TY  - JOUR
A1  - Rual, Jean-François
A1  - Ceron, Julian
A1  - Koreth, John
A1  - Hao, Tong
A1  - Nicot, Anne-Sophie
A1  - Hirozane-Kishikawa, Tomoko
A1  - Vandenhaute, Jean
A1  - Orkin, Stuart H.
A1  - Hill, David E.
A1  - van den Heuvel, Sander
A1  - Vidal, Marc
T1  - Toward Improving Caenorhabditis elegans Phenome Mapping With an ORFeome-Based RNAi Library
Y1  - 2004/10/15 
JF  - Genome Research 
JO  - Genome Research 
SP  - 2162 
EP  - 2168 
DO  - 10.1101/gr.2505604 
VL  - 14 
IS  - 10b 
UR  - http://genome.cshlp.org/content/14/10b/2162.abstract 
N2  - The recently completed Caenorhabditis elegans genome sequence allows application of high-throughput (HT) approaches for phenotypic analyses using RNA interference (RNAi). As large phenotypic data sets become available, “phenoclustering” strategies can be used to begin understanding the complex molecular networks involved in development and other biological processes. The current HT-RNAi resources represent a great asset for phenotypic profiling but are limited by lack of flexibility. For instance, existing resources do not take advantage of the latest improvements in RNAi technology, such as inducible hairpin RNAi. Here we show that a C. elegans ORFeome resource, generated with the Gateway cloning system, can be used as a starting point to generate alternative HT-RNAi resources with enhanced flexibility. The versatility inherent to the Gateway system suggests that additional HT-RNAi libraries can now be readily generated to perform gene knockdowns under various conditions, increasing the possibilities for phenome mapping in C. elegans. 
ER  -