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Cited by 750

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Multiplex PCR for Detection of Genes for Staphylococcus aureus Enterotoxins, Exfoliative Toxins, Toxic Shock Syndrome Toxin 1, and Methicillin Resistance

Open access
Mehrotra, Manisha, Wang, Gehua, Johnson, Wendy M.·2000·Journal of Clinical Microbiology

Abstract

A multiplex PCR assay for detection of genes for staphylococcal enterotoxins A to E ( entA , entB , entC , entD , and entE ), toxic shock syndrome toxin 1 ( tst ), exfoliative toxins A and B ( etaA and etaB ), and intrinsic methicillin resistance ( mecA ) was developed. Detection of femA was used as an internal positive control. The multiplex PCR assay combined the primers for sea to see and femA in one set and those for eta , etb , tst , mecA , and femA in the other set. Validation of the assay was performed using 176 human isolates of Staphylococcus aureus . This assay offers a very specific, quick, reliable, and inexpensive alternative to conventional PCR assays used in clinical laboratories to identify various staphylococcal toxin genes.

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Crossref · 10.1128/jcm.38.3.1032-1035.2000

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Metadata

Authors
Mehrotra, M., Wang, G., & Johnson, W. M.
Venue
Journal of Clinical Microbiology
Published
2000-03
Volume
38
Issue
3
Pages
1032-1035
ISSN
  • 0095-1137 (ISSN-L)
  • 1098-660X
OpenAlex
W2102419473
Cited by
750
References
0
FWCI
2.59
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Multiplex PCR for Detection of Genes for Staphylococcus aureus Enterotoxins, Exfoliative Toxins, Toxic Shock Syndrome Toxin 1, and Methicillin Resistance. https://app.cochat.ai/papers/10.1128/jcm.38.3.1032-1035.2000
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Mehrotra, M., Wang, G., & Johnson, W. M. (2000). Multiplex PCR for Detection of Genes for Staphylococcus aureus Enterotoxins, Exfoliative Toxins, Toxic Shock Syndrome Toxin 1, and Methicillin Resistance. Journal of Clinical Microbiology. https://doi.org/10.1128/jcm.38.3.1032-1035.2000

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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.