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accession-icon GSE55711
Tead2 expression levels control the subcellular distribution of Yap and Taz, zyxin expression and epithelial-mesenchymal transition
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Tead2 expression levels control the subcellular distribution of Yap and Taz, zyxin expression and epithelial-mesenchymal transition.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE55710
Tead2 expression levels control the subcellular distribution of Yap and Taz, zyxin expression and epithelial-mesenchymal transition (expression)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Cellular changes during an epithelial-mesenchymal transition (EMT) largely rely on global changes in gene expression orchestrated by transcription factors.

Publication Title

Tead2 expression levels control the subcellular distribution of Yap and Taz, zyxin expression and epithelial-mesenchymal transition.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE44050
Expression data from Sox4 knockdown cells in the presence and absence of TGF in NMuMG cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Expression profiling after Sox4 knockdown (KD) during epithelial to mesenchymal transition (EMT) in NMuMG reveals a significant number of genes that are transcriptionally deregulated.

Publication Title

Sox4 is a master regulator of epithelial-mesenchymal transition by controlling Ezh2 expression and epigenetic reprogramming.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE61867
Tolerant and rejecting T cell microarray
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

anti-CD4, CD8 and CD40L treated versus control murine CD4+ T cells from micegrafted with hESC derived xenografts.

Publication Title

Tolerance induction to human stem cell transplants with extension to their differentiated progeny.

Sample Metadata Fields

Specimen part

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accession-icon GSE6263
Identification of genes whose expression is modulated by the presence or absence of PTEN
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

In an effort to identify genes whose expression is regulated by activated PI3K signaling, we performed microarray analysis and subsequent qRT-PCR on an isogenic set of PTEN gene-targeted human cancer cells. Numerous p53 effectors were upregulated following PTEN deletion, including p21, GDF15, PIG3, NOXA, and PLK2. Stable depletion of p53 led to reversion of the gene expression program. Western blots revealed that p53 was stabilized in HCT116 PTEN-/- cells via an Akt1-dependent and p14ARF-independent mechanism. Stable depletion of PTEN in untransformed human fibroblasts and epithelial cells also led to upregulation of p53 and senescent-like growth arrest. Simultaneous depletion of p53 rescued this phenotype, enabling PTEN-depleted cells to continue proliferating. Next, we tested whether oncogenic PIK3CA, like inactivated PTEN, could activate p53. Retroviral expression of oncogenic human PIK3CA in MCF10A cells led to activation of p53 and upregulation of p53-regulated genes. Stable depletion of p53 reversed these PIK3CA-induced expression changes and synergized with oncogenic PIK3CA in inducing anchorage-independent growth. Finally, targeted deletion of an endogenous allele of oncogenic but not wild-type PIK3CA in a human cancer cell line led to a reduction in p53 levels and a decrease in the expression of p53-regulated genes. These studies demonstrate that activation of PI3K signaling by mutations in PTEN or PIK3CA can lead to activation of p53-mediated growth suppression in human cells, indicating that p53 can function as a brake on PIP3-induced mitogenesis during human cancer pathogenesis.

Publication Title

Activation of p53-dependent growth suppression in human cells by mutations in PTEN or PIK3CA.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP092181
UMI-based, single cell RNA sequencing of human nasal epithelial cells grown for 33 days at air liquid interface
  • organism-icon Homo sapiens
  • sample-icon 95 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

5' selective RNA-seq of 96 single cells from human nasal epithelial cells. Cells grown for 33 days at an air liquid interface. RNAseq profiling was performed with N4H4 unique molecular identifiers processed on a Fluidigm C1. Sequencing was performed on a Ion Proton (Life Technologies). Overall design: Single cell from human nasal epithelium. 5' selective RNAseq profiling, 96 cells, unique molecular identifiers, custom library preparation.

Publication Title

A cost effective 5΄ selective single cell transcriptome profiling approach with improved UMI design.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP071670
Transcriptome profiling of single HEK293 cells with UMIs sequenced on Ion Torrent Proton (Run 20151215)
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge IconIonTorrentProton

Description

5' selective RNA-seq of 47 Single HEK293 cells RNAseq profiling with N4H4 unique molecular identifiers processed on a Fluidigm C1. Overall design: Single cell HEK293 cell 5' selective RNAseq profiling, 47 cells, unique molecular identifiers, custom library preparation.

