@article{fca892940b744115805befa0b2ce2b0b,
title = "Effect of Epstein-Barr virus infection on global gene expression in nasopharyngeal carcinoma",
abstract = "It was proposed that Epstein-Barr virus (EBV) is closely associated with nasopharyngeal carcinoma (NPC); however, the molecular mechanisms involved in the effect of EBV on NPC host genes have not yet been well defined. For this study, two sets of microarray experiments, NPC (EBV-free) vs normal epithelial cells and EBV+ vs EBV- NPC arrays, were analyzed and the datasets were cross-compared to identify any correlation between gene clusters involved in EBV targeting and the NPC host gene expression profiles. Statistical analysis revealed that EBV seems to have a preference for targeting more genes from the differentially expressed group in NPC cells than those from the ubiquitously expressed group. Furthermore, this trend is also reflected in log ratios where the EBV target genes of the differentially expressed group origin showed greater log ratios than genes with an origin from the ubiquitously expressed NPC group. Taken together, the genome-wide comparative scanning of EBV and NPC transcriptomes has successfully demonstrated that EBV infection has an intensifying effect on the signals involved in NPC gene expression both in breadth (the majority of the genes) and in depth (greater log ratios).",
keywords = "Epstein-Barr virus (EBV), Nasopharyngeal carcinoma (NPC), Quantitative real-time reverse transcriptase polymerase chain reaction (Q-RT-PCR), Transcriptomes",
author = "Lee, {Yuan Chii Gladys} and Hwang, {Yu Chyi} and Chen, {Kuang Chi} and Lin, {Yong Shiang} and Huang, {Dah Yeou} and Huang, {Tao Wei} and Kao, {Cheng Yan} and Wu, {Han Chung} and Lin, {Chin Tarng} and Huang, {Chi Ying F.}",
note = "Funding Information: Acknowledgements The authors wish to thank Dr. S. K. Liao of Chang-Gung University for providing the NPC-CGBM1 cell lines and Dr. C. M. Liu of National Taiwan University Hospital for the surgical specimens of nasal polyps. They would also like to thank Dr. Shih-Lan Hsu, Dr. Fen-Hwa Wong, Dr. Hsiao-Sheng Liu, Dr. Jenn-Han Chen, Dr. Cheng-Yang Chou, Dr. Li-Wha Wu, Dr. A-Min Huang, Dr. Wey-Jinq Lin, Dr. King-Song Jeng, and Dr. Nan-Haw for their contributions to common reference RNA mixtures, and Dr. F{\"A}tima Al-Shahrour for allowing them to use the FatiGO algorithm. A special thank goes to Dr. Andrew Su (Genomics Institute of Novartis Research Foundation), Dr. Su-Fang Lin (National Health Research Institutes), Dr. Hung-Wen Chiu (Taipei Medical University), and Yang C. Fann (National Institute of Neurological Disorders and Stroke, National Institutes of Health) for the critical reading and inspiring comments on the manuscript. This research was supported, in part, by grants from the National Science Council (NSC93-3112-B-002-038 and NSC93-2320-B-002-112), the National Health Research Institutes (NHRI-EX92-9014BL), and the National Taiwan University Hospital (NTUH-92-S057, 93-S080, and 93A10-2) to C.-T. Lin; National Health Research Institutes and National Science Council (NRPGM: NSC93-3112-B-400-001) to C.-F. Huang; and National Science Council (NSC93-2320-B-038-043) and Topnotch Stroke Research Center Grant (Ministry of Education) to Y.-C. G. Lee. Yuan-Chii Gladys Lee and Yu-Chyi Hwang contributed equally to this work.",
year = "2007",
month = jan,
doi = "10.1007/s10142-006-0035-2",
language = "English",
volume = "7",
pages = "79--93",
journal = "Functional and Integrative Genomics",
issn = "1438-793X",
publisher = "Springer Verlag",
number = "1",
}