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Lehnert T, Gijs MAM. Microfluidic systems for infectious disease diagnostics. LAB ON A CHIP 2024; 24:1441-1493. [PMID: 38372324 DOI: 10.1039/d4lc00117f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Microorganisms, encompassing both uni- and multicellular entities, exhibit remarkable diversity as omnipresent life forms in nature. They play a pivotal role by supplying essential components for sustaining biological processes across diverse ecosystems, including higher host organisms. The complex interactions within the human gut microbiota are crucial for metabolic functions, immune responses, and biochemical signalling, particularly through the gut-brain axis. Viruses also play important roles in biological processes, for example by increasing genetic diversity through horizontal gene transfer when replicating inside living cells. On the other hand, infection of the human body by microbiological agents may lead to severe physiological disorders and diseases. Infectious diseases pose a significant burden on global healthcare systems, characterized by substantial variations in the epidemiological landscape. Fast spreading antibiotic resistance or uncontrolled outbreaks of communicable diseases are major challenges at present. Furthermore, delivering field-proven point-of-care diagnostic tools to the most severely affected populations in low-resource settings is particularly important and challenging. New paradigms and technological approaches enabling rapid and informed disease management need to be implemented. In this respect, infectious disease diagnostics taking advantage of microfluidic systems combined with integrated biosensor-based pathogen detection offers a host of innovative and promising solutions. In this review, we aim to outline recent activities and progress in the development of microfluidic diagnostic tools. Our literature research mainly covers the last 5 years. We will follow a classification scheme based on the human body systems primarily involved at the clinical level or on specific pathogen transmission modes. Important diseases, such as tuberculosis and malaria, will be addressed more extensively.
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Affiliation(s)
- Thomas Lehnert
- Laboratory of Microsystems, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland.
| | - Martin A M Gijs
- Laboratory of Microsystems, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland.
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2
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Jin Z, Dong Z, Zhao X, Hang X, Lu Y, Zhang Q, Chen H, Huang Z, Wang Y, Zhou G, Chang L. Sensitive, rapid detection of NCOA4-m6A towards precisely quantifying radiation dosage on a Cas13a-Microdroplet platform. Biosens Bioelectron 2023; 242:115753. [PMID: 37839351 DOI: 10.1016/j.bios.2023.115753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/26/2023] [Accepted: 10/10/2023] [Indexed: 10/17/2023]
Abstract
Precise quantification of low-dose ionizing radiation is of great significance in protecting people from damage caused by clinical radiotherapy or environmental radiation. Traditional techniques for detecting radiation, however, remain extreme challenges to achieve high sensitivity and speed in quantifying radiation dosage. In this work, we report a Cas13a-Microdroplet platform that enables sensitive detection of ultra-low doses of radiation (0.5 Gy vs. 1 Gy traditional) within 1 h. The micro-platform adopts an ideal, specific radiation-sensitive marker, m6A on NCOA4 gene (NCOA4-m6A) that was first reported in our recent work. Microfluidics of the platform generate uniform microdroplets that encapsulate a CRISPR/Cas13a detection system and NCOA4-m6A target from the whole RNA extraction, achieving 10-fold enhancement in sensitivity and significantly reduced limit of detection (LOD). Systematic mouse models and clinical patient samples demonstrated its superior sensitivity and LOD (0.5 Gy) than traditional qPCR, which show wide potentials in radiation tracking and damage protection.
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Affiliation(s)
- Zhiyuan Jin
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Zaizai Dong
- School of Engineering Medicine, Beihang University, Beijing, 100191, China.
| | - Xi Zhao
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, 100850, China
| | - Xinxin Hang
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Yiming Lu
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, 100850, China; School of Life Science, University of Hebei, Baoding, 071002, China
| | - Qi Zhang
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, 100850, China; School of Medicine, University of South China, Hengyang, 421001, China
| | - Hongxia Chen
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, 100850, China
| | - Zhaocun Huang
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Yusen Wang
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Gangqiao Zhou
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, 100850, China; School of Life Science, University of Hebei, Baoding, 071002, China; School of Medicine, University of South China, Hengyang, 421001, China; Collaborative Innovation Center for Personalized Cancer Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
| | - Lingqian Chang
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China; School of Biomedical Engineering, Research and Engineering Center of Biomedical Materials, Anhui Medical University, Hefei, 230032, China.
