TGF-β induced epithelial-mesenchymal transition modeling

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 g...

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Bibliographic Details
Published in:Journal of physics. Conference series 2015-09, Vol.637 (1), p.12035
Main Authors: Xenitidis, P, Seimenis, I, Kakolyris, S, Adamopoulos, A
Format: Article
Language:English
Subjects:
Algorithms
Epithelium
Gene expression
Growth factors
Modelling
Physics
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Summary: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.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/637/1/012035