Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Met mutations in MEFs

ABSTRACT: Tyrosine kinase-activating mutations in Met have been observed in hereditary papillary renal carcinomas as well as in other cancers. These mutations have been examined in several in vitro systems, where they cause constitutive Met activation, focus formation, and cell motility, and are tumorigenic in xenografts. To determine the influence of these mutations on tumorigenesis in vivo, we generated mice with targeted mutations in the murine met locus. Five mouse lines with mutant Met were created: wt, D1226N, Y1228C, M1248T, and M1248T/L1193V. These mouse lines develop a wide range of sarcomas, lymphomas, and carcinomas. To determine if mutationally activated forms of Met have altered signaling specificity we utilized gene expression analysis. Mouse embryonic fibroblasts (MEFs) were isolated from the mutant Met lines and here we present data for wild type and M1248T (M833). Our results indicate that Met activating mutations have unique gene expression signatures. Keywords: mutant analysis

ORGANISM(S): Mus musculus

PROVIDER: GSE11319 | GEO | 2011/11/20

SECONDARY ACCESSION(S): PRJNA106633

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Met mutations in MEFs

Project description:Tyrosine kinase-activating mutations in Met have been observed in hereditary papillary renal carcinomas as well as in other cancers. These mutations have been examined in several in vitro systems, where they cause constitutive Met activation, focus formation, and cell motility, and are tumorigenic in xenografts. To determine the influence of these mutations on tumorigenesis in vivo, we generated mice with targeted mutations in the murine met locus. Five mouse lines with mutant Met were created: wt, D1226N, Y1228C, M1248T, and M1248T/L1193V. These mouse lines develop a wide range of sarcomas, lymphomas, and carcinomas. To determine if mutationally activated forms of Met have altered signaling specificity we utilized gene expression analysis. Mouse embryonic fibroblasts (MEFs) were isolated from the mutant Met lines and here we present data for wild type and M1248T (M833). Our results indicate that Met activating mutations have unique gene expression signatures. Keywords: mutant analysis Color swapped replicates with common reference

2011-11-20 | E-GEOD-11319 | biostudies-arrayexpress

Spitz tumors and melanomas with MET fusion

Project description:Oncogenic gene fusions have been identified in many cancers and many serve as biomarkers or targets for therapy. Here we identify six different melanocytic tumors with genomic rearrangements of MET fusing the kinase domain of MET in-frame to six different N-terminal partners. These tumors lack activating mutations in other established melanoma oncogenes. We functionally characterize two of the identified fusion proteins (TRIM4-MET and ZKSCAN1-MET) and find that they constitutively activate the mitogen-activated protein kinase (MAPK), phosphoinositol-3 kinase (PI3K), and phospholipase C gamma 1 (PLCγ1) pathways. The MET inhibitors cabozantinib (FDA-approved for progressive medullary thyroid cancer) and PF-04217903 block their activity at nanomolar concentrations. MET fusion kinases thus provide a potential therapeutic target for a rare subset of melanoma for which currently no targeted therapeutic options currently exist.

2015-12-01 | GSE67841 | GEO

The Influence of Met Receptor Level on HGF-Induced Glycolytic Reprogramming in Head and Neck Squamous Cell Carcinoma

Project description:Head and neck squamous cell carcinomas (HNSCC) are known to overexpress a variety of receptor tyrosine kinases, such as the HGF receptor Met. Like other malignancies, there is a mutual interaction between the tumor cells and surrounding tissues and cells. We hypothesized that activation of HGF/Met signaling in HNSCC might influence glucose metabolism and therefore substantially changes the tumor microenvironment. To determine the effect of HGF, we used three established HNSCC cell lines and flow cytometry, western blot and RNA sequencing. Dynamic changes in glucose metabolism were measured real-time by an Extracellular flux analyzer. As expected, the cell lines exhibited different levels of Met and responded differently to HGF stimulation. As confirmed by RNA sequencing, the level of Met expression is associated with the number of upregulated HGF-dependent genes. Overall, Met stimulation by HGF leads to increased glycolysis, presumably mediated by higher expression of three key enzymes of glycolysis. These effects appear to be stronger in Methigh expressing HNSCC cells. Collectively our data supports the hypothesized role of HGF/Met signaling in metabolic reprogramming of HNSCC.

2020-01-17 | GSE135552 | GEO

Response of MET mutant or WT cells to HGF and/or Cabozantinib treatment

Project description:Targeted therapies for MET exon 14-skipping (METΔex14)-driven lung cancers have generated some promising results but response rates remain below that seen for other kinase-driven cancers. One strategy for improving treatment outcomes is to employ rational combination therapies to enhance the suppression of tumour growth and delay or prevent the emergence of resistance. To this end, we profiled the transcriptomes of MET-addicted lung tumours and cell lines and identified the RAS-mitogen-activated protein kinase (MAPK) pathway as a critical effector required for METΔex14-dependent growth. Ectopic expression MET in an isogenic cell line model showed that overexpression of the mutant METΔex14 receptor led to higher levels of MAPK phosphorylation and nuclear import, resulting in increased expression and phosphorylation of nuclear MAPK targets. In comparison, other known MET effectors were unaffected. Inhibition of this pathway by KRAS knockdown in MET-addicted cells in vitro led to decreased viability in only the METΔex14-expressing cells. Conversely, decoupling RAS-MAPK axis, but not other effector pathways, from MET activity via the introduction of constitutively active mutants conferred resistance to MET inhibitors in vitro. Our results suggest that aberrant hyperactivity of the MET receptor caused by the exon 14-skipping mutation does not uniformly upregulate all known downstream effectors, rather gaining a predilection for aberrantly activating and subsequently relying on the RAS-MAPK pathway. These findings provide a rationale for the co-targeting of the RAS-MAPK pathway alongside MET to prolong therapeutic response and circumvent resistance to improve patient survival.

