A Self‐Serviced‐Track 3D DNA Walker for Ultrasensitive Detection of Tumor Exosomes by Glycoprotein Profiling
Sensitive and accurate analysis of low‐concentration of tumor‐derived exosomes (Exos) in biofluids is essential for noninvasive cancer diagnosis but is still challenging due to the lack of high‐sensitive methods with low‐cost and easy‐operation. Herein, exploiting target Exos as a three‐dimensional...
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Published in | Angewandte Chemie International Edition Vol. 61; no. 19; pp. e202116932 - n/a |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Germany
Wiley Subscription Services, Inc
02.05.2022
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Edition | International ed. in English |
Subjects | |
Online Access | Get full text |
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Summary: | Sensitive and accurate analysis of low‐concentration of tumor‐derived exosomes (Exos) in biofluids is essential for noninvasive cancer diagnosis but is still challenging due to the lack of high‐sensitive methods with low‐cost and easy‐operation. Herein, exploiting target Exos as a three‐dimensional (3D) track for the first time, we developed a self‐serviced‐track DNA walker (STDW) for wash‐free detection of tumor Exos using exosomal glycoprotein, which was enabled by split aptamer‐recognition‐initiated autonomous running powered by a catalytic hairpin assembly (CHA). Benefiting from high selectivity and sensitivity of the STDW assay, direct detection of tumor Exos in cell culture medium and serum could also be realized. Furthermore, this method exhibited high accuracy in clinical sample analysis, offering the potential for early cancer diagnosis and postoperative response prediction.
Exploiting target exosomes (Exos) as a three‐dimensional (3D) track: A self‐serviced‐track DNA walker (STDW) for wash‐free and highly sensitive detection of tumor Exos is constructed using split aptamer‐recognition‐initiated autonomous walking powered by a catalytic hairpin assembly. This STDW allows the direct detection of tumor Exos in serum and clinical samples. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1433-7851 1521-3773 |
DOI: | 10.1002/anie.202116932 |