Probing the extent of importin-α targeting of the TAF8 NLS by eliminating its cationic net-charge.

IF 5.2 3区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Protein Science Pub Date : 2025-09-01 DOI:10.1002/pro.70272
Amirabbas Abdoli, Zhihan Yang, Abdullah Odeh-Ahmed, Olga Bednova, Bruno Lemieux, Leanne Dawe, Aymeric Ravel-Chapuis, Pierre Lavigne, Natalie Zeytuni, Jeffrey V Leyton
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Abstract

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.

通过消除TAF8 NLS的阳离子净电荷来探测输入α靶向的程度。
细胞核作为真核细胞的控制中心,由于其调节遗传物质的作用,是治疗干预的主要目标。输入蛋白-α对于细胞核的成功输入至关重要,因为它识别并结合携带经典核定位信号(NLS)的货物蛋白,从而促进它们从细胞质转运到细胞核。NLS标记“积极”导入治疗方法提供了最大化核定位和治疗效果的最有效手段。然而,传统的NLSs由于需要与输入蛋白α的识别和结合而具有高阳离子性。由于其高度“超级充电”的性质,nls标记的疗法面临着重大挑战,包括由于非特异性相互作用而导致的不良药代动力学。在这项研究中,我们设计了一种零净电荷的新型NLS标签,以潜在地克服这一限制。计算模型和实验验证表明,这些净中性nls与输入α结合的模式和能量与阳离子nls相似。高分辨率的结构测定和x射线晶体学分析证实了它们的结合模式。使用圆二色性、微尺度热电泳和细胞定位研究的生物物理方法表明,这些NLSs保持足够稳定的复合物和可接受的与输入蛋白α的结合,并且具有功能性。此外,本研究还发现,进口蛋白-α的小nls结合位点具有广泛的阳离子表面积,特别适合与净中性nls的酸性残基相互作用。本研究提供了对nls输入蛋白相互作用的基本理解,并提出了净中性nls作为下一代nls治疗开发的可行候选者,并扩大了核靶向治疗的范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Protein Science
Protein Science 生物-生化与分子生物学
CiteScore
12.40
自引率
1.20%
发文量
246
审稿时长
1 months
期刊介绍: Protein Science, the flagship journal of The Protein Society, is a publication that focuses on advancing fundamental knowledge in the field of protein molecules. The journal welcomes original reports and review articles that contribute to our understanding of protein function, structure, folding, design, and evolution. Additionally, Protein Science encourages papers that explore the applications of protein science in various areas such as therapeutics, protein-based biomaterials, bionanotechnology, synthetic biology, and bioelectronics. The journal accepts manuscript submissions in any suitable format for review, with the requirement of converting the manuscript to journal-style format only upon acceptance for publication. Protein Science is indexed and abstracted in numerous databases, including the Agricultural & Environmental Science Database (ProQuest), Biological Science Database (ProQuest), CAS: Chemical Abstracts Service (ACS), Embase (Elsevier), Health & Medical Collection (ProQuest), Health Research Premium Collection (ProQuest), Materials Science & Engineering Database (ProQuest), MEDLINE/PubMed (NLM), Natural Science Collection (ProQuest), and SciTech Premium Collection (ProQuest).
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