Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Identification of host transcriptional networks showing concentration-dependent regulation by HPV16 E6 and E7 proteins in basal cervical squamous epithelial cells.


ABSTRACT: The W12 cell lineage recapitulates the early events in HPV-driven cervical cancer pathogenesis (which is impossible to investigate using clinical samples) and we are interested in characterising the host transcriptional events that occur at those early stages. Previous work in these cells has identified early biomarkers of cervical cancer (now in widespread commercial use) as well as critical pathways in cervical carcinogenesis. By taking a network-based approach to the whole transcriptome we have identified important master regulators of a tightly and quantitatively regulated expression response to HPV early gene expression. Briefly, transcriptional activity of 16 different clones form the W12 cell line were measured in parallel. Each clone has measured HPV early gene activity at mRNA and protein level, as well as cell growth rates as previously described in Scarpini et al 2014 J Pathol July; 233(3): 281–293 (PubmedID 24752734; DOI: 10.1002/path.4358; http://europepmc.org/articles/PMC4285939#b11).

ORGANISM(S): Homo sapiens

SUBMITTER: Stephen Smith 

PROVIDER: E-MTAB-4409 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Identification of host transcriptional networks showing concentration-dependent regulation by HPV16 E6 and E7 proteins in basal cervical squamous epithelial cells.

Smith Stephen P SP   Scarpini Cinzia G CG   Groves Ian J IJ   Odle Richard I RI   Coleman Nicholas N  

Scientific reports 20160726


Development of cervical squamous cell carcinoma requires increased expression of the major high-risk human-papillomavirus (HPV) oncogenes E6 and E7 in basal cervical epithelial cells. We used a systems biology approach to identify host transcriptional networks in such cells and study the concentration-dependent changes produced by HPV16-E6 and -E7 oncoproteins. We investigated sample sets derived from the W12 model of cervical neoplastic progression, for which high quality phenotype/genotype dat  ...[more]

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