refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 282 results
Sort by

Filters

Technology

Platform

accession-icon GSE40677
Gene expression analysis in mice with heart muscle-specific repression of CELF activity (MHC-CELFdelta)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Members of the CUG-BP, Elav-like family (CELF) regulate alternative splicing in the heart. In MHC-CELFdelta transgenic mice, CELF splicing activity is inhibited postnatally in heart muscle via expression of a nuclear dominant negative CELF protein under an a-myosin heavy chain promoter. MHC-CELFdelta mice develop dilated cardiomyopathy characterized by alternative splicing defects, enlarged hearts, and severe contractile dysfunction. In this study, gene expression profiles in the hearts of wild type, high- and low-expressing lines of MHC-CELFdelta mice were compared using microarrays. Gene ontology and pathway analyses identified contraction and calcium signaling as the most affected processes. Network analysis revealed that the serum response factor (SRF) network is highly affected. Downstream targets of SRF were up-regulated in MHC-CELFdelta mice compared to the wild type, suggesting an increase in SRF activity. Although SRF levels remained unchanged, known inhibitors of SRF activity were down-regulated. These results suggest a role for CELF-mediated alternative splicing in the regulation of contractile gene expression, achieved in part through modulating the activity of SRF, a key cardiac transcription factor.

Publication Title

Gene expression analyses implicate an alternative splicing program in regulating contractile gene expression and serum response factor activity in mice.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE42715
Expression data from open bariatric surgery patients - various adipose samples
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Diabetes and obesity are widespread diseases with signifciant socioeconomic implications. We used three different types of human adipose tissue (epigastric, visceral, and subcutaneous) in order to determine differences in global gene expression between these adipose depots in severely obese patients.

Publication Title

Gene expression profiling in subcutaneous, visceral and epigastric adipose tissues of patients with extreme obesity.

Sample Metadata Fields

Specimen part, Race

View Samples
accession-icon GSE27222
Gene expression data for the budding yeast mutants pol30-8, dot1 and pol30-8 dot1
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

The mutation in the budding yeast gene PCNA, pol30-8, as well as deletion of DOT1 (dot1), encoding the only histone H3 K79 methyltransferase in budding yeast, have been implicated in telomeric silencing. To further analyze these mutants, we used microarrays to study whether either pol30-8, dot1 or the double mutant leads to changes in gene expression levels when compared to isogenic wild-type strains.

Publication Title

A common telomeric gene silencing assay is affected by nucleotide metabolism.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE15269
Genes responsive to the addition of spermidine or spermine to a polyamine-deficient Saccharomyces cerevisiae mutant
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

The naturally occurring polyamines putrescine, spermidine or spermine are ubiquitous in all cells. Although polyamines have prominent regulatory roles in cell division and growth, precise molecular and cellular functions are not well established in vivo. In this work we have performed a microarray experiment in a polyamine mutant (delta-spe3 delta-fms1) strain to investigate the responsiveness of yeast genes to supplementation with spermidine and spermine. Expression analysis identified genes responsive to the addition of either excess spermidine (10-5 M) or spermine (10-5 M) compared to a control culture containing 10-8 M spermidine. 247 genes were up-regulated >2-fold, and 11 genes were up-regulated more than 10-fold after spermidine addition. Functional categorization of the genes showed induction of transport related genes, and genes involved in methionine, arginine, lysine, NAD and biotin biosynthesis. 268 genes were down-regulated more than 2-fold, and 6 genes were down-regulated more than 8-fold after spermidine addition. A majority of the down-regulated genes are involved in nucleic acid metabolism and various stress responses. In contrast, only few genes (18) were significantly responsive to spermine. Thus, results from global gene expression profiling demonstrate a more major role for spermidine in modulating gene expression in yeast than spermine.

Publication Title

Microarray studies on the genes responsive to the addition of spermidine or spermine to a Saccharomyces cerevisiae spermidine synthase mutant.

Sample Metadata Fields

Treatment

View Samples
accession-icon GSE36141
Gene expression data at 24hrs post-siRNA transfection for HCT116 cultures transfected with either DDX5si2008, DDX5si2053, or EBNA1si1666 siRNA's or mock transfected.
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

