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Cited by 479

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Selection of Aptamers for Molecular Recognition and Characterization of Cancer Cells

Tang, Zhiwen, Shangguan, Dihua, Wang, Kemin, Shi, Hui, Sefah, Kwame, Mallikratchy, Prabodhika, Chen, Hui William, Li, Ying, Tan, Weihong·2007·Analytical Chemistry

Abstract

In this paper, we describe a new way to generate molecular probes for specific recognition of cancer cells. Molecular medicine will require a large number of probes for molecular recognition and characterization of a variety of diseased cells. Aptamers, single-stranded DNA/RNA probes, are poised to become a chemist's antibody and have the potential to serve as molecular probes for a variety of biomedical applications. By applying newly developed cell-SELEX (cell-based systematic evolution of ligands by exponential enrichment) against whole living cells, panels of aptamers have been evolved from an initial DNA library to characterize target cells at the molecular level. Ramos cells, a B-cell lymphoma cell line, were used as target cells for the generation of effective molecular probes. By taking advantages of the repetitive and broad enrichment strategy, the selected aptamers could bind to target cells and other closely related cell lines in variant patterns with an equilibrium dissociation constant (Kd) in the nanomolar range. Some aptamers could also specifically recognize the target lymphoma cells mixed with normal human bone marrow aspirates. The cell-based SELEX is simple, fast, and robust. The strategies used here will be highly useful for aptamer selection against complex target samples in order to generate a large number of aptamers in a variety of biomedical and biotechnological applications, paving the way for molecular diagnosis, therapy, and biomarker discovery.

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Metadata

Authors
Tang, Z., Shangguan, D., Wang, K., Shi, H., Sefah, K., Mallikratchy, P., Chen, H. W., Li, Y., & Tan, W.
Venue
Analytical Chemistry
Published
2007-05-27
Volume
79
Issue
13
Pages
4900-4907
ISSN
  • 0003-2700 (ISSN-L)
  • 1520-6882
OpenAlex
W2086047273
Cited by
479
References
1
FWCI
8.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Selection of Aptamers for Molecular Recognition and Characterization of Cancer Cells. https://app.cochat.ai/papers/10.1021/ac070189y
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Tang, Z., Shangguan, D., Wang, K., Shi, H., Sefah, K., Mallikratchy, P., Chen, H. W., Li, Y., & Tan, W. (2007). Selection of Aptamers for Molecular Recognition and Characterization of Cancer Cells. Analytical Chemistry. https://doi.org/10.1021/ac070189y

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.