A Bioinformatics-Based Strategy Identifies c-Myc and Cdc25A as Candidates for the Apmt Mammary Tumor Latency Modifiers
December 9, 2003
Institute of Bioinformatics
陳孟均Chen Meng Chung
Abstract
The PyVT transgenic
animals induce mammary tumor, but the two epistatically interacting modifier
loci, Apmt1 and Apmt2 acceleration the PyVT –induced the mammary tumor. To
identify the interesting loci and avoid using subcongenic intervals which is laborious
and entailing significant time, the author combined bioinformatics and genomic
strategy. On the basis of the assumption that
the loci were functioning in the same or intersecting pathways, a
search of the literature databases was performed to identify molecular
pathways containing genes from both candidate intervals. Among the genes
identified by this method were the cell cycle-associated genes Cdc25A
and c-Myc, both of which have been implicated in breast
cancer. Molecular and in vitro analysis showed that the polymorphisms
were functionally significant. In vivo analysis was performed by
generating compound PyVT/Myc double-transgenic animals to
mimic the hypothetical model, and was found to recapitulate the
age-of-onset phenotype. This paper provide a utilized bioinformatics way to
identify that c-Myc and Cdc25A are Apmt1 and Apmt2.
Source
Genome research, Vol. 12,
Issue 6, 969-975, June 2002
http://www.genome.org/cgi/content/full/12/6/969
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