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Synthetic Gene Networks That Count.

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Title: Synthetic Gene Networks That Count.
Authors: Friedland, Ari E., Lu, Timothy K., Xiao Wang, Shi, David, Church, George, Collins, James J.
Source: Science (pre-March 2025). 5/29/2009, Vol. 324 Issue 5931, p1199-1202. 4p.
Subjects: Genetic research, Digital electronics, Digital counters, Biotechnology equipment, Escherichia coli, Bacterial genetics, Genetic transcription, Cytological research
Abstract: Synthetic gene networks can be constructed to emulate digital circuits and devices, giving one the ability to program and design cells with some of the principles of modern computing, such as counting. A cellular counter would enable complex synthetic programming and a variety of biotechnology applications. Here, we report two complementary synthetic genetic counters in Escherichia coli that can count up to three induction events: the first, a riboregulated transcriptional cascade, and the second, a recombinase-based cascade of memory units. These modular devices permit counting of varied user-defined inputs over a range of frequencies and can be expanded to count higher numbers. [ABSTRACT FROM AUTHOR]
Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: <searchLink fieldCode="AR" term="%22Friedland%2C+Ari+E%2E%22">Friedland, Ari E.</searchLink><br /><searchLink fieldCode="AR" term="%22Lu%2C+Timothy+K%2E%22">Lu, Timothy K.</searchLink><br /><searchLink fieldCode="AR" term="%22Xiao+Wang%22">Xiao Wang</searchLink><br /><searchLink fieldCode="AR" term="%22Shi%2C+David%22">Shi, David</searchLink><br /><searchLink fieldCode="AR" term="%22Church%2C+George%22">Church, George</searchLink><br /><searchLink fieldCode="AR" term="%22Collins%2C+James+J%2E%22">Collins, James J.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Science+%28pre-March+2025%29%22">Science (pre-March 2025)</searchLink>. 5/29/2009, Vol. 324 Issue 5931, p1199-1202. 4p.
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  Data: <searchLink fieldCode="DE" term="%22Genetic+research%22">Genetic research</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+electronics%22">Digital electronics</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+counters%22">Digital counters</searchLink><br /><searchLink fieldCode="DE" term="%22Biotechnology+equipment%22">Biotechnology equipment</searchLink><br /><searchLink fieldCode="DE" term="%22Escherichia+coli%22">Escherichia coli</searchLink><br /><searchLink fieldCode="DE" term="%22Bacterial+genetics%22">Bacterial genetics</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+transcription%22">Genetic transcription</searchLink><br /><searchLink fieldCode="DE" term="%22Cytological+research%22">Cytological research</searchLink>
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  Data: Synthetic gene networks can be constructed to emulate digital circuits and devices, giving one the ability to program and design cells with some of the principles of modern computing, such as counting. A cellular counter would enable complex synthetic programming and a variety of biotechnology applications. Here, we report two complementary synthetic genetic counters in Escherichia coli that can count up to three induction events: the first, a riboregulated transcriptional cascade, and the second, a recombinase-based cascade of memory units. These modular devices permit counting of varied user-defined inputs over a range of frequencies and can be expanded to count higher numbers. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1126/science.1172005
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              Text: 5/29/2009
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