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Published on: April 11, 2014
cChIP-seq: a robust small-scale method for investigation of histone modifications
Cristina Valensisi1, Jo Ling Liao2, Colin Andrus3
1Division of Medical Genetics, Department of Medicine, Department of Genome Sciences, Institute for Stem Cell and Regenerative Medicine, University of Washington School of Medicine, Seattle, WA, USA. cvalensi@uw.edu.
We developed carrier ChIP-seq (cChIP-seq), a method to map histone modifications using as few as 10,000 cells. This technique generates epigenomic maps equivalent to those from millions of cells, simplifying ChIP-seq for limited cell samples.
Area of Science:
- Epigenetics
- Genomics
- Molecular Biology
Background:
- Chromatin immunoprecipitation sequencing (ChIP-seq) is vital for mapping histone modifications and understanding gene regulation.
- Current ChIP-seq methods require large cell numbers, limiting their application in studies with scarce cellular material.
- Existing protocols to reduce cell input often necessitate extensive optimization for specific antibodies and cell types.
Purpose of the Study:
- To introduce a robust and facile method, carrier ChIP-seq (cChIP-seq), for performing ChIP-seq on limited cell amounts.
- To demonstrate that cChIP-seq can generate high-quality epigenomic maps comparable to standard methods using significantly fewer cells.
Main Methods:
- Developed cChIP-seq, which utilizes a DNA-free histone carrier to maintain reaction scale regardless of cell input.
- Applied cChIP-seq to profile H3K4me3, H3K4me1, and H3K27me3 modifications in K562 cells and H3K4me1 in H1 hESCs, starting with as few as 10,000 cells.
- Compared cChIP-seq data with reference epigenomic maps from the ENCODE project.
Main Results:
- Successfully generated epigenomic maps for multiple histone modifications from as few as 10,000 cells.
- cChIP-seq data closely recapitulated bulk ChIP-seq data generated from millions of cells (ENCODE project).
- Observed variations between small-scale and bulk data were attributed to lab-to-lab variability, not the reduced cell scale.
Conclusions:
- cChIP-seq provides data equivalent to epigenomic maps generated from three orders of magnitude more cells.
- The method offers a straightforward approach to scale down ChIP-seq to 10,000 cells without extensive optimization.
- The DNA-free carrier strategy is adaptable to various ChIP-seq protocols and chromatin modifications.
