ABSTRACT: Two HPV(+) head and neck cancer cell lines (UPCI-SCC-090, UM-SCC-104), one HPV(–) head and neck cancer cell line (FaDu) and one nasopharyngeal epithelial cell line (NP69SV40T) were subjected to RNA-seq analysis.
Project description:We analysed active enhancers in UPCI-SCC-090, UM-SCC-104, FaDu and NP69SV40T by performing ChIP-seq on H3K4me3, H3K4me1 and H3K27ac.
Project description:Oncogenic human papillomaviruses (HPVs) are associated with nearly all carcinomas of the uterine cervix and have also become an increasingly important factor in the etiology of a subset of oropharyngeal tumors. HPV-associated head and neck cancers (HNSCCs) have a distinct risk profile and appreciate a prognostic advantage compared to HPV-negative HNSCC. We analyzed the genome-wide expression patterns in two HPV(+) and two HPV(-) squamous cell carcinoma (SCC) cell lines. The Affymetrix Human Genome U133 Plus 2.0 Array platform was used to assess genome-wide expression differences between the HPV(+) and HPV(-) cell lines utilizing the RMA normalization package available for R. Cell lines analyzed: UM-SCC-4, UM-SCC-47, UM-SCC-74A, and CaSki.
Project description:Chromosomal instability is a hallmark of cancer and genes that display abnormal expression in chromosomally aberrant regions are likely to be key players in tumor progression. Identifying such driver genes from high-throughput data requires computational methods that are capable of integrating data from several sources and thereby enhance the reliability of driver gene identification. Hence, several algorithms that integrate copy number and expression data have been developed but their relative performance has not been assessed so far. We have compared 10 algorithms that integrate high-throughput copy number and transcriptomics data using simulated, cancer cell line and primary tumor data. Our results show that there are significant differences between the methods and their performance decreases significantly with small sample sets. Head and neck squamous cell carcinoma (HNSCC) cell lines from the tongue (UT-SCC-21,UT-SCC-24B, UT-SCC-30, UT-SCC-67, UT-SCC-73, UT-SCC-76A, UT-SCC-81, UT-SCC-87,UT-SCC-95) and larynx (UT-SCC-8, UT-SCC-11, UT-SCC-75) were provided by the Department of Otorhinolaryngology-Head and Neck Surgery at the Turku University Central Hospital (Turku, Finland). HNSCC cell lines SCC-4, SCC-9, SCC-25 and human skin keratinocyte HPV-16 E6/E7 transformed cell line CCD1106 KERTr was ordered from American Type Culture Collection (ATCC; Manassas, VA) and cultured according to the ATCC recommendations.
Project description:Oncogenic human papillomaviruses (HPVs) are associated with nearly all carcinomas of the uterine cervix and have also become an increasingly important factor in the etiology of a subset of oropharyngeal tumors. HPV-associated head and neck cancers (HNSCCs) have a distinct risk profile and appreciate a prognostic advantage compared to HPV-negative HNSCC. We analyzed the genome-wide expression patterns in two HPV(+) and two HPV(-) squamous cell carcinoma (SCC) cell lines.
Project description:To investigate the regulatory mechanisms and targets of the activation of NF-kB and inflammatory pathways, we treated HPV(-) head and neck cancer line UM-SCC 46 cells with TNFα and LTβ at different time points, and compared the gene expression by microarray. TNFα uniquely induced 172 genes, LTβ specifically induced 202 genes, while 155 genes were induced by both ligands. Total RNA samples were isolated from UM-SCC 46 cells after TNFα or LTβ treatment at different time points, and the gene expression were compared with untreated cell controls.
Project description:To investigate the regulatory mechanisms and targets of the activation of NF-kappaB and inflammatory pathways, we treated HPV(-) head and neck cancer line UM-SCC 46 cells with TNFα and LTβ at different time points, and compared the gene expression by microarray. TNFα uniquely induced 172 genes, LTβ specifically induced 202 genes, while 155 genes were induced by both ligands. Total RNA samples were isolated from UM-SCC 46 cells after TNFα or LTβ treatment at different time points, and the gene expression were compared with untreated cell controls.