Ya Cao, Xiaomeng Yu, Liang Zhou, Bing Bo, Zihan Zou, Xi Jin, Jing Zhao, Xiaolei Zuo
{"title":"Cell Surface-Confined DNAzyme Coordination-Facilitated Logical Engineering for Precise Cell Identification","authors":"Ya Cao, Xiaomeng Yu, Liang Zhou, Bing Bo, Zihan Zou, Xi Jin, Jing Zhao, Xiaolei Zuo","doi":"10.1002/adma.202504363","DOIUrl":null,"url":null,"abstract":"DNA logical processing, which employs DNA as a building block to perform logic operations, attracts considerable attention in biomedical applications. Herein, a new DNA logical processing strategy is explored for selective cell engineering and to develop a feasible technology for precise cell identification. Specifically, this cell identification technology accomplishes logical engineering through the employment of cell surface-confined DNAzyme coordination, which not only enables the labeling of versatile DNA probes at specific cells but also avoids false-positive outputs caused by the neighboring non-target cells. In proof-of-principle studies, this cell identification technology achieves precise magnetic isolation and electrochemical determination of specific cancer cells (i.e., stem cell-like subpopulations in breast cancer). When further applied to tumors taken from mouse models, this technology exhibits accuracy comparable to that of flow cytometry; however, it is simple to operate and offers superior recognition capabilities for revealing multiple biomarkers. More importantly, this cell identification technology can be successfully applied in tumor tissues from breast cancer and lung cancer patients, demonstrating satisfactory practicability. Therefore, this work may provide new insights for the precise identification of cells, especially cancer cells, and is expected to offer technical support for clinical diagnosis and related biomedical research.","PeriodicalId":114,"journal":{"name":"Advanced Materials","volume":"134 1","pages":""},"PeriodicalIF":27.4000,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Materials","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/adma.202504363","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
DNA logical processing, which employs DNA as a building block to perform logic operations, attracts considerable attention in biomedical applications. Herein, a new DNA logical processing strategy is explored for selective cell engineering and to develop a feasible technology for precise cell identification. Specifically, this cell identification technology accomplishes logical engineering through the employment of cell surface-confined DNAzyme coordination, which not only enables the labeling of versatile DNA probes at specific cells but also avoids false-positive outputs caused by the neighboring non-target cells. In proof-of-principle studies, this cell identification technology achieves precise magnetic isolation and electrochemical determination of specific cancer cells (i.e., stem cell-like subpopulations in breast cancer). When further applied to tumors taken from mouse models, this technology exhibits accuracy comparable to that of flow cytometry; however, it is simple to operate and offers superior recognition capabilities for revealing multiple biomarkers. More importantly, this cell identification technology can be successfully applied in tumor tissues from breast cancer and lung cancer patients, demonstrating satisfactory practicability. Therefore, this work may provide new insights for the precise identification of cells, especially cancer cells, and is expected to offer technical support for clinical diagnosis and related biomedical research.
期刊介绍:
Advanced Materials, one of the world's most prestigious journals and the foundation of the Advanced portfolio, is the home of choice for best-in-class materials science for more than 30 years. Following this fast-growing and interdisciplinary field, we are considering and publishing the most important discoveries on any and all materials from materials scientists, chemists, physicists, engineers as well as health and life scientists and bringing you the latest results and trends in modern materials-related research every week.