This SuperSeries is composed of the SubSeries listed below.
Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology.
Specimen part, Disease
View SamplesWe present a more extensive and yet precise assessment to elucidate differences and similarities in performance at numerous aspects including signal range, sensitivity to fold-change, and fidelity with TaqMan qRT-PCR. There were three levels of data examined: entire data sets, data derived from gene name annotation oriented subset of 15442 RefSeq genes, and data derived from transcript pattern defined subset of 7034 RefSeq genes. Our results showed a fair degree of overall correlation between all 6 platforms evaluated; but, to varying degrees, two RNA-seq protocols outperformed three of the microarray platforms in most categories. Notably, a fourth microarray platform, Agilent, was comparable, or marginally superior, to the RNA-seq protocols within these same assessments. Furthermore, 3 platforms (Agilent and two RNA-seq methods) demonstrated over 80% concordance with the gold standard TaqMan assay in terms of fold-change accuracy. Our study suggests that the use of transcript patterns can enhance a number of the observed cross-platform correlations, indicating a potential usefulness for similar evaluations.
Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology.
Disease
View SamplesWe present a more extensive and yet precise assessment to elucidate differences and similarities in performance at numerous aspects including signal range, sensitivity to fold-change, and fidelity with TaqMan qRT-PCR. There were three levels of data examined: entire data sets, data derived from gene name annotation oriented subset of 15442 RefSeq genes, and data derived from transcript pattern defined subset of 7034 RefSeq genes. Our results showed a fair degree of overall correlation between all 6 platforms evaluated; but, to varying degrees, two RNA-seq protocols outperformed three of the microarray platforms in most categories. Notably, a fourth microarray platform, Agilent, was comparable, or marginally superior, to the RNA-seq protocols within these same assessments. Furthermore, 3 platforms (Agilent and two RNA-seq methods) demonstrated over 80% concordance with the gold standard TaqMan assay in terms of fold-change accuracy. Our study suggests that the use of transcript patterns can enhance a number of the observed cross-platform correlations, indicating a potential usefulness for similar evaluations.
Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology.
Disease
View SamplesWe present a more extensive and yet precise assessment to elucidate differences and similarities in performance at numerous aspects including signal range, sensitivity to fold-change, and fidelity with TaqMan qRT-PCR. There were three levels of data examined: entire data sets, data derived from gene name annotation oriented subset of 15442 RefSeq genes, and data derived from transcript pattern defined subset of 7034 RefSeq genes. Our results showed a fair degree of overall correlation between all 6 platforms evaluated; but, to varying degrees, two RNA-seq protocols outperformed three of the microarray platforms in most categories. Notably, a fourth microarray platform, Agilent, was comparable, or marginally superior, to the RNA-seq protocols within these same assessments. Furthermore, 3 platforms (Agilent and two RNA-seq methods) demonstrated over 80% concordance with the gold standard TaqMan assay in terms of fold-change accuracy. Our study suggests that the use of transcript patterns can enhance a number of the observed cross-platform correlations, indicating a potential usefulness for similar evaluations. Overall design: The study assessed differences and similarities in performance at numerous aspects including signal range, sensitivity to fold-change, and fidelity with TaqMan qRT-PCR. There were three levels of data examined: entire data sets, data derived from gene name annotation oriented subset of 15442 RefSeq genes, and data derived from transcript pattern defined subset of 7034 RefSeq genes.
Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology.
No sample metadata fields
View SamplesWe present a more extensive and yet precise assessment to elucidate differences and similarities in performance at numerous aspects including signal range, sensitivity to fold-change, and fidelity with TaqMan qRT-PCR. There were three levels of data examined: entire data sets, data derived from gene name annotation oriented subset of 15442 RefSeq genes, and data derived from transcript pattern defined subset of 7034 RefSeq genes. Our results showed a fair degree of overall correlation between all 6 platforms evaluated; but, to varying degrees, two RNA-seq protocols outperformed three of the microarray platforms in most categories. Notably, a fourth microarray platform, Agilent, was comparable, or marginally superior, to the RNA-seq protocols within these same assessments. Furthermore, 3 platforms (Agilent and two RNA-seq methods) demonstrated over 80% concordance with the gold standard TaqMan assay in terms of fold-change accuracy. Our study suggests that the use of transcript patterns can enhance a number of the observed cross-platform correlations, indicating a potential usefulness for similar evaluations. Overall design: The study assessed differences and similarities in performance at numerous aspects including signal range, sensitivity to fold-change, and fidelity with TaqMan qRT-PCR. There were three levels of data examined: entire data sets, data derived from gene name annotation oriented subset of 15442 RefSeq genes, and data derived from transcript pattern defined subset of 7034 RefSeq genes.
Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology.
No sample metadata fields
View SamplesPurpose: To investigate the effects of T cell-derived cytokines on gene and protein expression of chemokines in a human RPE cell line (ARPE-19).
Chemokine expression in retinal pigment epithelial ARPE-19 cells in response to coculture with activated T cells.
Specimen part, Cell line
View SamplesPurpose: The complement system is closely linked to the pathogenesis of age-related macular degeneration (AMD). Several complement genes are expressed in retinal pigment epithelium (RPE), and complement proteins accumulate in drusen. Further, a common variant of complement factor H (CFH) confers increased risk of developing AMD. Because the mechanisms by which changes in the function of CFH influence development of AMD are unclear, we examined ocular complement expression as a consequence of age in control and CFH null mutant mice.
Complement factor H deficiency results in decreased neuroretinal expression of Cd59a in aged mice.
Specimen part
View SamplesPurpose: Uveal melanoma (UM) is the most common primary intraocular tumor in adults and the presence of infiltrating leucocytes is associated with a poor prognosis. Little is known how infiltrating leucocytes influence the tumor cells. The purpose of this study was to investigate the effect of activated T cells on the expression of chemotactic cytokines in UM cells. Furthermore, we examined the ability of stimulated UM cells to attract monocytes.
Inflammation-induced chemokine expression in uveal melanoma cell lines stimulates monocyte chemotaxis.
Specimen part, Cell line
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Physiological genomics of response to soil drying in diverse Arabidopsis accessions.
Specimen part, Treatment
View SamplesThese data provide a basis for exploration of gene expression differences between physiologically diverse Spring annual accessions of Arabidopsis thaliana.
Physiological genomics of response to soil drying in diverse Arabidopsis accessions.
Specimen part, Treatment
View Samples