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accession-icon GSE11001
Genome-wide expression profiling from formalin-fixed paraffin-embedded breast cancer core biopsies
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The routine workflow for invasive cancer diagnostics is based on biopsy processing by formalin fixation and subsequent paraffin embedding. Formalin-fixed paraffin-embedded (FFPE) tissue samples are easy to handle, stable and particularly suitable for morphologic evaluation, immunohistochemistry and in situ hybridization. However, it has become a paradigm that these samples cannot be used for genome-wide expression analysis with microarrays. To oppose this view, we present a pilot microarray study using FFPE core needle biopsies from breast cancers as RNA source. We found that microarray probes interrogating sequences near the poly-A-tail of the transcribed genes were well suitable to measure RNA levels in FFPE core needle biopsies. For the ER and the HER2 gene, we observed strong correlations between RNA levels measured in these probe sets and protein expression determined by immunohistochemistry (p = 0.000003 and p = 0.0022). Further, we have identified a signature of 364 genes that correlated with ER protein status and a signature of 528 genes that correlated with HER2 protein status. Many of these genes (ER: 60%) could be confirmed by analysis of an independent publicly available data set. Finally, a hierarchical clustering of the biopsies with respect to three recently reported gene expression grade signatures resulted in widely stable low and high expression grade clusters that correlated with the pathological tumor grade. These findings support the notion that clinically relevant information can be gained from microarray based gene expression profiling of FFPE cancer biopsies. This opens new opportunities for the integration of gene expression analysis into the workflow of invasive cancer diagnostics as well as translational research in the setting of clinical studies.

Publication Title

Genome-wide gene expression profiling of formalin-fixed paraffin-embedded breast cancer core biopsies using microarrays.

Sample Metadata Fields

Disease stage

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accession-icon GSE14764
A Prognostic Gene Expression Index in Ovarian Cancer
  • organism-icon Homo sapiens
  • sample-icon 80 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Ovarian carcinoma has the highest mortality rate among gynecological malignancies. In this project, we investigated the hypothesis that molecular markers are able to predict outcome of ovarian cancer independently of classical clinical predictors, and that these molecular markers can be validated using independent data sets. We applied a semi-supervised method for prediction of patient survival. Microarrays from a cohort of 80 ovarian carcinomas (TOC cohort) were used for the development of a predictive model, which was then evaluated in an entirely independent cohort of 118 carcinomas (Duke cohort). A 300 gene ovarian prognostic index (OPI) was generated and validated in a leave-one-out approach in the TOC cohort (Kaplan-Meier analysis, p=0.0087). In a second validation step the prognostic power of the OPI was confirmed in an independent data set (Duke cohort, p=0.0063). In multivariate analysis, the OPI was independent of the postoperative residual tumour, the main clinico-pathological prognostic parameter with an adjusted hazard ratio of 6.4 (TOC cohort, CI 1.8 23.5, p=0.0049) and 1.9 (Duke cohort, CI 1.2 3.0, p=0.0068). We constructed a combined score of molecular data (OPI) and clinical parameters (residual tumour), which was able to define patient groups with highly significant differences in survival. The integrated analysis of gene expression data as well as residual tumour can be used for optimised assessment of prognosis. As traditional treatment options are limited, this analysis may be able to optimise clinical management and to identify those patients that would be candidates for new therapeutic strategies.

Publication Title

A prognostic gene expression index in ovarian cancer - validation across different independent data sets.

Sample Metadata Fields

Specimen part, Disease stage

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accession-icon GSE13436
Influence of hyperthyroid conditions on gene expression in rat
  • organism-icon Rattus norvegicus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Influence of hyperthyroid conditions on gene expression in extraocular muscles of rats.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13413
Influence of hyperthyroid conditions on gene expression in rat tibialis anterior
  • organism-icon Rattus norvegicus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Extraocular muscles (EOMs) are a highly specialized type of tissue with a wide range of unique properties, including characteristic innervation, development, and structural proteins. Even though EOMs are frequently and prominently involved in thyroid-associated diseases, little is known about the immediate effects of thyroid hormone on these muscles. In order to create a comprehensive profile of changes in gene expression levels in EOMs induced by thyroid hormone, hyperthyroid conditions were simulated by treating adult Sprague-Dawley rats with intraperitoneal injections of 25 g T3 per 100 g body weight over the course of six weeks; subsequently, microarray analysis was used to determine changes in mRNA levels in EOMs from T3-treated animals relative to untreated controls.

