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Homo sapiens
108 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
DNA methylation profiling reveals a predominant immune component in breast cancers.
Sample Metadata Fields
Specimen part, Disease stage, Cell line, Treatment
View Samples- Homo sapiens
- 90 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Breast cancer is a molecularly, biologically and clinically heterogeneous group of disorders. Understanding this diversity is essential to improving diagnosis and optimising treatment. Both genetic and acquired epigenetic abnormalities participate in cancer, but information is scant on the involvement of the epigenome in breast cancer and its contribution to the complexity of the disease. Here we used the Infinium Methylation Platform to profile at single-CpG resolution (over 14,000 genes interrogated) the methylomes of 119 breast tumours. It emerges that many genes whose expression is linked to the ER status are epigenetically controlled (or/ we show that the two major phenotypes of breast cancers determined by ER status are widely involving epigenetic regulatory mechanisms), offering the prospect of a novel approach to treating ER-positive tumours. We have distinguished methylation-profile-based tumour clusters, some coinciding with known expression subtypes but also new entities that may provide a meaningful basis for refining breast tumour typology. We show that methylation patterns may reflect the cellular origins of tumours. Having highlighted an unexpectedly strong epigenetic component in the regulation of key immune pathways, we show that a set of immune genes have high prognostic value in specific tumour categories. By laying the ground for better understanding of breast cancer heterogeneity and improved tumour taxonomy, the precise epigenetic portraits drawn here should contribute to better management of breast cancer patients.
Publication Title
DNA methylation profiling reveals a predominant immune component in breast cancers.
Sample Metadata Fields
Disease stage
View Samples- Homo sapiens
- 18 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Breast cancer is a molecularly, biologically and clinically heterogeneous group of disorders. Understanding this diversity is essential to improving diagnosis and optimising treatment. Both genetic and acquired epigenetic abnormalities participate in cancer, but information is scant on the involvement of the epigenome in breast cancer and its contribution to the complexity of the disease. Here we used the Infinium Methylation Platform to profile at single-CpG resolution (over 14,000 genes interrogated) the methylomes of 119 breast tumours. It emerges that many genes whose expression is linked to the ER status are epigenetically controlled (or/ we show that the two major phenotypes of breast cancers determined by ER status are widely involving epigenetic regulatory mechanisms), offering the prospect of a novel approach to treating ER-positive tumours. We have distinguished methylation-profile-based tumour clusters, some coinciding with known expression subtypes but also new entities that may provide a meaningful basis for refining breast tumour typology. We show that methylation patterns may reflect the cellular origins of tumours. Having highlighted an unexpectedly strong epigenetic component in the regulation of key immune pathways, we show that a set of immune genes have high prognostic value in specific tumour categories. By laying the ground for better understanding of breast cancer heterogeneity and improved tumour taxonomy, the precise epigenetic portraits drawn here should contribute to better management of breast cancer patients.
Publication Title
DNA methylation profiling reveals a predominant immune component in breast cancers.
Sample Metadata Fields
Specimen part, Cell line, Treatment
View Samples- Homo sapiens
- 16 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Human conjunctival cell lines are useful tools for modeling ocular surface disease and evaluation of ocular drugs. Here we demonstrate that the IOBA-NHC and the ChWK conjunctival epithelial cell lines show, using an unbiased gene microarray approach, unique gene expression signatures that differ from primary conjunctival epithelial cells (PCEC) and conjunctival tissue. Globally, the expression profile obtained with the Affymetrix U133A chip (>22000 genes) from PCEC was clustered more closely to conjunctival tissue than either of the 2 cell lines. However, when restricted to Gene Ontology sub-categories: cellular defense, viral replication/cycling, antigen presentation, anti-oxidant pathways and ubiquitin ligase complex, the cell lines correlated reasonably well to PCEC (r > 0.70). In the category response to inflammation, correlation of cell lines to PCEC was poor (r = -0.012 and 0.041 for IOBA-NHC and ChWK respectively). In general, the expression profile in IOBA-NHC cells was better correlated to PCEC than the ChWK cells. This was statistically significant (p<0.05) when one considers all the genes on the chip, or for proteins in the extracellular region, response to wounding, stress, lipid, protein and organic acid metabolism, development and differentiation. Our results are useful for the choice of conjunctival cell lines, if necessary, in future experiments, to increase validity of extrapolation to clinical scenarios.
