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accession-icon GSE12061
Chemical genomics study of Snf1 as a gene repressor
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

The Snf1 kinase plays a critical role in recalibrating cellular metabolism in response to glucose depletion. Hundreds of genes show changes in expression levels when the SNF1 gene is deleted. However, cells can adapt to the absence of a specific gene when grown in long term culture. Here we apply a chemical genetic method to rapidly and selectively inactivate a modified Snf1 kinase using a pyrazolopyrimidine inhibitor. By allowing cells to adjust to a change in carbon source prior to inhibition of the Snf1 kinase activity, we identified a set of genes whose expression increased when Snf1 was inhibited. Prominent in this set are genes that are activated by Gcn4, a transcriptional activator of amino acid biosynthetic genes. Deletion of Snf1 increased Gcn4 protein levels without affecting its mRNA levels. The increased Gcn4 protein levels required the Gcn2 kinase and Gcn20, regulators of GCN4 translation. These data indicate that Snf1 functions upstream of Gcn20 to regulate control of GCN4 translation.

Publication Title

A chemical genomics study identifies Snf1 as a repressor of GCN4 translation.

Sample Metadata Fields

No sample metadata fields

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accession-icon DRP003299
Gene expression of granulosa cells and oocytes in sus scrofa
  • organism-icon Sus scrofa
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Gene expression was examined in granulosa cells and oocytes in various stage of follicle and in vitro grown oocytes and granulosa cells complexes in sus scrofa.

Publication Title

Gene expression patterns in granulosa cells and oocytes at various stages of follicle development as well as in in vitro grown oocyte-and-granulosa cell complexes.

Sample Metadata Fields

Specimen part

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accession-icon GSE55285
Expression data from undifferentiated human ES cell line, khES3, grown using complete, methionine, leucine or lysine deprived media and ES cell derived endoderm
  • organism-icon Homo sapiens
  • sample-icon 7 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

Methionine metabolism regulates maintenance and differentiation of human pluripotent stem cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE55283
Expression data from undifferentiated human ES cell line, khES3, grown using complete or methionine deprived media and ES cell derived endoderm
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In undifferentiated human ES cells, 5hr Met deprivation (delta Met) led to decreased proliferation, and prolonged 24hr Met deprivation resulted in G0-G1 phase cell cycle arrest, which then led to apoptosis.

Publication Title

Methionine metabolism regulates maintenance and differentiation of human pluripotent stem cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE55284
Expression data from undifferentiated human ES cell line, khES3 grown using complete, leucine or lysine deprived media
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In undifferentiated human ES cells, 48hr Leucine deprivation (delta Leu) or Lysine deprivation (delta Lys) led to apoptosis.

Publication Title

Methionine metabolism regulates maintenance and differentiation of human pluripotent stem cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE145367
GeneChip Expression Array
  • organism-icon Rattus norvegicus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression analysis to compare control cells and sorted cells

Publication Title

Identification of two major autoantigens negatively regulating endothelial activation in Takayasu arteritis.

Sample Metadata Fields

Specimen part

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accession-icon SRP188416
Transcriptome analysis of cultured human alveolar epithelial type 2 cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIon Torrent S5

Description

We investigated whether in vitro expansion of human alveolar epithelial type II cells is possible. We found that human endogenous human alveolar epithelial type II cells can be cultured and passaged. The culture system enabled retroviral gene transduction into human alveolar epithelial type II cells. We performed RNA sequencing of human alveolar epithelial type II cells transduced with mutant surfactant protein C or control vector. Overall design: Cultured human alveolar epithelial type II cells were transfected with retroviral vector containing mutant surfactant protein C or control retroviral vector. The retroviral vector contained LNGFR as a marker. After gene transduction, transduced cells were purified by magnetic-activated cell sorting. The transcriptome of the cells was generated by 5'Tag-seq using Ion Genestudio S5 Sequencer.

