Title

Gene expression changes associated with the progression of intraductal papillary mucinous neoplasms.

Sample Metadata Fields

Disease, Disease stage, Subject

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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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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