Integration of cancer-related genetic landscape of Eph receptors and ephrins with proteomics identifies a crosstalk between EPHB6 and EGFR
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PROVIDER: PRJNA853195 | ENA |
REPOSITORIES: ENA
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Project description:Eph receptors and their ephrin ligands are viewed as promising targets for cancer treatment, however targeting them is hindered by their context-dependent functionalities. To circumvent this, we explored molecular landscapes underlying their pro- and anti-malignant activities. Using unbiased bioinformatics approaches, we constructed a cancer-related network of genetic interactions (GIs) of all Ephs and ephrins to assist their therapeutic manipulation. We also applied genome-wide genetic screening and BioID proteomics, and integrated them with machine learning approaches to select the most relevant GIs of one of Eph receptors, EPHB6. This revealed a crosstalk between EPHB6 and EGFR, and further experiments confirmed EPHB6 ability to modulate EGFR signaling, enhancing both proliferation of cancer cells and tumor development. Taken together, our observations identify a new mechanism of action of EPHB6, suggesting its targeting might be beneficial in EGFR-dependent tumors, and confirm that Eph family genetic interactome presented here can be effectively exploited in developing new treatment approaches.
2023-05-23 | GSE206981 | GEO
Project description:Aberrant activities of fourteen Eph receptor tyrosine kinases (RTKs) and their eight ephrin ligands are often observed in human malignancies, where they control cancer development, progression, and aggressiveness. While multiple attempts have been made to target Eph receptors in tumors, their effectiveness has been hindered by distinct contexts in which these proteins operate to enhance or suppress the disease. One of the strategies to overcoming this challenge is to define the molecular landscape/genetic interactions (GIs) associated with pro- and anti-malignant activities of Ephs and ephrins, as this should outline context-specific genetic dependencies associated with these molecules. Here, we used a multi-step bioinformatics analysis of the TCGA database and the DepMap gene essentiality data from cancer cell lines to construct a network of GIs of Ephs and ephrins in human malignancies. Validation of the relevance of this network was centered on an unusual Eph receptor EPHB6, which is innately kinase-incompetent, but nevertheless, actively controls aggressiveness and tumor initiation in several cancer types. To select the most relevant GI from the generated network, we performed genome-wide screening and EPHB6 BioID analysis. While, the BioID approach pointed towards EPHB6 interactions with several RTKs, including all kinase-active members of the EGFR/ErbB class, its integration with shRNA screening and computationally predicted GIs, unambiguously pointed towards EGFR as a key EPHB6 partner. Indeed, our further experiments confirmed EPHB6 interactions with all kinase-competent ErbBs, including EGFR, and revealed its ability to modulate EGF-induced EGFR tyrosine phosphorylation and downstream signaling. This ultimately, enhanced proliferation of cancer cells, culminating in efficient tumor development. In agreement, we found high levels of EGFR to positively correlate with higher EPHB6 expression in several tumor types. Taken together, these observations indicate that EPHB6 should serve as an effective target in tumors with high EGFR levels and that co-targeting these receptors might provide therapeutic benefits. More importantly, these experiments provide a strong support for the relevance of our computational strategy and suggest that the generated network describing GIs of Eph receptors and their ligands is a valuable resource that can be used for developing new treatment approaches aiming to hunt these proteins in human malignancies.
2023-05-16 | PXD033912 | Pride
Project description:Ephrin-B2 (EFNB2) is a ligand for six Eph receptors in humans and also functions as a cell entry receptor for several henipaviruses, which are zoonotic viruses with pandemic potential. Two such viruses, Nipah (NiV) and Hendra (HeV), are highly pathogenic in humans yet do not have any widely approved virus-specific therapeutics or vaccines. Soluble Fc-fusions of EFNB2 (sEFNB2-Fc) are known to bind the attachment glycoprotein G of both viruses and inhibit viral infection of cells. However, the potential of sEFNB2-Fc as a neutralizing agent in vivo is hindered by its binding activity to native Eph receptors. Therefore, using deep mutagenesis, variants of EFNB2 at cell surface are identified with increased binding to the soluble head domain of NiV-G over soluble Fc-fusions of the extracellular domains of Eph receptors. Specificity mutations for NiV-G are found primarily at the binding interface, especially around the G-H binding loop. The mutational landscape offers a preliminary blueprint for engineering sEFNB2-Fc variants with high specificity and affinity for potent neutralization of henipaviruses.
