ArticleScientific reports2018
A new method for discovering EMAST sequences in animal models of cancer.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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6 authors at 1 institution in 1 country.
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Abstract
Elevated Microsatellite Alterations at Selected Tetranucleotide repeats (EMAST) occur in up to 60% of colorectal cancers and may associate with aggressive and advanced disease in patients. Although EMAST occurs in many cancer types, current understanding is limited due to the lack of an animal model. Reported here is the design and implementation of an algorithm for detecting EMAST repeats in mice. This algorithm incorporates properties of known human EMAST sequences to identify repeat sequences in animal genomes and was able to identify EMAST-like sequences in the mouse. Seven of the identified repeats were analyzed further in a colon cancer mouse model and six of the seven displayed EMAST instability characteristic of that seen in human colorectal cancers. In conclusion, the algorithm developed successfully identified EMAST repeats in an animal genome and, for the first time, EMAST has been shown to occur in a mouse model of colon cancer.
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