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Keshavarzi Arshadi A, Salem M, Karner H, Garcia K, Arab A, Yuan JS, Goodarzi H. Functional microRNA-targeting drug discovery by graph-based deep learning. PATTERNS (NEW YORK, N.Y.) 2024; 5:100909. [PMID: 38264717 PMCID: PMC10801238 DOI: 10.1016/j.patter.2023.100909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 11/09/2023] [Accepted: 12/07/2023] [Indexed: 01/25/2024]
Abstract
MicroRNAs are recognized as key drivers in many cancers but targeting them with small molecules remains a challenge. We present RiboStrike, a deep-learning framework that identifies small molecules against specific microRNAs. To demonstrate its capabilities, we applied it to microRNA-21 (miR-21), a known driver of breast cancer. To ensure selectivity toward miR-21, we performed counter-screens against miR-122 and DICER. Auxiliary models were used to evaluate toxicity and rank the candidates. Learning from various datasets, we screened a pool of nine million molecules and identified eight, three of which showed anti-miR-21 activity in both reporter assays and RNA sequencing experiments. Target selectivity of these compounds was assessed using microRNA profiling and RNA sequencing analysis. The top candidate was tested in a xenograft mouse model of breast cancer metastasis, demonstrating a significant reduction in lung metastases. These results demonstrate RiboStrike's ability to nominate compounds that target the activity of miRNAs in cancer.
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Affiliation(s)
- Arash Keshavarzi Arshadi
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Milad Salem
- Department of Computer Engineering, University of Central Florida, Orlando, FL, USA
| | - Heather Karner
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Kristle Garcia
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Abolfazl Arab
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Jiann Shiun Yuan
- Department of Computer Engineering, University of Central Florida, Orlando, FL, USA
| | - Hani Goodarzi
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
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Arshadi AK, Salem M, Karner H, Garcia K, Arab A, Yuan JS, Goodarzi H. Functional microRNA-Targeting Drug Discovery by Graph-Based Deep Learning. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.13.524005. [PMID: 36711761 PMCID: PMC9882104 DOI: 10.1101/2023.01.13.524005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
MicroRNAs are recognized as key drivers in many cancers, but targeting them with small molecules remains a challenge. We present RiboStrike, a deep learning framework that identifies small molecules against specific microRNAs. To demonstrate its capabilities, we applied it to microRNA-21 (miR-21), a known driver of breast cancer. To ensure the selected molecules only targeted miR-21 and not other microRNAs, we also performed a counter-screen against DICER, an enzyme involved in microRNA biogenesis. Additionally, we used auxiliary models to evaluate toxicity and select the best candidates. Using datasets from various sources, we screened a pool of nine million molecules and identified eight, three of which showed anti-miR-21 activity in both reporter assays and RNA sequencing experiments. One of these was also tested in mouse models of breast cancer, resulting in a significant reduction of lung metastases. These results demonstrate RiboStrike’s ability to effectively screen for microRNA-targeting compounds in cancer.
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Fluorescent Biosensors for the Detection of Viruses Using Graphene and Two-Dimensional Carbon Nanomaterials. BIOSENSORS 2022; 12:bios12070460. [PMID: 35884263 PMCID: PMC9312944 DOI: 10.3390/bios12070460] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 06/13/2022] [Accepted: 06/14/2022] [Indexed: 11/16/2022]
Abstract
Two-dimensional carbon nanomaterials have been commonly employed in the field of biosensors to improve their sensitivity/limits of detection and shorten the analysis time. These nanomaterials act as efficient transducers because of their unique characteristics, such as high surface area and optical, electrical, and magnetic properties, which in turn have been exploited to create simple, quick, and low-cost biosensing platforms. In this review, graphene and two-dimensional carbon material-based fluorescent biosensors are covered between 2010 and 2021, for the detection of different human viruses. This review specifically focuses on the new developments in graphene and two-dimensional carbon nanomaterials for fluorescent biosensing based on the Förster resonance energy transfer (FRET) mechanism. The high-efficiency quenching capability of graphene via the FRET mechanism enhances the fluorescent-based biosensors. The review provides a comprehensive reference for the different types of carbon nanomaterials employed for the detection of viruses such as Rotavirus, Ebola virus, Influenza virus H3N2, HIV, Hepatitis C virus (HCV), and Hepatitis B virus (HBV). This review covers the various multiplexing detection technologies as a new direction in the development of biosensing platforms for virus detection. At the end of the review, the different challenges in the use of fluorescent biosensors, as well as some insights into how to overcome them, are highlighted.
