Abstract:
: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.
journal_name
Nat Methodsjournal_title
Nature methodsauthors
Beck M,Malmström JA,Lange V,Schmidt A,Deutsch EW,Aebersold Rdoi
10.1038/nmeth.1390subject
Has Abstractpub_date
2009-11-01 00:00:00pages
817-23issue
11eissn
1548-7091issn
1548-7105pii
nmeth.1390journal_volume
6pub_type
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