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accession-icon GSE55942
Rescue of KRAS suppression in HCT116 colon cancer cell line
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Cancer cells that express oncogenic alleles of RAS typically require sustained expression of the mutant allele for survival, but the molecular basis of this oncogene dependency remains incompletely understood. To identify genes that can functionally substitute for oncogenic RAS, we systematically expressed 15,294 open reading frames in a human KRAS-dependent colon cancer cell line engineered to express an inducible KRAS-specific shRNA. We found 147 genes that promoted survival in the setting of KRAS suppression. In this model, the transcriptional co-activator YAP1 rescued cell viability in KRAS-dependent cells upon suppression of KRAS and was required for KRAS-induced cell transformation. Acquired resistance to Kras suppression in a Kras-driven murine lung cancer model also involved increased YAP1 signaling. KRAS and YAP1 converge on the transcription factor FOS and activate a transcriptional program involved in regulating the epithelial-mesenchymal transition (EMT). Together, these findings implicate transcriptional regulation of EMT by YAP1 as a significant component of oncogenic RAS signaling.

Publication Title

KRAS and YAP1 converge to regulate EMT and tumor survival.

Sample Metadata Fields

Cell line

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accession-icon GSE57542
Expression data measured by Nanostring and microarray of monocyte-derived dendritic cells from healthy individuals stimulated with LPS, influenza, or IFN-beta, or left unstimulated
  • organism-icon Homo sapiens
  • sample-icon 228 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Common genetic variants modulate pathogen-sensing responses in human dendritic cells.

Sample Metadata Fields

Sex, Age, Race, Subject

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accession-icon GSE36139
SNP and Expression data from the Cancer Cell Line Encyclopedia (CCLE)
  • organism-icon Homo sapiens
  • sample-icon 882 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

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE36133
Expression data from the Cancer Cell Line Encyclopedia (CCLE)
  • organism-icon Homo sapiens
  • sample-icon 882 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The Cancer Cell Line Encyclopedia (CCLE) project is a collaboration between the Broad Institute, the Novartis Institutes for Biomedical Research and the Genomics Novartis Foundation to conduct a detailed genetic and pharmacologic characterization of a large panel of human cancer models

Publication Title

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE17312
BI Human Reference Epigenome Mapping Project
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The NIH Roadmap Epigenomics Mapping Consortium aims to produce a public resource of epigenomic maps for stem cells and primary ex vivo tissues selected to represent the normal counterparts of tissues and organ systems frequently involved in human disease.

Publication Title

The NIH Roadmap Epigenomics Mapping Consortium.

Sample Metadata Fields

Sex, Specimen part, Disease, Subject

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accession-icon GSE5258
Connectivity Map dataset (build01)
  • organism-icon Homo sapiens
  • sample-icon 346 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

A reference collection of genome-wide transcriptional expression data for bioactive small molecules.

Publication Title

The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE26863
MMRC expression and aCGH reference collection
  • organism-icon Homo sapiens
  • sample-icon 299 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

Initial genome sequencing and analysis of multiple myeloma.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE26760
MMRC expression reference collection
  • organism-icon Homo sapiens
  • sample-icon 299 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The MMRC reference collection is a dataset of gene expression profiling, array comparative genomic hybridization, and re-sequencing created as a resource for the Multiple Myeloma research community.

Publication Title

Initial genome sequencing and analysis of multiple myeloma.

Sample Metadata Fields

Specimen part

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accession-icon GSE19392
Dynamic responses of primary human bronchial epithelial cells to influenza virus, viral RNA and interferon-beta
  • organism-icon Homo sapiens
  • sample-icon 169 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

We defined the major transcriptional responses in primary human bronchial epithelial cells (HBECs) after either infection with influenza or treatment with relevant ligands. We used four different strategies, each highlighting distinct aspects of the response. (1) cells were infected with the wild-type PR8 influenza virus that can mount a complete replicative cycle. (2) cells were transfected with viral RNA (vRNA) isolated from influenza particles. This does not result in the production of viral proteins or particles and identifies the effect of RNA-sensing pathways (e.g., RIG-I.). (3) Cells were treated with interferon beta (IFNb), to distinguish the portion of the response which is mediated through Type I IFNs. (4) Cells were infected with a PR8 virus lacking the NS1 gene (DNS1). The NS1 protein normally inhibits vRNA- or IFNb-induced pathways, and its deletion can reveal an expanded response to infection.

Publication Title

A physical and regulatory map of host-influenza interactions reveals pathways in H1N1 infection.

Sample Metadata Fields

Specimen part, Disease, Time

View Samples
accession-icon GSE995
Differentiation of acute myeloid leukemia cells
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), Affymetrix Human Full Length HuGeneFL Array (hu6800)

Description

We developed a general approach to small molecule library screening called GE-HTS (Gene Expression-Based High Throughput Screening) in which a gene expression signature is used as a surrogate for cellular states and applied it to the identification of compounds inducing the differentiation of acute myeloid leukemia cells. In screening 1,739 compounds, we identified 8 that reliably induced the differentiation signature, and furthermore yielded functional evidence of bona fide differentiation.

Publication Title

Gene expression-based high-throughput screening(GE-HTS) and application to leukemia differentiation.

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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