Title |
AHT-ChIP-seq: a completely automated robotic protocol for high-throughput chromatin immunoprecipitation
|
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Published in |
Genome Biology, November 2013
|
DOI | 10.1186/gb-2013-14-11-r124 |
Pubmed ID | |
Authors |
Sarah Aldridge, Stephen Watt, Michael A Quail, Tim Rayner, Margus Lukk, Michael F Bimson, Daniel Gaffney, Duncan T Odom |
Abstract |
ChIP-seq is an established manually-performed method for identifying DNA-protein interactions genome-wide. Here, we describe a protocol for automated high-throughput (AHT) ChIP-seq. To demonstrate the quality of data obtained using AHT-ChIP-seq, we applied it to five proteins in mouse livers using a single 96-well plate, demonstrating an extremely high degree of qualitative and quantitative reproducibility among biological and technical replicates. We estimated the optimum and minimum recommended cell numbers required to perform AHT-ChIP-seq by running an additional plate using HepG2 and MCF7 cells. With this protocol, commercially available robotics can perform four hundred experiments in five days. |
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United Kingdom | 3 | 14% |
France | 1 | 5% |
India | 1 | 5% |
Germany | 1 | 5% |
Unknown | 6 | 27% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 11 | 50% |
Members of the public | 9 | 41% |
Science communicators (journalists, bloggers, editors) | 2 | 9% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 4 | 4% |
United States | 4 | 4% |
Germany | 2 | 2% |
Spain | 2 | 2% |
Canada | 1 | 1% |
Italy | 1 | 1% |
China | 1 | 1% |
Unknown | 83 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 30 | 31% |
Student > Ph. D. Student | 27 | 28% |
Student > Master | 7 | 7% |
Student > Bachelor | 5 | 5% |
Other | 5 | 5% |
Other | 12 | 12% |
Unknown | 12 | 12% |
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---|---|---|
Agricultural and Biological Sciences | 52 | 53% |
Biochemistry, Genetics and Molecular Biology | 25 | 26% |
Computer Science | 6 | 6% |
Medicine and Dentistry | 2 | 2% |
Engineering | 1 | 1% |
Other | 0 | 0% |
Unknown | 12 | 12% |