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accession-icon GSE30999
Expression data from skin biopsy samples from patients with moderate-to-severe psoriasis
  • organism-icon Homo sapiens
  • sample-icon 162 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A gene expression profiling sub-study was conducted in which skin biopsy samples were collected from 85 patients with moderate-to-severe psoriasis who were participating in ACCEPT, an IRB-approved Phase 3, multicenter, randomized trial. This analysis identified 4,175 probe-sets as being significantly modulated in psoriasis lesions (LS) compared with matched biopsies of non-lesional (NL) skin.

Publication Title

Expanding the psoriasis disease profile: interrogation of the skin and serum of patients with moderate-to-severe psoriasis.

Alternate Accession IDs

E-GEOD-30999

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE13488
Peripheral blood leukocyte genomic response one day post traumatic injury may predict early respiratory recovery
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This data was used as an example to illustrate a computational method for assessing statistical significance in microarray experiments

Publication Title

Assessing statistical significance in microarray experiments using the distance between microarrays.

Alternate Accession IDs

E-GEOD-13488

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE19677
Striatum of Huntington's disease model mice
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptional changes in Huntington disease identified using genome-wide expression profiling and cross-platform analysis.

Alternate Accession IDs

E-GEOD-19677

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE9424
Assessing Statistical Significance in Microarray Experiments Using the Distance Between Microarrays
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We propose a method to compare the location and variability of gene ex-pression between two groups of microarrays using a permutation test based on the pairwise distance between microarrays. The microarrays could be samples from distinct clinical or biological populations or microarrays prepared at two different levels of an experimental factor. For these tests the entire microarray or some pre-specifed subset of genes, not the individual gene, is the unit of analysis. We apply this method to compare results from two dfferent protocols for preparing labeled targets for microarray hybridization and their subsequent gene expression analysis.

Publication Title

Assessing statistical significance in microarray experiments using the distance between microarrays.

Alternate Accession IDs

E-GEOD-9424

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE18551
Striatum of Huntington's disease model mice [Affymetrix data]
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Evaluation of transcriptional changes in the striatum may be an effective approach to understanding the natural history of changes in expression contributing to the pathogenesis of Huntington disease (HD). We have performed genome-wide expression profiling of the YAC128 transgenic mouse model of HD at 12 and 24 months of age using two platforms in parallel; Affymetrix and Illumina. We performed gene expression profiling on the same striatal mRNA across both platforms.

Publication Title

Transcriptional changes in Huntington disease identified using genome-wide expression profiling and cross-platform analysis.

Alternate Accession IDs

E-GEOD-18551

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE117239
Cellular and Molecular Changes in Psoriasis Lesions Inducedby Ustekinumab: Distinct Differences in Responders vs. Non responders
  • organism-icon Homo sapiens
  • sample-icon 322 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Ustekinumab provides clinical benefit to psoriasis patients, but precise cellular and molecular changes underlying its therapeutic utility are not yet fully understood. To assess differences between ustekinumab responders vs. non responders in modulating specific inflammatory pathways and provide reference data for exploring molecular effects of next-generation interleukin(IL)-17 and IL-23-antagonists in psoriasis.

Publication Title

Modulation of inflammatory gene transcripts in psoriasis vulgaris: Differences between ustekinumab and etanercept.

Alternate Accession IDs

E-GEOD-117239

Sample Metadata Fields

Specimen part, Treatment, Subject, Time

View Samples
accession-icon GSE106992
Cellular and Molecular Changes in Psoriasis Lesions Induced by Ustekinumab: Distinct Differences in Responders vs. Non-Responders
  • organism-icon Homo sapiens
  • sample-icon 175 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A gene expression profiling sub-study was conducted in which skin biopsy samples (n=192) were collected for RNA extraction and hybridization to microarrays from patients with moderate-to-severe psoriasis who participated in ACCEPT, an IRB-approved Phase 3, multicenter, randomized trial.

Publication Title

Modulation of inflammatory gene transcripts in psoriasis vulgaris: Differences between ustekinumab and etanercept.

Alternate Accession IDs

E-GEOD-106992

Sample Metadata Fields

Specimen part, Treatment, Subject, Time

View Samples
accession-icon E-MEXP-1130
Transcription profiling time series of human epithelial cells during development
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The experiment was designed to generate a time series for epithelial model during development. Each time point had 3 replicates. The data set contained 5 time points over 10 days. They are day0, day3, day5,day7,day10.

Publication Title

Dynamic and physical clustering of gene expression during epidermal barrier formation in differentiating keratinocytes.

Alternate Accession IDs

None

Sample Metadata Fields

Age, Specimen part, Time

View Samples
accession-icon GSE22223
Gene expression in LPS stimulated IkappaB-beta knockout bone marrow derived macrophage (BMDM)
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Inflammation is beneficial when it is part of the innate immune response, but harmful when it occurs in an unregulated, chronic manner. We now report that IkappaB-beta, a member of the classical IkappaB family, serves a dual role of both inhibiting and facilitating the inflammatory response. IkappaB-beta degradation releases NF-kappaB dimers which upregulate proinflammatory target genes such as TNF-alpha. Suprisingly absence of IkappaB-beta results in a dramatic reduction of TNF-alpha in response to LPS even though the activation of NF-kappaB is normal. The inhibition of TNF-alpha mRNA expression can be correlated to the absence of nuclear, hypophosphorylated-IkappaB-beta bound to p65:cRel heterodimers at a specific kappaB site on the TNF-alpha promoter. Therefore IkappaB-beta acts through p65:cRel dimers to maintain prolonged expression of TNF-alpha. As a result, IkappaB-beta knockout mice are resistant to LPS induced septic shock and collagen-induced arthritis, and therefore blocking IkappaB-beta might be a promising new strategy for selectively inhibiting the chronic phase of TNF-alpha producting during the inflammatory response.

Publication Title

IkappaBbeta acts to inhibit and activate gene expression during the inflammatory response.

Alternate Accession IDs

E-GEOD-22223

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP171582
Characterization of the novel spontaneously immortalized rat M端ller cell line SIRMu-1
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

M端ller cells (MCs) play a crucial role in the retina, and cultured MC lines are an important tool with which to study MC function. Transformed MC lines have been widely used; however, the transformation process can also lead to unwanted changes compared to the primary cells from which they were derived. A monoclonal spontaneously immortalized rat M端ller cell line, SIRMu-1, was derived from primary rat MCs and characterized by RNA-sequencing (in addition to immunofluorescence and western blotting) in comparison to primary MCs and the SV40-immortalized MC line, rMC-1. Overall design: RNA-seq was performed on enriched polyA RNA from primary M端ller cells (4 biological replicates of passage numbers 3-4), SIRMu-1 cells (5 biological replicates of passage numbers 6-20, two of which were cultured in the presence of the antibiotic gentamicin and the antifungal amphotericin B to match the culture conditions of the primary MCs), and rMC-1 cells (3 biological replicates of passage numbers 23-26).

Publication Title

RNA sequencing data of cultured primary rat Müller cells, the spontaneously immortalized rat Müller cell line, SIRMu-1, and the SV40-transformed rat Müller cell line, rMC-1.

Alternate Accession IDs

GSE123161

Sample Metadata Fields

Specimen part, Cell line, Subject

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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