Cited by 1Protein Kinase Regulation and GTPase SignalingCellular transport and secretionReceptor Mechanisms and Signaling

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

An active allosteric mechanism in ASAP1-mediated Arf1 GTP hydrolysis redefines PH domain function

Open access

Published version of a preprint

Abstract

GTPase-activating proteins are important regulators of small GTPases; among these, ASAP1 stimulates GTP hydrolysis on Arf1 and is implicated in cancer progression. ASAP1 contains a Pleckstrin Homology (PH) domain essential for maximum Arf·GTP hydrolysis. The prevailing view of PH domains is that they regulate proteins through passive mechanisms like membrane recruitment. In sharp contrast, we show that the PH domain of ASAP1 actively contributes to Arf1 GTP hydrolysis. By combining NMR, molecular dynamics simulations, kinetic assays, and mutational analysis, we find that the PH domain binds Arf·GTP at the membrane, to establish an active state primed for GTP hydrolysis. We identify key residues on the PH domain and Arf that drive this allosteric mechanism, which mathematical modeling shows contributes as much to GTPase activation as membrane recruitment. The finding that PH domains directly modulate small GTPases has broad implications for the Ras and Rho oncoprotein families.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41467-025-63764-w

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 55

  1. Kahn, R. A. et al. Consensus nomenclature for the human ArfGAP domain-containing proteins. J. Cell Biol. 182, 1039–1044 (2008). · DOI
  2. Sztul, E. et al. ARF GTPases and their GEFs and GAPs: concepts and challenges. Mol. Biol. Cell 30, 1249–1271 (2019). · DOI
  3. Jian, X. Y. et al. Autoinhibition of Arf GTPase-activating protein activity by the BAR domain in ASAP1. J. Biol. Chem. 284, 1652–1663 (2009). · DOI
  4. Luo, R. et al. Kinetic analysis of GTP hydrolysis catalysed by the Arf1-GTP-ASAP1 complex (vol 402, pg 439, 2007). Biochem. J. 407, 471–471 (2007). · DOI
  5. Jian, X. Y. et al. Molecular basis for cooperative binding of anionic phospholipids to the PH domain of the Arf GAP ASAP1. Structure 23, 1977–1988 (2015). · DOI · Paper page
  6. Kam, J. L. et al. Phosphoinositide-dependent activation of the ADP-ribosylation factor GTPase-activating protein ASAP1—evidence for the pleckstrin homology domain functioning as an allosteric site. J. Biol. Chem. 275, 9653–9663 (2000). · DOI
  7. Roy, N. S. et al. Interaction of the N terminus of ADP-ribosylation factor with the PH domain of the GTPase-activating protein ASAP1 requires phosphatidylinositol 4,5-bisphosphate. J. Biol. Chem. 294, 17354–17370 (2019). · DOI
  8. Soubias, O. et al. Membrane surface recognition by the ASAP1 PH domain and consequences for interactions with the small GTPase Arf1. Sci. Adv. 6, eabd1882 (2020). · DOI
  9. Denisov, I. G. & Sligar, S. G. Nanodiscs in membrane biochemistry and biophysics. Chem. Rev. 117, 4669–4713 (2017). · DOI
  10. Hagn, F., Etzkorn, M., Raschle, T. & Wagner, G. Optimized phospholipid bilayer nanodiscs facilitate high-resolution structure determination of membrane proteins. J. Am. Chem. Soc. 135, 1919–1925 (2013). · DOI
  11. Hamel, D. J. & Dahlquist, F. W. The contact interface of a 120 kD CheA-CheW complex by methyl TROSY interaction spectroscopy. J. Am. Chem. Soc. 127, 9676–9677 (2005). · DOI
  12. Battiste, J. L. & Wagner, G. Utilization of site-directed spin labeling and high-resolution heteronuclear nuclear magnetic resonance for global fold determination of large proteins with limited nuclear overhauser effect data. Biochemistry 39, 5355–5365 (2000). · DOI
  13. Clore, G. M. Practical aspects of paramagnetic relaxation enhancement in biological macromolecules. Methods Enzymol. 564, 485–497 (2015). · DOI
  14. Dominguez, C., Boelens, R. & Bonvin, A. M. HADDOCK: a protein-protein docking approach based on biochemical or biophysical information. J. Am. Chem. Soc. 125, 1731–1737 (2003). · DOI · Paper page
  15. van Zundert, G. C. P. et al. The HADDOCK2.2 Web Server: user-friendly integrative modeling of biomolecular complexes. J. Mol. Biol. 428, 720–725 (2016). · DOI · Paper page
  16. Pervushin, K., Riek, R., Wider, G. & Wuthrich, K. Attenuated T2 relaxation by mutual cancellation of dipole-dipole coupling and chemical shift anisotropy indicates an avenue to NMR structures of very large biological macromolecules in solution. Proc. Natl. Acad. Sci. USA 94, 12366–12371 (1997). · DOI
  17. Li, J. et al. Optimization of sortase A ligation for flexible engineering of complex protein systems. J. Biol. Chem. 295, 2664–2675 (2020). · DOI
  18. Zhang, Y. et al. Myr-Arf1 conformational flexibility at the membrane surface sheds light on the interactions with ArfGAP ASAP1. Nat. Commun. 14, 7570 (2023). · DOI
  19. Gasper, R. & Wittinghofer, F. The Ras switch in structural and historical perspective. Biol. Chem. 401, 143–163 (2019). · DOI
  20. Spoerner, M., Herrmann, C., Vetter, I. R., Kalbitzer, H. R. & Wittinghofer, A. Dynamic properties of the Ras switch I region and its importance for binding to effectors. Proc. Natl. Acad. Sci. USA 98, 4944–4949 (2001). · DOI
  21. Kremer, W., Steiner, G., Beraud-Dufour, S. & Kalbitzer, H. R. Conformational states of the small G protein Arf-1 in complex with the guanine nucleotide exchange factor ARNO-Sec7. J. Biol. Chem. 279, 17004–17012 (2004). · DOI
  22. Mishra, B. & Johnson, M. E. Speed limits of protein assembly with reversible membrane localization. J. Chem. Phys. 154, 194101 (2021). · DOI
  23. Wu, Y., Vendome, J., Shapiro, L., Ben-Shaul, A. & Honig, B. Transforming binding affinities from three dimensions to two with application to cadherin clustering. Nature 475, 510–513 (2011). · DOI
