| Title |
The Microbial Detection Array Combined with Random Phi29-Amplification Used as a Diagnostic Tool for Virus Detection in Clinical Samples
|
|---|---|
| Published in |
PLOS ONE, August 2011
|
| DOI | 10.1371/journal.pone.0022631 |
| Pubmed ID | |
| Authors |
Lena Erlandsson, Maiken W. Rosenstierne, Kevin McLoughlin, Crystal Jaing, Anders Fomsgaard |
| Abstract |
A common technique used for sensitive and specific diagnostic virus detection in clinical samples is PCR that can identify one or several viruses in one assay. However, a diagnostic microarray containing probes for all human pathogens could replace hundreds of individual PCR-reactions and remove the need for a clear clinical hypothesis regarding a suspected pathogen. We have established such a diagnostic platform for random amplification and subsequent microarray identification of viral pathogens in clinical samples. We show that Phi29 polymerase-amplification of a diverse set of clinical samples generates enough viral material for successful identification by the Microbial Detection Array, demonstrating the potential of the microarray technique for broad-spectrum pathogen detection. We conclude that this method detects both DNA and RNA virus, present in the same sample, as well as differentiates between different virus subtypes. We propose this assay for diagnostic analysis of viruses in clinical samples. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Italy | 1 | 2% |
| India | 1 | 2% |
| South Africa | 1 | 2% |
| Denmark | 1 | 2% |
| Mexico | 1 | 2% |
| Unknown | 54 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 43% |
| Student > Ph. D. Student | 12 | 20% |
| Student > Master | 5 | 8% |
| Student > Postgraduate | 4 | 7% |
| Student > Doctoral Student | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 6 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 51% |
| Biochemistry, Genetics and Molecular Biology | 10 | 16% |
| Medicine and Dentistry | 6 | 10% |
| Immunology and Microbiology | 3 | 5% |
| Arts and Humanities | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 8 | 13% |