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Cited by 218

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Quantitative Multiprobe PCR Assay for Simultaneous Detection and Identification to Species Level of Bacterial Pathogens

Open access
Yang, Samuel, Lin, Shin, Kelen, Gabor D., Quinn, Thomas C., Dick, James D., Gaydos, Charlotte A., Rothman, Richard E.·2002·Journal of Clinical Microbiology

Abstract

We describe a novel adaptation of the TaqMan PCR assay which potentially allows for highly sensitive detection of any eubacterial species with simultaneous species identification. Our system relies on a unique multiprobe design in which a single set of highly conserved sequences encoded by the 16S rRNA gene serves as the primer pair and is used in combination with both an internal highly conserved sequence, the universal probe, and an internal variable region, the species-specific probe. A pre-PCR ultrafiltration step effectively decontaminates or removes background DNA. The TaqMan system described reliabAly detected 14 common bacterial species with a detection limit of 50 fg. Further, highly sensitive and specific pathogen detection was demonstrated with a prototype species-specific probe designed to detect Staphylococcus aureus . This assay has broad potential in the clinical arena for rapid and specific diagnosis of infectious diseases.

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Crossref · 10.1128/jcm.40.9.3449-3454.2002

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Metadata

Authors
Yang, S., Lin, S., Kelen, G. D., Quinn, T. C., Dick, J. D., Gaydos, C. A., & Rothman, R. E.
Venue
Journal of Clinical Microbiology
Published
2002-09
Volume
40
Issue
9
Pages
3449-3454
ISSN
  • 0095-1137 (ISSN-L)
  • 1098-660X
OpenAlex
W2145233046
Cited by
218
References
1
FWCI
3.47
Type
journal article
Language
en
Open access
green

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The paper
Yang, S., Lin, S., Kelen, G. D., Quinn, T. C., Dick, J. D., Gaydos, C. A., & Rothman, R. E. (2002). Quantitative Multiprobe PCR Assay for Simultaneous Detection and Identification to Species Level of Bacterial Pathogens. Journal of Clinical Microbiology. https://doi.org/10.1128/jcm.40.9.3449-3454.2002

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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.