The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
CELL-SELEX: Novel Perspectives of Aptamer-Based Therapeutics
Open accessAbstract
Aptamers, single stranded DNA or RNA molecules, generated by a method called SELEX (systematic evolution of ligands by exponential enrichment) have been widely used in various biomedical applications. The newly developed Cell-SELEX (cell based-SELEX) targeting whole living cells has raised great expectations for cancer biology, -therapy and regenerative medicine. Combining nanobiotechnology with aptamers, this technology opens the way to more sophisticated applications in molecular diagnosis. This paper gives a review of recent developments in SELEX technologies and new applications of aptamers.
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
Apoptosis in the Pathogenesis and Treatment of Disease
Thompson, C. B. (1995) · Science · doi:10.1126/science.7878464 · Cited by 6,524
Cited by
Keefe, A. D., Pai, S., & Ellington, A. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd3141 · Cited by 2,289
Targeted polymeric therapeutic nanoparticles: design, development and clinical translation
Kamaly, N., Xiao, Z., Valencia, P. M., Radovic-Moreno, A. F., & Farokhzad, O. C. (2012) · Chemical Society Reviews · doi:10.1039/c2cs15344k · Cited by 1,730
Aptamer to ErbB-2/HER2 enhances degradation of the target and inhibits tumorigenic growth
Mahlknecht, G., Maron, R., Mancini, M., Schechter, B., Sela, M., & Yarden, Y. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1302594110 · Cited by 169
Metadata
- Authors
- Guo, K.-T., Ziemer, G., Paul, A., & Wendel, H. P.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2008-04-24
- Volume
- 9
- Issue
- 4
- Pages
- 668-678
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W1963659626
- Cited by
- 169
- References
- 1
- FWCI
- 3.60
- Type
- journal article
- Language
- en
- Open access
- gold
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: CELL-SELEX: Novel Perspectives of Aptamer-Based Therapeutics. https://app.cochat.ai/papers/10.3390/ijms9040668
- The paper
- Guo, K.-T., Ziemer, G., Paul, A., & Wendel, H. P. (2008). CELL-SELEX: Novel Perspectives of Aptamer-Based Therapeutics. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms9040668
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.