Publication Title

In vitro expansion of endogenous human alveolar epithelial type II cells in fibroblast-free spheroid culture.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP140447
Transcriptome analysis of lung epithelial cells and lung fibroblasts from various developmental stages (E18.5, P0.5, P2, P7, P28, and P56)
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

In the alveoli, lung fibroblasts are in close contact with alveolar epithelial cells type 2, and are considered to support alveolar epithelial cells, forming an alveolar stem cell niche. However, what fibroblast-to-epithelial cell interactions occur during the alveolar maturation stage remains unclear. To understand the lung fibroblast-to-epithelial cell interactions, we performed time-course 3´SAGE-seq analysis of lung epithelial cells and fibroblasts. Overall design: Lung epithelial cells and lung fibroblasts from various developmental stages (E18.5, P0.5, P2, P7, P28, and P56) were purified by cell sorting. The time series transcriptome of the epithelial cells and fibroblasts was generated by 3'SAGE-seq using Ion Proton sequencer.

Publication Title

Mesenchymal-Epithelial Interactome Analysis Reveals Essential Factors Required for Fibroblast-Free Alveolosphere Formation.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE38660
Expression profiling of isolated dendritic arborization (da) neurons of Drosophila
  • organism-icon Drosophila melanogaster
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Paper abstract: The transcription factors Abrupt (Ab) and Knot (Kn) act as selectors of distinct dendritic arbor morphologies in two classes of Drosophila sensory neurons, termed class I and class IV, respectively. We performed binding-site mapping and transcriptional profiling of isolated these neurons. Their profiles were similarly enriched in cell-type-specific enhancers of genes implicated in neural development. We identified a total of 429 target genes, of which 56 were common to Ab and Kn; these targets included genes necessary to shape dendritic arbors in either or both of the two sensory subtypes. Furthermore, a common target gene, encoding the cell adhesion molecule Ten-m, was expressed more strongly in class I than IV, and this differential was critical to the class-selective directional control of dendritic branch sprouting or extension. Our analyses illustrate how differentiating neurons employ distinct and shared repertoires of gene expression to produce class-selective morphological traits.

Publication Title

Sensory-neuron subtype-specific transcriptional programs controlling dendrite morphogenesis: genome-wide analysis of Abrupt and Knot/Collier.

Sample Metadata Fields

Specimen part

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accession-icon GSE71856
Gene expression of human hepatocellular carcinoma cells in response to acyclic retinoid
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To better understand the molecular basis of the anticancer effects of acyclic retinoid (ACR), a genome-wide screening was applied to identify novel targets of ACR in human hepatocellular carcinoma (HCC) cells JHH7. Gene expression profiles of JHH7 were measured at 0h, 1h and 4 hours after treatment with1 M All-trans retinoic acid (AtRA) or 10 M ACR. Hierarchical clustering with Wards method of 44,907 genes demonstrated diverse expression changes in HCC cells treated with ACR for 4h. A total of 973 differentially expressed genes in response to ACR by comparing with AtRA for 4h treatments were identified with a fold change more than 2. Then, network analysis was performed on the altered gene expression profiles using Ingenuity Pathways Analysis (IPA) program. The most highly populated networks were associated with the regulation of cell cycle and DNA replication, as ACR is well known to induce apoptosis and suppress cell proliferation in HCC cells. Moreover, networks related with amino acid metabolism, protein synthesis and lipid metabolism, such as the biological network entitled Lipid Metabolism, Small Molecular Biochemistry, Vitamin and Mineral Metabolism were also observed. Of interest, this network contains genes that play critical roles in controlling the development of tissues and organs such as the nuclear orphan receptor nuclear receptor subfamily 2, group F, member 2 (NR2F2), suggesting potential drug targets to prevent/treat HCC.

Publication Title

Metabolome Analyses Uncovered a Novel Inhibitory Effect of Acyclic Retinoid on Aberrant Lipogenesis in a Mouse Diethylnitrosamine-Induced Hepatic Tumorigenesis Model.

Sample Metadata Fields

Sex, Specimen part

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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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