Publication Title

A cost effective 5΄ selective single cell transcriptome profiling approach with improved UMI design.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP071669
HEK293 cells 100 cell RNAseq profiling on Ion Proton
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIonTorrentProton

Description

Five libraries from 100 HEK293 cells each were prepared using a Smartseq based custom library preparation approach with unique molecular identifiers. One batch of 2 replicates (A) and one batch of 3 replicates (B) were prepared from different cell cultures. Libraries were sequenced on an Ion Proton Overall design: HEK293 cell (100 cells) 5' selective RNAseq profiling, N4H4 unique molecular identifiers, 2 replicates (A) and 3 replicates (B)

Publication Title

A cost effective 5΄ selective single cell transcriptome profiling approach with improved UMI design.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE94521
Identification of transcriptome signatures and biomarkers specific for potential developmental toxicants inhibiting human neural crest cell migration
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The in vitro test battery of the European research consortium ESNATS (novel stem cell-based test systems) has been used to screen for potential human developmental toxicants. As part of this effort, the migration of neural crest (MINC) assay has been used to evaluate chemical effects on neural crest function. It identified some drug-like compounds in addition to known environmental toxicants. The hits included the HSP90 inhibitor geldanamycin, the chemotherapeutic arsenic trioxide, the flame-retardant PBDE-99, the pesticide triadimefon and the histone deacetylase inhibitors valproic acid and trichostatin A. Transcriptome changes triggered by these substances in human neural crest cells were recorded and analysed here to answer three questions: (1) can toxicants be individually identified based on their transcript profile; (2) how can the toxicity pattern reflected by transcript changes be compacted/ dimensionality-reduced for practical regulatory use; (3) how can a reduced set of biomarkers be selected for large-scale follow up? Transcript profiling allowed clear separation of different toxicants and the identification of toxicant types in a blinded test study. We also developed a diagrammatic system to visualize and compare toxicity patterns of a group of chemicals by giving a quantitative overview of altered superordinate biological processes (e.g. activation of KEGG pathways or overrepresentation of gene ontology terms). The transcript data were mined for potential markers of toxicity, and 39 transcripts were selected to either indicate general developmental toxicity or distinguish compounds with different modes-of-action in read-across. In summary, we found inclusion of transcriptome data to largely increase the information from the MINC phenotypic test.

Publication Title

Identification of transcriptome signatures and biomarkers specific for potential developmental toxicants inhibiting human neural crest cell migration.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE14317
Gene expression profiling of ATL patients
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Abstract: Adult T-cell leukemia/lymphoma (ATL) is an aggressive and fatal disease. We have examined 18 ATL patient samples using Affymetrix HG-U133A2.0 arrays. Using the BRB array program, we identified genes differentially expressed in leukemia cells compared to normal lymphocytes. Several unique genes were identified that were overexpressed in leukemia cells including TNFSF11, RGS13, MAFb, CSPG2, C/EBPalpha and TCF4. 200 of the most highly overexpressed ATL genes were analyzed by the PathwayStudio 4.0 program. ATL leukemia cells were characterized by an increase in genes linked to "central" genes CDC2/cyclin B1, SYK/LYN, PCNA and BIRC5. Because of its potential therapeutic importance, we focused our studies on the regulation and function of BIRC5, whose expression was increased in 13 of 14 leukemia samples. TCF4 reporter assays and transfection of DN-TCF4 demonstrated that TCF4 regulates BIRC5 gene expression. Functionally, transfection of ATL cells wi BIRC5 shRNA decreased BIRC5 exprression and cell viability 80%. Clinical treatment of ATL patients with Zenapax or bortezomib decreased BIRC5 expression and cell viability. These experiments represent the first direct experimental evidence that BIRC5 plays an important role in ATL cell viability and provides important insight into ATL genesis and potential targeted therapies.

Publication Title

Gene expression profiling of ATL patients: compilation of disease-related genes and evidence for TCF4 involvement in BIRC5 gene expression and cell viability.

Sample Metadata Fields

No sample metadata fields

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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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Developed by the Childhood Cancer Data Lab

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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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