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accession-icon GSE67701
Role of TBC1D4 in mouse kidneys: Identification of compensatory mechanisms in the DCT of TBC1D4-deficient mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

In vitro studies identified TBC1D4 as an regulator of renal ion and water transporting proteins. However, TBC1D4-deficient mice did not show a defective renal salt and water homeostasis.

Publication Title

Rab-GAP TBC1D4 (AS160) is dispensable for the renal control of sodium and water homeostasis but regulates GLUT4 in mouse kidney.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE72874
Methylome and transcriptome of EAC
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of the CIMP-like subtype and aberrant methylation of members of the chromosomal segregation and spindle assembly pathways in esophageal adenocarcinoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE72873
Methylome and transcriptome of EAC (expression)
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

genome-wide methylation profile of 250 samples including 125 EAC, 19 Barretts, 64 normal adjacent squamous and 21 normal stomach. Transcriptome data was performed for 70 samples with methylation profile (48 EAC, 4 Barretts and 18 normal adjacent squamous). This is the first study to use methylome, transcriptome and ENCODE data to characterize the regulatory role of methylation in EAC.

Publication Title

Identification of the CIMP-like subtype and aberrant methylation of members of the chromosomal segregation and spindle assembly pathways in esophageal adenocarcinoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE43517
Transcriptome analysis on whole kidney of Usp2 knockout mice
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Ubiquitylation plays an important role in the control of Na+ homeostasis by the kidney. It is well established that the epithelial Na+ channel ENaC is regulated by the ubiquitin-protein ligase NEDD4-2, limiting ENaC cell surface expression and activity. Ubiquitylation can be reversed by the action of deubiquitylating enzymes (DUBs). One such DUB, USP2-45, was identified previously as an aldosterone-induced protein in the kidney, and is also a circadian output gene. In heterologous expression systems USP2-45 binds to ENaC, deubiquitylates it and enhances channel density and activity at the cell surface. Because the role of USP2-45 in renal Na+ transport had not been studied in vivo, we investigated here the effect of Usp2 gene inactivation in this process. We demonstrate first that the USP2-45 protein has a rhythmic expression with a peak at ZT12. Usp2-KO mice did not show any differences to wild-type littermates with respect to the diurnal control of Na+ or K+ urinary excretion and plasma levels neither on standard diet, nor after acute and chronic changes to low and high Na+ diets, respectively. Moreover, they had similar aldosterone levels either at low or high Na+ diet. Blood pressure measurements using telemetry did not reveal variations as compared to control mice. Usp2-KO did neither display alternations in ENaC or Na+,Cl--cotransporter (NCC) expression, nor were there any changes in regulatory protein levels, as evidenced by immunoblotting and transcriptome analysis. We conclude that USP2-45 is not crucial for the regulation of Na+ balance or maintenance of blood pressure in vivo.

Publication Title

Mice carrying ubiquitin-specific protease 2 (Usp2) gene inactivation maintain normal sodium balance and blood pressure.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE6956
Tumor Immunobiological Differences in Prostate Cancer between African-American and European-American Men
  • organism-icon Homo sapiens
  • sample-icon 79 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The incidence and mortality rates of prostate cancer are significantly higher in African-American men when compared to European-American men. We tested the hypothesis that differences in tumor biology contribute to this survival health disparity. Using microarray technology, we obtained gene expression profiles of primary prostate tumors resected from 33 African-American and 36 European-American patients. These tumors were matched on clinical parameters. We also evaluated 18 non-tumor prostate tissues from 7 African-American and 11 European-American patients. The resulting datasets were analyzed for expression differences on the gene and pathway level comparing African-American with European-American patients. Our analysis revealed a significant number of genes, e.g., 162 transcripts at a false-discovery rate less than 5%, to be differently expressed between African-American and European-American patients. Using a disease association analysis, we identified a common relationship of these transcripts with autoimmunity and inflammation. These findings were corroborated on the pathway level with numerous differently expressed genes clustering in immune response, stress response, cytokine signaling, and chemotaxis pathways. Furthermore, a two-gene tumor signature was identified that accurately differentiated between African-American and European-American patients. This finding was confirmed in a blinded analysis of a second sample set. In conclusion, the gene expression profiles of prostate tumors indicate prominent differences in tumor immunobiology between African-American and European-American men. The profiles portray the existence of a distinct tumor microenvironment in these two patient groups.

