The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Multiplexed Detection of Protein Cancer Markers with Biobarcoded Nanoparticle Probes
Abstract
We have developed the chemistry for preparing a universal probe and the appropriate nano- and microparticle labels that can be used to do highly selective multiplexed detection of three protein cancer markers at low-femtomolar concentration in buffer and serum media. The approach relies on a new multiplexed version of the biobarcode amplification method and offers new opportunities for studying multiple protein markers in a single sample. This could lead to new forms of disease diagnosis and monitoring disease recurrence in a variety of settings.
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
Fluidity of Bound Hydration Layers
Raviv, U., & Klein, J. (2002) · Science · doi:10.1126/science.1074481 · Cited by 721
Emerging molecular markers of cancer
Sidransky, D. (2002) · Nature Reviews Cancer · doi:10.1038/nrc755 · Cited by 662
Cited by
Gold Nanoparticles for Biology and Medicine
Giljohann, D. A., Seferos, D. S., Daniel, W. L., Massich, M. D., Patel, P. C., & Mirkin, C. A. (2010) · Angewandte Chemie International Edition · doi:10.1002/anie.200904359 · Cited by 2,356
Self-citationLee, J., Han, M. S., & Mirkin, C. A. (2007) · Angewandte Chemie International Edition · doi:10.1002/anie.200700269 · Cited by 1,308
Self-citationPhysical Principles of Nanoparticle Cellular Endocytosis
Zhang, S., Gao, H., & Bao, G. (2015) · ACS Nano · doi:10.1021/acsnano.5b03184 · Cited by 1,103
Nano-Flares: Probes for Transfection and mRNA Detection in Living Cells
Seferos, D. S., Giljohann, D. A., Hill, H. D., Prigodich, A. E., & Mirkin, C. A. (2007) · Journal of the American Chemical Society · doi:10.1021/ja0776529 · Cited by 710
Self-citationBarcoded nanoparticles for high throughput in vivo discovery of targeted therapeutics
Dahlman, J. E., Kauffman, K. J., Xing, Y., Shaw, T. E., Mir, F. F., Dlott, C. C., Langer, R., Anderson, D. G., & Wang, E. T. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1620874114 · Cited by 335
Metadata
- Authors
- Stoeva, S. I., Lee, J.-S., Smith, J. E., Rosen, S. T., & Mirkin, C. A.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2006-06-09
- Volume
- 128
- Issue
- 26
- Pages
- 8378-8379
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2006175681
- Cited by
- 419
- References
- 2
- FWCI
- 13.14
- 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
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.