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accession-icon GSE11203
Nodal points and complexity of Notch-Ras signal integration
  • organism-icon Drosophila melanogaster
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

Metazoans utilize a handful of highly conserved signaling pathways to create a signaling backbone that governs all stages of development, by providing spatial and temporal cues that influence gene expression. How these few signals have such a versatile developmental action is of significance to evolution, development, and disease. Their versatility likely depends upon the larger-scale network they form through integration. Such integration is exemplified by cross-talk between the Notch and the Receptor Tyrosine Kinase (RTK) pathways. We examined the transcriptional output of Notch-RTK cross-talk during Drosophila development and present in vivo data that supports a role for selected mutually-regulated genes as potentially important nodal points for signal integration. We find the complex interplay between these pathways involves their mutual regulation of numerous core components of RTK signaling in addition to targets that include components of all the major signalling pathways (TGF-, Hh, Jak/Stat, Nuclear Receptor and Wnt). Interestingly, Notch-RTK integration did not lead to general antagonism of either pathway, as is commonly believed. Instead, integration had a combinatorial effect on specific cross-regulated targets, which unexpectedly included the majority of Ras-responsive genes, suggesting Notch can specify the response to Ras activation.

Publication Title

Nodal points and complexity of Notch-Ras signal integration.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE134618
Expression data during differentiation from mouse embryonic stem cells with or without PKA activation
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The rate of cell differentiation is tightly controlled and critical for normal development and stem cell differentiation. However, so far it has been difficult to control the rate of ESCs differentiation. Here we report the acceleration of the differentiation rate due to the activation of protein kinase A (PKA) and the associated early loss of embryonic stem cells (ESCs) pluripotency markers and the early appearance of mesodermal and other germ layer cell markers.

Publication Title

Protein kinase A accelerates the rate of early stage differentiation of pluripotent stem cells.

Sample Metadata Fields

Time

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accession-icon GSE54584
Altered Gene Expression Profile in Ovarian Follicle in Rats Treated with Indomethacin and RU486
  • organism-icon Rattus norvegicus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

It is well-known that indomethacin (the cyclooxygenase 1 & 2 inhibitor) and RU486 (or mifepristone, the progesterone receptor antagonist) block follicular rupture in rats. To characterize genetic alterations in unruptured follicles, gene expression profiles in ovarian follicle were analyzed in indomethacin- and RU486-treated female Sprague-Dawley rats. Ovaries are collected at 22:00 on the proestrus day and 10:00 on the following estrus day after a single dose of indomethacin and RU486. Histopathologically, changes depicting responses to LH surge were observed in ovaries, uteri and vagina. Total RNA was extracted from pre-ovulatory follicles or unruptured follicles collected by laser microdissection and analyzed by GeneChip. Among genes showing statistically significant changes compared to control groups, following changes were considered relevant to induction of unruptured follicles. In indomethacin-treated rats, Wnt4 was down-regulated, suggesting effect on tissue integrity and steroid genesis. In RU486-treated rats, Adamts1, Adamts9, Edn2, Ednra, Lyve1, Plat, and Pparg were down-regulated. These changes suggest effects on proteolysis for extracellular matrix or surrounding tissue (Adamts1 & 9, and Plat), constriction of smooth muscle surrounding follicles (Edn2, Ednra, and Pparg), follicular fluid (Lyve1), and angiogenesis (Pparg). Down-regulation of angiogenesis related genes (Angpt2, Hmox1, and Vegfa) was observed in both treatment groups. Here, we clarify genetic alterations induced by the inhibition of cyclooxygenase or progesterone receptor.

Publication Title

Altered gene expression profile in ovarian follicle in rats treated with indomethacin and RU486.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE58026
Expression analysis of single and double knockdown of UBE4B and LSD1 in HEK293T cells.
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Ubiquitin Ligase (UBE4B) and Lysine-Specific Demethylase (LSD1) are post-translational modifying enzymes affecting lysine ubiquitination and methylation of several important regulatory proteins, and are synergisticaly important for protein quality control. To inwestigate their role in cell signaling, we analyzed global mRNA levels in HEK293T cells that were knocked down with shRNAs against UBE4B, LSD1, both UBE4B and LSD1, and non-targeting control (CTRL).

Publication Title

Regulation of protein quality control by UBE4B and LSD1 through p53-mediated transcription.

Sample Metadata Fields

Cell line, Time

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accession-icon GSE99561
Liver samples of DO mice
  • organism-icon Mus musculus, Unidentified
  • sample-icon 267 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Systems genetics identifies a co-regulated module of liver microRNAs associated with plasma LDL cholesterol in murine diet-induced dyslipidemia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE99558
Microarray measuring gene expression in livers of DO mice
  • organism-icon Mus musculus, Unidentified
  • sample-icon 267 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st), Illumina HiSeq 2000

Description

Genetic variation, in addition to environmental influences like diet, can govern the expression levels of microRNAs (miRNAs). MiRNAs are commonly found to operate cooperatively in groups to regulate gene expression. To investigate this, we combined small RNA sequencing, clinical phenotypes, and microarray data measuring gene expression from an outbred mouse model, the Diversity Outbred population. In the DO population, each individual has a distinct genome that is a mosaic of 8 inbred founder strains. We used these data to identify co-regulated modules of miRNAs and genes that are influenced by genetics and diet, and identify relationships between the modules and phenotypes in over 200 DO mice.

Publication Title

Systems genetics identifies a co-regulated module of liver microRNAs associated with plasma LDL cholesterol in murine diet-induced dyslipidemia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE109696
ERG and FLI1 in endothelial cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Downregulation of ERG and FLI1 expression in endothelial cells triggers endothelial-to-mesenchymal transition.

Sample Metadata Fields

Specimen part

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accession-icon GSE27661
SMAD1/5 binding regions and expression data of human umbilical vein endothelial cells (HUVECs) and pulmonary arterial smooth muscle cells (PASMCs) treated with BMPs
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

ChIP-seq reveals cell type-specific binding patterns of BMP-specific Smads and a novel binding motif.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE109662
Expression data in HUVECs treated with siERG, siFLI1, or both
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Endothelial-to-mesenchymal transition (EndMT) in which endothelial cells lose their characteristics and acquire mesenchymal property has recently been recognized as a driver of disease progression in wide range of pathologies. However, the regulatory mechanism of EndMT has not been fully understood. Here, we found that combined knockdown of two ETS family transcription factors, ERG and FLI1, induced EndMT. Hence, we analyzed functions of ERG and FLI1 using gene expression microarray and ChIP-seq to elucidate the regulatory mechanism of EndMT.

Publication Title

Downregulation of ERG and FLI1 expression in endothelial cells triggers endothelial-to-mesenchymal transition.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE27631
Expression data of human umbilical vein endothelial cells (HUVECs) treated with BMP-6 and BMP-9
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Smad1/5 are transcription factors that engage in BMP-induced transcription. We determined and analyzed Smad1/5 binding sites by ChIP-sequencing.

Publication Title

ChIP-seq reveals cell type-specific binding patterns of BMP-specific Smads and a novel binding motif.

Sample Metadata Fields

Specimen part, Treatment

View Samples
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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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