1
|
Yao Y, Liu Y, Liu X, Zhang X, Shi P, Zhang X, Zhang Q, Wei X. Bubble DNA tweezer: A triple-conformation sensor responsive to concentration-ratios. iScience 2024; 27:109074. [PMID: 38361618 PMCID: PMC10867447 DOI: 10.1016/j.isci.2024.109074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 01/12/2024] [Accepted: 01/26/2024] [Indexed: 02/17/2024] Open
Abstract
DNA tweezers, with their elegant simplicity and flexibility, have been pivotal in biosensing and DNA computing. However, conventional tweezers are confined to a binary transformation pre/post target signal recognition, limiting them to presence/absence judgments. This study introduces bubble DNA tweezers (BDT), capable of three distinct conformations based on variable target signal ratios. In contrast to traditional compact tweezers, BDT features a looser structure centered around a non-complementary bubble domain located between the tweezer arms' connecting axis and target signal recognition jaws. This bubble triggers toehold-free DNA strand displacement, leading to three conformational changes at different target signal concentrations. BDT detects presence/absence and true concentration with remarkable specificity and sensitivity. This adaptability is not confined to ideal scenarios, proving valuable in complex, noisy environments. Our method facilitates target DNA/miRNA signal quantification within a specific length range, promising applications in clinical research and environmental detection, while inspiring future biological assay innovations.
Collapse
Affiliation(s)
- Yao Yao
- School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Yuan Liu
- School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Xin Liu
- School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Xun Zhang
- School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Peijun Shi
- School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Xiaokang Zhang
- School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Qiang Zhang
- School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Xiaopeng Wei
- School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China
| |
Collapse
|
2
|
Lee SH, Brianna. Association of microRNA-21 expression with breast cancer subtypes and its potential as an early biomarker. Pathol Res Pract 2024; 254:155073. [PMID: 38218039 DOI: 10.1016/j.prp.2023.155073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 12/29/2023] [Indexed: 01/15/2024]
Abstract
Breast cancer has become the most diagnosed cancer worldwide in 2020 with high morbidity and mortality rates. The alarming increase in breast cancer incidence has sprung many researchers to focus on developing novel screening tests to identify early breast cancer which will allow clinicians to provide timely and effective treatments. With much evidence supporting the notion that the deregulation of miRNAs (a class of non-coding RNA) greatly contributes to cancer initiation and progression, the promising role of miRNAs as cancer biomarkers is gaining traction in the research world. Among the upregulated miRNAs identified in breast carcinogenesis, miR-21 was shown to be significantly expressed in breast cancer tissues and bodily fluids of breast cancer patients. Therein, this review paper aims to provide an overview of breast cancer, the role and significance of miR-21 in breast cancer pathogenesis, and its potential as a breast cancer biomarker. The paper also discusses the current types of tumor biomarkers and their limitations, the presence of miR-21 in extracellular vesicles and plasma, screening methods available for miRNA detection along with some challenges faced in developing diagnostic miR-21 testing for breast cancer to provide readers with a comprehensive outlook based on using miR-21 in clinical settings.
Collapse
Affiliation(s)
- Sau Har Lee
- School of Biosciences, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya 47500, Malaysia; Digital Health and Medical Advancements Impact Lab, Taylor's University, Subang Jaya 47500, Malaysia.