Publication Title

Tumor immunobiological differences in prostate cancer between African-American and European-American men.

Sample Metadata Fields

Race

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accession-icon GSE22668
Expression data from human PBMC induced by mixed Congeners of PCBs at Human equivalence
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Exposure to Polychlorobiphenyls (PCBs) is known to cause serious health effects in human but the gene expression profiles leading to development of differnet diseases and disorders are not fully understood. The knowledge of global gene expression will help us to devlop early disease or disorder biomarkers for PCB induced health effects.

Publication Title

Transcriptional profiling and biological pathway analysis of human equivalence PCB exposure in vitro: indicator of disease and disorder development in humans.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon GSE50821
Restoring Systemic GDF11 Levels Reverses Age-Related Dysfunction in Mouse Skeletal Muscle
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In this study, we investigated signaling pathways in Skeletal muscle precursors that are altered with aging and age-related deficits in muscle regenerative potential. We performed fluorescence activated cell sorting (FACS) to obtain highly purified skeletal muscle satellite cells from young, middle-aged and old mice.

Publication Title

Restoring systemic GDF11 levels reverses age-related dysfunction in mouse skeletal muscle.

Sample Metadata Fields

Specimen part

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accession-icon GSE68138
An Immune and Inflammation Signature in Prostate Tumors of Smokers
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st), Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

An Immune-Inflammation Gene Expression Signature in Prostate Tumors of Smokers.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE68135
An Immune and Inflammation Signature in Prostate Tumors of Smokers (part 1)
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Current smokers develop metastatic prostate cancer more frequently than nonsmokers, suggesting that a tobacco-derived factor induces metastasis. To identify smoking-induced alterations in human prostate tumors, we analyzed gene and protein expression of tumors from current, past, and never smokers and observed distinct molecular alterations in current smokers. Specifically, an immune and inflammation signature was identified in prostate tumors of current smokers that was either attenuated or absent in past and never smokers. Key characteristics of this signature included augmented immunoglobulin expression by tumor-infiltrating B cells, NF-kB activation, and increased interleukin-8 in tumor and blood. In an alternate approach to characterize smoking-induced oncogenic alterations, we explored the effects of nicotine in prostate cancer cells and prostate cancer-prone TRAMP mice. These experiments showed that nicotine increases both invasiveness of human prostate cancer cells and metastasis in tumor-bearing TRAMP mice, indicating that nicotine can induce a phenotype that resembles the epidemiology of smoking-associated prostate cancer progression. In summary, we describe distinct oncogenic alterations in prostate tumors from current smokers and show that nicotine can enhance prostate cancer metastasis.

Publication Title

An Immune-Inflammation Gene Expression Signature in Prostate Tumors of Smokers.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE68136
An Immune and Inflammation Signature in Prostate Tumors of Smokers (part 2)
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Current smokers develop metastatic prostate cancer more frequently than nonsmokers, suggesting that a tobacco-derived factor induces metastasis. To identify smoking-induced alterations in human prostate tumors, we analyzed gene and protein expression of tumors from current, past, and never smokers and observed distinct molecular alterations in current smokers. Specifically, an immune and inflammation signature was identified in prostate tumors of current smokers that was either attenuated or absent in past and never smokers. Key characteristics of this signature included augmented immunoglobulin expression by tumor-infiltrating B cells, NF-kB activation, and increased interleukin-8 in tumor and blood. In an alternate approach to characterize smoking-induced oncogenic alterations, we explored the effects of nicotine in prostate cancer cells and prostate cancer-prone TRAMP mice. These experiments showed that nicotine increases both invasiveness of human prostate cancer cells and metastasis in tumor-bearing TRAMP mice, indicating that nicotine can induce a phenotype that resembles the epidemiology of smoking-associated prostate cancer progression. In summary, we describe distinct oncogenic alterations in prostate tumors from current smokers and show that nicotine can enhance prostate cancer metastasis.

Publication Title

An Immune-Inflammation Gene Expression Signature in Prostate Tumors of Smokers.

Sample Metadata Fields

Cell line

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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