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3
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Chen F, Hu Q, Li H, Xie Y, Xiu L, Zhang Y, Guo X, Yin K. Multiplex Detection of Infectious Diseases on Microfluidic Platforms. BIOSENSORS 2023; 13:bios13030410. [PMID: 36979622 PMCID: PMC10046538 DOI: 10.3390/bios13030410] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/15/2023] [Accepted: 03/20/2023] [Indexed: 05/31/2023]
Abstract
Infectious diseases contribute significantly to the global disease burden. Sensitive and accurate screening methods are some of the most effective means of identifying sources of infection and controlling infectivity. Conventional detecting strategies such as quantitative polymerase chain reaction (qPCR), DNA sequencing, and mass spectrometry typically require bulky equipment and well-trained personnel. Therefore, mass screening of a large population using conventional strategies during pandemic periods often requires additional manpower, resources, and time, which cannot be guaranteed in resource-limited settings. Recently, emerging microfluidic technologies have shown the potential to replace conventional methods in performing point-of-care detection because they are automated, miniaturized, and integrated. By exploiting the spatial separation of detection sites, microfluidic platforms can enable the multiplex detection of infectious diseases to reduce the possibility of misdiagnosis and incomplete diagnosis of infectious diseases with similar symptoms. This review presents the recent advances in microfluidic platforms used for multiplex detection of infectious diseases, including microfluidic immunosensors and microfluidic nucleic acid sensors. As representative microfluidic platforms, lateral flow immunoassay (LFIA) platforms, polymer-based chips, paper-based devices, and droplet-based devices will be discussed in detail. In addition, the current challenges, commercialization, and prospects are proposed to promote the application of microfluidic platforms in infectious disease detection.
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Affiliation(s)
- Fumin Chen
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, No. 227 Chongqing South Road, Shanghai 200025, China
- One Health Center, Shanghai Jiao Tong University—The University of Edinburgh, Shanghai 200025, China
| | - Qinqin Hu
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, No. 227 Chongqing South Road, Shanghai 200025, China
- One Health Center, Shanghai Jiao Tong University—The University of Edinburgh, Shanghai 200025, China
| | - Huimin Li
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, No. 227 Chongqing South Road, Shanghai 200025, China
- One Health Center, Shanghai Jiao Tong University—The University of Edinburgh, Shanghai 200025, China
| | - Yi Xie
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, No. 227 Chongqing South Road, Shanghai 200025, China
- One Health Center, Shanghai Jiao Tong University—The University of Edinburgh, Shanghai 200025, China
| | - Leshan Xiu
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, No. 227 Chongqing South Road, Shanghai 200025, China
- One Health Center, Shanghai Jiao Tong University—The University of Edinburgh, Shanghai 200025, China
| | - Yuqian Zhang
- Department of Surgery, Division of Surgery Research, Mayo Clinic, Rochester, MN 55905, USA
- Microbiome Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Xiaokui Guo
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, No. 227 Chongqing South Road, Shanghai 200025, China
- One Health Center, Shanghai Jiao Tong University—The University of Edinburgh, Shanghai 200025, China
| | - Kun Yin
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, No. 227 Chongqing South Road, Shanghai 200025, China
- One Health Center, Shanghai Jiao Tong University—The University of Edinburgh, Shanghai 200025, China
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Shan J, Wu T, Wei W, Huang J, Li Y, Zou B, Ma Y, Cui L, Wu H, Zhou G. Visualized RNA detection of SARS-CoV-2 in a closed tube by coupling RT-PCR with nested invasive reaction. Analyst 2023; 148:995-1004. [PMID: 36723063 DOI: 10.1039/d2an01679f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
A simple, cost-effective and reliable diagnosis of pathogen nucleic acids assay is much required for controlling a pandemic of a virus disease, such as COVID-19. Our previously developed visualized detection of pathogen DNA in a single closed tube is very suitable for POCT. However, virus RNA could not be detected directly and should be reverse-transcribed into cDNA in advance. To enable this visualized assay to detect virus RNA directly, various types of reverse transcriptase were investigated, and finally we found that HiScript II reverse transcriptase could keep active and be well adapted to the one-pot visualized assay in optimized conditions. Reverse transcription, template amplification and amplicon identification by PCR coupled with invasive reaction, as well as visualization by self-assembling of AuNP probes could be automatically and sequentially performed in a