TGF-β induced epithelial-mesenchymal transition modeling

[摘要] Epithelial cells may undergo a process called epithelial to mesenchymal transition (EMT). During EMT, cells lose their epithelial characteristics and acquire a migratory ability. Transforming growth factor-beta (TGF-β) signaling is considered to play an important role in EMT by regulating a set of genes through a gene regulatory network (GRN). This work aims at TGF-β induced EMT GRN modeling using publicly available experimental data (gene expression microarray data). The time-series network identification (TSNI) algorithm was used for inferring the EMT GRN. Receiver operating characteristic (ROC) and precision-recall (P-R) curves were constructed and the areas under them were used for evaluating the algorithm performance regarding network inference.

[发布机构] Medical Physics Lab, School of Medicine, Democritus University of Thrace, Alexandroupolis, Greece^1;Department of Medical Oncology, School of Medicine, Democritus University of Thrace, Alexandroupolis, Greece^2

[效力级别] 医药卫生 [学科分类] 卫生学

[关键词] Algorithm performance;Epithelial to Mesenchymal transitions;Epithelial-mesenchymal transition;Gene expression microarray;Gene regulatory networks;Network inference;Receiver operating characteristics;Transforming growth factor beta