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
Link To Document :
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