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accession-icon GSE28475
Genome-wide Expression Assay Comparison Across Frozen and Fixed Postmortem Brain Tissue Samples
  • organism-icon Homo sapiens
  • sample-icon 143 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

Comparison between in vitro transcription- and cDNA-mediated annealing, selection and ligation (DASL)-based assays on brain-specific reference RNA, and postmortem frozen and formalin fixed brain tissue from autistic and control cases. Investigation of data preprocessing techniques for DASL-assayed RNA samples from frozen brain tissue.

Publication Title

Preprocessing and Quality Control Strategies for Illumina DASL Assay-Based Brain Gene Expression Studies with Semi-Degraded Samples.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE35366
Global developmental gene expression and pathway analysis of normal brain development and mouse models of human neuronal migration defects
  • organism-icon Mus musculus
  • sample-icon 78 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Proper cortical development relies on the balance of neuronal migration and proliferation. We investigated the gene expression differences of mouse knock-outs for Lissencephaly in humans.

Publication Title

Global developmental gene expression and pathway analysis of normal brain development and mouse models of human neuronal migration defects.

Sample Metadata Fields

Specimen part

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accession-icon SRP013610
RNA-Seq of eye tissues from A/J, BALB/c, and C57BL/6 background mice
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

We report RNA-Seq experiments of whole eye tissues from A/J, BALB/c, and C57BL/6 background mice. Overall design: Examine ocular tissue from 3 different background mice that display varying rates of retinal degeneration.

Publication Title

Transcriptome analysis reveals rod/cone photoreceptor specific signatures across mammalian retinas.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon SRP080001
RNA-Seq of tissues from Mouse eye and retina samples
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

We report RNA-Seq experiments of eye and retinal tissues from WT and RHO KO mice Overall design: Examine ocular tissue from different mouse genotypes

Publication Title

Transcriptome analysis reveals rod/cone photoreceptor specific signatures across mammalian retinas.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP027541
RNA-Seq of eye tissues from C57BL/6J background mice at 1.5 h and 9.0 h after light onset
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

We report RNA-Seq experiments of whole eye tissues from C57BL/6J background mice at 1.5 h and 9.0 h after light onset to better understand photoreceptor phagocytosis Overall design: Examine ocular tissue from mice at different time points

Publication Title

Transcriptome analysis reveals rod/cone photoreceptor specific signatures across mammalian retinas.

Sample Metadata Fields

Specimen part, Cell line, Subject, Time

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accession-icon SRP017843
Transcriptional profiles of PA1 teratoma cells transfected by RIPK1, RIPK2, RIPK3, or RIPK4
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

RIPK4 but not the related kinases RIPK1, RIPK2, and RIPK3 caused similar transcriptional changes to Wnt3a. Overall design: PA1 cells were transfected by 8ug RIPK1, RIPK2, RIPK3, or RIPK4 for 48h, RNA were extracted and sequenced.

Publication Title

Phosphorylation of Dishevelled by protein kinase RIPK4 regulates Wnt signaling.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP077721
Single cell RNAseq of meningeal cortical cells
  • organism-icon Mus musculus
  • sample-icon 183 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Heterogeneity of meningeal cortical cells was deciphered on the molecular level using single cell RNA seq Overall design: RNA sequencing of 179 meningeal cortical cells isolated from naive wild-type mice

Publication Title

Neurogenic Radial Glia-like Cells in Meninges Migrate and Differentiate into Functionally Integrated Neurons in the Neonatal Cortex.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon GSE56338
TNF-alpha and IL-17 synergize to inhibit IL-13 bioactivity via IL-13Ra2 induction in human lung fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

IL-17 and TNF-alpha synergistically induce surface expression of IL-13Ra2 on primary lung fibroblasts, rendering them unresponsive to IL-13. Neutralizing antibodies to IL-13Ra2 restored IL-13-mediated signaling and transcriptome studies confirmed IL-13Ra2 is an IL-13 decoy receptor.

Publication Title

TNF-α/IL-17 synergy inhibits IL-13 bioactivity via IL-13Rα2 induction.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE26378
Expression data from validation cohort of children with septic shock
  • organism-icon Homo sapiens
  • sample-icon 103 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Septic shock heterogeneity has important implications for the conduct of clinical trials and individual patient management. We previously addressed this heterogeneity by indentifying 3 putative subclasses of children with septic shock based on a 100-gene expression signature corresponding to adaptive immunity and glucocorticoid receptor signaling. Herein we attempted to prospectively validate the existence of these gene expression-based subclasses in a validation cohort. Methods: Gene expression mosaics were generated from the 100 class-defining genes for 82 individual patients in the validation cohort. Patients were classified into 1 of 3 subclasses (A, B, or C) based on color and pattern similarity relative to reference mosaics generated from the original derivation cohort. Separate classifications were conducted by 21 individual clinicians and a computer-based algorithm. After subclassification the clinical database was mined for clinical phenotyping. Results: In the final consensus subclassification generated by clinicians, subclass A patients had a higher illness severity, as measured by illness severity scores and maximal organ failure, relative to subclasses B and C. The k coefficient across all possible inter-evaluator comparisons was 0.633. Similar observations were made based on the computer-generated subclassification. Patients in subclass A were also characterized by repression of a large number of genes having functional annotations related to zinc biology. Conclusions: We have validated the existence of subclasses of children with septic shock based on a biologically relevant, 100-gene expression signature. The subclasses can be indentified by clinicians without formal bioinformatics training, at a clinically relevant time point, and have clinically relevant phenotypic differences.

Publication Title

The influence of developmental age on the early transcriptomic response of children with septic shock.

Sample Metadata Fields

Age, Specimen part, Disease, Disease stage

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accession-icon GSE26594
Increased Cell Surface Fas Expression is Necessary to Sensitize Lung Fibroblasts to Fas Ligation-Induced Apoptosis: Implications for Fibroblast Accumulation in Idiopathic Pulmonary Fibrosis.
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Idiopathic pulmonary fibrosis (IPF) is associated with the accumulation of collagen-secreting fibroblasts and myofibroblasts in the lung parenchyma. Many mechanisms contribute to their accumulation, including resistance to apoptosis. In previous work, we showed that exposure to the pro-inflammatory cytokines, TNF- and IFN- reverses fibroblast resistance to apoptosis. The goal of this study was to investigate the underlying mechanism. Based on an initial interrogation of the transcriptomes of unstimulated and TNF- and IFN--stimulated primary lung fibroblasts and the lung fibroblast cell line, MRC5, we show here that among Fas-signaling pathway molecules, Fas expression was increased ~6-fold in an NF-B and p38mapk-dependent fashion. Prevention of the increase in Fas expression using Fas siRNAs blocked the ability of TNF- and IFN- to sensitize fibroblasts to Fas ligation induced-apoptosis; while enforced adenovirus-mediated Fas overexpression was sufficient to overcome basal resistance to Fas-induced apoptosis. Examination of lung tissues from IPF patients revealed low to absent staining of Fas in fibroblastic cells of fibroblast foci. Collectively, these findings suggest that increased expression of Fas is necessary and sufficient to overcome the resistance of lung fibroblasts to Fas-induced apoptosis. They also suggest that approaches aimed at increasing Fas expression by lung fibroblasts and myofibroblasts may be therapeutically relevant.

Publication Title

Increased cell surface Fas expression is necessary and sufficient to sensitize lung fibroblasts to Fas ligation-induced apoptosis: implications for fibroblast accumulation in idiopathic pulmonary fibrosis.

Sample Metadata Fields

Specimen part, Treatment

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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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