染色质免疫共沉淀-测序(ChIP-Seq)技术及数据分析方法介绍

对ChIP-Seq技术的实验原理进行了介绍,而且对ChIP-Seq数据分析过程的每一个步骤都进行了详细的说明,对用到的程序给出了如何使用的例子.对ChIP-Seq数据分析时每一步使用到的不同软件进行了介绍和比较.     

Simulation of ChIP-Seq based on extra-sonication of IPed DNA fragments

The combination of chromatin immunoprecipitation with sequencing (ChIP-Seq) is an effective method for obtaining an in vivo genome-wide profile of the interaction of a protein with DNA. With the dramatic development of high-throughput short sequencing technologies, several new algorithms have been developed to process ChIP-Seq. However, the reported analytical tools for ChIP-Seq based on size selection of immunoprecipitated (IPed) DNA fragments are mainly adopted on the Solexa system. As a sequencer with the highest throughput, few studies of ChIP-Seq based on SOLiD system have been reported. The main difference of the SOLiD and Solexa systems exists in the length of DNA fragments during preparing sequencing libraries. The SOLiD system has relatively short DNA fragments if it processes a further sonication of IPed DNA fragments in order to meet the length requirement of DNA frag-ments for emulsion-PCR (ePCR). This work aims to investigate the influences of DNA fragment length on data analysis from ChIP-Seq. Previous studies show that typical bimodal peaks can be observed in Solexa ChIP-Seq data, but based on the analysis of the real SOLiD ChIP-Seq data in this study, we found that there were no double peaks with apparent reads shift in a local enriched region and the local reads distribution of peaks were tested by normal distribution. Using real and simulated ChIP-Seq data, three main ChIP-Seq algorithms (CisGenome, SISSRs and MACS) have been investigated. We found that algorithms developed for processing ChIP-Seq data generated from Solexa library protocol, cannot efficiently capture the feature of the ChIP-Seq data from SOLiD library. Misuse of those analytical tools would be a possible reason for failure of ChIP-Seq on the SOLiD system. Therefore, a new ChIP-Seq analytical strategy for an extra-sonication of IPed DNA fragments needs to be developed.     

小鼠NPC细胞RFX1ChIP-Seq数据分析

利用NCBI数据库中小鼠Embryonic Stem Cells(ESC)与Neural ProgenitorCells(NPC)的基因芯片结果及NPC时期的RFX1ChIP-Seq数据,进行有关RFX1的分析,结果表明:RFX1结合位点富集在1,2,4,5,7,9,11染色体上,Y染色体上最少,其他染色体上比较均衡;在基因组中结合位点分布区域主要在基因的promoter区域,约有53.2%,其次是intergentic,占22.5%,body区域,占13.1%,enhancer区域,占11.2%.说明RFX1是以结合在基因的promoter区为主要形式对目的基因进行调控.同时在DAVID数据库中用生物信息学方法探索了RFX1靶基因的生物学功能分类.