Dong-ki Lee, Jin Woo Park, Youn-Jae Kim, Jiwon Kim, Yangsoon Lee, Jeonglim Kim and Jin-Soo Kim1
ToolGen, Inc., Yuseong-gu, Daejeon, South Korea, 305-390
We have developed a novel, high-throughput approach to collecting randomly perturbed gene-expression profiles from the human genome.A human 293 cell library that stably expresses randomly chosen zinc-finger transcription factors was constructed, and the expression profile of each cell line was obtained using cDNA microarray technology.Gene expression profiles from a total of 132 cell lines were collected and analyzed by (1) a simple clustering method based on expression-profile similarity, and (2) the shortest-path analysis method.These analyses identified a number of gene groups, and further investigation revealed that the genes that were grouped together had close biological relationships.The artificial transcription factor-based random genome perturbation method thus provides a novel functional genomic tool for annotation and classification of genes in the human genome and those of many other organisms.
Article and publication are at http://www.genome.org/cgi/doi/10.1101/gr.1397903.
1 Corresponding author. FAX 82-42-863-3840.