2023-06-12 | GSE234213 | GEO
Project description:Ephrin-B2 (EFNB2) is a ligand for six Eph receptors in humans and also functions as a cell entry receptor for several henipaviruses, which are zoonotic viruses with pandemic potential. Two such viruses, Nipah (NiV) and Hendra (HeV), are highly pathogenic in humans yet do not have any widely approved virus-specific therapeutics or vaccines. Soluble Fc-fusions of EFNB2 (sEFNB2-Fc) are known to bind the attachment glycoprotein G of both viruses and inhibit viral infection of cells. However, the potential of sEFNB2-Fc as a neutralizing agent in vivo is hindered by its binding activity to native Eph receptors. Therefore, using deep mutagenesis, variants of EFNB2 at cell surface are identified with increased binding to the soluble head domain of NiV-G over soluble Fc-fusions of the extracellular domains of Eph receptors. Specificity mutations for NiV-G are found primarily at the binding interface, especially around the G-H binding loop. The mutational landscape offers a preliminary blueprint for engineering sEFNB2-Fc variants with high specificity and affinity for potent neutralization of henipaviruses.
2023-06-12 | GSE234214 | GEO
Project description:Eph kinases constitute the largest receptor tyrosine kinase family, and their ligands, ephrins (Efns), are also cell surface molecules. Our purpose is to compare the expression levels of genes in adrenal gland chromaffin cells in EphB6 KO and WT male/female/castrated mice.
2018-09-26 | GSE120400 | GEO
Project description:Transcriptional impact of EGFR-AT1R-crosstalk
| PRJNA682993 | ENA
Project description:Background: Previous studies comparing quantitative proteomics and microarray data have generally found poor correspondence between the two. We hypothesised that this might in part be because the different assays were targeting different parts of the expressed genome and might therefore be subjected to confounding effects from processes such as alternative splicing. Results: Using a genome database as a platform for integration, we combined quantitative protein mass spectrometry with Affymetrix Exon array data at the level of individual exons. We found significantly higher degrees of correlation than have been previously observed (r=0.808). The study was performed using cell lines in equilibrium in order to reduce a major potential source of biological variation, thus allowing the analysis to focus on the data integration methods in order to establish their performance. Conclusion: We conclude that much of the variation observed when integrating microarray and proteomics data may occur as a consequence both of the data analysis and of the high granularity to which studies have until recently been limited. The approach opens up the possibility for the first time of considering combined microarray and proteomics datasets at the level of individual exons and isoforms, important given the high proportion of alternative splicing observed in the human genome.
2009-11-24 | GSE19154 | GEO
Project description:Glioblastoma (GBM) is the most prevalent and aggressive malignant primary brain tumor. GBM proximal to the lateral ventricles (LVs) is more aggressive, potentially due to subventricular zone (SVZ) contact. Despite this, crosstalk between GBM and neural stem/progenitor cells (NSC/NPCs) is not well understood. Using cell-specific proteomics, we show that LV-proximal GBM prevents neuronal maturation of NSCs through induction of senescence. Additionally, GBM brain tumor initiating cells (BTICs) increase expression of CTSB upon interaction with NPCs. Lentiviral knockdown and recombinant protein experiments reveal both cell-intrinsic and soluble CTSB promote malignancy-associated phenotypes in BTICs. Soluble CTSB stalls neuronal maturation in NPCs while promoting senescence, providing a link between LV-tumor proximity and neurogenesis disruption. Finally, we show LV-proximal CTSB upregulation in patients, showing the relevance of this crosstalk in human GBM biology. These results demonstrate the value of proteomic analysis in tumor microenvironment research and provide direction for new therapeutic strategies in GBM.
2024-06-23 | GSE243836 | GEO
Project description:The hypothesis tested in the present study was that activation of Eph or ephrin signaling in neural progenitors induces a transcriptional response which participate in the control of progenitor self-renewal. Results provide important information on transcriptional changes in response to activation of Eph receptors. They also show that activation of ephrin signaling does not induce a transcriptional response at genome-wide level.
2017-09-21 | GSE104068 | GEO
Project description:We studied how crosstalk with AT1-like cells affects transcriptome of disseminated dormant breast cancer cells and the requirement of EphB6 expression in the cancer cells for this genetic program
2021-03-04 | GSE162439 | GEO