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accession-icon GSE21327
Effect of Growth hormone on podocytes
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptome analysis of growth hormone dependant genes in glomerular podocytes

Publication Title

Growth hormone (GH)-dependent expression of a natural antisense transcript induces zinc finger E-box-binding homeobox 2 (ZEB2) in the glomerular podocyte: a novel action of gh with implications for the pathogenesis of diabetic nephropathy.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE66782
Genome-wide analysis of LPS or PBS challenged DUSP3-KO and WT female mice peritoneal macrophages gene expression
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Analysis of gene expression profile in peritoneal macrophage extracted from LPS or PBS challenged DUSP3-/- and WT mice. DUSP3 deletion protects mice from sepsis and endotoxemia. We performed a microarray analysis to get insights into the differentially regulated pathways between WT and KO under inflammatory conditions.

Publication Title

DUSP3 Genetic Deletion Confers M2-like Macrophage-Dependent Tolerance to Septic Shock.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE49814
Genome-wide cheater screen reveals safeguards for cell cooperation during embryogenesis
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Ensuring cooperation among formerly autonomous cells has been a central challenge in the evolution of multicellular organisms. One solution is monoclonality, but this option does not eliminate genetic and epigenetic variability, leaving room for exploitative behavior. We therefore hypothesized that embryonic development must be protected by robust regulatory mechanisms that prevent aberrant clones from superseding wild-type cells. Using a genome-wide screen in murine induced pluripotent stem cells, we identified a network of genes (centered on p53, topoisomerase 1, and olfactory receptors) whose downregulation caused the cells to replace wild-type cells, both in vitro and in the mouse embryowithout perturbing normal development. These genes thus appear to fulfill an unexpected role in fostering cell cooperation.

Publication Title

Safeguards for cell cooperation in mouse embryogenesis shown by genome-wide cheater screen.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE33710
Transcriptomic datat of senescence WI-38 cell
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Senescence in WI-38 cell context was induce by RASv12 over expression Cellular senescence is a permanent cell cycle arrest that is triggered by cancer- initiating or promoting events in mammalian cells and is now considered a major tumour suppressor mechanism. Here, we did a transcriptomic analysis and compared WI-38 contol wich is a human fibroblaste cell line and WI-38 that overexpressed RASv12 a G protein that induce senescence. The goal of our project is to compare transciptomic profile of human growing fibroblast (WI-38 control) and senescent human fibroblast (WI-38 OERAS)

Publication Title

Senescence is an endogenous trigger for microRNA-directed transcriptional gene silencing in human cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP009864
High-throughput sequencing of AGO-immunoprecipitating miRs in human senescent fibroblast WI-38
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon

Description

In humans, there are four Ago proteins (Ago1–4) and AGO1- and 2 were previously implicated in TGS induced by exogenous siRNAs and microRNAs (miRs) directed against gene promoter transcripts via promotion of changes in histone covalent modifications and DNA methylation. Not-with-standing, many mechanistic details of this process remain poorly defined in human cells, and very little is known about the identity of possible endogenous signals, which may drive this process in human cells. Given the evolutionary conserved role of siRNAs and AGO proteins in TGS and heterochromatin formation, we set out to analyse their possible involvement in senesence-associated repression of E2F target genes. To obtain a detailed picture of AGO-immunoprecipitating miRs (RIP) in senescent cells, we used next-generation sequencing (NGS)(RIP-Seq). We also included histone H3 dimethylated on lysine 9 (H3K9me2) in this analysis to assign potential AGO2-interacting miRs to a repressive chromatin state and unfractionated, cellular RNA from senescent cells for normalisation. Overall design: Determination of AGO AGO-immunoprecipitating miRs in WI-38 senescent human fibroblast

