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Cited by 2,390

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Nanoparticle-Based Bio-Bar Codes for the Ultrasensitive Detection of Proteins

Nam, Jwa-Min, Thaxton, C. Shad, Mirkin, Chad A.·2003·Science

Abstract

An ultrasensitive method for detecting protein analytes has been developed. The system relies on magnetic microparticle probes with antibodies that specifically bind a target of interest [prostate-specific antigen (PSA) in this case] and nanoparticle probes that are encoded with DNA that is unique to the protein target of interest and antibodies that can sandwich the target captured by the microparticle probes. Magnetic separation of the complexed probes and target followed by dehybridization of the oligonucleotides on the nanoparticle probe surface allows the determination of the presence of the target protein by identifying the oligonucleotide sequence released from the nanoparticle probe. Because the nanoparticle probe carries with it a large number of oligonucleotides per protein binding event, there is substantial amplification and PSA can be detected at 30 attomolar concentration. Alternatively, a polymerase chain reaction on the oligonucleotide bar codes can boost the sensitivity to 3 attomolar. Comparable clinically accepted conventional assays for detecting the same target have sensitivity limits of ∼3 picomdar, six orders of magnitude less sensitive than what is observed with this method.

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Metadata

Authors
Nam, J.-M., Thaxton, C. S., & Mirkin, C. A.
Venue
Science
Published
2003-09-26
Volume
301
Issue
5641
Pages
1884-1886
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1971428641
Cited by
2,390
References
16
FWCI
30.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nanoparticle-Based Bio-Bar Codes for the Ultrasensitive Detection of Proteins. https://app.cochat.ai/papers/10.1126/science.1088755
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Nam, J.-M., Thaxton, C. S., & Mirkin, C. A. (2003). Nanoparticle-Based Bio-Bar Codes for the Ultrasensitive Detection of Proteins. Science. https://doi.org/10.1126/science.1088755

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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