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Jo H, Shim K, Jeoung D. Potential of the miR-200 Family as a Target for Developing Anti-Cancer Therapeutics. Int J Mol Sci 2022; 23:ijms23115881. [PMID: 35682560 PMCID: PMC9180509 DOI: 10.3390/ijms23115881] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 05/20/2022] [Accepted: 05/21/2022] [Indexed: 01/27/2023] Open
Abstract
MicroRNAs (miRNAs) are small non-coding RNAs (18–24 nucleotides) that play significant roles in cell proliferation, development, invasion, cancer development, cancer progression, and anti-cancer drug resistance. miRNAs target multiple genes and play diverse roles. miRNAs can bind to the 3′UTR of target genes and inhibit translation or promote the degradation of target genes. miR-200 family miRNAs mostly act as tumor suppressors and are commonly decreased in cancer. The miR-200 family has been reported as a valuable diagnostic and prognostic marker. This review discusses the clinical value of the miR-200 family, focusing on the role of the miR-200 family in the development of cancer and anti-cancer drug resistance. This review also provides an overview of the factors that regulate the expression of the miR-200 family, targets of miR-200 family miRNAs, and the mechanism of anti-cancer drug resistance regulated by the miR-200 family.
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Graphene-Based Biosensors for Molecular Chronic Inflammatory Disease Biomarker Detection. BIOSENSORS 2022; 12:bios12040244. [PMID: 35448304 PMCID: PMC9030187 DOI: 10.3390/bios12040244] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/04/2022] [Accepted: 04/11/2022] [Indexed: 11/17/2022]
Abstract
Chronic inflammatory diseases, such as cancer, diabetes mellitus, stroke, ischemic heart diseases, neurodegenerative conditions, and COVID-19 have had a high number of deaths worldwide in recent years. The accurate detection of the biomarkers for chronic inflammatory diseases can significantly improve diagnosis, as well as therapy and clinical care in patients. Graphene derivative materials (GDMs), such as pristine graphene (G), graphene oxide (GO), and reduced graphene oxide (rGO), have shown tremendous benefits for biosensing and in the development of novel biosensor devices. GDMs exhibit excellent chemical, electrical and mechanical properties, good biocompatibility, and the facility of surface modification for biomolecular recognition, opening new opportunities for simple, accurate, and sensitive detection of biomarkers. This review shows the recent advances, properties, and potentialities of GDMs for developing robust biosensors. We show the main electrochemical and optical-sensing methods based on GDMs, as well as their design and manufacture in order to integrate them into robust, wearable, remote, and smart biosensors devices. We also describe the current application of such methods and technologies for the biosensing of chronic disease biomarkers. We also describe the current application of such methods and technologies for the biosensing of chronic disease biomarkers with improved sensitivity, reaching limits of detection from the nano to atto range concentration.
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Arshad F, Nabi F, Iqbal S, Khan RH. Applications of graphene-based electrochemical and optical biosensors in early detection of cancer biomarkers. Colloids Surf B Biointerfaces 2022; 212:112356. [PMID: 35123193 DOI: 10.1016/j.colsurfb.2022.112356] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/04/2022] [Accepted: 01/19/2022] [Indexed: 12/26/2022]
Abstract
Graphene is a one-atom-thick carbon compound, which holds promises for detecting cancer biomarkers along with its derivatives. The atom-wide graphene layer is ideal for cancer biomarker detection due to its unique physicochemical properties like increased electrical and thermal conductivity, optical transparency, and enhanced chemical and mechanical strength. The scientific aim of any biosensor is to create a smaller and portable point of care device for easy and early cancer detection; graphene is able to live up to that. Apart from tumour detection, graphene-based biosensors can diagnose many diseases, their biomarkers, and pathogens. Many existing remarkable pieces of research have proven the candidacy of nanoparticles in most cancer biomarkers detection. This article discusses the effectiveness of graphene-based biosensors in different cancer biomarker detection. This article provides a detailed review of graphene and its derivatives that can be used to detect cancer biomarkers with high specificity, sensitivity, and selectivity. We have highlighted the synthesis procedures of graphene and its products and also discussed their significant properties. Furthermore, we provided a detailed overview of the recent studies on cancer biomarker detection using graphene-based biosensors. The different paths to create and modify graphene surfaces for sensory applications have also been highlighted in each section. Finally, we concluded the review by discussing the existing challenges of these biosensors and also highlighted the steps that can be taken to overcome them.