Publication Title
Comparison of gene expression profiles of conjunctival cell lines with primary cultured conjunctival epithelial cells and human conjunctival tissue.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 11 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
p63 mutations have been associated with several human hereditary disorders characterized by ectodermal dysplasia such as EEC syndrome, ADULT syndrome and AEC syndrome . The location and functional effects of the mutations that underlie these syndromes reveal a striking genotype-phenotype correlation. Unlike EEC and ADULT that result from missense mutations in the DNA-binding domain of p63, AEC is solely caused by missense mutations in the SAM domain of p63. We report a study on the TAp63a isoform, the first to be expressed during development of the embryonic epithelia, and on its naturally occurring Q540L mutant derived from an AEC patient. To assess the effects of the Q540L mutation, we generated stable cell lines expressing TAp63a wt, DeltaNp63 alpha or the TAp63 alpha-Q540L mutant protein and used them to systematically compare the cell growth regulatory activity of the mutant and wt p63 proteins and to generate, by microarray analysis, a comprehensive profile of differential gene expression. We found that the Q540L substitution impairs the transcriptional activity of TAp63a and causes misregulation of genes involved in the control of cell growth and epidermal differentiation.
Publication Title
The Hay Wells syndrome-derived TAp63alphaQ540L mutant has impaired transcriptional and cell growth regulatory activity.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 16 Downloadable Samples
Illumina HiSeq 2500
Description
The abnormal regulation of amyloid-b (Ab) metabolism (e.g., production, cleavage, clearance) plays a central role in Alzheimer’s disease (AD). Among endogenous factors believed to participate in AD progression are the small regulatory non-coding microRNAs (miRs). In particular, the miR-132/212 cluster is severely reduced in the AD brain. In previous studies we have shown that miR-132/212 deficiency in mice leads to impaired memory and enhanced Tau pathology as seen in AD patients. Here we demonstrate that the genetic deletion of miR-132/212 promotes Ab deposition and amyloid (senile) plaque formation in triple transgenic AD (3xTg-AD) mice. Using RNA-Seq and bioinformatics, we identified genes of the miR-132/212 network with documented roles in the regulation of Ab metabolism, including Tau, Mapk, and Sirt1. Overall design: We used RNA-Seq to analyse the hippocampus of 3xTg-AD mice lacking the miR-132/212 cluster as well as Neuro2a cells overexpressing miR-132 mimics.
Publication Title
microRNA-132/212 deficiency enhances Aβ production and senile plaque deposition in Alzheimer's disease triple transgenic mice.
Sample Metadata Fields
Age, Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 9 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The effect of CLA on gene expression in Caco-2 cells
Publication Title
Conjugated linoleic acid alters global gene expression in human intestinal-like Caco-2 cells in an isomer-specific manner.
Sample Metadata Fields
No sample metadata fields
View Samples- Saccharomyces cerevisiae
- 4 Downloadable Samples
- Illumina HiSeq 2000
Description
Transcriptome study of 2 Saccharomyces cerevisiae W303 derivatives, one carrying GFP (control) and one carrying aSyn-GFP
Publication Title
Different 8-hydroxyquinolines protect models of TDP-43 protein, α-synuclein, and polyglutamine proteotoxicity through distinct mechanisms.
Sample Metadata Fields
Specimen part, Disease, Cell line
View Samples
GSE39397- Homo sapiens
- 49 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Dependency of colorectal cancer on a TGF-β-driven program in stromal cells for metastasis initiation.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Treatment, Subject
View Samples- Homo sapiens
- 23 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The survival of isolated metastatic cells and expansion into macroscopic tumour has been recognized as a limiting step for metastasis formation in several cancer types yet the determinants of this process remain largely uncharacterized. In colorectal cancer (CRC), we identify a transcriptional programme in tumour-associated stromal cells, which is intimately linked to a high risk of developing recurrent disease after therapy. A large proportion of CRCs display mutational inactivation of the TGF-beta pathway but paradoxically they are characterized by high TGF-beta production. In these tumours, TGF-beta instructs a transcriptional programme in stromal cells, which confers a high risk of developing metastatic disease.
Publication Title
Dependency of colorectal cancer on a TGF-β-driven program in stromal cells for metastasis initiation.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Subject
View Samples