The DOI matches its Crossref record.
Immunoassays with rolling circle DNA amplification: A versatile platform for ultrasensitive antigen detection
Open accessAbstract
We describe an adaptation of the rolling circle amplification (RCA) reporter system for the detection of protein Ags, termed “immunoRCA.” In immunoRCA, an oligonucleotide primer is covalently attached to an Ab; thus, in the presence of circular DNA, DNA polymerase, and nucleotides, amplification results in a long DNA molecule containing hundreds of copies of the circular DNA sequence that remain attached to the Ab and that can be detected in a variety of ways. Using immunoRCA, analytes were detected at sensitivities exceeding those of conventional enzyme immunoassays in ELISA and microparticle formats. The signal amplification afforded by immunoRCA also enabled immunoassays to be carried out in microspot and microarray formats with exquisite sensitivity. When Ags are present at concentrations down to fM levels, specifically bound Abs can be scored by counting discrete fluorescent signals arising from individual Ag–Ab complexes. Multiplex immunoRCA also was demonstrated by accurately quantifying Ags mixed in different ratios in a two-color, single-molecule-counting assay on a glass slide. ImmunoRCA thus combines high sensitivity and a very wide dynamic range with an unprecedented capability for single molecule detection. This Ag-detection method is of general applicability and is extendable to multiplexed immunoassays that employ a battery of different Abs, each labeled with a unique oligonucleotide primer, that can be discriminated by a color-coded visualization system. ImmunoRCA-profiling based on the simultaneous quantitation of multiple Ags should expand the power of immunoassays by exploiting the increased information content of ratio-based expression analysis.
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
Nanostructures in Biodiagnostics
Rosi, N. L., & Mirkin, C. A. (2005) · Chemical Reviews · doi:10.1021/cr030067f · Cited by 4,603
Nanoparticle-Based Bio-Bar Codes for the Ultrasensitive Detection of Proteins
Nam, J.-M., Thaxton, C. S., & Mirkin, C. A. (2003) · Science · doi:10.1126/science.1088755 · Cited by 2,390
Protein Immobilization Strategies for Protein Biochips
Rusmini, F., Zhong, Z., & Feijen, J. (2007) · Biomacromolecules · doi:10.1021/bm061197b · Cited by 869
Wang, F., Lu, C.-H., & Willner, I. (2014) · Chemical Reviews · doi:10.1021/cr400354z · Cited by 649
The Chemical Biology of Aptamers
Mayer, G. (2009) · Angewandte Chemie International Edition · doi:10.1002/anie.200804643 · Cited by 592
Metadata
- Authors
- Schweitzer, B., Wiltshire, S., Lambert, J., O'Malley, S., Kukanskis, K., Zhu, Z., Kingsmore, S. F., Lizardi, P. M., & Ward, D. C.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2000-08-22
- Volume
- 97
- Issue
- 18
- Pages
- 10113-10119
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2040172043
- Cited by
- 597
- References
- 0
- FWCI
- 9.12
- 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: Immunoassays with rolling circle DNA amplification: A versatile platform for ultrasensitive antigen detection. https://app.cochat.ai/papers/10.1073/pnas.170237197
- The paper
- Schweitzer, B., Wiltshire, S., Lambert, J., O'Malley, S., Kukanskis, K., Zhu, Z., Kingsmore, S. F., Lizardi, P. M., & Ward, D. C. (2000). Immunoassays with rolling circle DNA amplification: A versatile platform for ultrasensitive antigen detection. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.170237197
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.