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ChIP-sequencing, also known as ChIP-seq, is a method used to analyze protein interactions with DNA. ChIP-seq combines chromatin immunoprecipitation (ChIP) with massively parallel DNA sequencing to identify the binding sites of DNA-associated proteins. It can be used to map global binding sites precisely for any protein of interest.
Recent advances in chromatin immunoprecipitation followed by sequencing have provided powerful ways to identify genome-wide profiling of DNA-binding proteins and histone modifications. [ 1 ] [ 2 ] The application of ChIP-seq methods has reliably discovered transcription factor binding sites and histone modification sites.
The cost and accessibility of ChIP-seq is a major disadvantage, which has led to the more predominant use of ChIP-chip in laboratories across the world. [2] This photo compares the efficacy of the two experimental techniques, ChIP-seq and ChIP-chip. Table 1 Advantages and disadvantages of NChIP and XChIP
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Example of an approximately 40,000 probe spotted oligo microarray with enlarged inset to show detail. Microarray analysis techniques are used in interpreting the data generated from experiments on DNA (Gene chip analysis), RNA, and protein microarrays, which allow researchers to investigate the expression state of a large number of genes – in many cases, an organism's entire genome – in a ...
The term was coined by The Economist [3] and is named after author Rob Carlson. [1]Carlson curves illustrate the rapid (in some cases above exponential growth) decreases in cost, and increases in performance, of a variety of technologies, including DNA sequencing, DNA synthesis and a range of physical and computational tools used in protein production and in determining protein structures.
The ChIA-PET method combines ChIP-based methods, [2] and Chromosome conformation capture (3C) based methods, [3] to extend the capabilities of both approaches. ChIP-Sequencing (ChIP-Seq) is a popular method used to identify transciption factor binding sites (TFBS) while 3C has been used to identify long-range chromatin interactions.
Wilbanks and colleagues [3] is a survey of the ChIP-seq peak callers, and Bailey et al. [4] is a description of practical guidelines for peak calling in ChIP-seq data. Peak calling may be conducted on transcriptome/exome as well to RNA epigenome sequencing data from MeRIPseq [ 5 ] or m6Aseq [ 6 ] for detection of post-transcriptional RNA ...