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Computer-aided design of reversible hybridization chain reaction (CAD-HCR) enables multiplexed single-cell spatial proteomics imaging
In situ spatial proteomics analysis of a single cell has not been achieved yet, mainly because of insufficient throughput and sensitivity of current techniques. Recent progress on immuno-nucleic acid amplification technology presents tremendous opportunities to address this issue. Here, we report an...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759754/ https://www.ncbi.nlm.nih.gov/pubmed/35030012 http://dx.doi.org/10.1126/sciadv.abk0133 |
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author | Liu, Xiaohao Mao, Dongsheng Song, Yuchen Zhu, Liucun Isak, Albertina N. Lu, Cuicui Deng, Guoli Chen, Feng Sun, Fenyong Yang, Yu Zhu, Xiaoli Tan, Weihong |
author_facet | Liu, Xiaohao Mao, Dongsheng Song, Yuchen Zhu, Liucun Isak, Albertina N. Lu, Cuicui Deng, Guoli Chen, Feng Sun, Fenyong Yang, Yu Zhu, Xiaoli Tan, Weihong |
author_sort | Liu, Xiaohao |
collection | PubMed |
description | In situ spatial proteomics analysis of a single cell has not been achieved yet, mainly because of insufficient throughput and sensitivity of current techniques. Recent progress on immuno-nucleic acid amplification technology presents tremendous opportunities to address this issue. Here, we report an innovative hybridization chain reaction (HCR) technique that involves computer-aided design (CAD) and reversible assembly. CAD enables highly multiplexed HCR with a sequence database that can work in parallel, while reversible assembly enables the switching of HCR between a working state and a resting state. Thus, CAD-HCR has been successfully adopted for single-cell spatial proteomics analysis. The fluorescence signal of CAD-HCR is comparable with conventional immunofluorescence, and it is positively correlated with the abundance of target proteins, which is beneficial for the visualization of proteins. The method developed here expands the toolbox of single-cell analysis and proteomics studies, as well as the performance and application of HCR. |
format | Online Article Text |
id | pubmed-8759754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-87597542022-01-27 Computer-aided design of reversible hybridization chain reaction (CAD-HCR) enables multiplexed single-cell spatial proteomics imaging Liu, Xiaohao Mao, Dongsheng Song, Yuchen Zhu, Liucun Isak, Albertina N. Lu, Cuicui Deng, Guoli Chen, Feng Sun, Fenyong Yang, Yu Zhu, Xiaoli Tan, Weihong Sci Adv Physical and Materials Sciences In situ spatial proteomics analysis of a single cell has not been achieved yet, mainly because of insufficient throughput and sensitivity of current techniques. Recent progress on immuno-nucleic acid amplification technology presents tremendous opportunities to address this issue. Here, we report an innovative hybridization chain reaction (HCR) technique that involves computer-aided design (CAD) and reversible assembly. CAD enables highly multiplexed HCR with a sequence database that can work in parallel, while reversible assembly enables the switching of HCR between a working state and a resting state. Thus, CAD-HCR has been successfully adopted for single-cell spatial proteomics analysis. The fluorescence signal of CAD-HCR is comparable with conventional immunofluorescence, and it is positively correlated with the abundance of target proteins, which is beneficial for the visualization of proteins. The method developed here expands the toolbox of single-cell analysis and proteomics studies, as well as the performance and application of HCR. American Association for the Advancement of Science 2022-01-14 /pmc/articles/PMC8759754/ /pubmed/35030012 http://dx.doi.org/10.1126/sciadv.abk0133 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Physical and Materials Sciences Liu, Xiaohao Mao, Dongsheng Song, Yuchen Zhu, Liucun Isak, Albertina N. Lu, Cuicui Deng, Guoli Chen, Feng Sun, Fenyong Yang, Yu Zhu, Xiaoli Tan, Weihong Computer-aided design of reversible hybridization chain reaction (CAD-HCR) enables multiplexed single-cell spatial proteomics imaging |
title | Computer-aided design of reversible hybridization chain reaction (CAD-HCR) enables multiplexed single-cell spatial proteomics imaging |
title_full | Computer-aided design of reversible hybridization chain reaction (CAD-HCR) enables multiplexed single-cell spatial proteomics imaging |
title_fullStr | Computer-aided design of reversible hybridization chain reaction (CAD-HCR) enables multiplexed single-cell spatial proteomics imaging |
title_full_unstemmed | Computer-aided design of reversible hybridization chain reaction (CAD-HCR) enables multiplexed single-cell spatial proteomics imaging |
title_short | Computer-aided design of reversible hybridization chain reaction (CAD-HCR) enables multiplexed single-cell spatial proteomics imaging |
title_sort | computer-aided design of reversible hybridization chain reaction (cad-hcr) enables multiplexed single-cell spatial proteomics imaging |
topic | Physical and Materials Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759754/ https://www.ncbi.nlm.nih.gov/pubmed/35030012 http://dx.doi.org/10.1126/sciadv.abk0133 |
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