HCT116 cells were transfected with two different siRNA's targeting either DDX5, an siRNA targeting EBNA1, or no siRNA (mock). The siRNA targeting EBNA1 is used as a negative control since HCT116 cells do not have the EBNA1 gene. RNA was obtained from cultures at 24hrs post-siRNA transfection using the Qiagen RNeasy Minikit (cat. # 74104) with on-column DNase digestion performed as per the manufacturer's protocol. The RNA samples were isolated at 24hrs post-siRNA transfection since this timepoint precedes an impaired G1-to-S phase cell cycle progression phenotype that is evident at 48hrs post-siRNA transfection and so may reveal gene expression changes occuring before this effect on cell cycle. RNA samples were submitted to the Cold Spring Harbor Laboratory Microarray Faciity where cDNA was prepared, labeled, and hybridized to Affymetrix GeneChip Human Gene 1.0 ST microarrays. Data from the arrays were processed using the RMA method with an up-to-data probe set definition (Biostatistics 4:249-264 and Nucleic Acids Research 33(20):e175. Gene set analysis was performed using generally applicable gene set enrichment (BMC Bioinformatics 10:161). The most differentially regulated gene ontology groups were selected with FDR q-value < 0.1.

Publication Title

DDX5 regulates DNA replication and is required for cell proliferation in a subset of breast cancer cells.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE19664
Expression difference between osteoarthritic chondrocytes and mesenchymal stem cells during chondrogenic differentiation
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The recruitment of mesenchymal stem cells in order to reconstruct damaged cartilage of osteoarthritis joints is a challenging tissue engineering task. Vision towards this goal is blurred by a lack of knowledge about the underlying differences between chondrocytes and MSC during the chondrogenic cultivation process. The aim of this study was to shed light on the differences between chondrocytes and MSC occurring during chondral differentiation through tissue engineering.

Publication Title

Expression pattern differences between osteoarthritic chondrocytes and mesenchymal stem cells during chondrogenic differentiation.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE36907
Cellular Origin and Pathophysiology of Chronic Lymphocytic Leukemia
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The cellular origin of chronic lymphocytic leukemia (CLL) is debated. Transcriptome analysis of CLL and normal peripheral blood and splenic B cell subsets displayed highest similarity of CLL to mature CD5+ B cells. We identified a distinct CD5+CD27+ post-germinal center B cell subset, and revealed that immunoglobulin V gene mutated CLL are more similar to mutated CD5+ B cells, whereas unmutated CLL are more related to unmutated CD5+ B cells. Stereotyped immunoglobulin V gene rearrangements were significantly enriched among CD5+ B cells, providing further genetic evidence for a derivation of CLL from CD5+ B cells. Moreover, we identified deregulated expression patterns providing novel insights into the pathophysiology of CLL, including downregulation of EBF1 and KLF family members.

Publication Title

Cellular origin and pathophysiology of chronic lymphocytic leukemia.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE18255
Epithelial-to-Mesenchymal Transition of Murine PTEN-/- Liver Tumor Cells Promotes Tumor Growth and Invasion
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Background: Epithelial-to-Mesenchymal Transition (EMT) is predicted to play a critical role in tumor progression and metastasis in Hepatocellular Carcinoma. Our goal was to elucidate a mechanism of tumor proliferation and metastasis using a novel murine model of EMT.

Publication Title

Epithelial-to-mesenchymal transition of murine liver tumor cells promotes invasion.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE2466
B_Cell_Chronic_Lymphocytic_Leukemia
  • organism-icon Homo sapiens
  • sample-icon 111 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a)

Description

We used high density oligonucleotide arrays to identify molecular correlates of genetically and clinically distinct subgroups of B-cell chronic lymphocytic leukemia (B-CLL). Gene expression profiling was used to profile the five most frequent genomic aberrations, namely deletions affecting chromosome bands 13q14, 11q22-q23, 17p13 and 6q21, and gains of genomic material affecting chromosome band 12q13. A strikingly high degree of correlation between loss or gain of genomic material and the amount of transcripts from the affected regions leads to the hypothesis of gene dosage as a significant pathogenic factor. Furthermore, the influence of the immunoglobulin variable heavy chain (VH) mutation status was determined. A clear distinction in the expression profiles of unmutated and mutated VH samples exists, which can be discovered using unsupervised learning methods. However, when samples were separated by gender, this separation could only be detected in samples from male patients.

Publication Title

Microarray gene expression profiling of B-cell chronic lymphocytic leukemia subgroups defined by genomic aberrations and VH mutation status.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP048535
Transcriptional changes in the aging mouse hippocampus (RNA-seq)
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We sequenced mRNA from three age groups (3months (3M), 24 months (24M) and 29 months (29M)) from the full hippocampus Overall design: There were two independent experiments: 3M vs 24M (n=5 to 6, single-end sequencing) and 3M vs 29M (n=3, paired-end sequencing))

Publication Title

De-regulation of gene expression and alternative splicing affects distinct cellular pathways in the aging hippocampus.

Sample Metadata Fields

No sample metadata fields

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