Authors: Miki Hirabayashi Hirotada Ohashi Tai Kubo
Publish Date: 2008/03/07
Volume: 7, Issue: 3, Pages: 403-421
Abstract
Biomolecular computing using the artificial nucleic acid technology is expected to bring new solutions to various health problems We focus on the noninvasive transcriptome diagnosis by salivary mRNAs and present the novel concept of transcriptionbased diagnostic automata that are constructed by programmed DNA modules The main computational element has a stem shaped promoter region and a pseudoloop shaped readonly memory region for transcription regulation through the conformation change caused by targets Our system quantifies targets by transcription of malachite green aptamer sequence triggered by the target recognition This algorithm makes it possible to realize the costeffective and sequencespecific realtime target detection Moreover in the invivo therapeutic use this transcriptionbased system can release RNAaptamer drugs multiply at the transcription stage different from the digestionbased systems by the restriction enzyme which was proposed previously We verified the sensitivity the selectivity and the quantitative stability of the diagnostic automata in basic conditions Our approach will provide promising applications of autonomous intelligent systems using programmed molecules
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