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GSE30521
Homo sapiens
22 Downloadable Samples
(ffymetrixhumanexon1.0starray[cdf:huex10stv2,corer3,a20071112,ep)
Description
Although many genes have been proposed to be involved in prostate carcinogenesis, no single gene or gene profile has shown to have prognostic value. The main challenge for clinical management is to distinguish slowly growing tumors from those that will relapse. In this study, we compared expression profiles of 18 prostate samples (7 with Gleason 6, 8 with Gleason 7 and 3 with Gleason score equal or higher than 8) and 5 non-neoplastic prostate samples, using the GeneChip Human Exon Array 1.0 ST of Affymetrix. Microarray analysis revealed 99 genes showing statistically significant differences among tumors with Gleason score 6, 7 and 8. In addition, mRNA expression of 29 selected genes was analyzed by qRT-PCR with microfluidic cards in an extended series of 30 prostate tumors. From these, 29 were selected to be validated and the differential expression of 18 of them (62%) was independently confirmed by quantitative real-time RT-PCR (14 upregulated and 4 downregulated in higher Gleason scores) in the extended series. This list was further narrowed down to 12 genes that were differentially expressed in tumors with Gleason score of 6-7 vs 8. Finally, the protein levels of two genes from the 12-gene signature (SEC14L1 and TCEB1) were additionally validated by immunohistochemistry. Strong protein levels of both genes were correlated with Gleason score, stage, and PSA progression.
Publication Title
A 12-gene expression signature is associated with aggressive histological in prostate cancer: SEC14L1 and TCEB1 genes are potential markers of progression.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 5 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Two colon cancer cell lines are under study. SW480 and SW620. The first one is derived from primary cancer, SW620 are from lymphnode metastatic sites. they both comes from the sampe patient. Polisomal RNA fractions from the two isogenic colon cancer cells lines was purified by sucrose gradient and hybridized on affymetrix hgu133a chips. this study is complementary to the series GSE1323 were total RNA was used instead. Comparison between the polysomal fraction chips and the total RNA chips is performed and the analysis proposed in a paper from the authors (at the moment in preparation).
Publication Title
Global alterations in mRNA polysomal recruitment in a cell model of colorectal cancer progression to metastasis.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
SW480 and SW620 are colon cancer cells lines derived from a primary tumor and a corresponding metastasis from the same individual. The numbers indicate the three indipendent replicate RNA samples processed. Three different software packages were used in parallel for signal calculation: Affymetrix microarray suite 5.0, DNA-Chip analyzer, and Robust multi-array analyses.
Publication Title
Global alterations in mRNA polysomal recruitment in a cell model of colorectal cancer progression to metastasis.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 18 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Epidermal stem cells ensure proper faring of skin homeostatic processes under both physiological and challenging conditions. Currently, the molecular events underpinning ageing within the epidermal stem cell niche are poorly understood.
Publication Title
In Silico Analysis of the Age-Dependent Evolution of the Transcriptome of Mouse Skin Stem Cells.
Sample Metadata Fields
Age, Specimen part
View Samples- Homo sapiens
- 12 Downloadable Samples
Illumina HiSeq 2000
Description
We analysed whole PolyA+ RNA from human osteosarcoma U2OS cells depleted for human Cactin or transfected with a control shRNA. Overall design: Two independent shRNAs targeting human Cactin (shCac_C and shCac_D), a control shRNA (shCtrl), a single cell line (U2OS)
Publication Title
Human cactin interacts with DHX8 and SRRM2 to assure efficient pre-mRNA splicing and sister chromatid cohesion.
Sample Metadata Fields
Cell line, Treatment, Subject, Time
View Samples- Mus musculus
- 9 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
The importance of regulatory T cells (Treg) for immune tolerance is well recognized, yet the signaling molecules influencing their suppressive activity are relatively poorly understood. We identified the cytoplasmic tyrosine phosphatase SHP-1 as a novel endogenous brake and modifier of the suppressive ability of Treg cells; consistent with this notion, loss of SHP-1 expression strongly augments the ability of Treg cells to suppress inflammation in a mouse model. Specific harmacological inhibition of SHP-1 enzymatic activity via the cancer drug sodium stibogluconate (SSG) potently augmented Treg cell suppressor activity both in vivo and ex vivo.
Publication Title
The protein tyrosine phosphatase SHP-1 modulates the suppressive activity of regulatory T cells.
Sample Metadata Fields
Specimen part
View Samples- Arabidopsis thaliana
- 18 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Comparative microarray-based transcriptome analysis of A. thaliana mlo2 mlo6 mlo12 mutants and wild type plants upon Golovinomyces orontii inoculation revealed an increased and accelerated accumulation of many defense-related transcripts. Despite the biotrophic nature of the interaction, this included the non-canonical activation of a jasmonic acid/ethylene-dependent transcriptional program.
Publication Title
Key Components of Different Plant Defense Pathways Are Dispensable for Powdery Mildew Resistance of the Arabidopsis <i>mlo2 mlo6 mlo12</i> Triple Mutant.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 60 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Transcriptional shift identifies a set of genes driving breast cancer chemoresistance.
Sample Metadata Fields
Sex, Age, Specimen part, Treatment
View Samples- Homo sapiens
- 28 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The aim of this study was to compare the gene expression profile changes breast tumors after the treatment with Anthracyclines and Taxanes. To this end, an oligonucleotide microarray was performed (Affymetrixs HG-U133 Plus 2.0 array). This gene expression study was carried out on the biopsied tumor samples previous being treated with chemotherapy, and subsequently compared with themselves once treatment schedule ended. The post-chemotherapy biopsy was obtained from the surgical piece. The goal of this study was the finding of several genes related to apoptosis, proliferation, differentiation, survival and transformation-related genes and correlating their differences in expression with the degree of response to chemotherapy, determined by the Miller and Payne histological grading system.
Publication Title
Transcriptional shift identifies a set of genes driving breast cancer chemoresistance.
Sample Metadata Fields
Sex, Age, Specimen part, Treatment
View Samples- Homo sapiens
- 19 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The aim of this study was to compare the gene expression profile changes breast tumors after the treatment with Anthracyclines and Taxanes. To this end, an oligonucleotide microarray was performed (Affymetrixs HG-U133 Plus 2.0 array). This gene expression study was carried out on the biopsied tumor samples previous being treated with chemotherapy, and subsequently compared with themselves once treatment schedule ended. The post-chemotherapy biopsy was obtained from the surgical piece. The goal of this study was the finding of several genes related to apoptosis, proliferation, differentiation, survival and transformation-related genes and correlating their differences in expression with the degree of response to chemotherapy, determined by the Miller and Payne histological grading system.
Publication Title
Transcriptional shift identifies a set of genes driving breast cancer chemoresistance.
Sample Metadata Fields
Sex, Age, Specimen part, Treatment
View Samples