closed tube under different temperature conditions, achieving "sample (RNA)-in-result (red color)-out" only by a simple PCR engine plus the naked eye. The visualized RT-PCR is sensitive to unambiguous detection of 5 copies of the N and ORFlab genes of SARS-CoV-2 RNA comparing favourably with qPCR methods (commercialized kit), is specific to genotype 3 variants (Alpha, Beta and Omicron) of SARS-CoV-2, and is very accurate for picking up 0.01% Omicron variant from a large amount of sequence-similar backgrounds. The method is employed in detecting 50 clinical samples, and 10 of them were detected as SARS-CoV-2 positive samples, identical to those by conventional RT-PCR, indicating that the method is cost-effective and labor-saving for pathogen RNA screening in resource-limited regions.
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Affiliation(s)
- Jingwen Shan
- Department of Clinical Pharmacy, Jinling Hospital, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, 510515, China.
| | - Tao Wu
- NHC Key laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China.
| | - Wei Wei
- Department of Clinical Pharmacy, Jinling Hospital, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, 510515, China.
| | - Jinling Huang
- Department of Clinical Pharmacy, Jinling Hospital, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, 510515, China.
| | - Yijun Li
- Department of Clinical Pharmacy, Jinling Hospital, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, 510515, China.
| | - Bingjie Zou
- Department of Clinical Pharmacy, Jinling Hospital, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, 510515, China. .,School of Life Science and Technology, China Pharmaceutical University, Nanjing, 210009, China
| | - Yi Ma
- State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing, 210023, China
| | - Lunbiao Cui
- NHC Key laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China.
| | - Haiping Wu
- Department of Clinical Pharmacy, Jinling Hospital, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, 510515, China. .,School of Life Science and Technology, China Pharmaceutical University, Nanjing, 210009, China
| | - Guohua Zhou
- Department of Clinical Pharmacy, Jinling Hospital, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, 510515, China. .,School of Life Science and Technology, China Pharmaceutical University, Nanjing, 210009, China.,State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing, 210023, China.,School of Pharmacy, Nanjing Medical University, Nanjing, 211166, China
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5
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Tackling the issue of healthcare associated infections through point-of-care devices. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.116983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
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6
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Hou Y, Chen S, Zheng Y, Zheng X, Lin JM. Droplet-based digital PCR (ddPCR) and its applications. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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7
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Ultrafast PCR Detection of COVID-19 by Using a Microfluidic Chip-Based System. Bioengineering (Basel) 2022; 9:bioengineering9100548. [PMID: 36290516 PMCID: PMC9598518 DOI: 10.3390/bioengineering9100548] [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: 09/19/2022] [Revised: 10/02/2022] [Accepted: 10/10/2022] [Indexed: 11/17/2022] Open
Abstract
With the evolution of the pandemic caused by the Coronavirus disease of 2019 (COVID-19), reverse transcriptase-polymerase chain reactions (RT-PCR) have invariably been a golden standard in clinical diagnosis. Nevertheless, the traditional polymerase chain reaction (PCR) is not feasible for field application due to its drawbacks, such as time-consuming and laboratory-based dependence. To overcome these challenges, a microchip-based ultrafast PCR system called SWM-02 was proposed to make PCR assay in a rapid, portable, and low-cost strategy. This novel platform can perform 6-sample detection per run using multiple fluorescent channels and complete an ultrafast COVID-19 RT-PCR test within 40 min. Here, we evaluated the performance of the microdevice using the gradient-diluted COVID-19 reference samples and commercial PCR kit and determined its limit-of-detection (LoD) as 500 copies/mL, whose variation coefficients for the nucleocapsid (N) gene and open reading frame 1 ab region (ORF1ab) gene are 1.427% and 0.7872%, respectively. The system also revealed an excellent linear correlation between cycle threshold (Ct) values and dilution factors (R2 > 0.99). Additionally, we successfully detected the target RNAs and internal gene in the clinical samples by fast PCR, which shows strong consistency with conventional PCR protocol. Hence, with compact dimension, user-friendly design, and fast processing time, SWM-02 has the capability of offering timely and sensitive on-site molecular diagnosis for prevention and control of pathogen transmission.
