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GSE20713
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- Mus musculus
- 79 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Transcript data from quadriceps skeletal muscle from fasted-state male BXD strains on Quadriceps, Chow or Quadriceps, High fat diet
Publication Title
An evolutionarily conserved role for the aryl hydrocarbon receptor in the regulation of movement.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 36 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
Transcript data from brown adipose tissue from fasted-state male BXD strains on chow or high fat diet
Publication Title
An evolutionarily conserved role for the aryl hydrocarbon receptor in the regulation of movement.
Sample Metadata Fields
Specimen part
View Samples- Caenorhabditis elegans
- 12 Downloadable Samples
- Affymetrix C. elegans Genome Array (celegans)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Chromosome-biased binding and gene regulation by the Caenorhabditis elegans DRM complex.
Sample Metadata Fields
Specimen part
View Samples- Caenorhabditis elegans
- 12 Downloadable Samples
Affymetrix C. elegans Genome Array (celegans)
Description
DRM is a conserved transcription factor complex that includes E2F/DP and pRB family proteins and plays important roles in development and cancer. Here we perform microarray expression profiling analysis of lin-54, a DNA-binding member of the DRM complex. To identify genes regulated by LIN-54 in soma and germline, we analyzed wild-type and lin-54 mutant C. elegans embryos and isolated germlines. We chose embryos because they consist primarily of somatic cells, at a developmental stage with both active cell divisions and dynamic developmental gene expression programs. Since lin-54 null animals are sterile, embryos were obtained from a strain carrying the partial loss-of-function allele lin-54(n2990). Germlines were dissected from lin-54(n3423) null adults that lack detectable transcript and protein. The results revealed conserved roles for DRM in regulating genes involved in cell division, development, and reproduction. We find LIN-54 promotes expression of reproduction genes in the germline, but prevents ectopic activation of germline-specific genes in embryonic soma. Strikingly, genomics and cytological analyses show that DRM binding, a DRM binding motif, and LIN-54-regulated genes are all autosome-enriched. One paradoxical exception occurs the germline, where DRM binds autosomes but genes down-regulated in DRM mutants are enriched on X chromosomes.
Publication Title
Chromosome-biased binding and gene regulation by the Caenorhabditis elegans DRM complex.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 14 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
This study is a follow-up to GSE35790.
Publication Title
Transcriptional regulatory logic of the diurnal cycle in the mouse liver.
Sample Metadata Fields
Sex, Specimen part, Time
View Samples- Mus musculus
- 7 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Genome-wide RNA polymerase II profiles and RNA accumulation reveal kinetics of transcription and associated epigenetic changes during diurnal cycles.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 7 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Cyclic regulatory systems are ubiquitous in cells and tissues. In the liver rhythms in mRNA expression are determined by the homeostatic regulation that operates on daily circumstances. In particular the specific response to nutrients, as well as systemic and peripheral circadian oscillators, contribute to the set up of the hepatic homeostasis at different phases of the day. In this series we used microarrays to detail the global program of gene expression in the mouse liver under physiological daily variations, determined by both the feeding and the circadian cycles.
Publication Title
Genome-wide RNA polymerase II profiles and RNA accumulation reveal kinetics of transcription and associated epigenetic changes during diurnal cycles.
Sample Metadata Fields
Specimen part
View Samples