DocumentCode
1373508
Title
Design and Characterization of a Three-terminal Transcriptional Device Through Polymerase Per Second
Author
Varadarajan, Prasanna Amur ; Vecchio, Domitilla Del
Author_Institution
Dept. of Mech. Eng., Univ. of Michigan, Ann Arbor, MI, USA
Volume
8
Issue
3
fYear
2009
Firstpage
281
Lastpage
289
Abstract
In this paper, we provide an in silico input-output characterization of a three-terminal transcriptional device employing polymerase per second (PoPS) as input and output. The device is assembled from well-characterized parts of the bacteriophage ¿ switch transcriptional circuit. We draw the analogy between voltage and protein concentration and between current and PoPS to demonstrate that the characteristics of the three-terminal transcriptional device are qualitatively similar to those of a bipolar junction transistor (BJT). In particular, as it occurs in a BJT, the device can be tuned to operate either as a linear amplifier or as a switch. When the device operates as a linear amplifier, gains of twofolds can be obtained, which are considerably smaller than those obtained in a BJT (in which 100-fold amplification gains can be reached). This fact suggests that the parts extracted from natural transcriptional systems may be naturally designed mostly to process and store information as opposed to amplify signals.
Keywords
amplifiers; biomolecular electronics; bipolar transistors; cellular biophysics; genetics; molecular biophysics; proteins; switching circuits; BJT; bacteriophage ¿ switch transcriptional circuit; bipolar junction transistor; gene expression; in silico input-output characterization; linear amplifier; natural transcriptional systems; polymerase per second; protein concentration; three-terminal transcriptional device; Assembly; Data mining; Gain; Polymers; Process design; Proteins; Signal design; Switches; Switching circuits; Voltage; Electronic devices; gene regulation; stochastic simulation; Biomimetic Materials; Computer Simulation; Computers, Molecular; DNA; DNA-Directed RNA Polymerases; Models, Genetic; Signal Processing, Computer-Assisted; Transcription, Genetic; Transistors, Electronic;
fLanguage
English
Journal_Title
NanoBioscience, IEEE Transactions on
Publisher
ieee
ISSN
1536-1241
Type
jour
DOI
10.1109/TNB.2009.2028687
Filename
5371779
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