文章基本信息

标题：Identification of macromolecular complexes in cryoelectron tomograms of phantom cells
本地全文：下载
作者：Achilleas S. Frangakis ; Jochen Böhm ; Friedrich Förster 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2002
卷号：99
期号：22
页码：14153-14158
DOI：10.1073/pnas.172520299
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：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 {approx}4 nm, macromolecules in the size range of 0.5-1 MDa can be identified with good fidelity.