Bioinformatic Studies to Predict MicroRNAs with the Potential of Uncoupling RECK Expression from Epithelial-Mesenchymal Transition in Cancer Cells.

Wang, Zhipeng; Murakami, Ryusuke; Yuki, Kanako; Yoshida, Yoko; Noda, Makoto.

Afiliação

Wang Z; Laboratory for Malignancy Control Research, Medical Innovation Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Murakami R; Department of Gynecology and Obstetrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yuki K; Laboratory for Malignancy Control Research, Medical Innovation Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yoshida Y; Laboratory for Malignancy Control Research, Medical Innovation Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Noda M; Laboratory for Malignancy Control Research, Medical Innovation Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan.; Department of Molecular Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

Cancer Inform ; 15: 91-102, 2016.

Article em En | MEDLINE | ID: mdl-27226706