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Affiliation(s)
- Fareeha Arshad
- Department of Biochemistry, Aligarh Muslim University, Aligarh 202001, India
| | - Faisal Nabi
- Interdisciplinary Biotechnology Unit, Aligarh Muslim University, Aligarh 202001, India
| | - Sana Iqbal
- Department of Electrical Engineering, Aligarh Muslim University, Aligarh 202001, India
| | - Rizwan Hasan Khan
- Interdisciplinary Biotechnology Unit, Aligarh Muslim University, Aligarh 202001, India.
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Dynamic Changes in miR-21 Regulate Right Ventricular Dysfunction in Congenital Heart Disease-Related Pulmonary Arterial Hypertension. Cells 2022; 11:cells11030564. [PMID: 35159373 PMCID: PMC8834169 DOI: 10.3390/cells11030564] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 02/01/2022] [Accepted: 02/02/2022] [Indexed: 02/05/2023] Open
Abstract
Right ventricular (RV) failure is a major cause of mortality in pulmonary arterial hypertension (PAH), but its mechanism remains largely unknown. MicroRNA-21 (miR-21) is involved in flow-mediated stress in the vasculature, but its effects on RV remodeling require investigations. Herein, we aim to study the mechanism of miR-21 in the early (compensated) and late (decompensated) phases of PAH-induced RV dysfunction. Using aorto-venous fistula (AVS) surgery, we established a rat model of PAH. To mimic the microenvironment of PAH, we treated cardiomyocytes with flow-mediated shear stress in 6 dyne for 3 and 8 h. To evaluate whether miR-21 could be a biomarker, we prospectively collected the sera of patients with congenital heart disease- (CHD) related PAH. Additionally, clinical, echocardiographic and right heart catheterization information was collected. The primary endpoint was hospitalization for decompensated heart failure (HF). It is of note that, despite an initial increase in miR-21 expression in hypertrophic RV post AVS, miR-21 expression decreased with RV dysfunction thereafter. Likewise, the activation of miR-21 in cardiomyocytes under shear stress at 3 h was downregulated at 6 h. The downregulated miR-21 at the late phase was associated with increased apoptosis in cardiomyocytes while miR-21 mimic rescued it. Among 76 CHD-induced PAH patients, 19 who were hospitalized for heart failure represented with a significantly lower expression of circulating miR-21. Collectively, our study revealed that the upregulation of miR-21 in the early phase (RV hypertrophy) and downregulation in the late phase (RV dysfunction) under PAH triggered a biphasic regulation of cardiac remodeling and cardiomyocyte apoptosis.
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Raja IS, Hong SW, Han DW. Reflections and Outlook on Multifaceted Biomedical Applications of Graphene. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1351:253-264. [DOI: 10.1007/978-981-16-4923-3_12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Yim Y, Shin H, Ahn SM, Min DH. Graphene oxide-based fluorescent biosensors and their biomedical applications in diagnosis and drug discovery. Chem Commun (Camb) 2021; 57:9820-9833. [PMID: 34494621 DOI: 10.1039/d1cc02157e] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Graphene oxide (GO), an oxidized derivative of graphene, has received much attention for developing novel fluorescent bioanalytic platforms due to its remarkable optical properties and biocompatibility. The reliable performance and robustness of GO-based biosensors have enabled various applications in the biomedical field including diagnosis and drug discovery. Here, recent advances in the development of GO-based fluorescent biosensors are overviewed, particularly nucleic acid detection and enzyme activity assay. In addition, practical applications in biomarker detection and high-throughput screening are also examined. Lastly, basic design principles and remaining challenges of these types of biosensors are discussed for further progress.
