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Song Y, Jin X, Zhao Y, Cheng S, Xu S, Bu S, Liu L, Zhou C, Pang C. Construction of scalable multi-channel DNA nanoplatform for the combined detection of ctDNA biomarkers of ovarian cancer. Mikrochim Acta 2024; 191:553. [PMID: 39167246 DOI: 10.1007/s00604-024-06632-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Accepted: 08/11/2024] [Indexed: 08/23/2024]
Abstract
Single-level biomarker detection has the limitation of insufficient accuracy in cancer diagnosis. Therefore, the strategy of developing highly sensitive, multi-channel biosensors for high-throughput ctDNA determination is critical to improve the accuracy of early diagnosis of clinical tumors. Herein, in order to achieve efficient detection of up to ten targets for early diagnosis of ovarian cancer, a DNA-nanoswitch-based multi-channel (DNA-NSMC) biosensor was built based on the multi-module catalytic hairpin assembly-mediated signal amplification (CHA) and toehold-mediated DNA strand displacement (TDSD) reaction. Only two different fluorescence signals were used as outputs, combined with modular segmentation strategy of DNA-nanoswitch-based reaction platform; the multi-channel detection of up to ten targets was successfully achieved for the first time. The experimental results suggest that the proposed biosensor is a promising tool for simultaneously detecting multiple biomarkers for the early diagnosis of ovarian cancer, offering new strategies for the early screening, diagnosis, and treatment not only for ovarian cancer but also for other cancers.
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Affiliation(s)
- Yiwei Song
- College of Life Science and Technology, Joint Laboratory of Medical Instrument Innovation, Changchun University of Science and Technology, Changchun, 130000, China
| | - Xiuyan Jin
- College of Life Science and Technology, Joint Laboratory of Medical Instrument Innovation, Changchun University of Science and Technology, Changchun, 130000, China
| | - Yiou Zhao
- College of Life Science and Technology, Joint Laboratory of Medical Instrument Innovation, Changchun University of Science and Technology, Changchun, 130000, China
| | - Shuwen Cheng
- College of Life Science and Technology, Joint Laboratory of Medical Instrument Innovation, Changchun University of Science and Technology, Changchun, 130000, China
| | - Sai Xu
- School of Science, Dalian Maritime University, Dalian, 116026, People's Republic of China
| | - Shengjun Bu
- College of Life Science and Technology, Joint Laboratory of Medical Instrument Innovation, Changchun University of Science and Technology, Changchun, 130000, China
| | - Liming Liu
- College of Life Science and Technology, Joint Laboratory of Medical Instrument Innovation, Changchun University of Science and Technology, Changchun, 130000, China
| | - Chunyang Zhou
- College of Life Science and Technology, Joint Laboratory of Medical Instrument Innovation, Changchun University of Science and Technology, Changchun, 130000, China.
| | - Chunying Pang
- College of Life Science and Technology, Joint Laboratory of Medical Instrument Innovation, Changchun University of Science and Technology, Changchun, 130000, China.
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Ivanov YD, Kapustina SI, Malsagova KA, Goldaeva KV, Pleshakova TO, Galiullin RA, Shumov ID, Kozlov AF, Glukhov AV, Grabezhova VK, Popov VP, Petrov OF, Ziborov VS, Kushlinskii NE, Alferov AA, Konev VA, Kovalev OB, Uchaikin VF, Archakov AI. "Silicon-On-Insulator"-Based Biosensor for the Detection of MicroRNA Markers of Ovarian Cancer. MICROMACHINES 2022; 14:70. [PMID: 36677130 PMCID: PMC9861449 DOI: 10.3390/mi14010070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 12/16/2022] [Accepted: 12/23/2022] [Indexed: 06/17/2023]
Abstract
Ovarian cancer is a gynecological cancer characterized by a high mortality rate and tumor heterogeneity. Its early detection and primary prophylaxis are difficult to perform. Detecting biomarkers for ovarian cancer plays a pivotal role in therapy effectiveness and affects patients' survival. This study demonstrates the detection of microRNAs (miRNAs), which were reported to be associated with ovarian cancer tumorigenesis, with a nanowire biosensor based on silicon-on-insulator structures (SOI-NW biosensor). The advantages of the method proposed for miRNA detection using the SOI-NW biosensor are as follows: (1) no need for additional labeling or amplification reaction during sample preparation, and (2) real-time detection of target biomolecules. The detecting component of the biosensor is a chip with an array of 3 µm wide, 10 µm long silicon nanowires on its surface. The SOI-NW chip was fabricated using the "top-down" method, which is compatible with large-scale CMOS technology. Oligonucleotide probes (oDNA probes) carrying sequences complementary to the target miRNAs were covalently immobilized on the nanowire surface to ensure high-sensitivity biospecific sensing of the target biomolecules. The study involved two experimental series. Detection of model DNA oligonucleotides being synthetic analogs of the target miRNAs was carried out to assess the method's sensitivity. The lowest concentration of the target oligonucleotides detectable in buffer solution was 1.1 × 10-16 M. In the second experimental series, detection of miRNAs (miRNA-21, miRNA-141, and miRNA-200a) isolated from blood plasma samples collected from patients having a verified diagnosis of ovarian cancer was performed. The results of our present study represent a step towards the development of novel highly sensitive diagnostic systems for the early revelation of ovarian cancer in women.
