Document Detail


Multi-input RNAi-based logic circuit for identification of specific cancer cells.
MedLine Citation:
PMID:  21885784     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
Engineered biological systems that integrate multi-input sensing, sophisticated information processing, and precisely regulated actuation in living cells could be useful in a variety of applications. For example, anticancer therapies could be engineered to detect and respond to complex cellular conditions in individual cells with high specificity. Here, we show a scalable transcriptional/posttranscriptional synthetic regulatory circuit--a cell-type "classifier"--that senses expression levels of a customizable set of endogenous microRNAs and triggers a cellular response only if the expression levels match a predetermined profile of interest. We demonstrate that a HeLa cancer cell classifier selectively identifies HeLa cells and triggers apoptosis without affecting non-HeLa cell types. This approach also provides a general platform for programmed responses to other complex cell states.
Authors:
Zhen Xie; Liliana Wroblewska; Laura Prochazka; Ron Weiss; Yaakov Benenson
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Science (New York, N.Y.)     Volume:  333     ISSN:  1095-9203     ISO Abbreviation:  Science     Publication Date:  2011 Sep 
Date Detail:
Created Date:  2011-09-02     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0404511     Medline TA:  Science     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1307-11     Citation Subset:  IM    
Affiliation:
Faculty of Arts and Sciences (FAS) Center for Systems Biology, Harvard University, 52 Oxford Street, Cambridge, MA 02138, USA.
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MeSH Terms
Descriptor/Qualifier:
Grant Support
ID/Acronym/Agency:
1R01CA155320-01/CA/NCI NIH HHS; GM068763/GM/NIGMS NIH HHS

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