Multi-Input RNAi-Based Logic Circuit for Identification of Specific Cancer Cells

被引:552
作者
Xie, Zhen [1 ,2 ]
Wroblewska, Liliana [1 ]
Prochazka, Laura [3 ]
Weiss, Ron [1 ,4 ]
Benenson, Yaakov [2 ,3 ]
机构
[1] MIT, Dept Biol Engn, Cambridge, MA 02142 USA
[2] Harvard Univ, Fac Arts & Sci FAS, Ctr Syst Biol, Cambridge, MA 02138 USA
[3] ETH, Dept Biosyst Sci & Engn, CH-4058 Basel, Switzerland
[4] MIT, Dept Elect Engn & Comp Sci, Cambridge, MA 02142 USA
关键词
MAMMALIAN-CELLS; GENE-EXPRESSION; MICRORNA EXPRESSION; PROTEINS; NETWORK; TISSUE; SWITCH;
D O I
10.1126/science.1205527
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页码:1307 / 1311
页数:5
相关论文
共 29 条
  • [1] MicroRNAs: Target Recognition and Regulatory Functions
    Bartel, David P.
    [J]. CELL, 2009, 136 (02) : 215 - 233
  • [2] A synthetic multicellular system for programmed pattern formation
    Basu, S
    Gerchman, Y
    Collins, CH
    Arnold, FH
    Weiss, R
    [J]. NATURE, 2005, 434 (7037) : 1130 - 1134
  • [3] An autonomous molecular computer for logical control of gene expression
    Benenson, Y
    Gil, B
    Ben-Dor, U
    Adar, R
    Shapiro, E
    [J]. NATURE, 2004, 429 (6990) : 423 - 429
  • [4] Endogenous microRNA can be broadly exploited to regulate transgene expression according to tissue, lineage and differentiation state
    Brown, Brian D.
    Gentner, Bernhard
    Cantore, Alessio
    Colleoni, Silvia
    Amendola, Mario
    Zingale, Anna
    Baccarini, Alessia
    Lazzari, Giovanna
    Galli, Cesare
    Naldini, Luigi
    [J]. NATURE BIOTECHNOLOGY, 2007, 25 (12) : 1457 - 1467
  • [5] Reprogramming Cellular Behavior with RNA Controllers Responsive to Endogenous Proteins
    Culler, Stephanie J.
    Hoff, Kevin G.
    Smolke, Christina D.
    [J]. SCIENCE, 2010, 330 (6008) : 1251 - 1255
  • [6] A synchronized quorum of genetic clocks
    Danino, Tal
    Mondragon-Palomino, Octavio
    Tsimring, Lev
    Hasty, Jeff
    [J]. NATURE, 2010, 463 (7279) : 326 - 330
  • [7] A tunable genetic switch based on RNAi and repressor proteins for regulating gene expression in mammalian cells
    Deans, Tara L.
    Cantor, Charles R.
    Collins, James J.
    [J]. CELL, 2007, 130 (02) : 363 - 372
  • [8] A synthetic oscillatory network of transcriptional regulators
    Elowitz, MB
    Leibler, S
    [J]. NATURE, 2000, 403 (6767) : 335 - 338
  • [9] Synthetic Gene Networks That Count
    Friedland, Ari E.
    Lu, Timothy K.
    Wang, Xiao
    Shi, David
    Church, George
    Collins, James J.
    [J]. SCIENCE, 2009, 324 (5931) : 1199 - 1202
  • [10] Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
    Golub, TR
    Slonim, DK
    Tamayo, P
    Huard, C
    Gaasenbeek, M
    Mesirov, JP
    Coller, H
    Loh, ML
    Downing, JR
    Caligiuri, MA
    Bloomfield, CD
    Lander, ES
    [J]. SCIENCE, 1999, 286 (5439) : 531 - 537