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Affiliation(s)
- Yeajee Yim
- Department of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
| | - Hojeong Shin
- Department of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
| | - Seong Min Ahn
- Department of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
| | - Dal-Hee Min
- Department of Chemistry, Seoul National University, Seoul 08826, Republic of Korea. .,Department of Biological Sciences, Seoul National University, Seoul 08826, Republic of Korea.,Institute of Biotherapeutics Convergence Technology, Lemonex Inc., Seoul 06683, Republic of Korea
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Label-Free Homogeneous microRNA Detection in Cell Culture Medium Based on Graphene Oxide and Specific Fluorescence Quenching. NANOMATERIALS 2021; 11:nano11020368. [PMID: 33540562 PMCID: PMC7912907 DOI: 10.3390/nano11020368] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 01/19/2021] [Accepted: 01/28/2021] [Indexed: 02/07/2023]
Abstract
Label-free homogeneous optical detection of low concentration of oligonucleotides using graphene oxide in complex solutions containing proteins remains difficult. We used a colloidal graphene oxide (GO) as a fluorescent probe quencher to detect microRNA-21 spiked-in cell culture medium, overcoming previously reported problematic aspects of protein interference with graphene oxide. We used a "turn off" assay for specific quenching-based detection of oligo DNA-microRNA hybridization in solution. A fluorescein conjugated 30-mer single-stranded DNA (ssDNA) probe was combined with a complementary synthetic microRNA (18 nucleotides) target. The probe-target hybridization was detected by specific quenching due to photoinduced electron transfer (PET). On the next step, GO captures and quenches the unhybridized probe by fluorescence resonance energy transfer (FRET) in the presence of cell culture medium supplemented with platelet lysate, 0.1% sodium dodecyl sulfate (SDS), 0.1% Triton X-100 and 50% formamide. This resulted in sensitive measurement of the specific probe-target complexes remaining in solution. The detection is linear in the range of 1 nM and 8 nM in a single 100 μL total volume assay sample containing 25% cell culture medium supplemented with platelet lysate. We highlight a general approach that may be adopted for microRNA target detection within complex physiological media.
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Pan CM, Chan KH, Chen CH, Jan CI, Liu MC, Lin CM, Cho DY, Tsai WC, Chu YT, Cheng CH, Chuang HY, Chiu SC. MicroRNA-7 targets T-Box 2 to inhibit epithelial-mesenchymal transition and invasiveness in glioblastoma multiforme. Cancer Lett 2020; 493:133-142. [PMID: 32861705 DOI: 10.1016/j.canlet.2020.08.024] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 08/11/2020] [Accepted: 08/20/2020] [Indexed: 12/12/2022]
Abstract
The dysregulation of microRNA expression in cancer has been associated with the epithelial-mesenchymal transition (EMT) that triggers invasive ability and increases therapeutic resistance. Here, we determined the microRNA expression profile of seven tumor tissues from patients with glioblastoma multiforme (GBM) by use of microRNA array analysis. We discovered that microRNA-7 (miR-7) is consistently downregulated in all tumor samples. Using the microRNA.org algorithm, the T-box 2 gene (TBX2) was identified as a candidate gene targeted by miR-7. In contrast to miR-7, TBX2 had an increased expression in GBM tumors and was linked to poor prognosis. We confirmed that TBX2 mRNA and protein production are significantly repressed by overexpressing miR-7 in GBM cells in vitro. The reporter assay showed that miR-7 significantly represses the signal from luciferase with the 3' UTR of TBX2. Furthermore, TBX2 overexpression decreased E-cadherin expression and increased Vimentin expression, causing an increasing number of invaded cells in the invasion assay, as well as pulmonary metastasis in vivo. Our findings demonstrated that overexpression of TBX2 in GBM tumors via the downregulation of miR-7 leads to EMT induction and increased cell invasion.
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Affiliation(s)
- Chih-Ming Pan
- Translational Cell Therapy Center, China Medical University Hospital, Taichung, 40447, Taiwan
| | - Kai-Hsiang Chan
- Cell Therapy Center, An Nan Hospital, China Medical University, Tainan, 70967, Taiwan; Department of Radiation Oncology, Tainan Municipal An-Nan Hospital-China Medical University, Tainan, 70967, Taiwan
| | - Chao-Hsuan Chen
- Department of Neurosurgery, Neuropsychiatric Center, China Medical University Hospital, Taichung, 40447, Taiwan
| | - Chia-Ing Jan
- Translational Cell Therapy Center, China Medical University Hospital, Taichung, 40447, Taiwan; Division of Molecular Pathology, Department of Pathology, China Medical University and Hospital, Taichung, 40447, Taiwan; Department of Medicine, China Medical University, Taichung, 40447, Taiwan; Department of Pathology and Cell Biology, Columbia University, New York, NY, 10032, USA
| | - Ming-Chao Liu
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 40402, Taiwan
| | - Chien-Min Lin
- Taipei Neuroscience Institute, Taipei Medical University, Taipei, 11031, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei, 11031, Taiwan; Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, 11031, Taiwan; Division of Neurosurgery, Department of Surgery, Taipei Medical University-Shuang Ho Hospital, New Taipei City, 23561, Taiwan
| | - Der-Yang Cho
- Translational Cell Therapy Center, China Medical University Hospital, Taichung, 40447, Taiwan; Department of Neurosurgery, Neuropsychiatric Center, China Medical University Hospital, Taichung, 40447, Taiwan; Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 40402, Taiwan; Drug Development Center, China Medical University, Taichung, 40402, Taiwan
| | - Wan-Chen Tsai
- Translational Cell Therapy Center, China Medical University Hospital, Taichung, 40447, Taiwan
| | - Yen-Tse Chu
- Department of Neurosurgery, An Nan Hospital, China Medical University, Tainan, 70967, Taiwan
| | - Cheng-Hsin Cheng
- Department of Neurosurgery, An Nan Hospital, China Medical University, Tainan, 70967, Taiwan
| | - Hao-Yu Chuang
- Cell Therapy Center, An Nan Hospital, China Medical University, Tainan, 70967, Taiwan; Department of Neurosurgery, An Nan Hospital, China Medical University, Tainan, 70967, Taiwan; Department of Neurosurgery, China Medical University Beigang Hospital, Yunlin County, 65152, Taiwan.
