The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Bispecific Aptamer Induced Artificial Protein-Pairing: A Strategy for Selective Inhibition of Receptor Function
Abstract
Cell surface receptors play a critical role in modulating intracellular signal transduction, making them important drug targets. However, it remains challenging to develop a selective and efficient strategy for regulating receptor function. Herein, we develop a strategy, called bispecific aptamer induced artificial protein-pairing, to selectively regulate receptor function. In this strategy, bispecific aptamer probes act as molecular mediators to bind to both a target receptor protein and a paired protein, which brings the two proteins into close proximity on the living cell membrane. Importantly, the paired proteins work not only as a cancer biomarker for enhancing cell selectivity but also as a blocking assistant to inhibit target receptor function via strong steric hindrance effect. Compared with single-aptamer-mediated regulation, the proposed bispecific aptamer probes afford substantial improvement in selective and efficient regulation of receptor function and downstream signaling pathways. This work offers a versatile methodology to design molecular mediators that can modulate receptor function, thereby providing a new way for developing novel therapeutic drugs.
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
Cites
The Amber biomolecular simulation programs
Case, D. A., Cheatham, T. E., Darden, T., Gohlke, H., Luo, R., Merz, K. M., Onufriev, A., Simmerling, C., Wang, B., & Woods, R. J. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20290 · Cited by 9,535
Comparative Protein Structure Modeling of Genes and Genomes
Martí-Renom, M. A., Stuart, A. C., Fiser, A., Sánchez, R., Melo, F., & Šali, A. (2000) · Annual Review of Biophysics and Biomolecular Structure · doi:10.1146/annurev.biophys.29.1.291 · Cited by 3,169
Structure of the human transferrin receptor-transferrin complex
Cheng, Y., Zak, O., Aisen, P., Harrison, S. C., & Walz, T. (2004) · Cell · doi:10.1016/s0092-8674(04)00130-8 · Cited by 571
Aptamer-based targeted therapy
Zhu, G., & Chen, X. (2018) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.08.005 · Cited by 522
Bispecific antibodies for cancer therapy: The light at the end of the tunnel?
Chames, P., & Baty, D. (2009) · mAbs · doi:10.4161/mabs.1.6.10015 · Cited by 336
Noman, M. Z., Buart, S., Van Pelt, J., Richon, C., Hasmim, M., Leleu, N., Suchorska, W. M., Jalil, A., Lecluse, Y., El Hage, F., et al. (2009) · The Journal of Immunology · doi:10.4049/jimmunol.0800854 · Cited by 183
Cited by
Xiong, Y., Zhang, J., Yang, Z., Mou, Q., Ma, Y., Xiong, Y., & Lu, Y. (2020) · Journal of the American Chemical Society · doi:10.1021/jacs.9b09211 · Cited by 689
Metadata
- Authors
- Wang, L., Liang, H., Sun, J., Liu, Y., Li, J., Li, J., Li, J., & Yang, H.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-08-05
- Volume
- 141
- Issue
- 32
- Pages
- 12673-12681
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2966746322
- Cited by
- 161
- References
- 6
- FWCI
- 5.01
- Type
- journal article
- Language
- en
- Open access
- closed
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: Bispecific Aptamer Induced Artificial Protein-Pairing: A Strategy for Selective Inhibition of Receptor Function. https://app.cochat.ai/papers/10.1021/jacs.9b05123
- The paper
- Wang, L., Liang, H., Sun, J., Liu, Y., Li, J., Li, J., Li, J., & Yang, H. (2019). Bispecific Aptamer Induced Artificial Protein-Pairing: A Strategy for Selective Inhibition of Receptor Function. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.9b05123
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.