Title |
Unbiased Approach for Virus Detection in Skin Lesions
|
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Published in |
PLOS ONE, June 2013
|
DOI | 10.1371/journal.pone.0065953 |
Pubmed ID | |
Authors |
Davit Bzhalava, Hanna Johansson, Johanna Ekström, Helena Faust, Birgitta Möller, Carina Eklund, Peter Nordin, Bo Stenquist, John Paoli, Bengt Persson, Ola Forslund, Joakim Dillner |
Abstract |
To assess presence of virus DNA in skin lesions, swab samples from 82 squamous cell carcinomas of the skin (SCCs), 60 actinic keratoses (AKs), paraffin-embedded biopsies from 28 SCCs and 72 kerathoacanthomas (KAs) and fresh-frozen biopsies from 92 KAs, 85 SCCs and 92 AKs were analyzed by high throughput sequencing (HTS) using 454 or Ion Torrent technology. We found total of 4,284 viral reads, out of which 4,168 were Human Papillomavirus (HPV)-related, belonging to 15 known (HPV8, HPV12, HPV20, HPV36, HPV38, HPV45, HPV57, HPV59, HPV104, HPV105, HPV107, HPV109, HPV124, HPV138, HPV147), four previously described putative (HPV 915 F 06 007 FD1, FA73, FA101, SE42) and two putatively new HPV types (SE46, SE47). SE42 was cloned, sequenced, designated as HPV155 and found to have 76% similarity to the most closely related known HPV type. In conclusion, an unbiased approach for viral DNA detection in skin tumors has found that, although some new putative HPVs were found, known HPV types constituted most of the viral DNA. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Netherlands | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 2% |
Unknown | 45 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 20% |
Researcher | 7 | 15% |
Other | 6 | 13% |
Student > Postgraduate | 5 | 11% |
Student > Master | 5 | 11% |
Other | 4 | 9% |
Unknown | 10 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 20 | 43% |
Biochemistry, Genetics and Molecular Biology | 5 | 11% |
Medicine and Dentistry | 5 | 11% |
Computer Science | 1 | 2% |
Environmental Science | 1 | 2% |
Other | 2 | 4% |
Unknown | 12 | 26% |