La Trobe

Structural Characterization of Porcine Adeno-Associated Virus Capsid Protein with Nuclear Trafficking Protein Importin Alpha Reveals a Bipartite Nuclear Localization Signal

journal contribution
posted on 2025-02-21, 01:53 authored by Mikayla Hoad, Emily M Cross, Camilla M Donnelly, Subir SarkerSubir Sarker, Justin A Roby, Jade K Forwood

Abstract:

Adeno-associated viruses (AAV) are important vectors for gene therapy, and accordingly, many aspects of their cell transduction pathway have been well characterized. However, the specific mechanisms that AAV virions use to enter the host nucleus remain largely unresolved. We therefore aimed to reveal the interactions between the AAV Cap protein and the nuclear transport protein importin alpha (IMPα) at an atomic resolution. Herein we expanded upon our earlier research into the Cap nuclear localization signal (NLS) of a porcine AAV isolate, by examining the influence of upstream basic regions (BRs) towards IMPα binding. Using a high-resolution crystal structure, we identified that the IMPα binding determinants of the porcine AAV Cap comprise a bipartite NLS with an N-terminal BR binding at the minor site of IMPα, and the previously identified NLS motif binding at the major site. Quantitative assays showed a vast difference in binding affinity between the previously determined monopartite NLS, and bipartite NLS described in this study. Our results provide a detailed molecular view of the interaction between AAV capsids and the nuclear import receptor, and support the findings that AAV capsids enter the nucleus by binding the nuclear import adapter IMPα using the classical nuclear localization pathway.

Funding

Subir Sarker is the recipients of an Australian Research Council Discovery Early CareerResearcher Awards (DE200100367) funded by the Australian Government.

History

Publication Date

2023-01-23

Journal

Viruses

Volume

15

Issue

2

Article Number

315

Pagination

16p.

Publisher

Multidisciplinary Digital Publishing Institute (MDPI)

ISSN

1999-4915

Rights Statement

© 2023 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license: https://creativecommons.org/licenses/by/4.0/

Usage metrics

    Journal Articles

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC