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Encoding quantized fluorescence states with fractal DNA frameworks

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 fra...

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Autores principales: Li, Jiang, Dai, Jiangbing, Jiang, Shuoxing, Xie, Mo, Zhai, Tingting, Guo, Linjie, Cao, Shuting, Xing, Shu, Qu, Zhibei, Zhao, Yan, Wang, Fei, Yang, Yang, Liu, Lei, Zuo, Xiaolei, Wang, Lihua, Yan, Hao, Fan, Chunhai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198603/
https://www.ncbi.nlm.nih.gov/pubmed/32366822
http://dx.doi.org/10.1038/s41467-020-16112-z
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author Li, Jiang
Dai, Jiangbing
Jiang, Shuoxing
Xie, Mo
Zhai, Tingting
Guo, Linjie
Cao, Shuting
Xing, Shu
Qu, Zhibei
Zhao, Yan
Wang, Fei
Yang, Yang
Liu, Lei
Zuo, Xiaolei
Wang, Lihua
Yan, Hao
Fan, Chunhai
author_facet Li, Jiang
Dai, Jiangbing
Jiang, Shuoxing
Xie, Mo
Zhai, Tingting
Guo, Linjie
Cao, Shuting
Xing, Shu
Qu, Zhibei
Zhao, Yan
Wang, Fei
Yang, Yang
Liu, Lei
Zuo, Xiaolei
Wang, Lihua
Yan, Hao
Fan, Chunhai
author_sort Li, Jiang
collection PubMed
description 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.
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spelling pubmed-71986032020-05-06 Encoding quantized fluorescence states with fractal DNA frameworks Li, Jiang Dai, Jiangbing Jiang, Shuoxing Xie, Mo Zhai, Tingting Guo, Linjie Cao, Shuting Xing, Shu Qu, Zhibei Zhao, Yan Wang, Fei Yang, Yang Liu, Lei Zuo, Xiaolei Wang, Lihua Yan, Hao Fan, Chunhai Nat Commun Article 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. Nature Publishing Group UK 2020-05-04 /pmc/articles/PMC7198603/ /pubmed/32366822 http://dx.doi.org/10.1038/s41467-020-16112-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Li, Jiang
Dai, Jiangbing
Jiang, Shuoxing
Xie, Mo
Zhai, Tingting
Guo, Linjie
Cao, Shuting
Xing, Shu
Qu, Zhibei
Zhao, Yan
Wang, Fei
Yang, Yang
Liu, Lei
Zuo, Xiaolei
Wang, Lihua
Yan, Hao
Fan, Chunhai
Encoding quantized fluorescence states with fractal DNA frameworks
title Encoding quantized fluorescence states with fractal DNA frameworks
title_full Encoding quantized fluorescence states with fractal DNA frameworks
title_fullStr Encoding quantized fluorescence states with fractal DNA frameworks
title_full_unstemmed Encoding quantized fluorescence states with fractal DNA frameworks
title_short Encoding quantized fluorescence states with fractal DNA frameworks
title_sort encoding quantized fluorescence states with fractal dna frameworks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198603/
https://www.ncbi.nlm.nih.gov/pubmed/32366822
http://dx.doi.org/10.1038/s41467-020-16112-z
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