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Building Synthetic Memory
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AI
DOI：10.1016/j.cub.2013.06.047.png)
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摘要
En 中文
Cellular memory - conversion of a transient signal into a sustained response - is a common feature of biological systems. Synthetic biologists aim to understand and re-engineer such systems in a reliable and predictable manner. Synthetic memory circuits have been designed and built in vitro and in vivo based on diverse mechanisms, such as oligonucleotide hybridization, recombination, transcription, phosphorylation, and RNA editing. Thus far, building these circuits has helped us explore the basic principles required for stable memory and ask novel biological questions. Here we discuss strategies for building synthetic memory circuits, their use as research tools, and future applications of these devices in medicine and industry.
Keyword:
POSITIVE FEEDBACK
GENE NETWORKS
LOGIC-CIRCUIT
CONSTRUCTION
SWITCH
BIOLOGY
DESIGN
SYSTEM
CELLS
RNAI
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期刊
IF:
7.5
论文数:
2.3W
被引数:
7.8W
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