增强子
计算生物学
染色质
表观遗传学
生物
增强子rna
基因组
基因
表观遗传学
转录因子
遗传学
基因表达
DNA甲基化
作者
Ramzan Umarov,Chung-Chau Hon
出处
期刊:Biochemical Society Transactions
[Portland Press]
日期:2023-10-13
卷期号:51 (5): 1975-1988
摘要
Enhancers are genomic regions that regulate gene transcription and are located far away from the transcription start sites of their target genes. Enhancers are highly enriched in disease-associated variants and thus deciphering the interactions between enhancers and genes is crucial to understanding the molecular basis of genetic predispositions to diseases. Experimental validations of enhancer targets can be laborious. Computational methods have thus emerged as a valuable alternative for studying enhancer–gene interactions. A variety of computational methods have been developed to predict enhancer targets by incorporating genomic features (e.g. conservation, distance, and sequence), epigenomic features (e.g. histone marks and chromatin contacts) and activity measurements (e.g. covariations of enhancer activity and gene expression). With the recent advances in genome perturbation and chromatin conformation capture technologies, data on experimentally validated enhancer targets are becoming available for supervised training of these methods and evaluation of their performance. In this review, we categorize enhancer target prediction methods based on their rationales and approaches. Then we discuss their merits and limitations and highlight the future directions for enhancer targets prediction.
科研通智能强力驱动
Strongly Powered by AbleSci AI