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Affiliation(s)
- Yuri D. Ivanov
- Institute of Biomedical Chemistry (IBMC), 119121 Moscow, Russia
- Joint Institute for High Temperatures of Russian Academy of Sciences, 125412 Moscow, Russia
| | - Svetlana I. Kapustina
- Institute of Biomedical Chemistry (IBMC), 119121 Moscow, Russia
- Department of Cybernetics of Chemical and Technological Processes, Mendeleev University of Chemical Technology of Russia (MUCTR), 125047 Moscow, Russia
| | | | | | | | | | - Ivan D. Shumov
- Institute of Biomedical Chemistry (IBMC), 119121 Moscow, Russia
| | | | - Alexander V. Glukhov
- JSC “Novosibirsk Plant of Semiconductor Devices with OKB”, 630082 Novosibirsk, Russia
| | - Victoria K. Grabezhova
- JSC “Design Center for Biomicroelectronic Technologies “Vega””, 630082 Novosibirsk, Russia
| | - Vladimir P. Popov
- Rzhanov Institute of Semiconductor Physics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia
| | - Oleg F. Petrov
- Joint Institute for High Temperatures of Russian Academy of Sciences, 125412 Moscow, Russia
| | - Vadim S. Ziborov
- Institute of Biomedical Chemistry (IBMC), 119121 Moscow, Russia
- Joint Institute for High Temperatures of Russian Academy of Sciences, 125412 Moscow, Russia
| | | | - Alexander A. Alferov
- N.N. Blokhin National Medical Research Center of Oncology, 115478 Moscow, Russia
| | - Vladimir A. Konev
- Department of Infectious Diseases in Children, Faculty of Pediatrics, Pirogov Russian National Research Medical University (RNRMU), 117997 Moscow, Russia
| | - Oleg B. Kovalev
- Department of Infectious Diseases in Children, Faculty of Pediatrics, Pirogov Russian National Research Medical University (RNRMU), 117997 Moscow, Russia
| | - Vasiliy F. Uchaikin
- Department of Infectious Diseases in Children, Faculty of Pediatrics, Pirogov Russian National Research Medical University (RNRMU), 117997 Moscow, Russia
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Li Y, Guo R, Deng C, Li D, Wu H. A Prussian blue nanoparticles-based fluorescent nanoprobe for monitoring microRNA-92a and microRNA-21. ANAL SCI 2022; 38:497-504. [PMID: 35359267 DOI: 10.2116/analsci.20p455] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 02/05/2021] [Indexed: 11/23/2022]
Abstract
Since microRNA-92a (miR-92a) and microRNA-21 (miR-21) are crucial biomarkers for colorectal cancer (CRC), monitoring miR-92a and miR-21 in serum is very significant for the early diagnosis of CRC. In this work, we developed a simple and sensitive fluorescent biosensor for the detection of miR-92a and miR-21 based on the quenching ability of Prussian blue nanoparticles (PBNPs) to fluorophores. Carboxyl fluorescein (FAM)-modified ssDNA (P-92a) and Cyanine 5 (Cy5)-modified ssDNA (P-21) were completely complementary to miR-92a and miR-21 separately. They were adsorbed on PBNPs surface by the binding of PO43- in DNA and Fe3+ in PBNPs to fabricate the P-92a + P-21@PBNPs sensing system. The fluorescence responses from P-92a + P-21@PBNPs show good selection to miR-92a and a great linear process with the miR-92a concentration ranging from 1 to 30 nM (ΔF = 10.978 cmiR-92a + 71.457). Meanwhile, the fluorescence responses from P-92a + P-21@PBNPs is linearly relative to miR-21 from 3 to 30 nM; the linear equation is ΔF = 5.7560 cmiR-21 + 48.729. Furthermore, the detections of miR-92a and miR-21 added in serum samples were achieved. In summary, this method is sensitive, highly specific, time-saving, cost-effective and applicable for the detection of miR-92a and miR-21. Therefore, this present sensor was expected to be used in clinical applications, which lays a potential foundation for an early diagnosis of cancer.
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Affiliation(s)
- Yao Li
- Hunan Provincial Key Laboratory of Micro and Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, People's Republic of China
| | - Ren Guo
- Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
| | - Chunyan Deng
- Hunan Provincial Key Laboratory of Micro and Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, People's Republic of China.
| | - Dai Li
- National Institution of Drug Clinical Trial, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
| | - Huiyun Wu
- Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, 100850, People's Republic of China
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