作者: Neda Mosakhani , Mohamed Guled , Gayle Leen , Silvia Calabuig-Fariñas , Tarja Niini
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摘要: Xenografts have been shown to provide a suitable source of tumor tissue for molecular analysis in the absence primary material. We utilized ES xenograft series integrated microarray analyses identify novel biomarkers. Microarray technology (array comparative genomic hybridization (aCGH) and micro RNA arrays) was used screen copy number changes differentially expressed miRNAs 34 14 passages, respectively. Incubated cells xenografting (Passage 0) were considered represent tumor. Four important (miR-31, miR-31*, miR-145, miR-106) selected further validation by real time polymerase chain reaction (RT-PCR). Integrated aCGH miRNA data performed on passages bioinformatic methods. The most frequent losses gains DNA detected at 9p21.3, 16q 8, 15, 17q21.32-qter, 1q21.1-qter, presence these alterations consistent all passages. profiles each resembled their corresponding tumors (passage 0). MiR-21, miR-31, miR-106b, miR-150*, miR-371-5p, miR-557 miR-598 showed recurrently altered expression. These miRNAS predicted regulate many ES-associated genes, such as genes IGF1 pathway, EWSR1, FLI1 fusion gene (EWS-FLI1). Twenty pinpointed regions carrying numbers. In present study, xenografts successfully applied analyses. Our findings expression that associated pathway FLI1, EWS-FLI1 genes.