| | - Brianna
- Department of Medical Sciences, School of Medical and Life Sciences, Sunway University, Jalan Universiti, Bandar Sunway, Darul Ehsan, Selangor 47500, Malaysia
| |
Collapse
|
3
|
Wang ZY, Sun MH, Zhang Q, Li PF, Wang K, Li XM. Advances in Point-of-Care Testing of microRNAs Based on Portable Instruments and Visual Detection. BIOSENSORS 2023; 13:747. [PMID: 37504145 PMCID: PMC10377738 DOI: 10.3390/bios13070747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 07/14/2023] [Accepted: 07/17/2023] [Indexed: 07/29/2023]
Abstract
MicroRNAs (miRNAs) are a class of small noncoding RNAs that are approximately 22 nt in length and regulate gene expression post-transcriptionally. miRNAs play a vital role in both physiological and pathological processes and are regarded as promising biomarkers for cancer, cardiovascular diseases, neurodegenerative diseases, and so on. Accurate detection of miRNA expression level in clinical samples is important for miRNA-guided diagnostics. However, the common miRNA detection approaches like RNA sequencing, qRT-PCR, and miRNA microarray are performed in a professional laboratory with complex intermediate steps and are time-consuming and costly, challenging the miRNA-guided diagnostics. Hence, sensitive, highly specific, rapid, and easy-to-use detection of miRNAs is crucial for clinical diagnosis based on miRNAs. With the advantages of being specific, sensitive, efficient, cost-saving, and easy to operate, point-of-care testing (POCT) has been widely used in the detection of miRNAs. For the first time, we mainly focus on summarizing the research progress in POCT of miRNAs based on portable instruments and visual readout methods. As widely available pocket-size portable instruments and visual detection play important roles in POCT, we provide an all-sided discussion of the principles of these methods and their main limitations and challenges, in order to provide a guide for the development of more accurate, specific, and sensitive POCT methods for miRNA detection.
Collapse
Affiliation(s)
- Zhong-Yu Wang
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, 1 Ningde Road, Qingdao 266073, China
| | - Ming-Hui Sun
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, 1 Ningde Road, Qingdao 266073, China
| | - Qun Zhang
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, 1 Ningde Road, Qingdao 266073, China
| | - Pei-Feng Li
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, 1 Ningde Road, Qingdao 266073, China
| | - Kun Wang
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, 1 Ningde Road, Qingdao 266073, China
| | - Xin-Min Li
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, 1 Ningde Road, Qingdao 266073, China
| |
Collapse
|
4
|
Wang H, Wang H, Huang Y, Zhang H, Fu Y, Yang Z, Chen Y, Qiu X, Yu D, Zhang L. Multi-parameter surface plasmon resonance instrument for multiple nucleic acid quantitative detection. Biomed Microdevices 2023; 25:24. [PMID: 37418065 DOI: 10.1007/s10544-023-00664-0] [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] [Accepted: 06/14/2023] [Indexed: 07/08/2023]
Abstract
Multiplex nucleic acid assays can simultaneously detect the characteristics of different target nucleic acids in complex mixtures and are used in disease diagnosis, environmental monitoring, and food safety. However, traditional nucleic acid amplification assays have limitations such as complicated operation, long detection time, unstable fluorescent labeling, and mutual interference of multiplex nucleic acids. We developed a real-time, rapid, and label-free surface plasmon resonance (SPR) instrument for multiplex nucleic acid detection. The multiparametric optical system based on total internal reflection solves the multiplex detection problem by cooperating with linear light source, prism, photodetector, and mechanical transmission system. An adaptive threshold consistency correction algorithm is proposed to solve the problem of inconsistent responsiveness of different detection channels and the inability of quantitative comparison. The instrument achieves label-free and amplification-free rapid detection of these biomarkers for miRNA-21 and miRNA-141, which are widely expressed in breast cancer and prostate cancer. The multiplex nucleic acid detection takes 30 min and the biosensor has good repeatability and specificity. The instrument has a limit of detection (LODs) of 50 nM for target oligonucleotides, and the smallest absolute amount of sample that can be detected is about 4 pmol. It provides a simple and efficient point-of-care testing (POCT) detection platform for small molecules such as DNA and miRNA.
Collapse
Affiliation(s)
- Huixiang Wang
- College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Honggang Wang
- College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Yafeng Huang
- College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Hao Zhang
- College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Yongdong Fu
- College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Zhenwei Yang
- Core Facility for Protein Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yuanyuan Chen
- Core Facility for Protein Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xianbo Qiu
- College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Duli Yu
- College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Lulu Zhang
- College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China.
| |
Collapse
|