染色质免疫沉淀
DNA微阵列
芯片对芯片
芯片排序
染色质
生物
DNA
免疫沉淀
基因组
计算生物学
分子生物学
基因
遗传学
基因表达
染色质重塑
发起人
作者
Tong Ihn Lee,Sarah E. Johnstone,Richard A. Young
出处
期刊:Nature Protocols
[Springer Nature]
日期:2006-07-13
卷期号:1 (2): 729-748
被引量:714
标识
DOI:10.1038/nprot.2006.98
摘要
Genome-wide location analysis, also known as ChIP-Chip, combines chromatin immunoprecipitation and DNA microarray analysis to identify protein-DNA interactions that occur in living cells. Protein-DNA interactions are captured in vivo by chemical crosslinking. Cell lysis, DNA fragmentation and immunoaffinity purification of the desired protein will co-purify DNA fragments that are associated with that protein. The enriched DNA population is then labeled, combined with a differentially labeled reference sample and applied to DNA microarrays to detect enriched signals. Various computational and bioinformatic approaches are then applied to normalize the enriched and reference channels, to connect signals to the portions of the genome that are represented on the DNA microarrays, to provide confidence metrics and to generate maps of protein-genome occupancy. Here, we describe the experimental protocols that we use from crosslinking of cells to hybridization of labeled material, together with insights into the aspects of these protocols that influence the results. These protocols require approximately 1 week to complete once sufficient numbers of cells have been obtained, and have been used to produce robust, high-quality ChIP-chip results in many different cell and tissue types.
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