Toward a functional annotation of the human genome using artificial transcription factors

Cited 12 time in Web of Science Cited 13 time in Scopus

Lee, Dong-Ki; Park, Jin Woo; Kim, Youn-Jae; Kim, Jiwon; Lee, Yangsoon; Kim, Jeonglim; Kim, Jin-Soo

Issue Date
Cold Spring Harbor Laboratory Press
Genome Research, Vol.13 No.12, pp.2708-2716
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.
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College of Natural Sciences (자연과학대학)Dept. of Chemistry (화학부)Journal Papers (저널논문_화학부)
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