arrow
Return

Encoding quantized fluorescence states with fractal DNA frameworks

delete2020-05-04
delete48
delete
OA
AI
李江 (Jiang Li)
J
Jiangbing Dai
S
Shuoxing Jiang
M
Mo Xie
T
Tingting Zhai
L
Linjie Guo
S
Shuting Cao
邢述 cover
邢述 (Shu Xing)
渠志倍 (Zhibei Qu)
Y
Yan Zhao
F
Fei Wang
杨阳 (Yang Yang)
刘蕾 cover
刘蕾 (Lei Liu)
左小磊 (Xiaolei Zuo)
王立华 (Lihua Wang) *
H
Hao Yan *
樊春海 cover
樊春海 (Chunhai Fan) *
DOI:10.1038/s41467-020-16112-zdelete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
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.
Keywords:
MESSENGER-RNA
TRANSLATION DYNAMICS
GENE-EXPRESSION
SINGLE
TRANSCRIPTION
NANOSTRUCTURES
RECRUITMENT
MOLECULES
DELIVERY
SHAPES
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Nature Communications cover
Nature Communications
IF:
15.7
Papers:
9.2W
Citations:
91.2W

Organization

S
shanghai advanced research institute, cas
Scholars:
1.6K
Papers: 1.3K
Citations: 12
Z
Zhangjiang Laboratory
Scholars:
491
Papers: 379
Citations: 2
C
chinese academy of sciences
Scholars:
55.3W
Papers: 44.6W
Citations: 704
researcher View more organizations