  24. Yogurtcu, O. N. & Johnson, M. E. Cytosolic proteins can exploit membrane localization to trigger functional assembly. PLoS Comput. Biol. 14, e1006031 (2018). · DOI
  25. Siemers, M. et al. Bridge: a graph-based algorithm to analyze dynamic H-bond networks in membrane proteins. J. Chem. Theory Comput. 15, 6781–6798 (2019). · DOI
  26. Venkatakrishnan, A. J. et al. Diverse GPCRs exhibit conserved water networks for stabilization and activation. Proc. Natl. Acad. Sci. USA 116, 3288–3293 (2019). · DOI
  27. Scheffzek, K. & Shivalingaiah, G. Ras-specific GTPase-activating proteins-structures, mechanisms, and interactions. Cold Spring Harb. Perspect. Med. 9, a031500 (2019). · DOI
  28. Ahmadian, M. R., Stege, P., Scheffzek, K. & Wittinghofer, A. Confirmation of the arginine-finger hypothesis for the GAP-stimulated GTP-hydrolysis reaction of Ras. Nat. Struct. Biol. 4, 686–689 (1997). · DOI
  29. Ahmadian, M. R. et al. Guanosine triphosphatase stimulation of oncogenic Ras mutants. Proc. Natl. Acad. Sci. USA 96, 7065–7070 (1999). · DOI
  30. Ismail, S. A., Vetter, I. R., Sot, B. & Wittinghofer, A. The structure of an Arf-ArfGAP complex reveals a Ca2+ regulatory mechanism. Cell 141, 812–821 (2010). · DOI
  31. Menetrey, J. et al. Structural basis for ARF1-mediated recruitment of ARHGAP21 to Golgi membranes. EMBO J. 26, 1953–1962 (2007). · DOI
  32. Malaby, A. W., van den Berg, B. & Lambright, D. G. Structural basis for membrane recruitment and allosteric activation of cytohesin family Arf GTPase exchange factors. Proc. Natl. Acad. Sci. USA 110, 14213–14218 (2013). · DOI
  33. Liu, Y., Kahn, R. A. & Prestegard, J. H. Interaction of Fapp1 with Arf1 and PI4P at a membrane surface: an example of coincidence detection. Structure 22, 421–430 (2014). · DOI
  34. Luo, R., Ha, V. L., Hayashi, R. & Randazzo, P. A. Arf GAP2 is positively regulated by coatomer and cargo. Cell. Signal. 21, 1169–1179 (2009). · DOI
  35. Dodonova, S. O. et al. 9A structure of the COPI coat reveals that the Arf1 GTPase occupies two contrasting molecular environments. Elife 6, e26691 (2017). · DOI
  36. Jiao, Y. et al. Genipin, a natural AKT inhibitor, targets the PH domain to affect downstream signaling and alleviates inflammation. Biochem. Pharm. 170, 113660 (2019). · DOI
  37. Kang, Y. et al. Regulation of AKT activity by inhibition of the pleckstrin homology domain-PtdIns(3,4,5)P(3) interaction using flavonoids. J. Microbiol. Biotechnol. 28, 1401–1411 (2018). · DOI
  38. Kumar, C. C. & Madison, V. AKT crystal structure and AKT-specific inhibitors. Oncogene 24, 7493–7501 (2005). · DOI
  39. Mahadevan, D. et al. Discovery of a novel class of AKT pleckstrin homology domain inhibitors. Mol. Cancer Ther. 7, 2621–2632 (2008). · DOI
  40. Meuillet, E. J. Novel inhibitors of AKT: assessment of a different approach targeting the pleckstrin homology domain. Curr. Med. Chem. 18, 2727–2742 (2011). · DOI
  41. Cash, J. N. et al. Discovery of small molecules that target the phosphatidylinositol (3,4,5) trisphosphate (PIP(3))-dependent Rac exchanger 1 (P-Rex1) PIP(3)-binding site and inhibit P-Rex1-dependent functions in neutrophils. Mol. Pharm. 97, 226–236 (2020). · DOI
  42. Nawrotek, A. et al. PH-domain-binding inhibitors of nucleotide exchange factor BRAG2 disrupt Arf GTPase signaling. Nat. Chem. Biol. 15, 358–366 (2019). · DOI
  43. Rosenberg, E. M. Jr et al. The small molecule inhibitor NAV-2729 has a complex target profile including multiple ADP-ribosylation factor regulatory proteins. J. Biol. Chem. 299, 102992 (2023). · DOI
  44. Li, J. & Byrd, R. A. A simple protocol for the production of highly deuterated proteins for biophysical studies. J. Biol. Chem. 298, 102253 (2022). · DOI
  45. Delaglio, F. et al. NMRPipe: a multidimensional spectral processing system based on UNIX pipes. J. Biomol. NMR 6, 277–293 (1995). · DOI
  46. Favier, A. & Brutscher, B. NMRlib: user-friendly pulse sequence tools for Bruker NMR spectrometers. J. Biomol. NMR 73, 199–211 (2019). · DOI
  47. Jo, S., Kim, T., Iyer, V. G. & Im, W. CHARMM-GUI: a web-based graphical user interface for CHARMM. J. Comput. Chem. 29, 1859–1865 (2008). · DOI · Paper page
  48. Huang, J. et al. CHARMM36m: an improved force field for folded and intrinsically disordered proteins. Nat. Methods 14, 71–73 (2017). · DOI
  49. Klauda, J. B. et al. Update of the CHARMM all-atom additive force field for lipids: validation on six lipid types. J. Phys. Chem. B 114, 7830–7843 (2010). · DOI
  50. Michaud-Agrawal, N., Denning, E. J., Woolf, T. B. & Beckstein, O. Software news and updates MDAnalysis: a toolkit for the analysis of molecular dynamics simulations. J. Comput. Chem. 32, 2319–2327 (2011). · DOI
  51. Polyhach, Y., Bordignon, E. & Jeschke, G. Rotamer libraries of spin labelled cysteines for protein studies. Phys. Chem. Chem. Phys. 13, 2356–2366 (2011). · DOI
  52. Randazzo, P. A. et al. Quantitative analysis of guanine nucleotide exchange factors (GEFs) as enzymes. Cell Logist. 3, e27609 (2013). · DOI
  53. Randazzo, P. A. & Kahn, R. A. Gtp hydrolysis by Adp-ribosylation factor is dependent on both an Adp-ribosylation factor Gtpase-activating protein and acid phospholipids. J. Biol. Chem. 269, 16519–16519 (1994). · DOI
  54. Randazzo, P. A., Miura, K. & Jackson, T. R. Assay and purification of phosphoinositide-dependent ADP-ribosylation factor (ARF) GTPase activating proteins. Methods Enzymol. 329, 343–354 (2001). · DOI
  55. Pettersen, E. F. et al. UCSF Chimera-a visualization system for exploratory research and analysis. J. Comput. Chem. 25, 1605–1612 (2004). · DOI

