DNA‐encoded plasmonic bubbles aggregating dual‐microRNA SERS signals for cancer diagnosis
Abstract Solid bubbles have expanded the SERS assay toolbox, but their detection performance in biofluids is still hampered by the irrational design of the plasmonic sensing interface. A plasmonic bubble aggregate‐driven DNA‐encoded SERS assay is reported here that enables simultaneous, ultrasensiti...
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Online Access: | https://doi.org/10.1002/agt2.636 |
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| author | Yu Yang Hao Lu Dan Fang Yuyuan Zhang Yuteng Tang Songsong Zhao Jun Yan Xiaojie Qin Jianlei Shen Fan Yang |
| author_facet | Yu Yang Hao Lu Dan Fang Yuyuan Zhang Yuteng Tang Songsong Zhao Jun Yan Xiaojie Qin Jianlei Shen Fan Yang |
| author_sort | Yu Yang |
| collection | DOAJ |
| description | Abstract Solid bubbles have expanded the SERS assay toolbox, but their detection performance in biofluids is still hampered by the irrational design of the plasmonic sensing interface. A plasmonic bubble aggregate‐driven DNA‐encoded SERS assay is reported here that enables simultaneous, ultrasensitive, and specific detection of multiple miRNAs in blood samples for accurate cancer diagnosis. In this assay, the buoyancy of plasmonic bubbles allows them to self‐aggregate at a droplet apex for SERS reconfiguration, form single‐layer bubble aggregates with plasmonic nanogaps, and prevent the coffee ring effect during evaporation assembly. Furthermore, DNA‐encoded plasmonic bubbles seamlessly couple with dual‐color catalytic hybridization assembly to amplify the specific miRNA‐responsive Raman signal, and function as both an analyte concentrator and a Raman signal aggregator without external forces. Using these merits, this magnet‐free, portable assay achieves femtomolar dual‐miRNA quantitation with single‐base resolution, simultaneous miRNA detection across four cell lines, and accurate cancer diagnosis (AUC = 1) via analyzing 40 blood samples with machine learning, thus providing a promising tool for clinical diagnosis. |
| format | Article |
| id | doaj-art-ad4f7af39a7d4d7b9d2c2761097de25e |
| institution | DOAJ |
| issn | 2692-4560 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Aggregate |
| spelling | doaj-art-ad4f7af39a7d4d7b9d2c2761097de25e2025-08-20T02:49:08ZengWileyAggregate2692-45602024-12-0156n/an/a10.1002/agt2.636DNA‐encoded plasmonic bubbles aggregating dual‐microRNA SERS signals for cancer diagnosisYu Yang0Hao Lu1Dan Fang2Yuyuan Zhang3Yuteng Tang4Songsong Zhao5Jun Yan6Xiaojie Qin7Jianlei Shen8Fan Yang9Guangxi Key Laboratory of Pharmaceutical Precision Detection and Screening Key Laboratory of Micro‐Nanoscale Bioanalysis and Drug Screening of Guangxi Education Department State Key Laboratory of Targeting Oncology Pharmaceutical College Guangxi Medical University Nanning ChinaGuangxi Key Laboratory of Pharmaceutical Precision Detection and Screening Key Laboratory of Micro‐Nanoscale Bioanalysis and Drug Screening of Guangxi Education Department State Key Laboratory of Targeting Oncology Pharmaceutical College Guangxi Medical University Nanning ChinaGuangxi Key Laboratory of Pharmaceutical Precision Detection and Screening Key Laboratory of Micro‐Nanoscale Bioanalysis and Drug Screening of Guangxi Education Department State Key Laboratory of Targeting Oncology Pharmaceutical College Guangxi Medical University Nanning ChinaGuangxi Key Laboratory of Pharmaceutical Precision Detection and Screening Key Laboratory of Micro‐Nanoscale Bioanalysis and Drug Screening of Guangxi Education Department State Key Laboratory of Targeting Oncology Pharmaceutical College Guangxi Medical University Nanning ChinaGuangxi Key Laboratory of Pharmaceutical Precision Detection and Screening Key Laboratory of Micro‐Nanoscale