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Cited by 545

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Higher-Order Cellular Information Processing with Synthetic RNA Devices

Open access
Win, Maung Nyan, Smolke, Christina D.·2008·Science

Abstract

The engineering of biological systems is anticipated to provide effective solutions to challenges that include energy and food production, environmental quality, and health and medicine. Our ability to transmit information to and from living systems, and to process and act on information inside cells, is critical to advancing the scale and complexity at which we can engineer, manipulate, and probe biological systems. We developed a general approach for assembling RNA devices that can execute higher-order cellular information processing operations from standard components. The engineered devices can function as logic gates (AND, NOR, NAND, or OR gates) and signal filters, and exhibit cooperativity. RNA devices process and transmit molecular inputs to targeted protein outputs, linking computation to gene expression and thus the potential to control cellular function.

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Metadata

Authors
Win, M. N., & Smolke, C. D.
Venue
Science
Published
2008-10-17
Volume
322
Issue
5900
Pages
456-460
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2109389103
Cited by
545
References
0
FWCI
19.60
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Higher-Order Cellular Information Processing with Synthetic RNA Devices. https://app.cochat.ai/papers/10.1126/science.1160311
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Win, M. N., & Smolke, C. D. (2008). Higher-Order Cellular Information Processing with Synthetic RNA Devices. Science. https://doi.org/10.1126/science.1160311

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.