Identification of Macromolecular Complexes in Cryoelectron Tomograms of Phantom Cells
Electron tomograms of intact frozen-hydrated cells are essentially three-dimensional images of the entire proteome of the cell, and they depict the whole network of macromolecular interactions. However, this information is not easily accessible because of the poor signal-to-noise ratio of the tomogr...
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| Veröffentlicht in: | Proceedings of the National Academy of Sciences - PNAS 2002-10, Vol.99 (22), p.14153-14158 |
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| container_title | Proceedings of the National Academy of Sciences - PNAS |
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| creator | Frangakis, Achilleas S. Böhm, Jochen Förster, Friedrich Nickell, Stephan Nicastro, Daniela Typke, Dieter Hegerl, Reiner Baumeister, Wolfgang |
| description | Electron tomograms of intact frozen-hydrated cells are essentially three-dimensional images of the entire proteome of the cell, and they depict the whole network of macromolecular interactions. However, this information is not easily accessible because of the poor signal-to-noise ratio of the tomograms and the crowded nature of the cytoplasm. Here, we describe a template matching algorithm that is capable of detecting and identifying macromolecules in tomographic volumes in a fully automated manner. The algorithm is based on nonlinear cross correlation and incorporates elements of multivariate statistical analysis. Phantom cells, i.e., lipid vesicles filled with macromolecules, provide a realistic experimental scenario for an assessment of the fidelity of this approach. At the current resolution of ≈4 nm, macromolecules in the size range of 0.5-1 MDa can be identified with good fidelity. |
| doi_str_mv | 10.1073/pnas.172520299 |
| format | Article |
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However, this information is not easily accessible because of the poor signal-to-noise ratio of the tomograms and the crowded nature of the cytoplasm. Here, we describe a template matching algorithm that is capable of detecting and identifying macromolecules in tomographic volumes in a fully automated manner. The algorithm is based on nonlinear cross correlation and incorporates elements of multivariate statistical analysis. Phantom cells, i.e., lipid vesicles filled with macromolecules, provide a realistic experimental scenario for an assessment of the fidelity of this approach. 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| subjects | Algorithms Archaeal Proteins - analysis Atoms Biological Sciences Biophysics Cells Chaperonins - analysis Coated Vesicles Correlation coefficients Cross correlation Cryoelectron Microscopy - methods Cysteine Endopeptidases - analysis Electron microscopes Lipids Liposomes - chemistry Macromolecules Molecules Multienzyme Complexes - analysis Multivariate Analysis Nonlinear Dynamics Pixels Prokaryotic cells Proteasome Endopeptidase Complex Radiation counters |
| title | Identification of Macromolecular Complexes in Cryoelectron Tomograms of Phantom Cells |
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