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accession-icon SRP044675
Genes regulated by the winged helix transcription factor Rfx6 in adult beta cell in the mouse
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The goal of this study was to identify genes which are differentiatlly expresesd upon induced inactivation of Rfx6 in beta cell in adult mice Overall design: Rfx6fl/fl; Ins1-CreERT2 (mut) and Rfx6fl/fl (ctrl) 8 weeks old mice were injected subcutaneously with tamoxifen daily during 3 days. Pancreatic islets were isolated 5 days after the first injection and RNA purified.

Publication Title

Rfx6 maintains the functional identity of adult pancreatic β cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE74079
Expression data from GSS/101LL brain regions
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Gerstmann Strausller Scheinker (GSS) human prion disease homogenate is i.c. inoculated into mice exhibiting a proline to leucine alteration at codon 101 of the murine prion protein gene (101LL). This results in a disease with an incubation period of approximately 291 days. Normal brain homogenate i.c. inoculated into 101LL mice which are aged matched are used as controls.

Publication Title

Distribution of Misfolded Prion Protein Seeding Activity Alone Does Not Predict Regions of Neurodegeneration.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE16391
GGI: a potential predictor of relapse for endocrine-treated breast cancer patients in the BIG 1-98 trial
  • organism-icon Homo sapiens
  • sample-icon 53 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: We have previously shown that the Gene expression Grade Index (GGI) was able to identify two subtypes of estrogen receptor (ER)-positive tumors that were associated with statistically distinct clinical outcomes in both untreated and tamoxifen-treated patients. Here, we aim to investigate the ability of the GGI to predict relapses in postmenopausal women who were treated with tamoxifen (T) or letrozole (L) within the BIG 1-98 trial.

Publication Title

The Gene expression Grade Index: a potential predictor of relapse for endocrine-treated breast cancer patients in the BIG 1-98 trial.

Sample Metadata Fields

Age, Specimen part, Disease stage, Treatment

View Samples
accession-icon GSE6338
Gene expression analysis of Peripheral T-cell Lymphoma/Unspecified
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Peripheral T-cell lymphoma unspecified (PTCL/U), the most common form of PTCL, displays heterogeneous morphology and phenotype, poor response to treatment, and dismal prognosis. We demonstrate that PTCL/U shows a gene expression profile clearly distinct from that of normal T-cells. Comparison with the profiles of purified T-cell subpopulations [CD4+, CD8+, resting (HLA-DR-), and activated (HLA-DR+)] reveals that PTCLs/U are most closely related to activated peripheral T-lymphocytes, either CD4+ or CD8+. Interestingly, the global gene expression profile cannot be surrogated by routine CD4/CD8 immunohistochemistry. When compared with normal T-cells, PTCLs/U display deregulation of functional programs often involved in tumorigenesis (e.g. apoptosis, proliferation, cell adhesion, and matrix remodeling). Products of deregulated genes can be detected in PTCLs/U by immunohistochemistry with an ectopic, paraphysiologic or stromal location. Among others, PTCLs/U aberrantly express PDGFRA, a tyrosine-kinase receptor, whose deregulation is often related to a malignant phenotype. Notably, both phosphorylation of PDGFRA and sensitivity of cultured PTCL cells to imatinib (as well as to an inhibitor of histone-deacetylase) are found. These results, which might be extended to other rarer PTCL categories, are provided with implications for tumor pathogenesis and clinical management.

Publication Title

Gene expression analysis of peripheral T cell lymphoma, unspecified, reveals distinct profiles and new potential therapeutic targets.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE63665
Expression data from Burkitt Lymphoma cell lines followed by expression or inhibition of ebv-BART6-3p microRNA
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Epstein-Barr virus is associated with several human malignancies, including Burkitt Lymnphoma. The virus encodes more than 40 microRNAs, which participate in its possible pathogenetic role.

Publication Title

Molecular signature of Epstein Barr virus-positive Burkitt lymphoma and post-transplant lymphoproliferative disorder suggest different roles for Epstein Barr virus.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE61388
Transcriptomic analysis unveils correlations between regulative apoptotic caspases and genes of cholesterol homeostasis in human brain
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Caspases are cysteine-proteases with key roles in the execution phase of apoptosis. Additional cellular activities, unrelated to cell death seem to be influenced by these enzymes. Identification of genes co-regulated with caspases could help to ascertain new biological roles for these proteases.To identify genes and pathways under the influence of caspase-2 we silenced its expression in U87MG glioblastoma cell line. Transcriptional expression profiles of cells transfected with caspase-2 siRNA or control siRNA were compared.

Publication Title

Transcriptomic analysis unveils correlations between regulative apoptotic caspases and genes of cholesterol homeostasis in human brain.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE53031
Gene expression profiling of human breast cancer during pregnancy
  • organism-icon Homo sapiens
  • sample-icon 167 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Using a dataset of 54 pregnant and 113 age/stage-matched non-pregnant breast cancer patients with complete clinical and survival data; we evaluated the pattern of hot spot somatic mutations and performed transcriptomic profiling using Sequenom and Affymetrix, respectively. Breast cancer molecular subtypes were defined using PAM50 and 3-Gene classifiers. We performed Gene set enrichment analysis (GSEA) to evaluate pathways associated with diagnosis during pregnancy. We investigated the differential expression of cancer-related genes and published gene sets according to pregnancy. We finally investigated genes associated with disease-free survival.

Publication Title

Biology of breast cancer during pregnancy using genomic profiling.

Sample Metadata Fields

Age, Disease stage

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accession-icon E-TABM-544
Transcription profiling of yeast mutants to determine gene regulation by sterol and sphingolipid composition
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

determination of gene regulation by sterol and sphingolipid composition

Publication Title

Functional interactions between sphingolipids and sterols in biological membranes regulating cell physiology.

Sample Metadata Fields

Sex

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accession-icon GSE61930
SaOS-2 transfected with CD99 in differentiation medium for 14 days
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrated approaches to miRNAs target definition: time-series analysis in an osteosarcoma differentiative model.

Sample Metadata Fields

Specimen part, Cell line, Time

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accession-icon SRP049377
RNA-Seq data for five HER2 over-expressed samples with twelve green fluorescent protein control samples using human mammary epithelial cells
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Purpose: The goal was to capture the transcriptional activity due to over-expression of HER2 protein. We profiled this transcriptional activity using two different RNA-Seq alignment and quantification pipelines. We also used these samples to generate a gene expression signature of HER2 pathway activity. Over-expression was validated using Western blots. Illumina RNA-Seq technology was used to capture the downstream transcriptional activity. Reads were 101 base pairs long and single ended. An R open source package “Rsubread” was used to align and quantify the read using UCSC hg19 annotation. The integer-based gene counts were later normalized in FPKM and TPM . Overall design: A profile of gene expression, downstream of ERBB2/HER2 over-expression, was generated in cells derived from breast and used to generate a gene-expression signature reflective of HER2 pathway activation status.

Publication Title

Alternative preprocessing of RNA-Sequencing data in The Cancer Genome Atlas leads to improved analysis results.

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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