期刊
NATURE COMMUNICATIONS
卷 11, 期 1, 页码 -出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/s41467-020-16112-z
关键词
-
资金
- National Key RAMP
- D Program of China [2016YFA0400900, 2016YFA0902600]
- National Natural Science Foundation of China [21991134, 21834007, 21675167, 31571014, 21775157, 11575278, 21505148]
- National Science Foundation [1607832]
- Shanghai Municipal Science and Technology Commission [19JC1410302]
- Open Large Infrastructure Research of Chinese Academy of Sciences
- LU JIAXI International team program
- Presidential Strategic Initiative Fund from Arizona
- Direct For Mathematical & Physical Scien
- Division Of Materials Research [1607832] Funding Source: National Science Foundation
Signal amplification in biological systems is achieved by cooperatively recruiting multiple copies of regulatory biomolecules. Nevertheless, the multiplexing capability of artificial fluorescent amplifiers is limited due to the size limit and lack of modularity. Here, we develop Cayley tree-like fractal DNA frameworks to topologically encode the fluorescence states for multiplexed detection of low-abundance targets. Taking advantage of the self-similar topology of Cayley tree, we use only 16 DNA strands to construct n-node (n=53) structures of up to 5 megadalton. The high level of degeneracy allows encoding 36 colours with 7 nodes by site-specifically anchoring of distinct fluorophores onto a structure. The fractal topology minimises fluorescence crosstalk and allows quantitative decoding of quantized fluorescence states. We demonstrate a spectrum of rigid-yet-flexible super-multiplex structures for encoded fluorescence detection of single-molecule recognition events and multiplexed discrimination of living cells. Thus, the topological engineering approach enriches the toolbox for high-throughput cell imaging. Though DNA framework-based scaffolds for biomolecular assembly are attractive for bioimaging applications, realizing super-multiplex fluorescent amplifiers remains a challenge. Here, the authors report a topological engineering approach to designing fractal DNA frameworks for multiplexed amplifiers.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据