| | - Shao-Chih Chiu
- Translational Cell Therapy Center, China Medical University Hospital, Taichung, 40447, Taiwan; Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 40402, Taiwan; Drug Development Center, China Medical University, Taichung, 40402, Taiwan.
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Brzuzan P, Mazur-Marzec H, Florczyk M, Stefaniak F, Fidor A, Konkel R, Woźny M. Luciferase reporter assay for small-molecule inhibitors of MIR92b-3p function: Screening cyanopeptolins produced by Nostoc from the Baltic Sea. Toxicol In Vitro 2020; 68:104951. [PMID: 32721573 DOI: 10.1016/j.tiv.2020.104951] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 07/16/2020] [Accepted: 07/22/2020] [Indexed: 12/16/2022]
Abstract
We developed a cell sensor that detects the liver cancer-specific microRNA MIR92b-3p, involved in hepatocellular carcinoma development and hepatitis C virus infection. To validate our small-molecule screen that employs a Huh7 human hepatoma cell line stably transfected with a pmirGLO vector containing dual luciferase reporters, we used i) a MIR92b-3p antisense or a MIR92b-3p mimicking agent (concentrations from 0.1 pM to 100 nM), ii) expression of XIST, a long non-coding RNA that is a cellular target of MIR92b, and iii) ectopic expression of Luc2 luciferase. This reporter system was used to test four cyanopeptolins from a de novo library of peptides that were isolated from the Baltic Sea cyanobacteria Nostoc edaphicum strain CCNP1411. Exposure of the Huh7-pmirGLO-MIR92b-3p cells to increasing concentrations (from 10 nM to 100 μM) of the cyanopeptolins and microcystin-LR (MC-LR; a treatment control) did not lead to a dose-dependent restoration of the luciferase signal. Instead, when the reporter cells were treated with MC-LR, the luciferase signal decreased markedly, most likely due to non-target, toxic effects of MC-LR on the cells. Although the first use of this reporter system to screen selected Nostoc peptides did not identify inhibitors of MIR92b, this method provides a means to identify functional miRNA regulators and could be readily extended to other compounds.
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Affiliation(s)
- Paweł Brzuzan
- Department of Environmental Biotechnology, Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, Poland.
| | | | - Maciej Florczyk
- Department of Environmental Biotechnology, Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, Poland
| | - Filip Stefaniak
- Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology in Warsaw, Warsaw, Poland
| | - Anna Fidor
- Division of Marine Biotechnology, University of Gdańsk, Gdańsk, Poland
| | - Robert Konkel
- Division of Marine Biotechnology, University of Gdańsk, Gdańsk, Poland
| | - Maciej Woźny
- Department of Environmental Biotechnology, Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, Poland
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Mohammadpour Z, Majidzadeh-A K. Applications of Two-Dimensional Nanomaterials in Breast Cancer Theranostics. ACS Biomater Sci Eng 2020; 6:1852-1873. [PMID: 33455353 DOI: 10.1021/acsbiomaterials.9b01894] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Breast cancer is the leading cause of cancer-related mortality among women. Early stage diagnosis and treatment of this cancer are crucial to patients' survival. In addition, it is important to avoid severe side effects during the process of conventional treatments (surgery, chemotherapy, hormonal therapy, and targeted therapy) and increase the patients' quality of life. Over the past decade, nanomaterials of all kinds have shown excellent prospects in different aspects of oncology. Among them, two-dimensional (2D) nanomaterials are unique due to their physical and chemical properties. The functional variability of 2D nanomaterials stems from their large specific surface area as well as the diversity of composition, electronic configurations, interlayer forces, surface functionalities, and charges. In this review, the current status of 2D nanomaterials in breast cancer diagnosis and therapy is reviewed. In this respect, sensing of the tumor biomarkers, imaging, therapy, and theranostics are discussed. The ever-growing 2D nanomaterials are building blocks for the development of a myriad of nanotheranostics. Accordingly, there is the possibility to explore yet novel properties, biological effects, and oncological applications.
