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.
%0 Journal Article
%1 Xie2011MultiInput
%A Xie, Zhen
%A Wroblewska, Liliana
%A Prochazka, Laura
%A Weiss, Ron
%A Benenson, Yaakov
%D 2011
%I American Association for the Advancement of Science
%J Science
%K cancer rnai
%N 6047
%P 1307--1311
%R 10.1126/science.1205527
%T Multi-Input RNAi-Based Logic Circuit for Identification of Specific Cancer Cells
%U http://dx.doi.org/10.1126/science.1205527
%V 333
%X 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.
@article{Xie2011MultiInput,
abstract = {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.},
added-at = {2018-12-02T16:09:07.000+0100},
author = {Xie, Zhen and Wroblewska, Liliana and Prochazka, Laura and Weiss, Ron and Benenson, Yaakov},
biburl = {https://www.bibsonomy.org/bibtex/299ac217ef0064028c4be9e16095e8a6c/karthikraman},
citeulike-article-id = {9735455},
citeulike-linkout-0 = {http://dx.doi.org/10.1126/science.1205527},
citeulike-linkout-1 = {http://www.sciencemag.org/content/333/6047/1307.abstract},
citeulike-linkout-2 = {http://www.sciencemag.org/content/333/6047/1307.full.pdf},
citeulike-linkout-3 = {http://www.sciencemag.org/cgi/content/abstract/333/6047/1307},
citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/21885784},
citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=21885784},
day = 02,
doi = {10.1126/science.1205527},
interhash = {0e10392d95c5b8dbf678aae5c6b4aa7e},
intrahash = {99ac217ef0064028c4be9e16095e8a6c},
issn = {1095-9203},
journal = {Science},
keywords = {cancer rnai},
month = sep,
number = 6047,
pages = {1307--1311},
pmid = {21885784},
posted-at = {2011-09-14 06:19:56},
priority = {2},
publisher = {American Association for the Advancement of Science},
timestamp = {2018-12-02T16:09:07.000+0100},
title = {{Multi-Input} {RNAi}-Based Logic Circuit for Identification of Specific Cancer Cells},
url = {http://dx.doi.org/10.1126/science.1205527},
volume = 333,
year = 2011
}