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ORIGINAL RESEARCH article
Front. Mol. Biosci.
Sec. Molecular Diagnostics and Therapeutics
Volume 12 - 2025 |
doi: 10.3389/fmolb.2025.1531108
This article is part of the Research Topic Applications of High-Sensitivity Detection, Component Analysis, and Vector Construction for Extracellular Vesicles in Cancer Diagnosis and Treatment View all articles
Labeling tumor-associated extracellular vesicles with antibody-DNA conjugates for quantitative analysis
Provisionally accepted- 1 Hangzhou Normal University, Hangzhou, China
- 2 Shandong Research Academy of Traditional Chinese Medicine, Jinan, China
Extracellular vesicles (EVs) shed from tumor cells into peripheral circulation or other body fluids are promising biomarkers for cancer diagnosis with enormously long circulation. Consequently, precise methods for differentiating normal and tumor-associated EVs (TAEs) are required. This study used quantifiable antibody-DNA conjugate-assisted quantitative methods combined with proximity ligation technology to detect TAEs. The antibody-DNA conjugate contained one antibody associated with three oligonucleotides for signal amplification. The antibody in the conjugate can recognize the surface tumor antigens of TAEs.Simultaneously, DNA in the conjugate is attached to the surfaces of TAEs and holds the signal amplification post, converting protein identities to DNA amplification for protein detection, even at the molecular level. These findings revealed that TAEs can be quantitatively detected using DNA-mediated quantitative polymerase chain reaction (qPCR). Antibody-DNA conjugates were used to recognize the epithelial cell adhesion molecule (EpCAM) antigen on the TAE surface and quantify the antigen using qPCR for cancer analysis. This method proposed a new quantitative detection approach for TAEs, which aim to identify specific EV-associated markers for diagnostic or therapeutic ,this method could inspire a new idea for tumor diagnosis and detection of other diseases.
Keywords: extracellular vesicles, Antibody-DNA conjugates, Poisson Distribution, Proximity ligation technology, Tumor diagnosis
Received: 19 Nov 2024; Accepted: 06 Jan 2025.
Copyright: © 2025 Tian, Du, Li, Shen, Tian, Cao, Xu, Xu and Shuling. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Qingchang Tian, Hangzhou Normal University, Hangzhou, China
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