Journal of Cell ScienceMolecular BiologyPeer-reviewed journal article
Mapping the global interactome of the ARF family reveals spatial organization in cellular signaling pathways
Laura QuirioniD, Amélie RobertiD, Jonathan BoulaisiD, Shiying HuangiD, Gabriela Bernal Astrain, Regina StrakhovaiD, Chang Hwa JoiD, Yacine KherdjemiliD, Denis FaubertiD, Marie-Pier Thibault, Marie KmitaiD, Jeremy M. BaskiniD, Anne‐Claude GingrasiD, Matthew James SmithiD, Jean‐François CôtéiD
Abstract
The ADP-ribosylation factors (ARFs) and ARF-like (ARLs) GTPases serve as essential molecular switches governing a wide array of cellular processes. In this study, we utilized 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. SUMMARY STATEMENTGeneration of the ARF family interactome allowed the attribution of potential localizations and functions to previously understudied members. We found that ARL14 activates PLD1 and contributes to ESCPE-1-mediated trafficking.
- organism: human
- assay: proteomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: cell-cell communication
- research focus: protein structure prediction
- approach: experimental assay
- Citations
- 19
- FWCI
- 3.83
- Field percentile
- top 5%
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