Chromatin immunoprecipitation (ChIP): revisiting the efficacy of sample preparation, sonication, quantification of sheared DNA, and analysis via PCR

The "quantitative" ChIP, a tool commonly used to study protein-DNA interactions in cells and tissue, is a difficult assay often plagued with technical error. We present, herein, the process required to merge multiple protocols into a quick, reliable and easy method and an approach to accurately quantify ChIP DNA prior to performing PCR. We demonstrate that high intensity sonication for at least 30 min is required for full cellular disruption and maximum DNA recovery because ChIP lysis buffers fail to lyse formaldehyde-fixed cells. In addition, extracting ChIP DNA with chelex-100 yields samples that are too dilute for evaluation of shearing efficiency or quantification via nanospectrophotometry. However, DNA extracted from the Mock-ChIP supernatant via the phenol-chloroform-isoamyl alcohol (PCIA) method can be used to evaluate DNA shearing efficiency and used as the standard in a fluorescence-based microplate assay. This enabled accurate quantification of DNA in chelex-extracted ChIP samples and normalization to total DNA concentration prior to performing real-time PCR (rtPCR). Thus, a quick ChIP assay that can be completed in nine bench hours over two days has been validated along with a rapid, accurate and repeatable way to quantify ChIP DNA. The resulting rtPCR data more accurately depicts treatment effects on protein-DNA interactions of interest.     

染色质免疫沉淀技术在研究DNA与蛋白质相互作用中的应用

在后基因组时代,DNA-蛋白质的相互作用是研究基因表达调控的一个重要领域。与其他方法相比,染色质免疫沉淀技术（chromatin immunoprecipitation assay, ChIP）是一种在体内研究DNA-蛋白质相互作用的理想的方法。近年来这种方法与DNA芯片和分子克隆技术相结合,可用于高通量的筛选已知蛋白因子的未知DNA靶点和研究反式作用因子在整个基因组上的分布情况,这将有助于深入理解DNA-蛋白质相互作用的调控网络。总结了染色质免疫沉淀技术的方法,特别介绍了使用这些方法取得的最新进展。     

BioVyon Protein A, an alternative solid-phase affinity matrix for chromatin immunoprecipitation

Chromatin immunoprecipitation (ChIP) is an important technique in the study of DNA/protein interactions. The ChIP procedure, however, has limitations in that it is lengthy, can be inconsistent, and is prone to nonspecific binding of DNA and proteins to the bead-based solid-phase matrices that are often used for the immunoprecipitation step. In this investigation, we examined the utility of a new matrix for ChIP assays, BioVyon Protein A, a solid support based on porous polyethylene. In ChIP experiments carried out using two antibodies and seven DNA loci, the performance of BioVyon Protein A was significantly better, with a greater percentage of DNA pull-down in all of the assays tested compared with bead-based matrices, Protein A Sepharose, and Dynabeads Protein A. Furthermore, the rigid porous disc format within a column made the BioVyon matrix much easier to use with fewer steps and less equipment requirements, resulting in a significant reduction in the time taken to process the ChIP samples. In summary, BioVyon Protein A provides a column-based assay method for ChIP and other immunoprecipitation-based procedures; the rigid porous structure of BioVyon enables a fast and robust protocol with higher ChIP enrichment ratios.     

Comparison of sample preparation methods for ChIP-chip assays

A single chromatin immunoprecipitation (ChIP) sample does not provide enough DNA for hybridization to a genomic tiling array. A commonly used technique for amplifying the DNA obtained from ChIP assays is ligation-mediated PCR (LM-PCR). However; using this amplification method, we could not identify Oct4 binding sites on genomic tiling arrays representing 1% of the human genome (ENCODE arrays). In contrast, hybridization of a pool of 10 ChIP samples to the arrays produced reproducible binding patterns and low background signals. However the pooling method would greatly increase the number of ChIP reactions needed to analyze the entire human genome. Therefore, we have adapted the GenomePlex whole genome amplification (WGA) method for use in ChIP-chip assays; detailed ChIP and amplification protocols used for these analyses are provided as supplementary material. When applied to ENCODE arrays, the products prepared using this new method resulted in an Oct4 binding pattern similar to that from the pooled Oct4 ChIP samples. Importantly, the signal-to-noise ratio using the GenomePlex WGA method is superior to the LM-PCR amplification method.     

ChIP‐based methods for the identification of long‐range chromatin interactions

Chromatin immunoprecipitation (ChIP) is an important technique for studying protein–DNA interactions. Whole genome ChIP methods have enjoyed much success, but are limited in that they cannot uncover important long‐range chromatin interactions. Chromosome conformation capture (3C) and related methods are capable of detecting remote chromatin interactions, but are tedious, have low signal‐to‐noise ratios, and are not genome‐wide. Although the addition of ChIP to 3C (ChIP–3C) would conceivably reduce noise and increase specificity for chromatin interaction detection, there are concerns that simple mixing of the ChIP and 3C protocols would lead to high levels of false positives. In this essay, we dissect current ChIP‐ and 3C‐based methodologies, discuss the models of specific as opposed to non‐specific chromatin interactions, and suggest approaches to separate specific chromatin complexes from non‐specific chromatin fragments. We conclude that the combination of sonication‐based chromatin fragmentation, ChIP‐based enrichment, chromatin proximity ligation and Paired‐End Tag ultra‐high‐throughput sequencing will be a winning implementation for genome‐wide, unbiased and de novo discovery of long‐range chromatin interactions, which will help to establish an emerging field for studying human chromatin interactomes and genome regulation networks in three‐dimensional spaces. J. Cell. Biochem. 107: 30–39, 2009. © 2009 Wiley‐Liss, Inc.     

ChIP技术及其在基因组水平上分析DNA与蛋白质相互作用

染色质免疫沉淀(Chromatin immunoprecipitaion, ChIP)技术是分析细胞内生理状态下DNA结合蛋白与基因组DNA相互作用的技术。ChIP与高密度芯片(ChIP-chip)或高通量测序(ChIP-Seq)相结合能产生大量的研究数据, 在细胞的基因表达调控网络研究中发挥重要作用。文章主要介绍ChIP、ChIP-chip和ChIP-Seq的技术特点以及发展趋势, 重点讨论了ChIP-Seq数据分析方法及相关的应用实例。