Toward a Functional Annotation of the Human Genome Using Artificial Transcription Factors
AUTOR(ES)
Lee, Dong-ki
FONTE
Cold Spring Harbor Laboratory Press
RESUMO
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.
ACESSO AO ARTIGO
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=403813Documentos Relacionados
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