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accession-icon GSE89997
Expression data from 2 cohorts of human pancreatic ductal adenocarcinoma (PDAC) tumors
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

In this dataset, we included expression data obtained from 30 resected human PDAC tumors, to examine what genes are differentially expressed in different cohorts that might lead to various outcomes

Publication Title

Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE11769
Analysis of ectopic human endometrium and peritoneal tissues in nude mice
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Endometrial-peritoneal interactions during endometriotic lesion establishment.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE11768
Nude mouse model of endometriosis
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

The pathophysiology of endometriotic lesion development remains unclear but involves a complex interaction between ectopic endometrium and host peritoneal tissues. We hypothesised that disruption of this interaction was likely to suppress endometriotic lesion formation. We hoped to delineate the molecular and cellular dialogue between ectopic human endometrium and peritoneal tissues in nude mice, as a first step towards testing this hypothesis. Human endometrium was xenografted into nude mice and the resulting lesions were analysed using microarrays. A novel technique was developed that unambiguously determined whether RNA transcripts identified by the microarray analyses originated from human cells (endometrium) or mouse cells (stroma). Four key pathways (ubiquitin/proteosome, inflammation, tissue remodelling/repair and ras-mediated oncogenesis) were revealed, that demonstrated communication between host stromal cells and ectopic endometrium.

Publication Title

Endometrial-peritoneal interactions during endometriotic lesion establishment.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE11691
Euctopic and ectopic human endometrium (endometriosis)
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

The pathophysiology of endometriotic lesion development remains unclear but involves a complex interaction between ectopic endometrium and host peritoneal tissues. We hypothesised that disruption of this interaction was likely to suppress endometriotic lesion formation. We hoped to delineate the molecular and cellular dialogue between ectopic human endometrium and peritoneal tissues in nude mice, as a first step towards testing this hypothesis. Human endometrium was xenografted into nude mice and the resulting lesions were analysed using microarrays. A novel technique was developed that unambiguously determined whether RNA transcripts identified by the microarray analyses originated from human cells (endometrium) or mouse cells (stroma). Four key pathways (ubiquitin/proteosome, inflammation, tissue remodelling/repair and ras-mediated oncogenesis) were revealed, that demonstrated communication between host stromal cells and ectopic endometrium.

Publication Title

Endometrial-peritoneal interactions during endometriotic lesion establishment.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE19246
A novel method of amplification of FFPET derived-RNA enables accurate disease classification with microarrays
  • organism-icon Homo sapiens
  • sample-icon 171 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A new method for amplification and labeling of RNA is assessed that permits gene expression microarray analysis of formalin-fixed paraffin embedded tissue (i.e. FFPET) samples.

Publication Title

A novel method of amplification of FFPET-derived RNA enables accurate disease classification with microarrays.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE64853
High REDOX RESONSIVE TRANSCRIPTION FACTOR1 levels result in accumulation of reactive oxygen species in Arabidopsis thaliana shoots and roots [mature leaves]
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Redox Responsive Transcription Factor1 (RRTF1) in Arabidopsis is rapidly and transiently upregulated by H202, as well as biotic and abiotic induced redox signals. Inactivation of RRTF1 restricts and overexpression promotes reactive oxygen species (ROS) accumulation in response to stress. Overexpressor (oe) lines are impaired in root and shoot development, light sensitive and susceptible to Alternaria brassicae infection. These symptoms are diminished by the beneficial root endophyte Piriformospora indica which reduces ROS accumulation locally in roots and systemically in shoots, and by antioxidants and ROS inhibitors which scavenge ROS. More than 850 stress-, redox-, ROS regulated-, ROS scavenging-, defense-, cell death- and senescence-related genes are regulated by RRTF1, ~ 30% of them have ROS related functions. Bioinformatic analyses and in vitro DNA binding assays demonstrate that RRTF1 binds to GCC-box and GCC-box like sequences in the promoter of RRTF1-responsive genes. Upregulation of RRTF1 by stress stimuli as well as H2O2 requires WRKY18/40/60. RRTF1 is co-regulated with the phylogenetically related RAP2.6, which contains GCC-box like sequene in its promoter, but RAP2.6 oe lines do not accumulate higher ROS levels. RRTF1 stimulates systemic ROS accumulation in distal non-stressed leaves. We conclude that the highly conserved RRTF1 rapidly, transiently and systemically induce ROS accumulation in response to ROS and ROS-producing abiotic and biotic stress signals. Necrotrophs stimulate RRTF1 expression, while symbiotic interactions of Arabidopsis with (hemi)-biotrophs and P. indica do not affect or repress RRTF1 expression.