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8
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Liu L, Duan JJ, Wei XY, Hu H, Wang YB, Jia PP, Pei DS. Generation and application of a novel high-throughput detection based on RPA-CRISPR technique to sensitively monitor pathogenic microorganisms in the environment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 838:156048. [PMID: 35597342 DOI: 10.1016/j.scitotenv.2022.156048] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 05/14/2022] [Accepted: 05/14/2022] [Indexed: 06/15/2023]
Abstract
Staphylococcus aureus (S. aureus) is an important opportunistic human and animal pathogen that can cause a wide diversity of infections. Due to its environmental health risks, it is crucial to establish a time-saving, high-throughput, and highly sensitive technique for water quality surveillance. In this study, we developed a novel method to detect S. aureus in the water environment based on recombinase polymerase amplification (RPA) and CRISPR/Cas12a. This method utilizes isothermal amplification of nucleic acids and the trans-cleavage activity of the CRISPR/Cas12a system to generate fluorescence signals with a single-stranded DNA-fluorophore-quencher (ssDNA-FQ) reporter and a naked-eye detected lateral flow assay (LFA). Our RPA-CRISPR/Cas12a detection system can reduce the detection time to 35 min and enhance the high-throughput detection threshold to ≥5 copies of pathogen DNA, which is more sensitive than that of reported. Moreover, in the lower reaches of the Jialing River in Chongqing, China, 10 water samples from the mainstream and 7 ones from tributaries were successfully monitored S. aureus for less than 35 min using RPA-CRISPR/Cas12a detection system. Taken together, a novel high-throughput RPA-CRISPR detection was established and firstly applied for sensitively monitoring S. aureus in the natural water environment.
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Affiliation(s)
- Li Liu
- Chongqing Institute of Green and Intelligent Technology, Chongqing School of University of Chinese Academy of Sciences, Chinese Academy of Sciences, Chongqing 400714, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jin-Jing Duan
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China
| | - Xing-Yi Wei
- Chongqing Institute of Green and Intelligent Technology, Chongqing School of University of Chinese Academy of Sciences, Chinese Academy of Sciences, Chongqing 400714, China; Chongqing Jiaotong University, Chongqing 400074, China
| | - Huan Hu
- Chongqing Institute of Green and Intelligent Technology, Chongqing School of University of Chinese Academy of Sciences, Chinese Academy of Sciences, Chongqing 400714, China; Chongqing Jiaotong University, Chongqing 400074, China
| | - Yuan-Bo Wang
- Chongqing Institute of Green and Intelligent Technology, Chongqing School of University of Chinese Academy of Sciences, Chinese Academy of Sciences, Chongqing 400714, China; Chongqing Jiaotong University, Chongqing 400074, China
| | - Pan-Pan Jia
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China
| | - De-Sheng Pei
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
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9
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Jiang C, Fu Y, Liu G, Shu B, Davis J, Tofaris GK. Multiplexed Profiling of Extracellular Vesicles for Biomarker Development. NANO-MICRO LETTERS 2021; 14:3. [PMID: 34855021 PMCID: PMC8638654 DOI: 10.1007/s40820-021-00753-w] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Accepted: 10/22/2021] [Indexed: 05/09/2023]
Abstract
Extracellular vesicles (EVs) are cell-derived membranous particles that play a crucial role in molecular trafficking, intercellular transport and the egress of unwanted proteins. They have been implicated in many diseases including cancer and neurodegeneration. EVs are detected in all bodily fluids, and their protein and nucleic acid content offers a means of assessing the status of the cells from which they originated. As such, they provide opportunities in biomarker discovery for diagnosis, prognosis or the stratification of diseases as well as an objective monitoring of therapies. The simultaneous assaying of multiple EV-derived markers will be required for an impactful practical application, and multiplexing platforms have evolved with the potential to achieve this. Herein, we provide a comprehensive overview of the currently available multiplexing platforms for EV analysis, with a primary focus on miniaturized and integrated devices that offer potential step changes in analytical power, throughput and consistency.
