An overview of ChIP–seq, DNase-seq, ATAC-seq, MNase-seq and FAIRE–seq experiments.
看到六六博客有不错的,故直接转载:
- ATAC-Seq、ChIP-Seq、Dnase-Seq、MNase-Seq、FAIRE-Seq整体的分析思路一致,找到富集区域,对富集区域进行功能分析。
- ChIP-Seq是揭示特定转录因子或蛋白复合物的结合区域,实际是研究DNA和蛋白质的相互作用,利用抗体将蛋白质和DNA一起富集,并对富集到的DNA进行测序。
DNase-Seq、ATAC-Seq、FAIRE-Seq都是用来研究开放染色质区域。
- DNase-Seq是用的DNase I内切酶识别开放染色质区域,而ATAC-seq是用的Tn5转座酶,随后进行富集和扩增;
- FAIRE-Seq是先进行超声裂解,然后用酚-氯仿富集。
- MNase-Seq是用来鉴定核小体区域。
作者:六六_ryx
链接:https://www.jianshu.com/p/87bc2002e82c
來源:简书
图片来源:
Identifying and mitigating bias in next-generation sequencing methods for chromatin biology
摘要:
Next-generation sequencing (NGS) technologies have been used in diverse ways to investigate various aspects of chromatin biology by identifying genomic loci that are bound by transcription factors, occupied by nucleosomes or accessible to nuclease cleavage, or loci that physically interact with remote genomic loci. However, reaching sound biological conclusions from such NGS enrichment profiles requires many potential biases to be taken into account. In this Review, we discuss common ways in which biases may be introduced into NGS chromatin profiling data, approaches to diagnose these biases and analytical techniques to mitigate their effect.