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GSE1400
Homo sapiens
6 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a)
Description
RNA from MCF-7 cells was fractionated by sucrose density gradient centrifugation to separate RNA associated with membrane-bound polysomes from RNA associated with free polysomes. These two populations were hybridized in triplicate to U133A microarrays.
Publication Title
Membrane-associated and secreted genes in breast cancer.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The recruitment of mesenchymal stem cells in order to reconstruct damaged cartilage of osteoarthritis joints is a challenging tissue engineering task. Vision towards this goal is blurred by a lack of knowledge about the underlying differences between chondrocytes and MSC during the chondrogenic cultivation process. The aim of this study was to shed light on the differences between chondrocytes and MSC occurring during chondral differentiation through tissue engineering.
Publication Title
Expression pattern differences between osteoarthritic chondrocytes and mesenchymal stem cells during chondrogenic differentiation.
Sample Metadata Fields
Specimen part
View Samples- Arabidopsis thaliana
- 14 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Usually starch is nearly depleted at the end of the night. To induce a gradual depletion of carbon, we have analysed the global response of transcripts during an extension of the night, where carbon becomes severely limiting from about four hours onwards.
Publication Title
Global transcript levels respond to small changes of the carbon status during progressive exhaustion of carbohydrates in Arabidopsis rosettes.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 20 Downloadable Samples
IlluminaHiSeq2000
Description
Chromatin-based functional genomic analyses and genomewide association studies (GWASs) together implicate enhancers as critical elements influencing gene expression and risk for common diseases. Here, we performed systematic chromatin and transcriptome profiling in human pancreatic islets. Integrated analysis of islet data with those generated by the ENCODE project in nine cell types identified specific and significant enrichment of type 2 diabetes and related quantitative trait GWAS variants in islet enhancers. Our integrated chromatin maps reveal that most enhancers are short (median = 0.8 kb). Each cell type also contains a substantial number of more extended (=3 kb) enhancers. Interestingly, these stretch enhancers are often tissue-specific and overlap locus control regions, suggesting that they are important chromatin regulatory beacons. Indeed, we show that (i) tissue specificity of enhancers and nearby gene expression increase with enhancer length; (ii) neighborhoods containing stretch enhancers are enriched for important cell type-specific genes; and (iii) GWAS variants associated with traits relevant to a particular cell type are more enriched in stretch enhancers compared with short enhancers. Reporter constructs containing stretch enhancer sequences exhibited tissue-specific activity in cell culture experiments and in transgenic mice. These results suggest that stretch enhancers are critical chromatin elements for coordinating cell type-specific regulatory programs and that sequence variation in stretch enhancers affects risk of major common human diseases. Overall design: Integrated analysis of islet chromatin modification and transcriptome data with those generated by the ENCODE project. NISC Comparative Sequencing Program
Publication Title
Chromatin stretch enhancer states drive cell-specific gene regulation and harbor human disease risk variants.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 13 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
TTCA: an R package for the identification of differentially expressed genes in time course microarray data.
Sample Metadata Fields
Cell line, Treatment
View Samples- Homo sapiens
- 7 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
The analysis of microarray time series promises a deeper insight into the dynamics of the cellular response following stimulation. A common observation in this type of data is that some genes respond with quick, transient dynamics, while other genes change their expression slowly over time. The existing methods for the detection of significant expression dynamics often fail when the expression dynamics show a large heterogeneity, and often cannot cope with irregular and sparse measurements.
Publication Title
TTCA: an R package for the identification of differentially expressed genes in time course microarray data.
Sample Metadata Fields
Cell line, Treatment
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
The analysis of microarray time series promises a deeper insight into the dynamics of the cellular response following stimulation. A common observation in this type of data is that some genes respond with quick, transient dynamics, while other genes change their expression slowly over time. The existing methods for the detection of significant expression dynamics often fail when the expression dynamics show a large heterogeneity, and often cannot cope with irregular and sparse measurements.
Publication Title
TTCA: an R package for the identification of differentially expressed genes in time course microarray data.
Sample Metadata Fields
Cell line, Treatment
View Samples- Bos taurus
- 1 Downloadable Sample
- Illumina Genome Analyzer II
Description
The aim of this study was to identify and quantify microRNAs and other small regulatory RNAs expressed in primary retinal microvascular endothelial cells (RMECs) using deep sequencing. RMECs were isolated, RNA extracted, a small RNA library prepared and deep sequencing performed. A total of 6.8 million reads were mapped to 250 known microRNAs in miRBase (release 16). Several novel microRNAs and multiple new members of the miR-2284/2285 family were detected. Several ~30 nucleotide sno-miRNAs were identified, with the most highly expressed being derived from snoRNA U78. Highly expressed microRNAs previously associated with endothelial cells included miR-126 and miR-378, but the most highly expressed was miR-21, comprising more than one third of all mapped reads. The independence from prior sequence knowledge provided by deep sequencing facilitates analysis of novel microRNAs and other small RNAs. This approach also enables quantitative evaluation of microRNA expression, which has highlighted the predominance of a small number of microRNAs in RMECs. Further characterisation of the functions of the highly expressed microRNAs will provide insights into endothelial biology. Overall design: Single sample of primary cell culture
Publication Title
Deep sequencing reveals predominant expression of miR-21 amongst the small non-coding RNAs in retinal microvascular endothelial cells.
Sample Metadata Fields
Specimen part, Subject
View Samples- Arabidopsis thaliana
- 21 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
To investigate the response of Arabidopsis thaliana plants to non-freezing, cool temperatures, we subjected four week old plants to various chilling temperatures at defined times during the diurnal cycle to control for diurnal effects on transcription. From the same plants, metabolites and enzyme activities were measured as well. Interestingly a gradual change could be observed over a wide range of temperatures. Some of which could be attributed to the CBF program.
Publication Title
Multilevel genomic analysis of the response of transcripts, enzyme activities and metabolites in Arabidopsis rosettes to a progressive decrease of temperature in the non-freezing range.
Sample Metadata Fields
Specimen part
View Samples- Arabidopsis thaliana
- 17 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
How do the transcript levels of leaf-expressed genes change in a normal day-night cycle? The interest is in genes that are regulated by the circadian clock and the diurnal component (i.e. light, metabolite changes). Plants were grown on soil in a 12/12 h light/dark rythm at 20C day and night. 5 weeks after germination the rosettes of the non-flowering plants were harvested, 15 plants per sample. Plants were harvested at 6 timepoints every 4 hours beginning with the end of the night (still in darkness).
Publication Title
Sugars and circadian regulation make major contributions to the global regulation of diurnal gene expression in Arabidopsis.
Sample Metadata Fields
No sample metadata fields
View Samples