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Affiliation(s)
- Cheng Jiang
- Nuffield Department of Clinical Neurosciences, New Biochemistry Building, University of Oxford, Oxford, OX1 3QU, UK.
- Department of Chemistry, University of Oxford, Oxford, OX1 3QZ, UK.
- Kavli Institute for Nanoscience Discovery, New Biochemistry Building, University of Oxford, Oxford, UK.
| | - Ying Fu
- Department of Chemistry, University of Oxford, Oxford, OX1 3QZ, UK
| | - Guozhen Liu
- School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, 518172, People's Republic of China
| | - Bowen Shu
- Dermatology Hospital, Southern Medical University, Guangzhou, 510091, People's Republic of China
| | - Jason Davis
- Department of Chemistry, University of Oxford, Oxford, OX1 3QZ, UK.
| | - George K Tofaris
- Nuffield Department of Clinical Neurosciences, New Biochemistry Building, University of Oxford, Oxford, OX1 3QU, UK.
- Kavli Institute for Nanoscience Discovery, New Biochemistry Building, University of Oxford, Oxford, UK.
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Xu Y, Yu X, Zhang M, Zheng Q, Sun Z, He Y, Guo W. Promising Advances in LINC01116 Related to Cancer. Front Cell Dev Biol 2021; 9:736927. [PMID: 34722518 PMCID: PMC8553226 DOI: 10.3389/fcell.2021.736927] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 09/24/2021] [Indexed: 01/11/2023] Open
Abstract
Long non-coding RNAs (lncRNAs) are RNAs with a length of no less than 200 nucleotides that are not translated into proteins. Accumulating evidence indicates that lncRNAs are pivotal regulators of biological processes in several diseases, particularly in several malignant tumors. Long intergenic non-protein coding RNA 1116 (LINC01116) is a lncRNA, whose aberrant expression is correlated with a variety of cancers, including lung cancer, gastric cancer, colorectal cancer, glioma, and osteosarcoma. LINC01116 plays a crucial role in facilitating cell proliferation, invasion, migration, and apoptosis. In addition, numerous studies have recently suggested that LINC01116 has emerged as a novel biomarker for prognosis and therapy in malignant tumors. Consequently, we summarize the clinical significance of LINC01116 associated with biological processes in various tumors and provide a hopeful orientation to guide clinical treatment of various cancers in future studies.
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Affiliation(s)
- Yating Xu
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Open and Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Zhengzhou, China.,Henan Key Laboratory of Digestive Organ Transplantation, Zhengzhou, China
| | - Xiao Yu
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Open and Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Zhengzhou, China.,Henan Key Laboratory of Digestive Organ Transplantation, Zhengzhou, China
| | - Menggang Zhang
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Open and Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Zhengzhou, China.,Henan Key Laboratory of Digestive Organ Transplantation, Zhengzhou, China
| | - Qingyuan Zheng
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Open and Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Zhengzhou, China.,Henan Key Laboratory of Digestive Organ Transplantation, Zhengzhou, China
| | - Zongzong Sun
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuting He
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Open and Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Zhengzhou, China.,Henan Key Laboratory of Digestive Organ Transplantation, Zhengzhou, China
| | - Wenzhi Guo
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Open and Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Zhengzhou, China.,Henan Key Laboratory of Digestive Organ Transplantation, Zhengzhou, China
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