长期暴露于会通过转录组表达的决定性和随机性变化诱导人类HaCaT细胞的恶性转化
Mayukh Banerjee1, Sudhir Srivastava2, Shesh N Rai3
1Department of Pharmacology and Toxicology, University of Louisville, 505, S. Hancock Street, Louisville, KY 40202, USA; Center for Integrative Environmental Health Sciences, University of Louisville, 505, S. Hancock Street, Louisville, KY 40202, USA.
Toxicology and applied pharmacology
|February 19, 2024
概括
生物过程涉及随机 (随机) 和可预测 (决定性) 的变化. 这项研究量化了暴露如何影响癌症发育期间的随机基因表达,揭示了这两种变化类型的关键作用.
科学领域:
- 分子生物学分子生物学
- 癌症研究 癌症研究
- 计算生物学 计算生物学
背景情况:
- 生物过程表现出固有的随机性,影响癌症等复杂疾病.
- 当前的基因表达分析往往倾向于确定性变化,可能会忽视对致癌的随机贡献.
- 对癌症发展中的随机事件的系统研究仍然有限.
研究的目的:
- 量化慢性 (iAs) 暴露和传递时间对随机基因表达的影响.
- 在癌症发育阶段确定确定性与随机性表达的基因.
- 阐明癌症发生过程中随机和决定性变化之间的相互作用.
主要方法:
- 运用计算技术来分析基因表达数据.
- 使用生物变化系数作为对随机性的衡量.
- 使用均衡去除异常值数据来识别决定性和随机基因表达变化.
主要成果:
- 慢性IA暴露抑制了与传递相关的随机基因表达,在转化过程中促进细胞同质性.
- 暴露诱导了明显的决定性和随机的基因表达变化,影响了独特的生物途径.
- 确定性和随机性转录变化都被确定为致癌和瘤异质性的关键驱动因素.
结论:
- 随机基因表达在癌症发展中起着重要的,但往往被低估的作用.
- 暴露会调节随机和决定性基因表达模式,影响细胞转化.
- 了解随机和决定性变化对于理解致癌和瘤异质性至关重要.
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