Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Pathology
Mir-143 Acts As A Tumor Suppressor By Targeting N-Ras And Enhances Temozolomide-Induced Apoptosis In Glioma., Lin Wang, Zhu-Mei Shi, Cheng-Fei Jiang, Xue Liu, Qiu-Dan Chen, Xu Qian, Dong-Mei Li, Xin Ge, Xie-Feng Wang, Ling-Zhi Liu, Yong-Ping You, Ning Liu, Bing-Hua Jiang
Mir-143 Acts As A Tumor Suppressor By Targeting N-Ras And Enhances Temozolomide-Induced Apoptosis In Glioma., Lin Wang, Zhu-Mei Shi, Cheng-Fei Jiang, Xue Liu, Qiu-Dan Chen, Xu Qian, Dong-Mei Li, Xin Ge, Xie-Feng Wang, Ling-Zhi Liu, Yong-Ping You, Ning Liu, Bing-Hua Jiang
Department of Pathology, Anatomy, and Cell Biology Faculty Papers
Therapeutic applications of microRNAs (miRNAs) in RAS-driven glioma were valuable, but their specific roles and functions have yet to be fully elucidated. Here, we firstly report that miR-143 directly targets the neuroblastoma RAS viral oncogene homolog (N-RAS) and functions as a tumor-suppressor in glioma. Overexpression of miR-143 decreased the expression of N-RAS, inhibited PI3K/AKT, MAPK/ERK signaling, and attenuated the accumulation of p65 in nucleus of glioma cells. In human clinical specimens, miR-143 was downregulated where an adverse with N-RAS expression was observed. Furthermore, overexpression of miR-143 decreased glioma cell migration, invasion, tube formation and slowed tumor growth and angiogenesis in …
Network Analysis Of Circular Permutations In Multidomain Proteins Reveals Functional Linkages For Uncharacterized Proteins., Donald Adjeroh, Yue Jiang, Bing-Hua Jiang, Jie Lin
Network Analysis Of Circular Permutations In Multidomain Proteins Reveals Functional Linkages For Uncharacterized Proteins., Donald Adjeroh, Yue Jiang, Bing-Hua Jiang, Jie Lin
Department of Pathology, Anatomy, and Cell Biology Faculty Papers
Various studies have implicated different multidomain proteins in cancer. However, there has been little or no detailed study on the role of circular multidomain proteins in the general problem of cancer or on specific cancer types. This work represents an initial attempt at investigating the potential for predicting linkages between known cancer-associated proteins with uncharacterized or hypothetical multidomain proteins, based primarily on circular permutation (CP) relationships. First, we propose an efficient algorithm for rapid identification of both exact and approximate CPs in multidomain proteins. Using the circular relations identified, we construct networks between multidomain proteins, based on which we perform …