Integrated analyses of microRNAs demonstrate their widespread influence on gene expression in high-grade serous ovarian carcinoma

• Main Authors: Creighton C.J., Hernandez-Herrera A., Jacobsen A., Levine D.A., Mankoo P., Schultz N., Du Y., Zhang Y., Larsson E., Sheridan R., Xiao W., Spellman P.T., Getz G., Wheeler D.A., Perou C.M., Gibbs R.A., Sander C., Hayes D.N., Gunaratne P.H.
• Other Authors: DEPT OF COMPUTER SCIENCE
• Format: Article
• Published: Public Library of Science 2020
• Subjects: microRNA; MIRN29 microRNA, human; 3' untranslated region; 5' untranslated region; article; cancer grading; cell proliferation; cell viability; controlled study; copy number variation; DNMT3A gene; DNMT3B gene; gene expression profiling; gene overexpression; genetic algorithm; genetic database; genetic heterogeneity; genetic transcription; hemizygosity; human; human cell; human tissue; in vitro study; oncogene; ovary carcinoma; overall survival; RNA methylation; serosa; breast; female; gene expression regulation; genetics; metabolism; neoplasm; ovary tumor; pathology; tumor cell line; 3' Untranslated Regions; Breast; Cell Line, Tumor; DNA Copy Number Variations; Female; Gene Expression Regulation, Neoplastic; Humans; MicroRNAs; Neoplasms, Cystic, Mucinous, and Serous; Ovarian Neoplasms
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/165573
• Institution: National University of Singapore

10.1371/journal.pone.0034546