Rastfeld Frederik, Hoffmann Marco, Krüger Sylvie, Bohn Patrick, Gribling-Burrer Anne-Sophie, Wagner Laura, Hersch Nils, Stegmayr Carina, Lövenich Lukas, Gerlach Sven, Köninger Daniel, Hoffmann Christina, Walter Helene L, Wiedermann Dirk, Manoharan Hajaani, Fink Gereon R, Merkel Rudolf, Bohlen Heribert, Smyth Redmond P, Rueger Maria A, Hoffmann Bernd
Institute of Biological Information Processing, IBI-2: Mechanobiology, Research Centre Juelich, Juelich, Germany.
Helmholtz Institute for RNA-based Infection Research, Helmholtz Centre for Infection Research, Würzburg, Germany.
Nat Commun. 2025 Jan 6;16(1):420. doi: 10.1038/s41467-024-55547-6.
Targeting of diseased cells is one of the most urgently needed prerequisites for a next generation of potent pharmaceuticals. Different approaches pursued fail mainly due to a lack of specific surface markers. Developing an RNA-based methodology, we can now ensure precise cell targeting combined with selective expression of effector proteins for therapy, diagnostics or cell steering. The specific combination of the molecular properties of antisense technology and mRNA therapy with functional RNA secondary structures allowed us to develop selectively expressed RNA molecules for medical applications. These seRNAs remain inactive in non-target cells and induce translation by partial degradation only in preselected cell types of interest. Cell specificity and type of functionalization are easily adaptable based on a modular system. In proof-of-concept studies we use seRNAs as platform technology for highly selective cell targeting. We effectively treat breast tumor cell clusters in mixed cell systems and shrink early U87 glioblastoma cell clusters in the brain of male mice without detectable side effects. Our data open up potential avenues for various therapeutic applications.
靶向病变细胞是新一代强效药物最迫切需要的先决条件之一。目前所采用的不同方法大多因缺乏特异性表面标志物而失败。通过开发一种基于RNA的方法,我们现在可以确保精确的细胞靶向,同时结合效应蛋白的选择性表达用于治疗、诊断或细胞操控。反义技术和mRNA疗法的分子特性与功能性RNA二级结构的特定组合,使我们能够开发出用于医学应用的选择性表达RNA分子。这些选择性表达的RNA(seRNAs)在非靶细胞中保持无活性,并且仅在预先选定的目标细胞类型中通过部分降解诱导翻译。基于模块化系统,细胞特异性和功能化类型很容易调整。在概念验证研究中,我们将seRNAs用作高度选择性细胞靶向的平台技术。我们有效地治疗了混合细胞系统中的乳腺肿瘤细胞簇,并缩小了雄性小鼠大脑中早期U87胶质母细胞瘤细胞簇,且未检测到副作用。我们的数据为各种治疗应用开辟了潜在途径。