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accession-icon SRP083760
Genetic vs Dietary Models of Iron Overload in the Mouse Liver
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Iron overload causes the generation of reactive oxygen species, which can lead to lasting damage to the liver and other organs. We studied the effects of iron deficiency and iron overload on the hepatic transcriptional and metabolomic profile in mouse models. Overall design: We studied effect of different iron overloads (High, medium and Low) on liver transcriptome using whole genome transcriptome profiling.

Publication Title

Nicotinamide N-methyltransferase expression decreases in iron overload, exacerbating toxicity in mouse hepatocytes.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP083889
Genetic Model of iron deficiency in the Mouse Liver
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Iron overload causes the generation of reactive oxygen species, which can lead to lasting damage to the liver and other organs. We studied the effects of iron deficiency and iron overload on the hepatic transcriptional and metabolomic profile in mouse models. Overall design: We studied effect of different iron deficiency by HJV gene knockout mice on liver transcriptome using whole genome transcriptome profiling.

Publication Title

Nicotinamide N-methyltransferase expression decreases in iron overload, exacerbating toxicity in mouse hepatocytes.

Sample Metadata Fields

Specimen part, Subject

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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 GSE107870
Expression data from human macrophages treate with miR-1246 mimic/inhibitor
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Clariom S Human array (clariomshuman)

Description

MiR-1246 was found to promote tumorigenesis and metastasis in sevearl cancer types. In the context of tumor microenvironment, tumor-associated macrophages are a central part typically correlated with poor prognosis.

Publication Title

Mutant p53 cancers reprogram macrophages to tumor supporting macrophages via exosomal miR-1246.

Sample Metadata Fields

Specimen part

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accession-icon GSE37693
Gene Expression Effects of IL-13 on Primary Human Airway Epithelial Cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Primary culture airway epithelial cells, grown under physiologic air-liquid interface conditions, with, or without IL-13 in order to study the effects of this cytokine on mucous cell metaplasia, an important feature of asthma and COPD.

Publication Title

IL-13-induced airway mucus production is attenuated by MAPK13 inhibition.

Sample Metadata Fields

Specimen part

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accession-icon GSE64333
MicroRNA and Gene expression profiling of the prostate biopsy samples from African American and European American prostate cancer patients
  • organism-icon Homo sapiens
  • sample-icon 105 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification and Functional Validation of Reciprocal microRNA-mRNA Pairings in African American Prostate Cancer Disparities.

Sample Metadata Fields

Specimen part

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accession-icon GSE71781
Gene expression profiling of the prostate biopsy samples (cancer and adjacent normal tissues) from African American prostate cancer patients
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the biological factors accounting for the PCa disparities observed in AA and EA patients, we performed gene profiling using Affymetrix human exon 1.0 ST arrays to identify the differentially expressed genes beween AA cancer and patient matched normal tissues.

Publication Title

Identification and Functional Validation of Reciprocal microRNA-mRNA Pairings in African American Prostate Cancer Disparities.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE64331
Gene expression profiling of the prostate biopsy samples from African American and European American prostate cancer patients
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the biological factors accounting for the PCa disparities observed in AA and EA patients, we performed gene profiling analysis using Affymetrix human exon 1.0 ST arrays to identify the differentially expressed genes in AA and EA patients.

Publication Title

Identification and Functional Validation of Reciprocal microRNA-mRNA Pairings in African American Prostate Cancer Disparities.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE71783
Gene expression profiling of the prostate biopsy samples from cancer and adjacent normal tissues of European American prostate cancer patients
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the biological factors accounting for the PCa disparities observed in AA and EA patients, we performed gene profiling analysis using Affymetrix human exon 1.0 ST arrays to identify the differentially expressed genes in EA PCa vs. EA normal.

Publication Title

Identification and Functional Validation of Reciprocal microRNA-mRNA Pairings in African American Prostate Cancer Disparities.

Sample Metadata Fields

Specimen part

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)

fund-icon Fund the CCDL

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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