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PMID: 17515909 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

A universal RNAi-based logic evaluator that operates in mammalian cells.

Nature biotechnology ·Vol. 25 ·No. 7 ·2007-07-00 ·Pages 795-801

Rinaudo K, Bleris L, Maddamsetti R, Subramanian S, Weiss R, Benenson Y

Abstract

Molecular automata that combine sensing, computation and actuation enable programmable manipulation of biological systems. We use RNA interference (RNAi) in human kidney cells to construct a molecular computing core that implements general Boolean logic to make decisions based on endogenous molecular inputs. The state of an endogenous input is encoded by the presence or absence of 'mediator' small interfering RNAs (siRNAs). The encoding rules, combined with a specific arrangement of the siRNA targets in a synthetic gene network, allow direct evaluation of any Boolean expression in standard forms using siRNAs and indirect evaluation using endogenous inputs. We demonstrate direct evaluation of expressions with up to five logic variables. Implementation of the encoding rules through sensory up- and down-regulatory links between the inputs and siRNA mediators will allow arbitrary Boolean decision-making using these inputs.

MeSH Terms
Base Sequence Cell Separation Computational Biology/methods Evolution, Molecular Flow Cytometry Gene Regulatory Networks Gene Silencing Humans Kidney/metabolism Models, Biological Models, Genetic Molecular Sequence Data RNA Interference RNA, Messenger/metabolism RNA, Small Interfering/metabolism
Chemicals
RNA, Messenger RNA, Small Interfering
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Rinaudo Keller
FAS Center for Systems Biology, Harvard University, 7 Divinity Ave., Cambridge, Massachusetts 02138 USA.
Bleris Leonidas
Maddamsetti Rohan
Subramanian Sairam
Weiss Ron
Benenson Yaakov
Article Info
Journal
Nature biotechnology
Abbr.
Nat Biotechnol
ISSN
1087-0156
Published
2007-07-00
Epub
2007-00-21
Pages
795-801
Language
English
Region
United States
NLM ID
9604648
Subset
IM
Grants
NIGMS NIH HHS · P50 GM068763-01 · United States
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