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      DNA walking system integrated with enzymatic cleavage reaction for sensitive surface plasmon resonance detection of miRNA

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          Abstract

          Abnormal expression levels of miRNA are associated with various tumor diseases, for example, glioma tumors are characterized by the up-regulation of miRNA-182. Surface plasmon resonance (SPR) assay for miRNA-182 from glioma patients was performed via DNA walking amplification strategy. The duplex between aminated swing arm DNA (swDNA) and block DNA (blDNA), and aminated track DNA (trDNA) with a biotin tag were tethered on the poly(ethylene glycol) (PEG)-modified chips. Upon formation of miRNA/blDNA duplex, the SPR signal decreased with the walking process of swDNA, as the biotinylated fragment of trDNA (biotin-TTGGAGT) was detached from the sensor surface caused by the nicking endonuclease Nb.BbvCI. Such a repeated hybridization and cleavage cycle occurred continuously and the detachment of more biotinylated fragments of trDNA from the chips led to the attachment of fewer streptavidin (SA) molecules and then smaller SPR signals. MiRNA-182 with concentrations ranging from 5.0 fM to 1.0 pM could be readily determined and a detection limit of 0.62 fM was achieved. The proposed method was highly selective and possessed remarkable capability for evaluating the expression levels of miRNA-182 in serum samples from healthy donors and glioma patients. The sensing protocol holds great promise for early diagnosis of cancer patients.

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          Gold nanoparticles in chemical and biological sensing.

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            Surface plasmon resonance sensors for detection of chemical and biological species.

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              MicroRNA expression profiles classify human cancers.

              Recent work has revealed the existence of a class of small non-coding RNA species, known as microRNAs (miRNAs), which have critical functions across various biological processes. Here we use a new, bead-based flow cytometric miRNA expression profiling method to present a systematic expression analysis of 217 mammalian miRNAs from 334 samples, including multiple human cancers. The miRNA profiles are surprisingly informative, reflecting the developmental lineage and differentiation state of the tumours. We observe a general downregulation of miRNAs in tumours compared with normal tissues. Furthermore, we were able to successfully classify poorly differentiated tumours using miRNA expression profiles, whereas messenger RNA profiles were highly inaccurate when applied to the same samples. These findings highlight the potential of miRNA profiling in cancer diagnosis.
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                Author and article information

                Contributors
                jxiuwang@csu.edu.cn
                yixinyao@csu.edu.cn
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                27 September 2022
                27 September 2022
                2022
                : 12
                : 16093
                Affiliations
                [1 ]GRID grid.216417.7, ISNI 0000 0001 0379 7164, Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, , Central South University, ; Changsha, 410083 Hunan People’s Republic of China
                [2 ]GRID grid.459341.e, ISNI 0000 0004 1758 9923, Henan Province of Key Laboratory of New Optoelectronic Functional Materials, , Anyang Normal University, ; Anyang, 455000 Henan People’s Republic of China
                Article
                20453
                10.1038/s41598-022-20453-8
                9515148
                36167754
                e1eacaf5-32ee-42d7-bbf7-66fa9cd3346c
                © The Author(s) 2022

                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 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/.

                History
                : 5 June 2022
                : 13 September 2022
                Funding
                Funded by: the Program for Innovative Research Team of Science and Technology in the University of Henan Province
                Award ID: 21IRTSTHN005
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 22076221
                Award Recipient :
                Categories
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                © The Author(s) 2022

                Uncategorized
                analytical chemistry,bioanalytical chemistry,sensors
                Uncategorized
                analytical chemistry, bioanalytical chemistry, sensors

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