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1.
J Cell Sci ; 137(9)2024 05 01.
Artigo em Inglês | MEDLINE | ID: mdl-38606629

RESUMO

The ADP-ribosylation factors (ARFs) and ARF-like (ARL) GTPases serve as essential molecular switches governing a wide array of cellular processes. In this study, we used proximity-dependent biotin identification (BioID) to comprehensively map the interactome of 28 out of 29 ARF and ARL proteins in two cellular models. Through this approach, we identified ∼3000 high-confidence proximal interactors, enabling us to assign subcellular localizations to the family members. Notably, we uncovered previously undefined localizations for ARL4D and ARL10. Clustering analyses further exposed the distinctiveness of the interactors identified with these two GTPases. We also reveal that the expression of the understudied member ARL14 is confined to the stomach and intestines. We identified phospholipase D1 (PLD1) and the ESCPE-1 complex, more precisely, SNX1, as proximity interactors. Functional assays demonstrated that ARL14 can activate PLD1 in cellulo and is involved in cargo trafficking via the ESCPE-1 complex. Overall, the BioID data generated in this study provide a valuable resource for dissecting the complexities of ARF and ARL spatial organization and signaling.


Assuntos
Fatores de Ribosilação do ADP , Fosfolipase D , Transdução de Sinais , Fatores de Ribosilação do ADP/metabolismo , Fatores de Ribosilação do ADP/genética , Humanos , Fosfolipase D/metabolismo , Fosfolipase D/genética , Células HEK293 , Animais , Nexinas de Classificação/metabolismo , Nexinas de Classificação/genética , Mapeamento de Interação de Proteínas
2.
Cell Rep ; 42(7): 112670, 2023 07 25.
Artigo em Inglês | MEDLINE | ID: mdl-37392382

RESUMO

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 explore molecular landscapes underlying their pro- and anti-malignant activities. Using unbiased bioinformatics approaches, we construct a cancer-related network of genetic interactions (GIs) of all Ephs and ephrins to assist in their therapeutic manipulation. We also apply genetic screening and BioID proteomics and integrate them with machine learning approaches to select the most relevant GIs of one Eph receptor, EPHB6. This identifies a crosstalk between EPHB6 and EGFR, and further experiments confirm the ability of EPHB6 to modulate EGFR signaling, enhancing the proliferation of cancer cells and tumor development. Taken together, our observations show EPHB6 involvement in EGFR action, suggesting its targeting might be beneficial in EGFR-dependent tumors, and confirm that the Eph family genetic interactome presented here can be effectively exploited in developing cancer treatment approaches.


Assuntos
Efrinas , Neoplasias , Efrinas/genética , Proteômica , Receptores da Família Eph/genética , Receptores da Família Eph/metabolismo , Transdução de Sinais , Receptores ErbB/genética , Neoplasias/genética
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