scholarly journals High-Throughput Computational and Experimental Techniques in Structural Genomics

2004 ◽  
Vol 14 (10b) ◽  
pp. 2145-2154 ◽  
Author(s):  
M. R. Chance
2010 ◽  
Vol 43 (4) ◽  
pp. 752-756 ◽  
Author(s):  
Sahir Khurshid ◽  
Lesley F. Haire ◽  
Naomi E. Chayen

With the advent of structural genomics a variety of crystallization techniques have been automated and applied to high-throughput pipelines, yet seeding, which is the most common and successful optimization method, is still being performed predominantly manually. The aim of this study was to devise simple automated seeding techniques that can be applied in a routine manner using existing robots and not requiring special tools. Two alternative protocols for automated seeding experiments are described. One involves the delivery of microcrystals from stock to target wells using the robot dispensing tip as a seeding tool. The second harnesses an animal whisker as the seeding tool. Larger and better ordered crystals were obtained using both techniques.


2010 ◽  
Vol 24 (S1) ◽  
Author(s):  
Peter C. Preusch ◽  
Ravi Basavappa ◽  
Jean Chin ◽  
Charles Edmonds ◽  
Paula Flicker ◽  
...  

2006 ◽  
Vol 7 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Go Ueno ◽  
Hiroyuki Kanda ◽  
Raita Hirose ◽  
Koh Ida ◽  
Takashi Kumasaka ◽  
...  

2004 ◽  
Vol 5 (1/2) ◽  
pp. 59-61 ◽  
Author(s):  
Christopher Mehlin ◽  
Erica E. Boni ◽  
Jamie Andreyka ◽  
Richard W. Terry

2005 ◽  
Vol 38 (3) ◽  
pp. 568-570 ◽  
Author(s):  
Christian Biertümpfel ◽  
Jérôme Basquin ◽  
Dietrich Suck

For the past few years, the number of structural genomics projects has been growing enormously worldwide. All these projects are supported by substantial financial resources and therefore are able to employ robotics for setting up high-throughput platforms. This paper addresses a simple question: how can basic research laboratories draw profit from the efforts and innovations that have been made to establish high-throughput facilities? To answer this question, the implementations that have been made in the authors' laboratory to improve manual crystallization setup with very limited financial investments are presented. In combination with 96-well microplates, an advanced protocol has been introduced and several simple devices have been designed to speed up different aspects of the manual crystallization setup, from storage of solutions to the setting of drops. These implementations lead to the reduction of costs in terms of time and money without any loss of quality. In addition, the crystallization throughput in the manual setup has been significantly increased.


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