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.
KRAS and YAP1 converge to regulate EMT and tumor survival.
Cell line
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Common genetic variants modulate pathogen-sensing responses in human dendritic cells.
Sex, Age, Race, Subject
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The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.
No sample metadata fields
View SamplesThe 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
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.
No sample metadata fields
View SamplesThe 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.
The NIH Roadmap Epigenomics Mapping Consortium.
Sex, Specimen part, Disease, Subject
View SamplesA reference collection of genome-wide transcriptional expression data for bioactive small molecules.
The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease.
No sample metadata fields
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Initial genome sequencing and analysis of multiple myeloma.
Specimen part, Disease, Disease stage
View SamplesThe 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.
Initial genome sequencing and analysis of multiple myeloma.
Specimen part
View SamplesWe 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.
A physical and regulatory map of host-influenza interactions reveals pathways in H1N1 infection.
Specimen part, Disease, Time
View SamplesWe 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.
Gene expression-based high-throughput screening(GE-HTS) and application to leukemia differentiation.
No sample metadata fields
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