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accession-icon GSE31683
Krppel-like Factor 9 and Progesterone Receptor Co-Regulation of Decidualizing Endometrial Stromal Cells: Implications for its Loss in the Pathogenesis of Endometriosis
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Endometriosis is characterized by progesterone resistance and is associated with infertility. Krppel-like Factor 9 (KLF9) is a progesterone receptor (PGR)-interacting protein, and mice null for Klf9 are subfertile. Whether loss of KLF9 contributes to progesterone resistance of eutopic endometrium of women with endometriosis is unclear. The aim of this study was to investigate KLF9 and PGR co-regulation of human endometrial stromal cell (HESC) transcriptome network.

Publication Title

Krüppel-like factor 9 and progesterone receptor coregulation of decidualizing endometrial stromal cells: implications for the pathogenesis of endometriosis.

Sample Metadata Fields

Specimen part

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accession-icon GSE27155
Human thyroid adenomas, carcinomas, and normals
  • organism-icon Homo sapiens
  • sample-icon 99 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Human samples of various thyroid carcinomas, adenomas, and normals, each from a different patient, had mRNA assays performed using Affymetrix HG_U133A arrays, with 22283 probe-sets. The 99 samples consisted of 4 normals, 10 follicular adenomas, 13 follicular carcinomas, 7 oncocytic adenomas, 8 oncocytic carcinomas, 51 papillary carcinomas (each typed as having classical, follicular or tall cell morphology), 4 anaplastic carcinomas, and 2 medullary carcinomas. Interesting additional information on common mutations are provided including RAS mutation, BRAF mutation, RET/PTC rearrangements, and PAX8/PPARG translocations. Details of those assays are provided in our linked publications, as well as additional details on the specific mutations in a few special cases. No survival data is provided. Information for 93 of the 99 samples was previously made available on the web. The anaplastic and medullary carcinoma data were not previously shared. A supplementary Excel spreadsheet holding the same processed data as the series matrix file is provided and is more compact. The raw (.CEL) files are also provided.

Publication Title

Molecular classification of papillary thyroid carcinoma: distinct BRAF, RAS, and RET/PTC mutation-specific gene expression profiles discovered by DNA microarray analysis.

Sample Metadata Fields

Specimen part

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accession-icon GSE43897
Expression data from mouse ALDH1 positive and ALDH1 negative ovarian surface epithelium (OSE) cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The hilum region of the mouse ovary, the transitional/junction area between OSE, mesothelium and tubal (oviductal) epithelium is identified as a previously unrecognized stem cell niche of the OSE. OSE cells with high ALDH1 activity have been predominantly detected in the hilum region by immunohistochemical staining.

Publication Title

Ovarian surface epithelium at the junction area contains a cancer-prone stem cell niche.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE17933
Transcriptional Biomarkers to Predict Female Mouse Lung Tumors in Rodent Cancer Bioassays - A 26 Chemical Set
  • organism-icon Mus musculus
  • sample-icon 191 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The process for evaluating chemical safety is inefficient, costly, and animal intensive. There is growing consensus that the current process of safety testing needs to be significantly altered to improve efficiency and reduce the number of untested chemicals. In this study, the use of short-term gene expression profiles was evaluated for predicting the increased incidence of mouse lung tumors. Animals were exposed to a total of 26 diverse chemicals with matched vehicle controls over a period of three years. Upon completion, significant batch-related effects were observed. Adjustment for batch effects significantly improved the ability to predict increased lung tumor incidence. For the best statistical model, the estimated predictive accuracy under honest five-fold cross-validation was 79.3% with a sensitivity and specificity of 71.4 and 86.3%, respectively. A learning curve analysis demonstrated that gains in model performance reached a plateau at 25 chemicals, indicating that the size of the current data set was sufficient to provide a robust classifier. The classification results showed a small subset of chemicals contributed disproportionately to the misclassification rate. For these chemicals, the misclassification was more closely associated with genotoxicity status than efficacy in the original bioassay. Statistical models were also used to predict dose-response increases in tumor incidence for methylene chloride and naphthalene. The average posterior probabilities for the top models matched the results from the bioassay for methylene chloride. For naphthalene, the average posterior probabilities for the top models over-predicted the tumor response, but the variability in predictions were significantly higher. The study provides both a set of gene expression biomarkers for predicting chemically-induced mouse lung tumors as well as a broad assessment of important experimental and analysis criteria for developing microarray-based predictors of safety-related endpoints.

