Zhonghua bing li xue za zhi = Chinese journal of pathology · 2007
[Identification of metastasis-associated proteins of ovarian cancer by proteomics].
Аннотация на английскомСтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Zhou Le, Yang Xiao-Feng, Wang Yan, Zhang Ying-Tao, Geng Yi-Ping, Si Lü-Sheng, Wang Yi-Li
Аннотация
OBJECTIVE: To investigate the differenal protein expression profiles of ovarian tumor cell lines with distinct metastatic abilities.
METHODS: The ovarian cancer cell line HO8910 and HO8910pm, derived from same parental cells but exhibited different metastatic ability, were investigated by two-dimensional gel electrophoresis (2-DE)-MALDI-TOF-MS proteomic approach.
RESULTS: Thirty-nine proteins were detected by 2-DE to have expression disparity levels over 2 folds between two cell lines. Eighteen of them were identified by MALDI-TOF-MS. The proteins are involved in apoptosis, extra cellular matrix (ECM), cytoskeleton, growth factor, glycolysis, protein metabolism and immune system.
CONCLUSION: The data are valuable for the identification of differentially expressed proteins involved in the biological behavior of human ovarian cancer.
METHODS: The ovarian cancer cell line HO8910 and HO8910pm, derived from same parental cells but exhibited different metastatic ability, were investigated by two-dimensional gel electrophoresis (2-DE)-MALDI-TOF-MS proteomic approach.
RESULTS: Thirty-nine proteins were detected by 2-DE to have expression disparity levels over 2 folds between two cell lines. Eighteen of them were identified by MALDI-TOF-MS. The proteins are involved in apoptosis, extra cellular matrix (ECM), cytoskeleton, growth factor, glycolysis, protein metabolism and immune system.
CONCLUSION: The data are valuable for the identification of differentially expressed proteins involved in the biological behavior of human ovarian cancer.