评论:癌症和神经发育障碍:多尺度推理和计算指南
Ruth Nussinov1,2, Bengi Ruken Yavuz3, Habibe Cansu Demirel4
1Computational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Cancer Innovation Laboratory, National Cancer Institute, Frederick, MD, United States.
Frontiers in cell and developmental biology
|July 17, 2024
概括
癌症和神经发育障碍有共同的分子路径. 对多个规模数据的计算分析揭示了共享突变如何导致不同的疾病,有助于为这些相互关联的疾病发现药物.
科学领域:
- 综合生物学和计算医学.
- 遗传学和分子病理学
- 神经科学和瘤学
背景情况:
- 癌症和神经发育障碍 (NDD) 之间的病因联系仍然不清楚,尽管有共同的遗传和分子基础.
- 患有NDD的个人,如自闭症和精神分裂症,表现出增加的癌症易感性.
- 了解这种联系需要一种超越特定器官或以疾病为中心的观点的多层面方法.
研究的目的:
- 探索癌症 (包括儿科瘤) 与NDD之间的新兴联系.
- 调查共享的分子路径,蛋白质和突变如何导致不同的临床表现.
- 突出计算策略在解读这些复杂的关系和促进药物发现的有用性.
主要方法:
- 综合性审查强调多个规模的数据集成.
- 对分子级数据的分析:基因突变,异型,3D结构,表达水平和染色质状态.
- 专注于用于识别连接,因果关系和预测临床结果的计算策略.
主要成果:
- 共享的分子因素对癌症和NDD都有贡献,解释了观察到的相关性.
- 对多层次分子数据的综合分析可以区分疾病机制,尽管它们有共同的起源.
- 计算方法对于剖析复杂性和确定治疗点至关重要.
结论:
- 癌症和NDD之间的联系植根于共同的分子生物学,需要综合研究.
- 对多学科数据的计算分析提供了一个强大的框架,用于理解不同病理与常见病因之间的差异.
- 这种方法对于推动药物发现和针对这些相互关联的疾病的个性化医疗至关重要.
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