The nucleus, as the control center of the eukaryotic cell, is a prime target for therapeutic interventions due to its role in regulating genetic material. Importin-α is critical for successful nuclear import as it recognizes and binds to cargo proteins bearing a classical nuclear localization signal (NLS), which facilitates their transport from the cytoplasm into the nucleus. NLS tagging to 'actively' import therapeutics provides the most effective means of maximizing nuclear localization and therapeutic efficacy. However, traditional NLSs are highly cationic due to the recognition and binding requirements with importin-α. Because of their highly 'super-charged' nature, NLS-tagged therapeutics face significant challenges, including poor pharmacokinetics due to non-specific interactions. In this study, we engineered novel NLS tags with zero net charge to potentially overcome this limitation. Computational modeling and experimental validation revealed that these net-neutral NLSs bind to importin-α with similar modes and energies as their cationic counterpart. High-resolution structural determination and analysis by X-ray crystallography then confirmed their binding modes. Biophysical methods using circular dichroism, microscale thermophoresis, and cellular localization studies demonstrated that these NLSs maintain sufficiently stable complexes and acceptable binding to importin-α and are functional. Additionally, this study revealed that the minor NLS-binding site of importin-α, with its extensive cationic surface area, was particularly suited for interactions with the acidic residues of the net-neutral NLSs. This study provides a foundational understanding of NLS-importin interactions and presents net-neutral NLSs as viable candidates for next-generation NLS-therapeutic development and expands the scope of nuclear-targeting therapies.
Probing the extent of importin-α targeting of the TAF8 NLS by eliminating its cationic net-charge.
通过消除其阳离子净电荷来探测输入蛋白α对TAF8 NLS的靶向程度
阅读:4
作者:Abdoli Amirabbas, Yang Zhihan, Odeh-Ahmed Abdullah, Bednova Olga, Lemieux Bruno, Dawe Leanne, Ravel-Chapuis Aymeric, Lavigne Pierre, Zeytuni Natalie, Leyton Jeffrey V
| 期刊: | Protein Science | 影响因子: | 5.200 |
| 时间: | 2025 | 起止号: | 2025 Sep;34(9):e70272 |
| doi: | 10.1002/pro.70272 | 研究方向: | 免疫/内分泌 |
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
