The DOI matches its Crossref record.
Aptamers evolved from live cells as effective molecular probes for cancer study
Open accessAbstract
Using cell-based aptamer selection, we have developed a strategy to use the differences at the molecular level between any two types of cells for the identification of molecular signatures on the surface of targeted cells. A group of aptamers have been generated for the specific recognition of leukemia cells. The selected aptamers can bind to target cells with an equilibrium dissociation constant ( K d ) in the nanomolar-to-picomolar range. The cell-based selection process is simple, fast, straightforward, and reproducible, and, most importantly, can be done without prior knowledge of target molecules. The selected aptamers can specifically recognize target leukemia cells mixed with normal human bone marrow aspirates and can also identify cancer cells closely related to the target cell line in real clinical specimens. The cell-based aptamer selection holds a great promise in developing specific molecular probes for cancer diagnosis and cancer biomarker discovery.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Fluorescent chemical probes for accurate tumor diagnosis and targeting therapy
Gao, M., Yu, F., Lv, C., Choo, J., & Chen, L. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00908e · Cited by 827
Aptamer-based targeted therapy
Zhu, G., & Chen, X. (2018) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.08.005 · Cited by 522
Noncanonical Self-Assembly of Multifunctional DNA Nanoflowers for Biomedical Applications
Zhu, G., Hu, R., Zhao, Z., Chen, Z., Zhang, X., & Tan, W. (2013) · Journal of the American Chemical Society · doi:10.1021/ja406115e · Cited by 429
Self-citationWang, J., Zhu, G., You, M., Song, E., Shukoor, M. I., Zhang, K., Altman, M. B., Chen, Y., Zhu, Z., Huang, C. Z., et al. (2012) · ACS Nano · doi:10.1021/nn300694v · Cited by 357
Self-citationHuang, J., Li, Y., Orza, A., Lu, Q., Guo, P., Wang, L., Yang, L., & Mao, H. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201504185 · Cited by 292
Self-citation
Metadata
- Authors
- Shangguan, D., Li, Y., Tang, Z., Cao, Z. C., Chen, H. W., Mallikaratchy, P., Sefah, K., Yang, C. J., & Tan, W.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2006-08-08
- Volume
- 103
- Issue
- 32
- Pages
- 11838-11843
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2059281433
- Cited by
- 1,516
- References
- 0
- FWCI
- 16.33
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Aptamers evolved from live cells as effective molecular probes for cancer study. https://app.cochat.ai/papers/10.1073/pnas.0602615103
- The paper
- Shangguan, D., Li, Y., Tang, Z., Cao, Z. C., Chen, H. W., Mallikaratchy, P., Sefah, K., Yang, C. J., & Tan, W. (2006). Aptamers evolved from live cells as effective molecular probes for cancer study. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0602615103
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.