Publication Title

Influence of hyperthyroid conditions on gene expression in extraocular muscles of rats.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE13414
Influence of hyperthyroid conditions on gene expression in rat extraocular muscles
  • organism-icon Rattus norvegicus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Extraocular muscles (EOMs) are a highly specialized type of tissue with a wide range of unique properties, including characteristic innervation, development, and structural proteins. Even though EOMs are frequently and prominently involved in thyroid-associated diseases, little is known about the immediate effects of thyroid hormone on these muscles. In order to create a comprehensive profile of changes in gene expression levels in EOMs induced by thyroid hormone, hyperthyroid conditions were simulated by treating adult Sprague-Dawley rats with intraperitoneal injections of 25 g T3 per 100 g body weight over the course of six weeks; subsequently, microarray analysis was used to determine changes in mRNA levels in EOMs from T3-treated animals relative to untreated controls.

Publication Title

Influence of hyperthyroid conditions on gene expression in extraocular muscles of rats.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE7360
Equine Laminitis vs Control.
  • organism-icon Equus caballus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Equine lameller tissues were collected to compare normal vs laminitis generated differences in transcriptom level.

Publication Title

Gene expression in the lamellar dermis-epidermis during the developmental phase of carbohydrate overload-induced laminitis in the horse.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE5543
Gene Expression in Human Conjunctiva and Cornea
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

PURPOSE. To determine global mRNA expression levels in the corneal and conjunctival epithelia and identify transcripts that exhibit preferential tissue expression.

Publication Title

Comparative analysis of human conjunctival and corneal epithelial gene expression with oligonucleotide microarrays.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE15737
Fiber and NMJ / synaptic gene expression comparisons in rat extraocular muscle (EOM) and tibialis anterior (TA) muscle.
  • organism-icon Rattus norvegicus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Purpose: To examine and characterize the expression profile of genes expressed at the neuromuscular junctions (NMJs) of extraocular muscles (EOMs) in comparison to the NMJs of tibialis anterior muscle (TA).

Publication Title

Identification of the neuromuscular junction transcriptome of extraocular muscle by laser capture microdissection.

Sample Metadata Fields

Specimen part

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accession-icon GSE36392
Expression data from pulmonary Type 2 Myeloid (T2M) cells, Eosinophils, Neutrophils, and Macrophages, from IL-25 treated 4get mice
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Many symptoms associated with allergic asthma result from the sequelae of type 2 inflammation. Interleukin (IL)-25 promotes type 2 inflammatory responses, and T2M cells represent an IL-4 and IL-13 producing granulocytic IL-25 responsive population.

Publication Title

Interleukin-25 induces type 2 cytokine production in a steroid-resistant interleukin-17RB+ myeloid population that exacerbates asthmatic pathology.

Sample Metadata Fields

Specimen part

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accession-icon SRP034601
ERK signaling regulates opposing functions of JUN family transcription factors in prostate cancer cell migration
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Knockdowns of c-JUN and JUND had opposite effects on PC3 prostate cell migration. We predicted that c-JUN and JUND control the same set of cell migration genes, but in opposite directions. To test this hypothesis, mRNA with expression changes in c-JUN and JUND knockdown PC3 cell lines were compared to mRNA levels in control (luciferase knockdown) PC3 cells by RNA-seq. Overall design: mRNA profiles of luciferase knockdown (WT), c-Jun knockdown, and Jun-D knockdown in PC3 cells were generated using deep sequencing, in triplicate, using Illumina HiSeq. Knockdowns were stable shRNA expression from a lentiviral construct selected with puromycin.

Publication Title

Extracellular signal-regulated kinase signaling regulates the opposing roles of JUN family transcription factors at ETS/AP-1 sites and in cell migration.

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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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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