多尺度蛋白质网络系统地识别了七种癌症类型中的异常蛋白质相互作用和瘤调节剂
Won-Min Song1,2,3, Abdulkadir Elmas1,2,3, Richard Farias1,4
1Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1425 Madison Avenue, New York, NY, 10029, USA.
Journal of hematology & oncology
|December 16, 2023
概括
这项研究使用7种癌症的蛋白质组网络分析来确定关键的癌症途径和调节者. 它揭示了保存的蛋白质模块,并验证了新的治疗点,如RSL1D1,DDX21和SMC2.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 系统生物学 系统生物学
- 癌症研究 癌症研究
背景情况:
- 来自质谱学 (MS) 的全球蛋白质组数据可以阐明癌症功能模型.
- 在7种癌症类型的687个病例中进行了整合性蛋白质组网络分析.
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