Bioanalysis and Drug Screening of Guangxi Education Department State Key Laboratory of Targeting Oncology Pharmaceutical College Guangxi Medical University Nanning ChinaGuangxi Key Laboratory of Chemistry and Engineering of Forest Products Guangxi Collaborative Innovation Center for Chemistry and Engineering of Forest Products College of Chemistry and Chemical Engineering Guangxi Minzu University Nanning ChinaGuangxi Key Laboratory of Chemistry and Engineering of Forest Products Guangxi Collaborative Innovation Center for Chemistry and Engineering of Forest Products College of Chemistry and Chemical Engineering Guangxi Minzu University Nanning ChinaGuangxi Key Laboratory of Pharmaceutical Precision Detection and Screening Key Laboratory of Micro‐Nanoscale Bioanalysis and Drug Screening of Guangxi Education Department State Key Laboratory of Targeting Oncology Pharmaceutical College Guangxi Medical University Nanning ChinaSchool of Chemistry and Chemical Engineering Shanghai Jiao Tong University Shanghai ChinaGuangxi Key Laboratory of Pharmaceutical Precision Detection and Screening Key Laboratory of Micro‐Nanoscale Bioanalysis and Drug Screening of Guangxi Education Department State Key Laboratory of Targeting Oncology Pharmaceutical College Guangxi Medical University Nanning ChinaAbstract Solid bubbles have expanded the SERS assay toolbox, but their detection performance in biofluids is still hampered by the irrational design of the plasmonic sensing interface. A plasmonic bubble aggregate‐driven DNA‐encoded SERS assay is reported here that enables simultaneous, ultrasensitive, and specific detection of multiple miRNAs in blood samples for accurate cancer diagnosis. In this assay, the buoyancy of plasmonic bubbles allows them to self‐aggregate at a droplet apex for SERS reconfiguration, form single‐layer bubble aggregates with plasmonic nanogaps, and prevent the coffee ring effect during evaporation assembly. Furthermore, DNA‐encoded plasmonic bubbles seamlessly couple with dual‐color catalytic hybridization assembly to amplify the specific miRNA‐responsive Raman signal, and function as both an analyte concentrator and a Raman signal aggregator without external forces. Using these merits, this magnet‐free, portable assay achieves femtomolar dual‐miRNA quantitation with single‐base resolution, simultaneous miRNA detection across four cell lines, and accurate cancer diagnosis (AUC = 1) via analyzing 40 blood samples with machine learning, thus providing a promising tool for clinical diagnosis.https://doi.org/10.1002/agt2.636DNA assemblyDNA‐encoded SERS nanosensorsmicroRNAplasmonic bubbleself‐aggregation nanogap |
| spellingShingle | Yu Yang Hao Lu Dan Fang Yuyuan Zhang Yuteng Tang Songsong Zhao Jun Yan Xiaojie Qin Jianlei Shen Fan Yang DNA‐encoded plasmonic bubbles aggregating dual‐microRNA SERS signals for cancer diagnosis Aggregate DNA assembly DNA‐encoded SERS nanosensors microRNA plasmonic bubble self‐aggregation nanogap |
| title | DNA‐encoded plasmonic bubbles aggregating dual‐microRNA SERS signals for cancer diagnosis |
| title_full | DNA‐encoded plasmonic bubbles aggregating dual‐microRNA SERS signals for cancer diagnosis |
| title_fullStr | DNA‐encoded plasmonic bubbles aggregating dual‐microRNA SERS signals for cancer diagnosis |
| title_full_unstemmed | DNA‐encoded plasmonic bubbles aggregating dual‐microRNA SERS signals for cancer diagnosis |
| title_short | DNA‐encoded plasmonic bubbles aggregating dual‐microRNA SERS signals for cancer diagnosis |
| title_sort | dna encoded plasmonic bubbles aggregating dual microrna sers signals for cancer diagnosis |
| topic | DNA assembly DNA‐encoded SERS nanosensors microRNA plasmonic bubble self‐aggregation nanogap |
| url | https://doi.org/10.1002/agt2.636 |
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