ChIP-chip: considerations for the design, analysis, and application of genome-wide chromatin immunoprecipitation experiments

Chromatin immunoprecipitation (ChIP) is a well-established procedure to investigate interactions between proteins and DNA. Coupled with whole-genome DNA microarrays, ChIPS allow one to determine the entire spectrum of in vivo DNA binding sites for any given protein. The design and analysis of ChIP-microarray (also called ChIP-chip) experiments differ significantly from the conventions used for locus ChIP approaches and ChIP-chip experiments, and these differences require new methods of analysis. In this light, we review the design of DNA microarrays, the selection of controls, the level of repetition required, and other critical parameters for success in the design and analysis of ChIP-chip experiments, especially those conducted in the context of mammalian or other relatively large genomes.     

Additional targets of the Bacillus subtilis global regulator CodY identified by chromatin immunoprecipitation and genome-wide transcript analysis

Additional targets of CodY, a GTP-activated repressor of early stationary-phase genes in Bacillus subtilis, were identified by combining chromatin immunoprecipitation, DNA microarray hybridization, and gel mobility shift assays. The direct targets of CodY newly identified by this approach included regulatory genes for sporulation, genes that are likely to encode transporters for amino acids and sugars, and the genes for biosynthesis of branched-chain amino acids.     

Mixture modeling for genome-wide localization of transcription factors

Chromatin immunoprecipitation followed by DNA microarray analysis (ChIP-chip methodology) is an efficient way of mapping genome-wide protein-DNA interactions. Data from tiling arrays encompass DNA-protein interaction measurements on thousands or millions of short oligonucleotides (probes) tiling a whole chromosome or genome. We propose a new model-based method for analyzing ChIP-chip data. The proposed model is motivated by the widely used two-component multinomial mixture model of de novo motif finding. It utilizes a hierarchical gamma mixture model of binding intensities while incorporating inherent spatial structure of the data. In this model, genomic regions belong to either one of the following two general groups: regions with a local protein-DNA interaction (peak) and regions lacking this interaction. Individual probes within a genomic region are allowed to have different localization rates accommodating different binding affinities. A novel feature of this model is the incorporation of a distribution for the peak size derived from the experimental design and parameters. This leads to the relaxation of the fixed peak size assumption that is commonly employed when computing a test statistic for these types of spatial data. Simulation studies and a real data application demonstrate good operating characteristics of the method including high sensitivity with small sample sizes when compared to available alternative methods.     

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。     

A genome-wide survey on basic helix-loop-helix transcription factors in giant panda

The giant panda (Ailuropoda melanoleuca) is a critically endangered mammalian species. Studies on functions of regulatory proteins involved in developmental processes would facilitate understanding of specific behavior in giant panda. The basic helix-loop-helix (bHLH) proteins play essential roles in a wide range of developmental processes in higher organisms. bHLH family members have been identified in over 20 organisms, including fruit fly, zebrafish, mouse and human. Our present study identified 107 bHLH family members being encoded in giant panda genome. Phylogenetic analyses revealed that they belong to 44 bHLH families with 46, 25, 15, 4, 11 and 3 members in group A, B, C, D, E and F, respectively, while the remaining 3 members were assigned into "orphan". Compared to mouse, the giant panda does not encode seven bHLH proteins namely Beta3a, Mesp2, Sclerax, S-Myc, Hes5 (or Hes6), EBF4 and Orphan 1. These results provide useful background information for future studies on structure and function of bHLH proteins in the regulation of giant panda development.     

Use of protein biotinylation in vivo for chromatin immunoprecipitation

We describe a system designed to express biotinylated proteins in mammalian cells in vivo and its application to the study of protein-DNA interactions in vivo by chromatin immunoprecipitation (ChIP). The system is based on coexpression of the target protein fused to a short biotin acceptor domain together with the biotinylating enzyme BirA from Escherichia coli. The superior strength of the biotin-avidin interaction allows one to employ more stringent washing conditions in the ChIP protocol, resulting in a better signal/noise ratio.