表观基因组
表观遗传学
表观遗传学
染色质
生物
DNA甲基化
组蛋白
计算生物学
后生
癌症
核小体
癌症表观遗传学
表型
生物信息学
癌症研究
遗传学
基因表达
基因
组蛋白甲基转移酶
作者
Dieter Weichenhan,Daniel B. Lipka,Pavlo Lutsik,Ashish Goyal,Christoph Plass
标识
DOI:10.1016/j.semcancer.2020.08.004
摘要
Epigenetic patterns in a cell control the expression of genes and consequently determine the phenotype of a cell. Cancer cells possess altered epigenomes which include aberrant patterns of DNA methylation, histone tail modifications, nucleosome positioning and of the three-dimensional chromatin organization within a nucleus. These altered epigenetic patterns are potential useful biomarkers to detect cancer cells and to classify tumor types. In addition, the cancer epigenome dictates the response of a cancer cell to therapeutic intervention and, therefore its knowledge, will allow to predict response to different therapeutic approaches. Here we review the current state-of-the-art technologies that have been developed to decipher epigenetic patterns on the genomic level and discuss how these methods are potentially useful for precision oncology.
科研通智能强力驱动
Strongly Powered by AbleSci AI