The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
λ-DNA- and Aptamer-Mediated Sorting and Analysis of Extracellular Vesicles
Abstract
Extracellular vesicles (EVs) are heavily implicated in diverse pathological processes. Due to their small size, distinct biogenesis, and heterogeneous marker expression, isolation and detection of single EV subpopulations are difficult. Here, we develop a λ-DNA- and aptamer-mediated approach allowing for simultaneous size-selective separation and surface protein analysis of individual EVs. Using a machine learning algorithm to EV signature based on their size and marker expression, we demonstrate that the isolated microvesicles are more efficient than exosomes and apoptotic bodies in discriminating breast cell lines and Stage II breast cancer patients with varied immunohistochemical expression of HER2. Our method provides an important tool to assess the EV heterogeneity at the single EV level with potential value in clinical diagnostics.
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Cites
Shedding light on the cell biology of extracellular vesicles
van Niel, G., D'Angelo, G., & Raposo, G. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.125 · Cited by 8,369
Kowal, J., Arras, G., Colombo, M., Jouve, M., Morath, J. P., Primdal-Bengtson, B., Dingli, F., Loew, D., Tkach, M., & Théry, C. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1521230113 · Cited by 3,426
Combining Machine Learning and Nanofluidic Technology To Diagnose Pancreatic Cancer Using Exosomes
Ko, J., Bhagwat, N., Yee, S. S., Ortiz, N., Sahmoud, A., Black, T., Aiello, N. M., McKenzie, L., O’Hara, M., Redlinger, C., et al. (2017) · ACS Nano · doi:10.1021/acsnano.7b05503 · Cited by 249
Sun, J., Li, Y., Yan, F., Liu, C., Sang, Y., Tian, F., Feng, Q., Duan, P., Zhang, L., Shi, X., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05017-7 · Cited by 134
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Cited by
Exosomes as a new frontier of cancer liquid biopsy
Yu, D., Li, Y., Wang, M., Gu, J., Xu, W., Cai, H., Fang, X., & Zhang, X. (2022) · Molecular Cancer · doi:10.1186/s12943-022-01509-9 · Cited by 855
Analysis of extracellular vesicles as emerging theranostic nanoplatforms
Xing, Y., Cheng, Z., Wang, R., Lv, C., James, T. D., & Yu, F. (2020) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2020.213506 · Cited by 67
Recent advances in isolation and detection of exosomal microRNAs related to Alzheimer's disease
Pishbin, E., Sadri, F., Dehghan, A., Kiani, M. J., Hashemi, N., Zare, I., Mousavi, P., & Rahi, A. (2023) · Environmental Research · doi:10.1016/j.envres.2023.115705 · Cited by 25
Empowering Exosomes with Aptamers for Precision Theranostics
Zheng, L., Li, J., Li, Y., Sun, W., Ma, L., Qu, F., & Tan, W. (2025) · Small Methods · doi:10.1002/smtd.202400551 · Cited by 21
Metadata
- Authors
- Liu, C., Zhao, J., Tian, F., Chang, J., Zhang, W., & Sun, J.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-02-21
- Volume
- 141
- Issue
- 9
- Pages
- 3817-3821
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2918126309
- Cited by
- 264
- References
- 4
- FWCI
- 10.10
- Type
- journal article
- Language
- en
- Open access
- closed
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