refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 67 results
Sort by

Filters

Technology

Platform

accession-icon SRP123610
Gene Expression Changes in the LA/BC muscle of a knock-in mouse model of SBMA
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Examining changes in expression in a mouse model of SBMA compared to WT littermates. Overall design: Mice sacrificed at 14wks of age had LABC isolated and cDNA generated and sequenced on an illumina platform.

Publication Title

Androgen receptor polyglutamine expansion drives age-dependent quality control defects and muscle dysfunction.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE87830
In silico characterization of miRNA and long non-coding RNA interplay in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 256 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE87829
In silico characterization of miRNA and long non-coding RNA interplay in multiple myeloma (95 MM lncRNA data sets)
  • organism-icon Homo sapiens
  • sample-icon 94 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The identification of deregulated microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in multiple myeloma (MM) has progressively added a further level of complexity to MM biology. In addition, the cross-regulation between lncRNAs and miRNAs has begun to emerge, and theoretical and experimental studies have demonstrated the competing endogenous RNAs (ceRNAs) activity of lncRNAs as natural miRNA decoys in pathophysiological conditions, including cancer. Currently, information concerning lncRNA and miRNA interplay in MM is virtually absent. Herein, we investigated in silico the lncRNA and miRNA relationship in a representative datasets encompassing 95 MM and 30 plasma cell leukemia patients at diagnosis and in four normal controls, whose expression profiles were generated by a custom annotation pipeline to detect specific lncRNAs. We applied target prediction analysis based on miRanda and RNA22 algorithms to 235 lncRNAs and 459 miRNAs selected with a potential pivotal role in the pathology of MM. Among pairs that showed significant correlation between lncRNA and miRNA expression levels, we identified 10 lncRNA-miRNA relationships suggestive of novel ceRNA network with relevance in MM.

Publication Title

In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE106745
In silico characterization of miRNA and long non-coding RNA interplay in multiple myeloma (30 PCL lncRNA data sets)
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The identification of deregulated microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in multiple myeloma (MM) has progressively added a further level of complexity to MM biology. In addition, the cross-regulation between lncRNAs and miRNAs has begun to emerge, and theoretical and experimental studies have demonstrated the competing endogenous RNAs (ceRNAs) activity of lncRNAs as natural miRNA decoys in pathophysiological conditions, including cancer. Currently, information concerning lncRNA and miRNA interplay in MM is virtually absent. Herein, we investigated in silico the lncRNA and miRNA relationship in a representative datasets encompassing 95 MM and 30 plasma cell leukemia patients at diagnosis and in four normal controls, whose expression profiles were generated by a custom annotation pipeline to detect specific lncRNAs. We applied target prediction analysis based on miRanda and RNA22 algorithms to 235 lncRNAs and 459 miRNAs selected with a potential pivotal role in the pathology of MM. Among pairs that showed significant correlation between lncRNA and miRNA expression levels, we identified 10 lncRNA-miRNA relationships suggestive of novel ceRNA network with relevance in MM.

Publication Title

In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE10015
Expression data from rat tissues dosed with AMG A or AMG B
  • organism-icon Rattus norvegicus
  • sample-icon 144 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

To evaluate and characterize gene expression changes and toxicity following oral gavage administration of AMG A & AMG B in male Sprague Dawley rats.

Publication Title

Application of genomics for identification of systemic toxicity triggers associated with VEGF-R inhibitors.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE83297
Gene expression profiling reveals novel protective effects of Aminaphtone on ECV304 endothelial cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Aminaphtone, a drug used in the treatment of chronic venous insufficiency (CVI), showed a remarkable role in the modulation of several vasoactive factors, like endothelin-1 and adhesion molecules. We analysed in vitro the effects of Aminaphtone on whole-genome gene expression. ECV304 endothelial cells were stimulated with IL-1 100 U/ml in the presence or absence of Aminaphtone 6 g/ml. Gene expression profiles were compared at 1, 3, and 6 h after stimulation by microarray.

Publication Title

Gene expression profiling reveals novel protective effects of Aminaphtone on ECV304 endothelial cells.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE23016
Alternatively Spliced Variants of Interleukin-4 Promote Inflammation Differentially
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

IL-4d2 is a natural splice variant of IL-4 which lacks the region encoded by the second exon. Numerous recent reports suggested that the expression levels of IL-4d2 change in various diseases, especially those with pulmonary involvement, but the effects of IL-4d2 on the lungs in vivo have never been studied. Replication-deficient adenovirus-mediated gene delivery of mouse IL-4d2 to mouse lungs in vivo was used, and the effects compared with similar adenoviral delivery of mouse IL-4 or with infection with a NULL viral construct.

Publication Title

Alternatively spliced variants of interleukin-4 promote inflammation differentially.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE75062
Discovery and validation of a gene expression profile for human islet integrity and transplant functionality
  • organism-icon Homo sapiens
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

There is growing evidence that transplantation of cadaveric human islets is an effective therapy for type 1 diabetes. However, gauging the suitability of islet samples for clinical use remains a challenge. We hypothesized that islet quality is reflected in the expression of specific genes. Therefore, gene expression in 59 human islet preparations was analyzed and correlated with diabetes reversal after transplantation in diabetic mice. Analysis yielded 262 differentially expressed probesets, which together predict islet quality with 83% accuracy. Pathway analysis revealed that failing islet preparations activated inflammatory pathways, while functional islets showed increased regeneration pathway gene expression. Gene expression associated with apoptosis and oxygen consumption showed little overlap with each other or with the 262 probeset classifier, indicating that the three tests are measuring different aspects of islet cell biology. A subset of 36 probesets surpassed the predictive accuracy of the entire set for reversal of diabetes, and was further reduced by logistic regression to sets of 14 and 5 without losing accuracy. These genes were further validated with an independent cohort of 16 samples. We believe this limited number of gene classifiers in combination with other tests may provide complementary verification of islet quality prior to their clinical use.

Publication Title

Gene expression signature predicts human islet integrity and transplant functionality in diabetic mice.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE33478
Genome-wide DNA methylation and gene expression analyses of monozygotic twin discordant for intelligence levels
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Promoter 1.0R Array (hsprompr), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide DNA methylation and gene expression analyses of monozygotic twins discordant for intelligence levels.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE45652
Gene expression in Mouse thrombomoudlin+ and thrombomodulin- dendritic cell
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Previously we had shown in a mouse model of bronchial asthma that thrombomodulin (TM; CD141; BDCA3) can convert immunogenic conventional dendritic cells into tolerogenic dendritic cells while inducing its own expression on the cell surface. Thrombomodulin+ dendritic cells are tolerogenic while thrombomodulin- dendritic cells are pro-inflammatory and immunogenic. Here we hypothesized that thrombomodulin treatment of dendritic cells would modulate inflammatory gene expression. Murine bone marrow derived dendritic cells were treated with soluble thrombomodulin and expression of surface markers was determined. Treatment with thrombomodulin reduces the expression of maturation markers and increases the expression of TM on the DC surface. Thrombomodulin treated and control dendritic cells were sorted into thrombomodulin+ and thrombomodulin- dendritic cells before their mRNA was analyzed by microarray. mRNAs encoding pro-inflammatory genes and dendritic cells maturation markers were reduced while cell cycle genes were increased in thrombomodulin-treated and thrombomodulin+ dendritic cells compared to control dendritic cells and thrombomodulin- dendritic cells.

Publication Title

Differential gene expression in thrombomodulin (TM; CD141)(+) and TM(-) dendritic cell subsets.

Sample Metadata Fields

Specimen part

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.

BSD 3-Clause LicensePrivacyTerms of UseContact