Title |
Amplification of pico-scale DNA mediated by bacterial carrier DNA for small-cell-number transcription factor ChIP-seq
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Published in |
BMC Genomics, February 2015
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DOI | 10.1186/s12864-014-1195-4 |
Pubmed ID | |
Authors |
Janus S Jakobsen, Frederik O Bagger, Marie S Hasemann, Mikkel B Schuster, Anne-Katrine Frank, Johannes Waage, Kristoffer Vitting-Seerup, Bo T Porse |
Abstract |
BackgroundChromatin-Immunoprecipitation coupled with deep sequencing (ChIP-seq) is used to map transcription factor occupancy and generate epigenetic profiles genome-wide. The requirement of nano-scale ChIP DNA for generation of sequencing libraries has impeded ChIP-seq on in vivo tissues of low cell numbers.ResultsWe describe a robust, simple and scalable methodology for ChIP-seq of low-abundant cell populations, verified down to 10,000 cells. By employing non-mammalian genome mapping bacterial carrier DNA during amplification, we reliably amplify down to 50 pg of ChIP DNA from transcription factor (CEBPA) and histone mark (H3K4me3) ChIP. We further demonstrate that genomic profiles are highly resilient to changes in carrier DNA to ChIP DNA ratios.ConclusionsThis represents a significant advance compared to existing technologies, which involve either complex steps of pre-selection for nucleosome-containing chromatin or pre-amplification of precipitated DNA, making them prone to introduce experimental biases. |
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Geographical breakdown
Country | Count | As % |
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France | 1 | 33% |
United States | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 2 | 3% |
United Kingdom | 1 | 1% |
Denmark | 1 | 1% |
Unknown | 67 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 14 | 20% |
Researcher | 14 | 20% |
Student > Master | 10 | 14% |
Student > Bachelor | 7 | 10% |
Professor > Associate Professor | 6 | 8% |
Other | 14 | 20% |
Unknown | 6 | 8% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 24 | 34% |
Agricultural and Biological Sciences | 20 | 28% |
Medicine and Dentistry | 6 | 8% |
Engineering | 4 | 6% |
Neuroscience | 3 | 4% |
Other | 4 | 6% |
Unknown | 10 | 14% |