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GSE6367
Homo sapiens
40 Downloadable Samples
Affymetrix Human Genome U95 Version 2 Array (hgu95av2)
Description
Hormones and growth factors accelerate cell proliferation of breast cancer cells, and these molecules are well investigated targets for drug development and application. The mechanisms of cell proliferation of breast cancers lacking estrogen receptor (ER) and HER2 have not been fully understood. The purpose of the present study is to find genes that are differentially expressed in breast cancers and that might significantly contribute to cell proliferation in these cancers. Forty tumor samples, consisting of ten each of immunohistochemically ER(+)/HER2(-), ER(+)/HER2(+), ER(-)/HER2(+), and ER(-)/HER2(-) cancer were analyzed using oligonucleotide microarrays. Both genes and tumor samples were subjected to hierarchical clustering. ER(+)/HER2(-) breast cancers and ER(-)/HER2(-) cancers tended to form a tumor cluster, but HER2 positive breast cancers were split into different tumor clusters.
Publication Title
Overexpression of E2F-5 correlates with a pathological basal phenotype and a worse clinical outcome.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Dedifferentiated fat (DFAT) cells, established in vitro from mature adipocytes, exhibit certain properties of multipotent mesenchymal stem/stromal cells (MSCs), such as the ability to differentiate into multiple mesenchymal lineages. Although DFAT cells exhibit properties of proliferative progeny, at present there is only limited knowledge about their MSC-specific characteristics because those cells are considered to be potential artifacts of cell culture. To elucidate the identity of DFAT cells, we compared gene expression profiles of human DFAT cells and adipose-derived stem/stromal cells (ADSCs) established using adipose tissue from the same donors. Microarray analysis showed that global mRNA expression profiles of human DFAT cells were very similar to those of ADSCs, a representative MSC, despite being committed adipocyte progenitors.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 268 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
RNA was isolated from bronchial brushings obtained from current and former smokers with and without COPD. mRNA expression was profiled using Affymetrix Human Gene 1.0 ST Arrays.
Publication Title
A dynamic bronchial airway gene expression signature of chronic obstructive pulmonary disease and lung function impairment.
Sample Metadata Fields
Sex, Age, Specimen part, Subject
View Samples- Homo sapiens
- 83 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Rationale:
Publication Title
No associated publication
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
To determine gene expression changes induced by ATF4 overexpression, RNA was isolated from BEAS2B cells after overexpression of ATF4 or negative control. mRNA expression was profiled using Affymetrix Human Gene 1.0 ST Arrays.
Publication Title
No associated publication
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 210 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Left ventricular myocardium was snap-frozen at time of cardiac transplantation from patients with advanced idiopathic or ischemic cardiomyopathy, or at time of harvest from unused donor heart that serve as a nonfailing control. No subjects received mechanical support devices.
Publication Title
Transcriptional genomics associates FOX transcription factors with human heart failure.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 21 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
BACKGROUND: Assessment of gene expression in peripheral blood may provide a noninvasive screening test for allograft rejection. We hypothesized that changes in peripheral blood expression profiles would correlate with biopsy-proven rejection and would resolve after treatment of rejection episodes. METHODS AND RESULTS: We performed a case-control study nested within a cohort of 189 cardiac transplant patients who had blood samples obtained during endomyocardial biopsy (EMB). Using Affymetrix HU133A microarrays, we analyzed whole-blood expression profiles from 3 groups: (1) control samples with negative EMB (n=7); (2) samples obtained during rejection (at least International Society for Heart and Lung Transplantation grade 3A; n=7); and (3) samples obtained after rejection, after treatment and normalization of the EMB (n=7). We identified 91 transcripts differentially expressed in rejection compared with control (false discovery rate <0.10). In postrejection samples, 98% of transcripts returned toward control levels, displaying an intermediate expression profile for patients with treated rejection (P<0.0001). Cluster analysis of the 40 transcripts with >25% change in expression levels during rejection demonstrated good discrimination between control and rejection samples and verified the intermediate expression profile of postrejection samples. Quantitative real-time polymerase chain reaction confirmed significant differential expression for the predictive markers CFLAR and SOD2 (UniGene ID No. 355724 and No. 384944). CONCLUSIONS: These data demonstrate that peripheral blood expression profiles correlate with biopsy-proven allograft rejection. Intermediate expression profiles of treated rejection suggest persistent immune activation despite normalization of the EMB. If validated in larger studies, expression profiling may prove to be a more sensitive screening test for allograft rejection than EMB.
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 42 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately expressed. Here we have combined a large number of publically available microarray datasets (745 samples, from over 100 separate studies) derived from human primary cells and analysed on the Affymetrix U133plus2.0 array. Using the network analysis tool BioLayout Express3D we have constructed and clustered large correlation graphs of these data in order to identify robust co-associations of genes expressed in a wide variety of cell lineages. We discuss the biological significance of a number of these associations, in particular the coexpression of key transcription factors with the genes that they are likely to control. We consider the regulation of genes in human primary cells and specifically in the human mononuclear phagocyte system. Of particular note is the fact that these data do not support the identity of putative markers of antigen-presenting dendritic cells, nor classification of M1 and M2 activation states, a current subject of debate within immunological field. We have provided this data resource on the BioGPS web site (www.biogps.org) and on macrophages.com (www.macrophages.com).
Publication Title
An expression atlas of human primary cells: inference of gene function from coexpression networks.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 21 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Promoter region hypermethylation and transcriptional silencing is a frequent cause of tumour suppressor gene (TSG) inactivation in many types of human cancers. Functional epigenetic studies, in which gene expression is induced by treatment with demethylating agents, may identify novel genes with tumour-specific methylation. We used high-density gene expression microarrays in a functional epigenetic study of 11 renal cell carcinoma (RCC) cell lines. Twenty eight genes were then selected for analysis of promoter methylation status in cell lines and primary RCC. Eight genes (BNC1, PDLIM4/RIL, REPRIMORPRM, CST6, SFRP1, GREM1, COL14A1 and COL15A1) demonstrated frequent (>30% of RCC tested) tumour-specific promoter region methylation. Hypermethylation was associated with transcriptional silencing. Re-expression of BNC1, CST6, RPRM, and SFRP1 suppressed the growth of RCC cell lines. Whereas, RNAi-knock-down of BNC1, SFRP1 and COL14A1 increased the growth potential of RCC cell lines. Methylation of BNC1 or COL14A1 was associated with a poorer prognosis independent of tumour size, stage or grade. The identification of these epigenetically inactivated candidate RCC tumour suppressor genes can provide insights into renal tumourigenesis and a basis for developing novel therapies and biomarkers for prognosis and detection.
Publication Title
No associated publication
Sample Metadata Fields
Cell line
View Samples- Arabidopsis thaliana
- 18 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Here we compare transcriptomic data generated using Affymetrix one-cycle (standard labelling protocol), two-cycle (small-sample protocol) and IVT-Express protocols with the Affymetrix ATH1 array using Arabidopsis root samples. Results obtained with each protocol are broadly similar. However, we show that there are 35 probe sets (of a total of 22810) that are misrepresented in the two-cycle data sets. Of these, 33 probe sets were classed as mis-amplified when comparisons of two independent publicly available data sets were undertaken.
Publication Title
Statistical evaluation of transcriptomic data generated using the Affymetrix one-cycle, two-cycle and IVT-Express RNA labelling protocols with the Arabidopsis ATH1 microarray
Sample Metadata Fields
Age, Specimen part, Time
View Samples