Title |
MNase titration reveals differences between nucleosome occupancy and chromatin accessibility
|
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Published in |
Nature Communications, May 2016
|
DOI | 10.1038/ncomms11485 |
Pubmed ID | |
Authors |
Jakub Mieczkowski, April Cook, Sarah K. Bowman, Britta Mueller, Burak H. Alver, Sharmistha Kundu, Aimee M. Deaton, Jennifer A. Urban, Erica Larschan, Peter J. Park, Robert E. Kingston, Michael Y. Tolstorukov |
Abstract |
Chromatin accessibility plays a fundamental role in gene regulation. Nucleosome placement, usually measured by quantifying protection of DNA from enzymatic digestion, can regulate accessibility. We introduce a metric that uses micrococcal nuclease (MNase) digestion in a novel manner to measure chromatin accessibility by combining information from several digests of increasing depths. This metric, MACC (MNase accessibility), quantifies the inherent heterogeneity of nucleosome accessibility in which some nucleosomes are seen preferentially at high MNase and some at low MNase. MACC interrogates each genomic locus, measuring both nucleosome location and accessibility in the same assay. MACC can be performed either with or without a histone immunoprecipitation step, and thereby compares histone and non-histone protection. We find that changes in accessibility at enhancers, promoters and other regulatory regions do not correlate with changes in nucleosome occupancy. Moreover, high nucleosome occupancy does not necessarily preclude high accessibility, which reveals novel principles of chromatin regulation. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 22% |
United Kingdom | 2 | 22% |
Denmark | 1 | 11% |
France | 1 | 11% |
Unknown | 3 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 56% |
Members of the public | 4 | 44% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 2% |
Netherlands | 1 | <1% |
Germany | 1 | <1% |
Canada | 1 | <1% |
United Kingdom | 1 | <1% |
Unknown | 356 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 100 | 27% |
Researcher | 73 | 20% |
Student > Bachelor | 34 | 9% |
Student > Master | 29 | 8% |
Student > Doctoral Student | 22 | 6% |
Other | 36 | 10% |
Unknown | 72 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 153 | 42% |
Agricultural and Biological Sciences | 99 | 27% |
Medicine and Dentistry | 6 | 2% |
Computer Science | 5 | 1% |
Engineering | 5 | 1% |
Other | 19 | 5% |
Unknown | 79 | 22% |