2022-03-08 | GSE198094 | GEO

Tyrosine phosphorylation of IQGAP1 in the MET pathway

Project description:Mass spectrometry was used to determine IQGAP1 is a substrate of MET and c-Src, and is phosphorylated exclusively on Tyr-1510 under conditions with enhanced MET or c-Src cellular activity.

| MSV000086089 | MassIVE

MET∆14 promotes a ligand-dependent, AKT-driven invasive growth

Project description:MET is an oncogene encoding the tyrosine kinase receptor for hepatocyte growth factor (HGF). Upon ligand binding, MET activates multiple signal transducers, including PI3K/AKT (survival/migration), STAT3 (differentiation), and MAPK (proliferation). When mutated or amplified, MET becomes a "driver" for the onset and progression of cancer. The most frequent mutations in the MET gene affect the splicing sites of exon 14, leading to its "skipping" from mRNA and consequent deletion of the receptor's juxtamembrane domain (MET∆14). It is currently believed that, as in gene amplification, MET∆14 kinase is constitutively active. Analysis of MET in carcinoma cell lines showed that MET∆14 strictly depends on HGF for kinase activation. Compared to WT MET, ∆14 is sensitive to lower HGF concentrations, with more sustained kinase response, ultimately leading to a robust phosphorylation of AKT, without affecting MAPK or STAT3. This altered kinase response leads to a distinctive transcriptomic signature. Functional studies revealed that ∆14 activation is predominantly responsible for enhanced protection from apoptosis and cellular migration. Thus, the unique HGF-dependent ∆14 oncogenic activity suggests consideration of HGF in the tumour microenvironment to select patients for clinical trials.

2022-05-27 | GSE194382 | GEO

Co-dependency for MET and FGFR1 in basal triple negative breast cancers

Project description:Triple-negative breast cancer (TNBC) is a heterogeneous disease that lacks both effective patient stratification strategies and therapeutic targets. In the present study, we assay tumour-initiating cells (TICs) properties, using established Met-dependent transgenic mouse models of TNBC, breast cancer cell lines and, patient-derived xenografts, to directly investigate the role of Met in tumour initiation and identify FGFR1 signaling as a key convergent pathway with Met for the maintenance of TICs. To understand the events that occur in TICs upon inhibition of Met and FGFR1, we performed gene expression profiling by RNA-Sequencing of RNA prepared from tumoursphere from 3 independent MMTV-Metmt;Trp53fl/+;Cre derived spindloid tumour cell lines (A1005, A1129, A1471) following treatment with Met or FGFR inhibitor alone (Crizotinib or PD173074, respectively), or in combination for 24h.

2020-11-28 | GSE162272 | GEO

Met Knockdown: Anopheles gambiae, Tiassale

Project description:Transcription factor Met knockdown by dsRNA injection and compared to dsRNA-GFP injected control. Met was knocked down to determine whether it plays a role in response to traditional public health insecticides in addition to juvenile hormone homologs.

2018-09-30 | E-MTAB-4043 | biostudies-arrayexpress

Expression data of Met-low and Met-high B16-F10 malignant melanoma cells

Project description:B16-F10 malignant mouse melanoma cells have been frequently used as highly metastatic cells. Based on heterogenous cell surface expression of Met/HGF (hepatocyte growth factor) receptor in B16-F10 cells, the cells were divided into Met-low and Met-high cells by flow cytometry and these populations were subjected to microarray analysis. Met-low and Met-high cells showed different expression profiles in genes involved characteristics of tumors, including stem cell maintenance, pigmentation, and angiogenesis.

2016-09-25 | GSE69741 | GEO

A molecular signature for MET-targeted therapy

Project description:Constitutive MET signaling promotes invasiveness in primary and recurrent GBM; however, current MET-targeting strategies lack of effective biomarkers for selecting suitable patients for treatment. Here, we identified a predictive signature potentially valuable for indicating vulnerability to MET-targeted therapy in GBM. The use of both human and mouse gene expression microarrays showed that MET inhibitors regulate tumor (human) and host (mouse) cells within the tumor via distinct molecular processes, but overall they impede tumor growth by inhibiting cell cycle progression. Notably, GBM tumors with EGFRamp that showed resistance to erlotinib treatment also showed activation of the MET pathway, suggesting that a combination of EGFR and MET inhibitors may overcome or prevent such resistance in patients with EGFRamp GBM. GBM cell lines (DBM2, U251M2, U87M2, U118, and SF295) were treated for 7 days with either vehicle (n=14) or V-4084 (n=14) (i.e. SF295 + vehicle (n=2), SF295 + V-4084 (n=2), U118 + vehicle (n=3), U118 + V-4084 (n=3), U87M2 + vehicle (n=3), U87M2 + V-4084 (n=3), DBM2 + vehicle (n=3), DBM2 + V-4084 (n=3), U251M2 + vehicle (n=3), U251M2 + V-4084 (n=3)). GBM cell lines (DBM2, U251M2, U87M2, U118, and SF295) were subcutaneously inoculated into the flank region of nude mice to initiate tumor growth. Subsequently mice were treated for 7 days with either vehicle (n=14) or V-4084 (n=14) (i.e. SF295 + vehicle (n=2), SF295 + V-4084 (n=3), U118 + vehicle (n=3), U118 + V-4084 (n=3), U87M2 + vehicle (n=3), U87M2 + V-4084 (n=3), DBM2 + vehicle (n=3), DBM2 + V-4084 (n=3), U251M2 + vehicle (n=3), U251M2 + V-4084 (n=2)).

2016-01-05 | E-GEOD-64667 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data