Modular Lysosome-Targeting Platform Based on a Multivalent DNA Framework for Programmable Protein Degradation

Abstract Targeted degradation of extracellular and membrane-bound proteins holds immense therapeutic potential but remains technically challenging. Lysosome-targeting chimeras (LYTACs) have emerged to bridge this gap, yet platforms built on monomeric aptamers suffer from inadequate stability, inefficient cellular uptake, and a lack of modularity. Here, we developed a tetrahedral DNA nanostructure-based multivalent lysosome-targeting antibody platform (TDN-MLYTAB) to overcome these limitations. Our platform employs two key engineered components: a rigid TDN scaffold enables the precise multivalent display of aptamers to enhance binding stability and lysosomal targeting while preventing steric hindrance, and an engineered secondary antibody serves as a universal adaptor, conferring plug-and-play modularity. By simply exchanging the primary antibody, we achieved efficient degradation of multiple distinct cell-surface proteins in different cellular models without platform re-engineering. Compared to conventional flexible and monovalent systems, TDN-MLYTAB uniquely avoids structural collapse, exhibiting substantially improved internalization and a remarkable degradation efficiency of ∼71% at 100 nM after 24 h. This work not only presents a versatile degradation platform but also demonstrates how programmable DNA nanostructures can overcome persistent bioconjugation challenges, advancing modular therapeutics toward application.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2026-09-21
DOI
https://doi.org/10.1021/acsami.6c15457
Primary Topic
Protein Degradation and Inhibitors
Type
article
Field-Weighted Citation Impact
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article

Modular Lysosome-Targeting Platform Based on a Multivalent DNA Framework for Programmable Protein Degradation

Xin Wan, Quanhao Dou, Jialin Zeng, Yuanqing Zhang et al.
ACS Applied Materials & Interfaces
Protein Degradation and Inhibitors
article

Modular Lysosome-Targeting Platform Based on a Multivalent DNA Framework for Programmable Protein Degradation

Xin Wan, Quanhao Dou, Jialin Zeng, Yuanqing Zhang, Miao Mao, Xi Chen
article en

Abstract

Abstract Targeted degradation of extracellular and membrane-bound proteins holds immense therapeutic potential but remains technically challenging. Lysosome-targeting chimeras (LYTACs) have emerged to bridge this gap, yet platforms built on monomeric aptamers suffer from inadequate stability, inefficient cellular uptake, and a lack of modularity. Here, we developed a tetrahedral DNA nanostructure-based multivalent lysosome-targeting antibody platform (TDN-MLYTAB) to overcome these limitations. Our platform employs two key engineered components: a rigid TDN scaffold enables the precise multivalent display of aptamers to enhance binding stability and lysosomal targeting while preventing steric hindrance, and an engineered secondary antibody serves as a universal adaptor, conferring plug-and-play modularity. By simply exchanging the primary antibody, we achieved efficient degradation of multiple distinct cell-surface proteins in different cellular models without platform re-engineering. Compared to conventional flexible and monovalent systems, TDN-MLYTAB uniquely avoids structural collapse, exhibiting substantially improved internalization and a remarkable degradation efficiency of ∼71% at 100 nM after 24 h. This work not only presents a versatile degradation platform but also demonstrates how programmable DNA nanostructures can overcome persistent bioconjugation challenges, advancing modular therapeutics toward application.

ACS Applied Materials & Interfaces
National Sun Yat-sen University (TW), Sun Yat-sen University (CN), South China Normal University (CN), Sun Yat-sen Memorial Hospital (CN)
Openalex Percentile: Top 18%
Protein Degradation and Inhibitors
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Modular Lysosome-Targeting Platform Based on a Multivalent DNA Framework for Programmable Protein Degradation — Xin Wan, Quanhao Dou, et al. · ACS Applied Materials & Interfaces (2026) | TGRS Research Map | TGRS