RT Journal
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
JF Genome Research 
JO Genome Research 
YR 2004 
FD October 15 
VO 14 
IS 10b 
SP 2162 
OP 2168 
DO 10.1101/gr.2505604 
UL http://genome.cshlp.org/content/14/10b/2162.abstract 
AB 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.