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Cited by 527

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Combinatorial Synthesis of Genetic Networks

Guet, Călin C., Elowitz, Michael B., Hsing, Weihong, Leibler, Stanislas·2002·Science

Abstract

A central problem in biology is determining how genes interact as parts of functional networks. Creation and analysis of synthetic networks, composed of well-characterized genetic elements, provide a framework for theoretical modeling. Here, with the use of a combinatorial method, a library of networks with varying connectivity was generated in Escherichia coli . These networks were composed of genes encoding the transcriptional regulators LacI, TetR, and lambda CI, as well as the corresponding promoters. They displayed phenotypic behaviors resembling binary logical circuits, with two chemical “inputs” and a fluorescent protein “output.” Within this simple system, diverse computational functions arose through changes in network connectivity. Combinatorial synthesis provides an alternative approach for studying biological networks, as well as an efficient method for producing diverse phenotypes in vivo.

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Metadata

Authors
Guet, C. C., Elowitz, M. B., Hsing, W., & Leibler, S.
Venue
Science
Published
2002-05-24
Volume
296
Issue
5572
Pages
1466-1470
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1557270760
Cited by
527
References
13
FWCI
11.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Combinatorial Synthesis of Genetic Networks. https://app.cochat.ai/papers/10.1126/science.1067407
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Guet, C. C., Elowitz, M. B., Hsing, W., & Leibler, S. (2002). Combinatorial Synthesis of Genetic Networks. Science. https://doi.org/10.1126/science.1067407

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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