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accession-icon GSE9101
Expression data in native lipoprotein-stimulated human THP-1 macrophages
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We previously found that a native lipoprotein mix with a high VLDL+LDL/HDL ratio causes a global de novoDNA methylation in THP-1 macrophages. In the present experiment we assessed the consequences of global lipoprotein-induced de novo DNA methylation on global gene expression in the same cells. Moreover, we sought to use gene expression array data to measure RNA expression levels for candidate factors mediating the epigenetic effects of lipoproteins.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE42498
Deletion of Cebpa from HSCs
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

In this study, we use a conditional mouse model for Cebpa to investigate the significance of C/EBP in HSCs. The frequency of HSCs is unaltered following deletion of C/EBP, however, upon serial transplantations of either full BM or purified HSCs, the stem cells and stem cell activity is lost. This is not due to increased proliferation, but rather caused by a shift from quiescence to apoptosis with a resultant exhaustion of the stem cell pool. We identify direct C/EBP target genes by combining genome-wide C/EBP ChIP-seq analysis in stem and progenitor cells with gene expression data from HSC with and without C/EBP. Furthermore, we explore the impact of C/EBP on active and repressive histone modifications by doing functional genome-wide ChIP-seq analysis of H3K4Me3 and H3K27Me3 in stem and progenitor cells with and without C/EBP.

Publication Title

C/EBPα is required for long-term self-renewal and lineage priming of hematopoietic stem cells and for the maintenance of epigenetic configurations in multipotent progenitors.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE49975
Integrative analysis of histone ChIP-seq and gene expression microarray data using Bayesian mixture models
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Histone modifications are a key epigenetic mechanism to activate or repress the expression of genes. Data sets of matched microarray expression data and histone modification data measured by ChIP-seq exist, but methods for integrative analysis of both data types are still rare. Here, we present a novel bioinformatic approach to detect genes that are differentially expressed between two conditions putatively caused by alterations in histone modification. We introduce a correlation measure for integrative analysis of ChIP-seq and gene expression data and demonstrate that a proper normalization of the ChIP-seq data is crucial. We suggest applying Bayesian mixture models of different distributions to further study the distribution of the correlation measure. The implicit classification of the mixture models is used to detect genes with differences between two conditions in both gene expression and histone modification. The method is applied to different data sets and its superiority to a naive separate analysis of both data types is demonstrated. This GEO series contains the expression data of the Cebpa example data set.

Publication Title

Integrative analysis of histone ChIP-seq and transcription data using Bayesian mixture models.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE55713
TGIF1 is a negative regulator of MLL-rearranged acute myeloid leukemia
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The aim of the study was to investigate the role of TGIF1 in MLL-AF9 transformed cells

Publication Title

TGIF1 is a negative regulator of MLL-rearranged acute myeloid leukemia.

Sample Metadata Fields

Cell line

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accession-icon GSE95125
Lipopolysaccharide (LPS) effect on ficolin deficient spleen
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Analysis of spleens from ficolin knockout and wildtype mice treated without and with LPS to induce inflammation. Ficolins are pattern recognition molecules that initiate the lectin pathway of complement. Results provide insigt into the molecular basis of the inflammatory response of ficolin knockout mice.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon E-MTAB-3066
Transcription profiling by array of human adipose tissue-derived stromal cells with or without VEGF stimulation
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

ASCs cultured in complete medium, ASCs cultured in serum serum-deprived medium, and ASCs stimulated with VEGF in serum-deprived medium were compared. Using microarray analysis, gene expression from the whole genome was compared between conditions. Compared to ASCs in complete medium, expression of 190 and 108 ASC genes were significantly regulated altered by serum deprivation and serum deprivation combined with VEGF, respectively. No significant differences in gene expression patterns between serum-deprived ASCs and serum-deprived ASC combined with VEGF stimulation were found. Genes most prominently and significantly up-regulated by both conditions were growth factors (IGF1, BMP6, PDGFD, FGF9), adhesion molecule CLSTN2, extracellular matrix related proteins like matricellular proteins SMOC2, SPON1 and ADAMTS12, and inhibitors of proliferation (JAG1). The most significantly down-regulated genes included matrix metalloproteinases (MMP3, MMP1), and proliferation markers (CDKN3) and GREM2, - a BMP6 antagonist.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Subject

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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)

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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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