Publication Title

Use of short-term transcriptional profiles to assess the long-term cancer-related safety of environmental and industrial chemicals.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Subject

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accession-icon GSE7224
Gene expression in tonsil and oral epithelia
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To study characteristics of the orapharyngeal epithelia which may influence susceptibility or resistance to HIV, we performed microarray analysis of the tonsil and gingival epithelium.Tonsil epithelium has been implicated in HIV pathogenesis, but its role in oral transmission remains controversial. We performed microarray analysis of Laser Capture Microdissected tonsil and gingival epithelium. Our data revealed that genes related to immune functions such as antibody production and antigen processing were increasingly expressed in tonsil compared to the epithelium of another oro-pharyngeal site, gingival epithelium. Importantly, tonsil epithelium highly expressed genes associated with HIV entrapment and/or transmission, including the HIV co-receptor CXCR4 and the potential HIV binding molecules, FcRIII, complement receptor 2, and various complement components. This increased expression of molecules involved in viral recognition, binding and entry may favor virus-epithelium interaction in an environment with reduced innate anti-viral mechanisms. Specifically, secretory leukocyte protease inhibitor, an innate molecule with anti-HIV activity, was minimal in the tonsil epithelium, in contrast to oral mucosa. Collectively, our data suggest that increased expression of molecules associated with HIV binding and entry coupled with decreased innate anti-viral factors may render the tonsil a potential site for oral transmission.

Publication Title

Tonsil epithelial factors may influence oropharyngeal human immunodeficiency virus transmission.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP092131
Novel RNA biomarkers of prostate cancer revealed by RNA-seq analysis of formalin-fixed samples obtained from Russian patients
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

Due to heterogeneous multifocal nature of prostate cancer (PCa), there is currently a lack of biomarkers that stably distinguish it from benign prostatic hyperplasia (BPH), predict clinical outcome and guide the choice of optimal treatment. In this study, RNA-seq analysis was applied to formalin-fixed paraffin-embedded (FFPE) tumor and matched normal tissue samples collected from Russian patients with PCa and BPH. We identified 3384 genes differentially expressed (DE) (FDR < 0.05) between tumor tissue of PCa patients and adjacent normal tissue as well as both tissue types from BPH patients. Overexpression of four of the genes previously not associated with PCa (ANKRD34B, NEK5, KCNG3, and PTPRT) was validated by RT-qPCR. Furthermore, the enrichment analysis of overrepresented microRNA and transcription factor (TF) recognition sites within DE genes revealed common regulatory elements of which 13 microRNAs and 53 TFs were thus linked to PCa for the first time. Moreover, 8 of these TFs (FOXJ2, GATA6, NFE2L1, NFIL3, PRRX2, TEF, EBF2 and ZBTB18) were found to be differentially expressed in this study, making them not only candidate biomarkers of prostate cancer but also potential therapeutic targets. Overall design: Whole transcriptome profiling of tumor tissue and matched adjacent normal tissue from 15 patients with PCa and 2 with BPH.

Publication Title

Novel RNA biomarkers of prostate cancer revealed by RNA-seq analysis of formalin-fixed samples obtained from Russian patients.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon GSE16357
Effects of HHV8 infection in lymphatic endothelial cells
  • organism-icon Homo sapiens
  • sample-icon 36 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

KSHV-encoded miRNAs target MAF to induce endothelial cell reprogramming.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE63941
Expression data from cultured human esophageal squamous cell carcinoma cell lines and cultured human fibroblasts.
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cancer cells express different sets of receptor type tyrosine kinases. These receptor kinases may be activated through autocrine or paracrine mechanisms. Fibroblasts may modify the biologic properties of surrounding cancer cells through paracrine mechansms.

Publication Title

The role of HGF/MET and FGF/FGFR in fibroblast-derived growth stimulation and lapatinib-resistance of esophageal squamous cell carcinoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE16354
Infection of Lymphatic and Blood Vessel Endothelial Cells (LEC and BEC) with KSHV
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Kaposi sarcoma is the most common cancer in AIDS patients and is typified by red skin lesions. The disease is caused by the KSHV virus (HHV8) and is recognisable by its distinctive red skin lesions. The lesions are KSHV-infected spindle cells, most commonly the lymphatic endothelial and blood vessel endothelial cells (LEC and BEC), plus surrounding stroma. The effects of KSHV infection of both LEC and BEC were assayed using Affymetrix hgu133plus2 chips at 72 hours post infection.

Publication Title

KSHV-encoded miRNAs target MAF to induce endothelial cell reprogramming.

Sample Metadata Fields

Specimen part

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accession-icon GSE16355
Lymphatic endothelial cells (LEC) transfected with the KSHV microRNA cluster
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Kaposi sarcoma is the most common cancer in AIDS patients and is typified by red skin lesions. The disease is caused by the KSHV virus (HHV8) and is recognisable by its distinctive red skin lesions. The lesions are KSHV-infected spindle cells, most commonly the lymphatic endothelial and blood vessel endothelial cells (LEC and BEC), plus surrounding stroma. The KSHV virus expresses multiple microRNA in a single cluster. Here we test the effects of this KSHV microRNA cluster in LEC cells using Affymetrix hgu133plus2 chips.

Publication Title

KSHV-encoded miRNAs target MAF to induce endothelial cell reprogramming.

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)

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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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