Ana I Osornio-Hernández, François J M Chartier, Tim L Schuehle, Sara L Banerjee, Sabine Elowe, Patrick Laprise, Andrew Freywald, Mélanie Laurin, Nicolas Bisson
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引用次数: 0
摘要
ephrin - b (EFNB1-3)是人类受体酪氨酸激酶(rtk)最大亚家族成员EPH受体的配体。有趣的是,ephrin- b是一种跨膜蛋白,在EPH结合时也可能作为受体,激活对多种细胞过程至关重要的所谓的反向信号通路。尽管已经发现了许多ephrin-B信号传导效应物,但ephrin-B驱动细胞过程的分子机制仍未得到解决,这表明多种信号传导效应物尚未被发现。在这里,我们使用接近标记蛋白质组学来描绘EFNB1在稳态和主动反向信号条件下的接近网络。这使我们能够确定90个未表征的EFNB1邻近伴侣,从中我们可以区分出三大类:EPH受体刺激依赖型,刺激非依赖型和EPH受体刺激负调节型。我们进一步研究了EFNB1与已确定的候选之一表皮生长因子受体(EGFR)之间的功能关系。我们发现EFNB1和EGFR在细胞中结合,并表明该复合物的形成依赖于EFNB1的pdz结合基序(PBM)。引人注目的是,我们证明了EGFR直接磷酸化EFNB1的PBM中的酪氨酸残基,这导致EFNB1-EGFR复合物的破坏。此外,我们发现EFNB1-EGFR关联是efnb1依赖性细胞粘附到纤维连接蛋白所必需的。综上所述,我们的研究结果揭示了EFNB1和EGFR之间的功能关系。
EGFR phosphorylates and associates with EFNB1 to regulate cell adhesion to fibronectin.
Ephrin-Bs (EFNB1-3) are ligands for members of the largest subfamily of receptor tyrosine kinases (RTKs) in humans, the EPH receptors. Interestingly, ephrin-Bs are transmembrane proteins that may also act as receptors themselves upon EPH binding, activating so-called reverse signaling pathways that are critical for multiple cellular processes. Although a number of ephrin-B signaling effectors have been identified, the molecular mechanisms underlying ephrin-B-driven cellular processes remain unresolved, suggesting that multiple signaling effectors are yet to be discovered. Here, we employed proximity labeling proteomics to delineate the proximity network of EFNB1 in steady state and under active reverse signaling conditions. This allowed us to identify 90 uncharacterized EFNB1 proximity partners, from which we could distinguish three main groups: EPH receptor stimulation-dependent, stimulation-independent and negatively modulated by EPH receptor stimulation. We further investigated the functional relationship between EFNB1 and one of the candidates identified, the epidermal growth factor receptor (EGFR). We found that EFNB1 and EGFR associate in cells and showed that the formation of this complex relies on EFNB1's PDZ-binding motif (PBM). Strikingly, we demonstrate that EGFR directly phosphorylates tyrosine residues within EFNB1's PBM, which results in the disruption of the EFNB1-EGFR complex. Furthermore, we show that the EFNB1-EGFR association is required for EFNB1-dependent cell adhesion to fibronectin. Taken together, our results shed light on a functional relationship between EFNB1 and EGFR.
期刊介绍:
The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action.
The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data.
Scope:
-Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights
-Novel experimental and computational technologies
-Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes
-Pathway and network analyses of signaling that focus on the roles of post-translational modifications
-Studies of proteome dynamics and quality controls, and their roles in disease
-Studies of evolutionary processes effecting proteome dynamics, quality and regulation
-Chemical proteomics, including mechanisms of drug action
-Proteomics of the immune system and antigen presentation/recognition
-Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease
-Clinical and translational studies of human diseases
-Metabolomics to understand functional connections between genes, proteins and phenotypes