We implemented an optimized processing, using alternative Chip Description Files (CDFs) and fRMA normalization, which improve the quality of downstream analysis.
Accurate data processing improves the reliability of Affymetrix gene expression profiles from FFPE samples.
Specimen part
View SamplesIn this study we obtained gene expression profiles of MCFS and parental MCF7 cell lines using Illumina microarrays
In-depth characterization of breast cancer tumor-promoting cell transcriptome by RNA sequencing and microarrays.
Specimen part, Cell line
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Effects of warm ischemic time on gene expression profiling in colorectal cancer tissues and normal mucosa.
Specimen part, Disease, Disease stage, Subject, Time
View SamplesThe 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.
Effects of warm ischemic time on gene expression profiling in colorectal cancer tissues and normal mucosa.
Specimen part, Disease, Disease stage, Subject, Time
View SamplesThe 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.
Effects of warm ischemic time on gene expression profiling in colorectal cancer tissues and normal mucosa.
Specimen part, Disease, Disease stage, Subject, Time
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Use of formalin-fixed paraffin-embedded samples for gene expression studies in breast cancer patients.
Specimen part
View SamplesThe 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.
Use of formalin-fixed paraffin-embedded samples for gene expression studies in breast cancer patients.
Specimen part
View SamplesThe 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.
miR-205 Exerts tumor-suppressive functions in human prostate through down-regulation of protein kinase Cepsilon.
No sample metadata fields
View SamplesBackground: 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.
Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen.
Age, Disease stage, Treatment
View SamplesChromatin 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
LATS2 Positively Regulates Polycomb Repressive Complex 2.
No sample metadata fields
View Samples