Title |
Histone Interaction Landscapes Visualized by Crosslinking Mass Spectrometry in Intact Cell Nuclei
|
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Published in |
Molecular and Cellular Proteomics, July 2018
|
DOI | 10.1074/mcp.ra118.000924 |
Pubmed ID | |
Authors |
Domenico Fasci, Hugo van Ingen, Richard A Scheltema, Albert J R Heck |
Abstract |
Cells organize their actions partly through tightly controlled protein-protein interactions - collectively termed the interactome. Here we use crosslinking mass spectrometry (XL-MS) to chart the protein-protein interactions in intact human nuclei. We overall identified ~8700 crosslinks, of which 2/3 represent links connecting distinct proteins. From this data, we gain insights on interactions involving histone proteins. We observed that core histones on the nucleosomes expose well-defined interaction hot spots. For several nucleosome-interacting proteins, such as USF3 and Ran GTPase, the data allowed us to build low-resolution models of their binding mode to the nucleosome. For HMGN2 the data guided the construction of a refined model of the interaction with the nucleosome, based on complementary NMR, XL-MS and modeling. Excitingly, the analysis of crosslinks carrying post-translational modifications allowed us to extract how specific modifications influence nucleosome interactions. Overall, our data depository will support future structural and functional analysis of cell nuclei, including the nucleoprotein assemblies they harbor. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 11 | 31% |
United Kingdom | 5 | 14% |
Germany | 3 | 9% |
France | 2 | 6% |
Mexico | 1 | 3% |
Netherlands | 1 | 3% |
Peru | 1 | 3% |
Norway | 1 | 3% |
Unknown | 10 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 24 | 69% |
Scientists | 11 | 31% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 154 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 49 | 32% |
Researcher | 22 | 14% |
Student > Master | 14 | 9% |
Student > Bachelor | 13 | 8% |
Student > Doctoral Student | 8 | 5% |
Other | 19 | 12% |
Unknown | 29 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 60 | 39% |
Agricultural and Biological Sciences | 24 | 16% |
Chemistry | 13 | 8% |
Medicine and Dentistry | 6 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 2% |
Other | 13 | 8% |
Unknown | 35 | 23% |