表观遗传学
染色质
计算生物学
表观遗传学
组蛋白
生物
转录因子
仿形(计算机编程)
基因组学
单细胞分析
基因组
遗传学
细胞
计算机科学
DNA
DNA甲基化
基因表达
基因
操作系统
作者
Mohammad Salma,Charlotte Andrieu‐Soler,Virginie Deleuze,Éric Soler
标识
DOI:10.1016/j.bcmd.2023.102745
摘要
Genome-wide analysis of transcription factors and epigenomic features is instrumental to shed light on DNA-templated regulatory processes such as transcription, cellular differentiation or to monitor cellular responses to environmental cues. Two decades of technological developments have led to a rich set of approaches progressively pushing the limits of epigenetic profiling towards single cells. More recently, disruptive technologies using innovative biochemistry came into play. Assays such as CUT&RUN, CUT&Tag and variations thereof show considerable potential to survey multiple TFs or histone modifications in parallel from a single experiment and in native conditions. These are in the path to become the dominant assays for genome-wide analysis of TFs and chromatin modifications in bulk, single-cell, and spatial genomic applications. The principles together with pros and cons are discussed.
科研通智能强力驱动
Strongly Powered by AbleSci AI