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accession-icon GSE38554
Gene expression profiling of FFPE breast cancer samples
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We implemented an optimized processing, using alternative Chip Description Files (CDFs) and fRMA normalization, which improve the quality of downstream analysis.

Publication Title

Accurate data processing improves the reliability of Affymetrix gene expression profiles from FFPE samples.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE58383
Breast cancer tumor promoting cell transcriptome
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

In this study we obtained gene expression profiles of MCFS and parental MCF7 cell lines using Illumina microarrays

Publication Title

In-depth characterization of breast cancer tumor-promoting cell transcriptome by RNA sequencing and microarrays.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE37182
Time course analysis of colon cancer samples
  • organism-icon Homo sapiens
  • sample-icon 144 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Effects of warm ischemic time on gene expression profiling in colorectal cancer tissues and normal mucosa.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject, Time

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accession-icon GSE37175
Time course analysis of colon cancer samples (part 1)
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

The study outcome was to evaluate the effect of the time on normal colon mucosa samples and possibly select specific genes whose expression is time-related, that could be used as detectors of tissue degradation.

Publication Title

Effects of warm ischemic time on gene expression profiling in colorectal cancer tissues and normal mucosa.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject, Time

View Samples
accession-icon GSE37178
Time course analysis of colon cancer samples (part 2)
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

The study outcome was to evaluate the effect of the time on tumor samples and possibly select specific genes whose expression is time-related, that could be used as detectors of tissue degradation.

Publication Title

Effects of warm ischemic time on gene expression profiling in colorectal cancer tissues and normal mucosa.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject, Time

View Samples
accession-icon GSE51452
Gene expression profiling of FFPE breast cancer samples [Affymetrix vs. Illumina]
  • 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

Use of formalin-fixed paraffin-embedded samples for gene expression studies in breast cancer patients.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE51450
Gene expression profiling of FFPE breast cancer samples [Affymetrix platform]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The use of Affymetrix U133 2.0 Plus chips on FFPE samples when coupled with a qPCR-based sample pre-assessment step, yielded satisfactory results from the point of view of biological reliability. When compared with the Illumina DASL WG platform, specifically designed for degraded RNA, the data generated with the Affymetrix platform showed a wider interquartile range (IQR 1.32 vs 0.57, p<2.2x10-16) suggesting a superior discriminatory power within samples as indicated by the good agreement with the immunohistiochemically derived ER status.

Publication Title

Use of formalin-fixed paraffin-embedded samples for gene expression studies in breast cancer patients.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE11701
Genes modulated by miR-205 in DU145 prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina humanRef-8 v2.0 expression beadchip

Description

The study was aimed at identifying genes directly or indirectly regulated by miR-205 in the prostate. To this purpose, DU145 prostate cancer cells, which express miR-205 at very low levels, were transfected with miR-205 synthetic precursor and consequent alterations of gene expression analyzed using a microarray approach.

Publication Title

miR-205 Exerts tumor-suppressive functions in human prostate through down-regulation of protein kinase Cepsilon.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9195
Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen
  • organism-icon Homo sapiens
  • sample-icon 77 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Estrogen receptor positive (ER+) breast cancers (BC) are heterogeneous with regard to their clinical behavior and response to therapies. The ER is currently the best predictor of response to the anti-estrogen agent tamoxifen, yet up to 30-40% of ER+BC will relapse despite tamoxifen treatment. New prognostic biomarkers and further biological understanding of tamoxifen resistance are required. We used gene expression profiling to develop an outcome-based predictor using a training set of 255 ER+ BC samples from women treated with adjuvant tamoxifen monotherapy. We used clusters of highly correlated genes to develop our predictor to facilitate both signature stability and biological interpretation. Independent validation was performed using 362 tamoxifen-treated ER+ BC samples obtained from multiple institutions and treated with tamoxifen only in the adjuvant and metastatic settings.

Publication Title

Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen.

Sample Metadata Fields

Age, Disease stage, Treatment

View Samples
accession-icon SRP055677
RNA-seq analysis of add-back rescued TALEN-mediated LATS2 knockout HeLa-S3 cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Chromatin modifying activities for construction of appropriate epigenetic landscapes by polycomb repressive complex 2 (PRC2) play an essential role in development and tumorigenesis. However, the spatiotemporal mechanisms by which PRC2 achieves diverse epigenomes for specific tissue or cellular contexts remain poorly understood. Here, we discovered that LATS2 knockout causes dysregulation of PRC2 and subsequent transcriptome changes for differentiation in both mouse and human cells. LATS2 depletion dependent dysregulation of PRC2 also effects H3K4me3 and forms negative feedback loop for maintenance of PRC2. Further analyses reveal that LATS2 on chromatin binds to EZH2 and LATS2 has ability to phosphorylate PRC2 in vitro. These LATS2 dependent H3K27me3 targets are highly induced during neurogenesis, and statistical analysis of glioblastoma multiforme reveals that LATS2-high cases show more dedifferentiated transcriptome and poor prognosis with silencing of H3K27me3 targets. These observations suggest that LATS2-mediated epigenome coordination is pivotal for development and disease, including cancer. Overall design: mRNA of LATS2 KO HeLa-S3 cells rescued by empty vector, wild-type LATS2 or kinase-dead LATS2 were subjected to deep sequencing profiling using Illumina HiSeq 2500

Publication Title

LATS2 Positively Regulates Polycomb Repressive Complex 2.

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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