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Polymorphisms and Functional Analysis of the Intact Human Papillomavirus16 E2 Gene

Overview of attention for article published in Asian Pacific Journal of Cancer Prevention, January 2015
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Title
Polymorphisms and Functional Analysis of the Intact Human Papillomavirus16 E2 Gene
Published in
Asian Pacific Journal of Cancer Prevention, January 2015
DOI 10.7314/apjcp.2014.15.23.10255
Pubmed ID
Authors

Tipaya Ekalaksananan, Watcharapol Jungpol, Chuthamas Prasitthimay, Weerayut Wongjampa, Bunkerd Kongyingyoes, Chamsai Pientong

Abstract

High risk human papillomavirus (HR-HPV) E2 proteins play roles in transcriptional regulation and are commonly functionally disrupted when the HPV genome integrates into host chromosomes. Some 15-40% of cancer cases, however, contain an intact E2 gene or episomal HPV. In these cases, polymorphism of the E2 gene might be involved. This study aimed to determine polymorphisms of the E2 gene in episomal HPV16 detected in high grade squamous intraepithelial lesions and squamous cell carcinomas and altered functions compared to the E2 prototype. The E2 gene was amplified and sequenced. Two expression vectors containing E2 gene polymorphisms were constructed and transfected in SiHa and C33A cells, then E6 gene as well as Il- 10 and TNF-α expression was determined by quantitative RT-PCR. Expression vectors and reporter vectors containing the HPV16 long control region (LCR) were co-transfected and transcriptional activity was determined. The results showed that a total of 32 nucleotides and 23 amino acids were changed in all 20 cases of study, found in the transactivation (TA) domain, hinge (H) region and DNA binding (DB) domain with 14, 5 and 13 nucleotide positions. They mostly caused amino acid change. The expressing vectors containing different E2 gene polymorphisms showed E6 mRNA suppression, TNF-α mRNA suppression and IL-10 induction but no statistically significant differences when compared to the E2 prototype. Moreover, promoter activity in HPV16 LCR was not affected by E2 protein with different gene polymorphisms, in contrast to nucleotide variations in LCR that showed an effect on transcription activity. These results demonstrated that E2 gene polymorphisms of episomal HPV16 did not affect transcriptional regulation and suggested that nucleotide variation as well as epigenetic modification of the LCR might play a role in inducing malignant transformation of cells containing episomal HPV16.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 12%
Researcher 2 12%
Other 1 6%
Student > Bachelor 1 6%
Lecturer 1 6%
Other 2 12%
Unknown 8 47%
Readers by discipline Count As %
Medicine and Dentistry 5 29%
Nursing and Health Professions 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Economics, Econometrics and Finance 1 6%
Agricultural and Biological Sciences 1 6%
Other 0 0%
Unknown 8 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 January 2015.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Asian Pacific Journal of Cancer Prevention
#1,640
of 3,048 outputs
Outputs of similar age
#266,325
of 358,883 outputs
Outputs of similar age from Asian Pacific Journal of Cancer Prevention
#62
of 116 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,048 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 358,883 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.