Multiplexed chromosome conformation capture sequencing for rapid genome-scale high-resolution detection of long-range chromatin interactions

R Stadhouders, P Kolovos, R Brouwer, J Zuin… - Nature protocols, 2013 - nature.com
R Stadhouders, P Kolovos, R Brouwer, J Zuin, A Van Den Heuvel, C Kockx, RJ Palstra
Nature protocols, 2013nature.com
Chromosome conformation capture (3C) technology is a powerful and increasingly popular
tool for analyzing the spatial organization of genomes. Several 3C variants have been
developed (eg, 4C, 5C, ChIA-PET, Hi-C), allowing large-scale mapping of long-range
genomic interactions. Here we describe multiplexed 3C sequencing (3C-seq), a 4C variant
coupled to next-generation sequencing, allowing genome-scale detection of long-range
interactions with candidate regions. Compared with several other available techniques, 3C …
Abstract
Chromosome conformation capture (3C) technology is a powerful and increasingly popular tool for analyzing the spatial organization of genomes. Several 3C variants have been developed (e.g., 4C, 5C, ChIA-PET, Hi-C), allowing large-scale mapping of long-range genomic interactions. Here we describe multiplexed 3C sequencing (3C-seq), a 4C variant coupled to next-generation sequencing, allowing genome-scale detection of long-range interactions with candidate regions. Compared with several other available techniques, 3C-seq offers a superior resolution (typically single restriction fragment resolution; approximately 1–8 kb on average) and can be applied in a semi-high-throughput fashion. It allows the assessment of long-range interactions of up to 192 genes or regions of interest in parallel by multiplexing library sequencing. This renders multiplexed 3C-seq an inexpensive, quick (total hands-on time of 2 weeks) and efficient method that is ideal for the in-depth analysis of complex genetic loci. The preparation of multiplexed 3C-seq libraries can be performed by any investigator with basic skills in molecular biology techniques. Data analysis requires basic expertise in bioinformatics and in Linux and Python environments. The protocol describes all materials, critical steps and bioinformatics tools required for successful application of 3C-seq technology.
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