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基因毒理学中的比较基因组杂交 (CGH):从基础到现代方法
Numrah Nisar1, Adi Baumgartner2
1York St John University, School of Health Sciences, Biomedical Science, Lord Mayor's Walk, York, UK.
Methods in molecular biology (Clifton, N.J.)
|November 22, 2025
概括
比较基因组杂交 (CGH) 通过检测遗传变化来推进毒理学和诊断. 新方法提高了精度和人类健康相关性,但成本和数据复杂性仍然是挑战.
科学领域:
- 基因组学就是基因组学.
- 毒理学 毒理学 毒理学
- 生物技术是生物技术.
背景情况:
- 比较基因组杂交 (CGH) 和数组CGH是诊断,瘤学和毒理学中已知的工具.
- 这些技术最初发现了染色体失衡,如瘤中的副本数变异 (CNVs).
- 它们的应用扩展到基因毒理学和毒基因组学,研究对有毒物质的基因反应.
研究的目的:
- 审查CGH技术的最新进展,并将其纳入毒理风险评估.
- 突出提高精度,细胞分辨率和实时毒理学数据的创新.
- 讨论CGH在毒理学中的挑战和未来方向.
主要方法:
- 阵列CGH与下一代测序 (NGS) 集成,以提高精度.
- 高密度的CGH阵列使单细胞分辨率成为可能.
- 结合CGH,毒基因组学和器官芯片模型进行组织特异性评估.
主要成果:
- 新的发展改善了细胞异质性和复杂的基因组重组的检测.
- 与器官芯片模型的整合增强了毒理学数据对人类健康的相关性.
- 由人工智能驱动的预测毒理学模型将毒基因组特征与临床结果相关联.
结论:
- CGH技术已经显著发展,在毒理学方面提供了更高的精度和洞察力.
- 尽管取得了进展,但高成本,数据处理需求和监管障碍需要进一步发展生物信息学和人工智能.
- 持续创新对于更广泛的采用和实现CGH在毒理学和风险评估方面的全部潜力至关重要.
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