The DOI matches its Crossref record.
Modular Aptameric Sensors
Abstract
We report the first examples of modular aptameric sensors, which transduce recognition events into fluorescence changes through allosteric regulation of noncovalent interactions with a fluorophore. These sensors consist of: (a) a reporting domain, which signals the binding event of an analyte through binding to a fluorophore; (b) a recognition domain, which binds the analyte; and (c) a communication module, which serves as a conduit between recognition and signaling domains. We tested recognition regions specific for ATP, FMN, and theophylline in combinations with malachite green binding aptamer as a signaling domain. In each case, we were able to obtain a functional sensor capable of responding to an increase in analyte concentration with an increase in fluorescence. Similar constructs that consist only of natural RNA could be expressed in cells and used as sensors for intracellular imaging.
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
Applications of Aptamers as Sensors
Cho, E. J., Lee, J.-W., & Ellington, A. D. (2009) · Annual Review of Analytical Chemistry · doi:10.1146/annurev.anchem.1.031207.112851 · Cited by 788
In Vitro Selection of Structure‐Switching Signaling Aptamers
Nutiu, R., & Li, Y. (2005) · Angewandte Chemie International Edition · doi:10.1002/anie.200461848 · Cited by 455
Optical aptasensors for quantitative detection of small biomolecules: A review
Feng, C., Dai, S., & Wang, L. (2014) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2014.03.014 · Cited by 300
Size, constant sequences, and optimal selection
LEGIEWICZ, M., LOZUPONE, C., KNIGHT, R., & YARUS, M. (2005) · RNA · doi:10.1261/rna.2161305 · Cited by 69
Emerging affinity-based techniques in proteomics
Xie, S., Moya, C., Bilgin, B., Jayaraman, A., & Walton, S. P. (2009) · Expert Review of Proteomics · doi:10.1586/epr.09.74 · Cited by 38
Metadata
- Authors
- Stojanovic, M. N., & Kolpashchikov, D. M.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2004-07-08
- Volume
- 126
- Issue
- 30
- Pages
- 9266-9270
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2001266050
- Cited by
- 322
- References
- 0
- FWCI
- 6.34
- 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: Modular Aptameric Sensors. https://app.cochat.ai/papers/10.1021/ja032013t
- The paper
- Stojanovic, M. N., & Kolpashchikov, D. M. (2004). Modular Aptameric Sensors. Journal of the American Chemical Society. https://doi.org/10.1021/ja032013t
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.