Metadata

Authors
Soubias, O., Foley, S. L., Jian, X., Jackson, R. A., Zhang, Y., Rosenberg, E. M., Hu, B. J., Li, J., Heinrich, F., Johnson, M. E., Sodt, A. J., Randazzo, P. A., & Byrd, R. A.
Affiliations
  • National Institutes of Health (US)
  • Johns Hopkins University (US)
  • National Cancer Institute (US)
  • National Institute of Standards and Technology (US)
Corresponding author
  • Randazzo, Paul A.
  • Byrd, R. Andrew
Venue
Nature Communications
Published
2025-09-30
Volume
16
Issue
1
Pages
8701-8701
ISSN
2041-1723 (ISSN-L)
OpenAlex
W4414650702
Cited by
1
References
1
Citations by year
2026: 1
FWCI
0.30
Type
journal article
Language
en
Open access
Locations
  • Nature Communications (publishedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (submittedVersion, cc-by)
  • PubMed Central (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • U.S. Department of Health & Human Services | NIH | National Cancer Institute (ZIABC007365, ZIA BC011131)
  • U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (R35GM133644)
  • U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (ZIA HD008955)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular transport and secretion
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
Keywords
ASAP1, Arf1, GTPase-activating protein, GTP hydrolysis, pleckstrin homology domain, allosteric mechanism, membrane recruitment, small GTPase regulation, oncogenic Ras, tumor progression

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review