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探索乳腺瘤和相邻正常组织的蛋白质-蛋白质相互作用网络中的脆弱构件

Swapnil Kumar¹, Avantika Agrawal¹, Vaibhav Vindal¹

¹Department of Biotechnology & Bioinformatics, School of Life Sciences, University of Hyderabad, Hyderabad 500046, India.

Computational biology and chemistry

|August 24, 2025

概括

这项研究揭示了瘤邻近的正常组织 (TANT) 和乳腺癌亚型中的关键蛋白相互作用. 它可以识别易受伤害且具有影响力的蛋白质,

科学领域:

癌症学
系统生物学
生物信息学

背景情况:

瘤邻近的正常组织 (TANT) 在形态上是正常的,但代表健康和癌症组织之间的过渡状态.
在TANT中蛋白与蛋白相互作用 (PPI) 和它们与瘤组织的差异基本上是未知的.
了解这些相互作用对于理解癌症的发展和确定治疗点至关重要.

研究的目的:

研究TANT和各种乳腺癌亚型中的蛋白质-蛋白质相互作用 (PPI).
通过网络分析识别这些组织中的脆弱和有影响力的蛋白质.
探索这些已识别的蛋白与癌症发展的关联.

主要方法:

在TANT和乳腺瘤组织中具有差异表达基因的整合PPI数据.
重建了六个特定组织的PPI网络.
使用NetVA R套件进行应用网络影响和脆弱性分析.
对已识别的蛋白质进行了基因疾病关联的研究.

主要成果:

在所有六个组织网络中确定了134种易受伤害的蛋白质 (VPs),21种易受伤害的蛋白质对 (VPPs) 和94种影响蛋白质 (IPs).
发现了34种常见的枢纽蛋白和7种常见的瓶蛋白.
在已知癌症相关蛋白质 (如AR,BRCA1,ERBB2) 之间发现了显著的重叠.

结论:

网络脆弱性和影响分析揭示了与乳腺癌瘤发生有关的关键蛋白质和蛋白质复合体.
在TANT和各种乳腺癌亚型中都存在已知癌症驱动因素和潜在的新候选蛋白.
这项研究为了解TANT在癌症中的作用和开发向治疗提供了基础.

关键词:

乳腺癌的亚型逃逸速度的中心性影响分析网络漏洞分析蛋白质复合物与瘤相邻的正常组织易受影响的蛋白质

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