Title |
Enhanced top-down characterization of histone post-translational modifications
|
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Published in |
Genome Biology, October 2012
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DOI | 10.1186/gb-2012-13-10-r86 |
Pubmed ID | |
Authors |
Zhixin Tian, Nikola Tolić, Rui Zhao, Ronald J Moore, Shawna M Hengel, Errol W Robinson, David L Stenoien, Si Wu, Richard D Smith, Ljiljana Paša-Tolić |
Abstract |
ABSTRACT: Post-translational modifications (PTMs) of core histones work synergistically to fine tune chromatin structure and function, generating a so-called histone code that can be interpreted by a variety of chromatin interacting proteins. We report a novel online two-dimensional liquid chromatography-tandem mass spectrometry (2D LC-MS/MS) platform for high-throughput and sensitive characterization of histone PTMs at the intact protein level. The platform enables unambiguous identification of 708 histone isoforms from a single 2D LC-MS/MS analysis of 7.5 µg purified core histones. The throughput and sensitivity of comprehensive histone modification characterization is dramatically improved compared with more traditional platforms. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 67% |
United States | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 5% |
United Kingdom | 3 | 2% |
France | 2 | 1% |
Belgium | 2 | 1% |
Portugal | 1 | <1% |
Germany | 1 | <1% |
Unknown | 131 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 46 | 31% |
Researcher | 37 | 25% |
Student > Master | 17 | 12% |
Professor | 9 | 6% |
Professor > Associate Professor | 9 | 6% |
Other | 19 | 13% |
Unknown | 10 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 59 | 40% |
Chemistry | 30 | 20% |
Biochemistry, Genetics and Molecular Biology | 24 | 16% |
Computer Science | 6 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
Other | 11 | 7% |
Unknown | 13 | 9% |