Publication Title

Senescence is an endogenous trigger for microRNA-directed transcriptional gene silencing in human cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE15477
Data integration from two microarray platforms identifies genetic inactivation of RIC8A in a breast cancer cell line
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Using array comparative genomic hybridization (aCGH), a large number of deleted genomic regions have been identified in human cancers. However, subsequent efforts to identify target genes selected for inactivation in these regions have often been challenging. We integrated here genome-wide copy number data with gene expression data and non-sense mediated mRNA decay rates in breast cancer cell lines to prioritize gene candidates that are likely to be tumour suppressor genes inactivated by bi-allelic genetic events. The candidates were sequenced to identify potential mutations. This integrated genomic approach led to the identification of RIC8A at 11p15 as a putative candidate target gene for the genomic deletion in the ZR-75-1 breast cancer cell line. We identified a truncating mutation in this cell line, leading to loss of expression and rapid decay of the transcript. We screened 127 breast cancers for RIC8A mutations, but did not find any pathogenic mutations. No promoter hypermethylation in these tumours was detected either. However, analysis of gene expression data from breast tumours identified a small group of aggressive tumours that displayed low levels of RIC8A transcripts. Real-time PCR analysis of 38 breast tumours showed a strong association between low RIC8A expression and the presence of TP53 mutations (P=0.006). We demonstrate a data integration strategy leading to the identification of RIC8A as a gene undergoing a classical double-hit genetic inactivation in a breast cancer cell line, as well as in vivo evidence of loss of RIC8A expression in a subgroup of aggressive TP53 mutant breast cancers.

Publication Title

Data integration from two microarray platforms identifies bi-allelic genetic inactivation of RIC8A in a breast cancer cell line.

Sample Metadata Fields

Sex, Disease, Cell line, Treatment, Time

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accession-icon GSE2742
Genomic Strategies Identify the Antitumor Agent Apratoxin A as a Potent Antagonist of FGF Signaling and STAT3 Activation
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Total RNA was extracted from apratoxin A or vehicle treated HT29 cells using the RNeasy Mini Kit (Qiagen). Probe values from CEL files were condensed to probe sets using Rosetta Resolver software. Resolver ANOVA analysis was then performed between groups.

Publication Title

A functional genomics approach to the mode of action of apratoxin A.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE34948
Expression data from three endothelial cell lines derived from murine embryonic stem cells expressing VE-cadherin, N-cadherin or both
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Endothelial cells (ECs) express two members of the cadherin family, VE- and N-cadherin. While VE-cadherin induces EC homotypic adhesion, N-cadherin function in ECs remains largely unknown. EC-specific inactivation of either VE- or N-cadherin leads to early foetal lethality suggesting that these cadherins play a non-redundant role in vascular development.

Publication Title

Overlapping and divergent signaling pathways of N-cadherin and VE-cadherin in endothelial cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP165272
Quantifying post-transcriptional regulation in the development of Drosophila melanogaster [devel]
  • organism-icon Drosophila melanogaster
  • sample-icon 50 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Proteome and transcriptome often show poor correlation, hindering the system-wide analysis of post-transcriptional regulation. Here, the authors study proteome and transcriptome dynamics during Drosophila embryogenesis and present basic mathematical models describing the temporal regulation of most protein-RNA pairs. Overall design: Whole embryos of Drosophila melanogaster measured at 14 time points during the first 20h of development (0h, 1h, 2h, 3h, 4h, 5h, 6h, 8h, 10h, 12h, 14h, 16h, 18h, 20h). Each sample was measured in biological quadruplicates. RNAseq samples correspond to proteome measurements deposited in ProteomeXchange as PXD005713.

Publication Title

Quantifying post-transcriptional regulation in the development of Drosophila melanogaster.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE11674
Genes up-regulated by VE-cadherin expression and clustering at junctions
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

In order to identify genes regulated by VE-cadherin expression, we compared a mouse VE-cadherin null cell line (VEC null) with the same line reconstituted with VE-cadherin wild type cDNA (VEC positive). The morphological and functional properties of these cell lines were described previously [Lampugnani,M.G. et al. Contact inhibition of VEGF-induced proliferation requires vascular endothelial cadherin, beta-catenin, and the phosphatase DEP-1/CD148. J. Cell Biol. 161, 793-804 (2003)]. By Affymetrix gene expression analysis we found several genes up-regulated by VE-cadherin, among which claudin-5 reached remarkably high levels. The up-regulation of these genes required not only VE-cadherin expression but also cell confluence suggesting that VE-cadherin clustering at junctions was needed.

Publication Title

Endothelial adherens junctions control tight junctions by VE-cadherin-mediated upregulation of claudin-5.

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)

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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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