Abstract
Chromosome conformation capture (3C) techniques are crucial to understanding tissue-specific regulation of gene expression, but current methods generally require large numbers of cells. This protocol describes two new low-input Capture-C approaches that can generate high-quality 3C interaction profiles from 10,000-20,000 cells, depending on the resolution used for analysis.
Keywords: Nuclear organization, Chromatin architecture, Chromosome conformation capture (3C), Capture-C, Low input, Small cell numbers
Background
3C techniques play a key role in investigating how nuclear organization and structural interactions between regulatory elements relate to gene activity (Dekker et al., 2002). As these interactions are highly tissue-specific, it is crucial that 3C experiments are performed in well defined, purified cell populations. A major limitation of 3C techniques is the large numbers of cells required: current methods use between 100,000 and 10 million cells (Davies et al., 2017). Many primary tissues and rare cell populations are not available in these numbers. We have therefore developed two new low-input Capture-C approaches that can generate high-quality interaction profiles from ~20,000 cells at maximum resolution (individual DpnII fragments), and from ~10,000 cells using windowing based analysis (Oudelaar et al., 2017).
Materials and Reagents
Equipment
Procedure
Overview Note: Overview of the procedure (Graphics adapted from Davies et al., 2017). Steps
Data analysis
The data analysis of low-input Capture-C experiments has been described (Oudelaar et al., 2017). Scripts are available in the GitHub repository (https://github.com/oudelaar/CaptureC/).
Recipes
Acknowledgments
The low-input Capture-C protocols are optimized adaptations from the Next-Generation Capture-C method (Davies et al., 2016). We thank the Wellcome Trust (Wellcome Trust Genomic Medicine and Statistics PhD Programme, reference 105281/Z/14/Z; Wellcome Trust Strategic Award, reference 106130/Z/14/Z) and the Medical Research Council (MRC Core Funding and Centenary Award reference 4050189188) for funding our work. The authors declare that there is no conflict of interest.
References
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Thanks so much for clarifying. I just had a moment where I started to doubt my understanding of the approach! I will order oligos in the same orientation as they come from the Capsequm design software.Very best wishes and thanks for all your guidance.Kate