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CMAtlas:一个全面的DNA甲基化图谱,用于探索34种人类癌症类型的表观遗传变化
Mengni Liu1,2, Lizhen Jiang1,3,4, Luowanyue Zhang2
1Clinical Big Data Research Center, Scientific Research Center, Shenzhen Key Laboratory of Bone Tissue Repair and Translational Research, Department of Orthopaedic Surgery, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China.
Bioinformatics (Oxford, England)
|January 14, 2026
概括
CMAtlas是癌症甲基化数据的新资源,整合了各种样本和技术. 它识别了许多瘤特异性和癌症类型特异性甲基化特征,有助于精确瘤学.
科学领域:
- 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
- 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:
- 异常的DNA甲基化是癌症的一个关键标志.
- 现有的资源缺乏技术多样性和全面的癌症覆盖.
- 大多数平台都没有整合多主题数据,也没有针对癌症类型的特定甲基化.
研究的目的:
- 为癌症甲基化数据分析开发一个全面的平台.
- 整合多样化的数据集和多领域信息.
- 通过提供癌症类型特定的甲基化特征,促进精确瘤学和药物发现.
主要方法:
- 开发了CMAtlas,整合了34种癌症类型的13,753个样本.
- 应用技术量身定制的管道来识别差异甲基化元素 (DMEs) 和区域 (DMRs).
- 附注的DME和DMR与多omics数据 (RNA表达,突变,染色质可访问性) 和临床相关性.
主要成果:
- 确定了830,725种瘤特异性DME和1,480,098种DMR.
- 确定了1,154,256种特定于癌症类型的DME和329,154种DMR.
- 在瘤组织和细胞系之间展示了高的跨平台一致性和一致性.
- 通过识别结直肠癌驱动基因中的预后异常甲基化来展示实用性.
结论:
- CMAtlas为癌症甲基化研究提供了一个强大而全面的资源.
- 该平台促进了深入的多学科整合和癌症类型特定甲基化的分析.
- 通过其广泛的数据和分析工具,CMAtlas支持精密瘤学和药物发现.
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