Whole-genome chromatin profiling from limited numbers of cells using nano-ChIP-seq

Chromatin immunoprecipitation (ChIP) combined with high-throughput sequencing (ChIP-seq) has become the gold standard for whole-genome mapping of protein-DNA interactions. However, conventional ChIP protocols necessitate the use of large numbers of cells, and library preparation steps associated with current high-throughput sequencing platforms require substantial amounts of DNA; both of these factors preclude the application of ChIP-seq technology to many biologically important but rare cell types. Here we describe a nano-ChIP-seq protocol that combines a high-sensitivity small-scale ChIP assay and a tailored procedure for generating high-throughput sequencing libraries from scarce amounts of ChIP DNA. In terms of the numbers of cells required, the method provides two to three orders of magnitude of improvement over the conventional ChIP-seq method and the entire procedure can be completed within 4 d.     

Automating ChIP-seq Experiments to Generate Epigenetic Profiles on 10,000 HeLa Cells

Chromatin immunoprecipitation followed by next generation sequencing (ChIP-seq) is a technique of choice for studying protein-DNA interactions. ChIP-seq has been used for mapping protein-DNA interactions and allocating histones modifications. The procedure is tedious and time consuming, and one of the major limitations is the requirement for high amounts of starting material, usually millions of cells. Automation of chromatin immunoprecipitation assays is possible when the procedure is based on the use of magnetic beads. Successful automated protocols of chromatin immunoprecipitation and library preparation have been specifically designed on a commercially available robotic liquid handling system dedicated mainly to automate epigenetic assays. First, validation of automated ChIP-seq assays using antibodies directed against various histone modifications was shown, followed by optimization of the automated protocols to perform chromatin immunoprecipitation and library preparation starting with low cell numbers. The goal of these experiments is to provide a valuable tool for future epigenetic analysis of specific cell types, sub-populations, and biopsy samples.     

Genome-Scale Validation of Deep-Sequencing Libraries

Chromatin immunoprecipitation followed by high-throughput (HTP) sequencing (ChIP-seq) is a powerful tool to establish protein-DNA interactions genome-wide. The primary limitation of its broad application at present is the often-limited access to sequencers. Here we report a protocol, Mab-seq, that generates genome-scale quality evaluations for nucleic acid libraries intended for deep-sequencing. We show how commercially available genomic microarrays can be used to maximize the efficiency of library creation and quickly generate reliable preliminary data on a chromosomal scale in advance of deep sequencing. We also exploit this technique to compare enriched regions identified using microarrays with those identified by sequencing, demonstrating that they agree on a core set of clearly identified enriched regions, while characterizing the additional enriched regions identifiable using HTP sequencing.