Publication Title

High REDOX RESPONSIVE TRANSCRIPTION FACTOR1 Levels Result in Accumulation of Reactive Oxygen Species in Arabidopsis thaliana Shoots and Roots.

Sample Metadata Fields

Specimen part

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accession-icon GSE64783
High REDOX RESONSIVE TRANSCRIPTION FACTOR1 levels result in accumulation of reactive oxygen species in Arabidopsis thaliana shoots and roots
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Redox Responsive Transcription Factor1 (RRTF1) in Arabidopsis is rapidly and transiently upregulated by H202, as well as biotic and abiotic induced redox signals. Inactivation of RRTF1 restricts and overexpression promotes reactive oxygen species (ROS) accumulation in response to stress. Overexpressor (oe) lines are impaired in root and shoot development, light sensitive and susceptible to Alternaria brassicae infection. These symptoms are diminished by the beneficial root endophyte Piriformospora indica which reduces ROS accumulation locally in roots and systemically in shoots, and by antioxidants and ROS inhibitors which scavenge ROS. More than 850 stress-, redox-, ROS regulated-, ROS scavenging-, defense-, cell death- and senescence-related genes are regulated by RRTF1, ~ 30% of them have ROS related functions. Bioinformatic analyses and in vitro DNA binding assays demonstrate that RRTF1 binds to GCC-box and GCC-box like sequences in the promoter of RRTF1-responsive genes. Upregulation of RRTF1 by stress stimuli as well as H2O2 requires WRKY18/40/60. RRTF1 is co-regulated with the phylogenetically related RAP2.6, which contains GCC-box like sequene in its promoter, but RAP2.6 oe lines do not accumulate higher ROS levels. RRTF1 stimulates systemic ROS accumulation in distal non-stressed leaves. We conclude that the highly conserved RRTF1 rapidly, transiently and systemically induce ROS accumulation in response to ROS and ROS-producing abiotic and biotic stress signals. Necrotrophs stimulate RRTF1 expression, while symbiotic interactions of Arabidopsis with (hemi)-biotrophs and P. indica do not affect or repress RRTF1 expression.

Publication Title

High REDOX RESPONSIVE TRANSCRIPTION FACTOR1 Levels Result in Accumulation of Reactive Oxygen Species in Arabidopsis thaliana Shoots and Roots.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP165596
chrRNA-seq in wild-type, SmcHD1 MommeD1mut and somKO MEFs
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconNextSeq 550, Illumina HiSeq 2000

Description

In this study we investigate the role of the non-canonical SMC family protein, SmcHD1in the X inactivation. Overall design: Set of allele-specific chromatin RNA-seq experiments on female clonal inter-specific (M.m.domesticus FVB x M.m.Castaneus) MEF cell lines: wild-type MEFs, SmcHD1 MomeD1 mut MEFs (SmcHD1 null) and SmcHD1 CRISPR KO MEFs (derived from wild-type MEFs after establishemnt of X inactivation).

Publication Title

The non-canonical SMC protein SmcHD1 antagonises TAD formation and compartmentalisation on the inactive X chromosome.

Sample Metadata Fields

Subject

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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

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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
...

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

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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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