期刊
NATURE METHODS
卷 6, 期 11, 页码 817-U55出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.1390
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资金
- ETH Zurich
- Swiss National Science Foundation [31000-10767]
- US National Heart, Lung, and Blood Institute
- US National Institutes of Health [N01-HV-28179]
- SystemsX.ch the Swiss initiative for systems biology
- European network of excellence
- European Research Council
- European Molecular Biology Organization
- European Commission
- Swedish society for medical research (SSMF)
- Competence Center for Systems Physiology and Metabolic Diseases
Systems biology conceptualizes biological systems as dynamic networks of interacting elements, whereby functionally important properties are thought to emerge from the structure of such networks. Owing to the ubiquitous role of complexes of interacting proteins in biological systems, their subunit composition and temporal and spatial arrangement within the cell are of particular interest. 'Visual proteomics' attempts to localize individual macromolecular complexes inside of intact cells by template matching reference structures into cryo-electron tomograms. Here we combined quantitative mass spectrometry and cryo-electron tomography to detect, count and localize specific protein complexes in the cytoplasm of the human pathogen Leptospira interrogans. We describe a scoring function for visual proteomics and assess its performance and accuracy under realistic conditions. We discuss current and general limitations of the approach, as well as expected improvements in the future.
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