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PMID: 16431136 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

The orthogonal tilt reconstruction method: an approach to generating single-class volumes with no missing cone for ab initio reconstruction of asymmetric particles.

Journal of structural biology ·Vol. 153 ·No. 3 ·2006-03-00 ·Pages 284-99

Leschziner AE, Nogales E

Abstract

Generating reliable initial models is a critical step in the reconstruction of asymmetric single-particles by 3D electron microscopy. This is particularly difficult to do if heterogeneity is present in the sample. The Random Conical Tilt (RCT) method, arguably the most robust presently to accomplish this task, requires significant user intervention to solve the "missing cone" problem. We present here a novel approach, termed the orthogonal tilt reconstruction method, that eliminates the missing cone altogether, making it possible for single-class volumes to be used directly as initial references in refinement without further processing. The method involves collecting data at +45 degrees and -45 degrees tilts and only requires that particles adopt a relatively large number of orientations on the grid. One tilted data set is used for alignment and classification and the other set--which provides views orthogonal to those in the first--is used for reconstruction, resulting in the absence of a missing cone. We have tested this method with synthetic data and compared its performance to that of the RCT method. We also propose a way of increasing the level of homogeneity in individual 2D classes (and volumes) in a heterogeneous data set and identifying the most homogeneous volumes.

MeSH Terms
DNA Polymerase I/chemistry,ultrastructure Image Processing, Computer-Assisted/methods Microscopy, Electron/methods Models, Molecular
Chemicals
DNA Polymerase I
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Leschziner Andres E
Lawrence Berkeley National Laboratory, University of California, Berkeley, USA. AELeschziner@lbl.gov
Nogales Eva
Article Info
Journal
Journal of structural biology
Abbr.
J Struct Biol
ISSN
1047-8477
Published
2006-03-00
Epub
2005-00-21
Pages
284-99
Language
English
Region
United States
NLM ID
9011206
Subset
IM
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