HMPA:非正典体的开创性框架,从发现到功能洞察
Xinwan Su1,2,3, Chengyu Shi1,2,3, Fangzhou Liu1,2,3
1MOE Laboratory of Biosystem Homeostasis and Protection, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, West Lake District, Hangzhou, Zhejiang 310058, China.
Briefings in bioinformatics
|October 16, 2024
概括
研究人员使用蛋白质组和转录组数据确定了与癌症相关的新型微. 这本地图提供了对微的功能及其与癌症预后的联系的见解,有助于未来的研究.
科学领域:
- 类组学 类组学 类组学
- 癌症生物学 癌症生物学
- 生物信息学是一种生物信息学.
背景情况:
- 体学的进步揭示了具有编码潜力的微,其中一些与人类癌症有关.
- 综合癌症相关微的序列,结构和功能的系统分析尚未得到充分发展.
研究的目的:
- 开发一种工作流程,使用多omics数据分析与癌症相关的微.
- 识别新型微及其与癌症和临床结果的关联.
- 探索微在癌症中的生物作用和相互作用.
主要方法:
- 从大型公共队列 (3753个样本,8种癌症类型) 中重新分析了蛋白质组和转录组数据.
- 综合蛋白质学,转录学和临床结果数据.
- 采用深度学习框架来构建一个微-蛋白相互作用网络.
主要成果:
- 确定了19,586种新的微.
- 在癌症中发现3,065个微的失调,其中370个与预后有很强的关联.
- 揭示了微在多个生物过程中的参与,作为生物活性分子.
结论:
- 开发的地图表作为高通量微预测和功能性探索的基准.
- 提供了对癌症中微的生物机制的新见解.
- 人类微图谱 (HMPA) 是公开可用于研究的.
关键词:
功能性注释功能性注释质谱测量质谱测量质谱测量质谱测量质量测量质谱测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量微的数据库数据库.非经典的型.结构预测 结构预测更多相关视频
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