@article{oai:repo.qst.go.jp:00046751,
 author = {WANG, Fengling and BING, Zhitong and ZHANG, Yanan and AO, Bin and ZHANG, Sheng and YE, Caiyong and HE, Jinpeng and DING, Nan and YE, Wenling and XIONG, Jie and SUN, Jintu and Furusawa, Yoshiya and Zhou, Guangming and YANG, Lei and 古澤 佳也 and Ｚｈｏｕ Ｇｕａｎｇｍｉｎｇ},
 journal = {Journal of Radiation Research},
 month = {Feb},
 note = {Melanoma is a malignant tumor with high invasive and metastatic properties. Though radiation is the major therapy for melanoma, its radio-resistance has been shown to severely influence the clinical outcome. So it is imperative to enhance the sensitivity of uveal melanoma cells to radiotherapy. Previously, we found that the cell cycle of 92-1 uveal melanoma cells was suspended and remained unchanged for up to 5 days after exposure to 10 Gy of X-rays, which might be relevant to the high radio-sensitivity of 92-1 cells. To further investigate the cell cycle suspension-associated proteins, we employed two analyses with stable isotope labeling with amino acids in cell culture technology and two-dimensional liquid chromatography tandem mass spectrometry. Cells were incubated for 15 h or 48 h after irradiation with 10 Gy of X-rays. We identified a total of 737 proteins at 15 h (Group A) and 530 proteins at 48 h post-irradiation (Group B). The gene ontology biological pathway was used to obtain a systems level view of proteome changes in 92-1cells under cell cycle suspension. We further selected the significantly changed proteins for investigation of their potential contribution to cell cycle suspension, growth arrest and cell senescence. These proteins are involved in the cell cycle, stress response, glycolysis and the tricarboxylic acid cycle, etc. Our study expected to reveal potential marker proteins associated with cell suspension induced by irradiation, which might contribute to understanding the mechanism beyond the cell cycle suspension.},
 pages = {649--662},
 title = {Quantitative proteomic analysis for radiation-induced cell cycle suspension in 92-1 melanoma cell line},
 volume = {54},
 year = {2013}
}