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Sensitive and selective detection of Mucin1 in pancreatic cancer using hybridization chain reaction with the assistance of Fe(3)O(4)@polydopamine nanocomposites
Pancreatic cancer is characterized as the worst for diagnosis lacking symptoms at the early stage, which results in a low overall survival rate. The frequently used techniques for pancreatic cancer diagnosis rely on imaging and biopsy, which have limitations in requiring experienced personnel to ope...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867748/ https://www.ncbi.nlm.nih.gov/pubmed/35197099 http://dx.doi.org/10.1186/s12951-022-01289-w |
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author | Dong, Qing Jia, Xiuna Wang, Yuling Wang, Hao Liu, Qiong Li, Dan Wang, Jin Wang, Erkang |
author_facet | Dong, Qing Jia, Xiuna Wang, Yuling Wang, Hao Liu, Qiong Li, Dan Wang, Jin Wang, Erkang |
author_sort | Dong, Qing |
collection | PubMed |
description | Pancreatic cancer is characterized as the worst for diagnosis lacking symptoms at the early stage, which results in a low overall survival rate. The frequently used techniques for pancreatic cancer diagnosis rely on imaging and biopsy, which have limitations in requiring experienced personnel to operate the expensive instruments and analyze the results. Therefore, there is a high demand to develop alternative tools or methods to detect pancreatic cancer. Herein, we propose a new strategy to enhance the detection sensitivity of pancreatic cancer cells both in biofluids and on tissues by combining the unique property of dopamine coated Fe(3)O(4) nanoparticles (Fe(3)O(4)@DOP NPs) to specifically quench and separate free 6-carboxyfluorescein (FAM) labeled DNA (H(1)-FAM/H(2)-FAM), and the key feature of hybridization chain reaction (HCR) amplification. We have determined the limit of detection (LOD) to be 21 ~ 41 cells/mL for three different pancreatic cancer cell lines. It was also discovered that the fluorescence intensity of pancreatic cancer cells was significantly higher than that of HPDE-C7 and HepG-2 cells (control cell lines), which express lower MUC1 protein. Moreover, the HCR amplification system was used to identify the cancer cells on pancreatic tissue, which indicated the versatility of our strategy in clinical application. Therefore, the presented detection strategy shows good sensitivity, specificity and has great potential for the diagnosis of pancreatic cancer. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12951-022-01289-w. |
format | Online Article Text |
id | pubmed-8867748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88677482022-02-25 Sensitive and selective detection of Mucin1 in pancreatic cancer using hybridization chain reaction with the assistance of Fe(3)O(4)@polydopamine nanocomposites Dong, Qing Jia, Xiuna Wang, Yuling Wang, Hao Liu, Qiong Li, Dan Wang, Jin Wang, Erkang J Nanobiotechnology Research Pancreatic cancer is characterized as the worst for diagnosis lacking symptoms at the early stage, which results in a low overall survival rate. The frequently used techniques for pancreatic cancer diagnosis rely on imaging and biopsy, which have limitations in requiring experienced personnel to operate the expensive instruments and analyze the results. Therefore, there is a high demand to develop alternative tools or methods to detect pancreatic cancer. Herein, we propose a new strategy to enhance the detection sensitivity of pancreatic cancer cells both in biofluids and on tissues by combining the unique property of dopamine coated Fe(3)O(4) nanoparticles (Fe(3)O(4)@DOP NPs) to specifically quench and separate free 6-carboxyfluorescein (FAM) labeled DNA (H(1)-FAM/H(2)-FAM), and the key feature of hybridization chain reaction (HCR) amplification. We have determined the limit of detection (LOD) to be 21 ~ 41 cells/mL for three different pancreatic cancer cell lines. It was also discovered that the fluorescence intensity of pancreatic cancer cells was significantly higher than that of HPDE-C7 and HepG-2 cells (control cell lines), which express lower MUC1 protein. Moreover, the HCR amplification system was used to identify the cancer cells on pancreatic tissue, which indicated the versatility of our strategy in clinical application. Therefore, the presented detection strategy shows good sensitivity, specificity and has great potential for the diagnosis of pancreatic cancer. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12951-022-01289-w. BioMed Central 2022-02-23 /pmc/articles/PMC8867748/ /pubmed/35197099 http://dx.doi.org/10.1186/s12951-022-01289-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Dong, Qing Jia, Xiuna Wang, Yuling Wang, Hao Liu, Qiong Li, Dan Wang, Jin Wang, Erkang Sensitive and selective detection of Mucin1 in pancreatic cancer using hybridization chain reaction with the assistance of Fe(3)O(4)@polydopamine nanocomposites |
title | Sensitive and selective detection of Mucin1 in pancreatic cancer using hybridization chain reaction with the assistance of Fe(3)O(4)@polydopamine nanocomposites |
title_full | Sensitive and selective detection of Mucin1 in pancreatic cancer using hybridization chain reaction with the assistance of Fe(3)O(4)@polydopamine nanocomposites |
title_fullStr | Sensitive and selective detection of Mucin1 in pancreatic cancer using hybridization chain reaction with the assistance of Fe(3)O(4)@polydopamine nanocomposites |
title_full_unstemmed | Sensitive and selective detection of Mucin1 in pancreatic cancer using hybridization chain reaction with the assistance of Fe(3)O(4)@polydopamine nanocomposites |
title_short | Sensitive and selective detection of Mucin1 in pancreatic cancer using hybridization chain reaction with the assistance of Fe(3)O(4)@polydopamine nanocomposites |
title_sort | sensitive and selective detection of mucin1 in pancreatic cancer using hybridization chain reaction with the assistance of fe(3)o(4)@polydopamine nanocomposites |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867748/ https://www.ncbi.nlm.nih.gov/pubmed/35197099 http://dx.doi.org/10.1186/s12951-022-01289-w |
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