Three-Dimensional Electron Microscopy of the Clamp Loader Small Subunit from Pyrococcus furiosus

2001 ◽  
Vol 134 (1) ◽  
pp. 35-45 ◽  
Author(s):  
Kouta Mayanagi ◽  
Tomoko Miyata ◽  
Takuji Oyama ◽  
Yoshizumi Ishino ◽  
Kosuke Morikawa
Keyword(s):  
Electron Microscopy ◽  
Pyrococcus Furiosus ◽  
Three Dimensional ◽  
Small Subunit ◽  
Clamp Loader ◽  
Dimensional Electron

Structural organization of escherichia coli ribosomes as determined by immuno electron microscopy

1978 ◽  
Vol 36 (2) ◽  
pp. 166-167 ◽  
Author(s):  
G. Stöffler ◽  
R.W. Bald ◽  
J. Dieckhoff ◽  
H. Eckhard ◽  
R. Lührmann ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Escherichia Coli ◽  
Ribosomal Proteins ◽  
Structural Organization ◽  
Three Dimensional ◽  
Ribosomal Subunit ◽  
Spatial Arrangement ◽  
Small Subunit ◽  
Antibody Binding ◽  
Immuno Electron Microscopy

A central step towards an understanding of the structure and function of the Escherichia coli ribosome, a large multicomponent assembly, is the elucidation of the spatial arrangement of its 54 proteins and its three rRNA molecules. The structural organization of ribosomal components has been investigated by a number of experimental approaches. Specific antibodies directed against each of the 54 ribosomal proteins of Escherichia coli have been performed to examine antibody-subunit complexes by electron microscopy. The position of the bound antibody, specific for a particular protein, can be determined; it indicates the location of the corresponding protein on the ribosomal surface.The three-dimensional distribution of each of the 21 small subunit proteins on the ribosomal surface has been determined by immuno electron microscopy: the 21 proteins have been found exposed with altogether 43 antibody binding sites. Each one of 12 proteins showed antibody binding at remote positions on the subunit surface, indicating highly extended conformations of the proteins concerned within the 30S ribosomal subunit; the remaining proteins are, however, not necessarily globular in shape (Fig. 1).

Grid Computing in 3D Electron Microscopy Reconstruction

2012 ◽  
pp. 881-898
Author(s):  
J.R. Bilbao-Castro ◽  
I. García ◽  
J.J. Fernández
Keyword(s):  
Electron Microscopy ◽  
Grid Computing ◽  
Three Dimensional ◽  
Dimensional Electron ◽  
Reconstruction Process ◽  
Computing Paradigm ◽  
Structural Conformation ◽  
Reconstructed Volume ◽  
Dimensional Reconstruction ◽  
Computational Resources

Three-dimensional electron microscopy allows scientists to study biological specimens and to understand how they behave and interact with each other depending on their structural conformation. Electron microscopy projections of the specimens are taken from different angles and are processed to obtain a virtual three-dimensional reconstruction for further studies. Nevertheless, the whole reconstruction process, which is composed of many different subtasks from the microscope to the reconstructed volume, is not straightforward nor cheap in terms of computational costs. Different computing paradigms have been applied in order to overcome such high costs. While classic parallel computing using mainframes and clusters of workstations is usually enough for average requirements, there are some tasks which would fit better into a different computing paradigm – such as grid computing. Such tasks can be split up into a myriad of subtasks, which can then be run independently using as many computational resources as are available. This chapter explores two of these tasks present in a typical three-dimensional electron microscopy reconstruction process. In addition, important aspects like fault-tolerance are widely covered; given that the distributed nature of a grid infrastructure makes it inherently unstable and difficult to predict.

Grid Computing in 3D Electron Microscopy Reconstruction

2011 ◽  
pp. 392-409
Author(s):  
J.R. Bilbao Castro ◽  
I. Garcia Fernandez ◽  
J. Fernandez
Keyword(s):  
Electron Microscopy ◽  
Grid Computing ◽  
Three Dimensional ◽  
Dimensional Electron ◽  
Reconstruction Process ◽  
Computing Paradigm ◽  
Structural Conformation ◽  
Reconstructed Volume ◽  
Dimensional Reconstruction ◽  
Computational Resources

Three-dimensional electron microscopy allows scientists to study biological specimens and to understand how they behave and interact with each other depending on their structural conformation. Electron microscopy projections of the specimens are taken from different angles and are processed to obtain a virtual three-dimensional reconstruction for further studies. Nevertheless, the whole reconstruction process, which is composed of many different subtasks from the microscope to the reconstructed volume, is not straightforward nor cheap in terms of computational costs. Different computing paradigms have been applied in order to overcome such high costs. While classic parallel computing using mainframes and clusters of workstations is usually enough for average requirements, there are some tasks which would fit better into a different computing paradigm – such as grid computing. Such tasks can be split up into a myriad of subtasks, which can then be run independently using as many computational resources as are available. This chapter explores two of these tasks present in a typical three-dimensional electron microscopy reconstruction process. In addition, important aspects like fault-tolerance are widely covered; given that the distributed nature of a grid infrastructure makes it inherently unstable and difficult to predict.

26S Proteasome Structure Revealed by Three-dimensional Electron Microscopy

1998 ◽  
Vol 121 (1) ◽  
pp. 19-29 ◽  
Author(s):  
Jochen Walz ◽  
Annette Erdmann ◽  
Mary Kania ◽  
Dieter Typke ◽  
Abraham J Koster ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Three Dimensional ◽  
26S Proteasome ◽  
Dimensional Electron
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