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accession-icon GSE66649
Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20), Agilent-014850 Whole Human Genome Microarray 4x44K G4112F (Feature Number version), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE66628
Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology (Affymetrix_Gene1.0) (exon analysis)
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconAgilent-014850 Whole Human Genome Microarray 4x44K G4112F (Feature Number version), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We 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.

Publication Title

Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology.

Sample Metadata Fields

Disease

View Samples
accession-icon GSE66648
Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology (Affymetrix_HTA2.0)
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconAgilent-014850 Whole Human Genome Microarray 4x44K G4112F (Feature Number version), Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

We 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.

Publication Title

Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology.

Sample Metadata Fields

Disease

View Samples
accession-icon SRP055917
Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology (RNA-seq_ClonTech)
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We 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.

Publication Title

Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP055916
Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology (RNA-seq_RiboZero)
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We 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.

Publication Title

Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE36331
Chemokine expression in retinal pigment epithelial cells in response to co-culture with activated T Cells
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Purpose: To investigate the effects of T cell-derived cytokines on gene and protein expression of chemokines in a human RPE cell line (ARPE-19).

Publication Title

Chemokine expression in retinal pigment epithelial ARPE-19 cells in response to coculture with activated T cells.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE38671
Complement Factor H deficiency results in decreased neuroretinal expression of Cd59a in aged mice.
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Purpose: 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.

Publication Title

Complement factor H deficiency results in decreased neuroretinal expression of Cd59a in aged mice.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE55983
Inflammation-induced chemokine expression in uveal melanoma cell lines stimulates monocyte chemotaxis
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Purpose: 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.

Publication Title

Inflammation-induced chemokine expression in uveal melanoma cell lines stimulates monocyte chemotaxis.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE27552
Physiological genomics of response to soil drying in diverse Arabidopsis accessions
  • organism-icon Arabidopsis thaliana
  • sample-icon 154 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Physiological genomics of response to soil drying in diverse Arabidopsis accessions.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE27548
cRNA hybridizations of 10 Spring annual accessions of Arabidopsis thaliana under well-watered and mild soil drying
  • organism-icon Arabidopsis thaliana
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

These data provide a basis for exploration of gene expression differences between physiologically diverse Spring annual accessions of Arabidopsis thaliana.

Publication Title

Physiological genomics of response to soil drying in diverse Arabidopsis accessions.

Sample Metadata Fields

Specimen part, Treatment

View Samples

refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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