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Affiliation(s)
- Zahra Mohammadpour
- Biomaterials and Tissue Engineering Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran 1315685981, Iran
| | - Keivan Majidzadeh-A
- Biomaterials and Tissue Engineering Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran 1315685981, Iran
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14
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A fluorescence/colorimetric dual-mode sensing strategy for miRNA based on graphene oxide. Anal Bioanal Chem 2019; 412:233-242. [PMID: 31828375 DOI: 10.1007/s00216-019-02269-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 10/28/2019] [Accepted: 11/08/2019] [Indexed: 12/24/2022]
Abstract
MicroRNAs (miRNAs) are small non-coding RNAs, which are involved in RNA silencing and post-transcriptional regulation of gene expression. Numerous studies have determined the expression of certain miRNAs in specific tissues and cell types, and their aberrant expression is associated with a variety of serious diseases such as cancers, immune-related diseases, and many infectious diseases. This suggests that miRNAs may be attractive and promising non-invasive biomarkers of diseases. In this study, we established a graphene oxide (GO)-based fluorescence/colorimetric dual sensing platform for miRNA by using a newly designed probe. The probe was designed to form a hairpin-like configuration with a fluorescent dye-labeled long tail, possessing a guanine (G)-rich DNAzyme domain in the loop region and target binding domain over the stem region and tail. By introducing this new hairpin-like probe in a conventional GO-based fluorescence platform, we observed both the miRNA-responsive color change by direct observation and sensitive fluorescence increase even below the nanomolar levels in a single solution without an additional separation step.
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15
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Xu L, Wen Y, Pandit S, Mokkapati VRSS, Mijakovic I, Li Y, Ding M, Ren S, Li W, Liu G. Graphene-based biosensors for the detection of prostate cancer protein biomarkers: a review. BMC Chem 2019; 13:112. [PMID: 31508598 PMCID: PMC6720397 DOI: 10.1186/s13065-019-0611-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 07/15/2019] [Indexed: 02/07/2023] Open
Abstract
Prostate cancer (PC) is the sixth most common cancer type in the world, which causes approximately 10% of total cancer fatalities. The detection of protein biomarkers in body fluids is the key topic for the diagnosis and prognosis of PC. Highly sensitive screening of PC is the most effective approach for reducing mortality. Thus, there are a growing number of literature that recognizes the importance of new technologies for early diagnosis of PC. Graphene is playing an important role in the biosensor field with remarkable physical, optical, electrochemical and magnetic properties. Many recent studies demonstrated the potential of graphene materials for sensitive detection of protein biomarkers. In this review, the graphene-based biosensors toward PC analysis are mainly discussed in two groups: Firstly, novel biosensor interfaces were constructed through the modification of graphene materials onto sensor surfaces. Secondly, ingenious signal amplification strategies were developed using graphene materials as catalysts or carriers. Graphene-based biosensors have exhibited remarkable performance with high sensitivities, wide detection ranges, and long-term stabilities.
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Affiliation(s)
- Li Xu
- 1Laboratory of Biometrory, Division of Chemistry and Ionizing Radiation Measurement Technology, Shanghai Institute of Measurement and Testing Technology, Shanghai, 201203 People's Republic of China.,2Division of Systems and Synthetic Biology, Department of Biology and Biological Engineering, Chalmers University of Technology, 41126 Gothenburg, Sweden
| | - Yanli Wen
- 1Laboratory of Biometrory, Division of Chemistry and Ionizing Radiation Measurement Technology, Shanghai Institute of Measurement and Testing Technology, Shanghai, 201203 People's Republic of China
| | - Santosh Pandit
- 2Division of Systems and Synthetic Biology, Department of Biology and Biological Engineering, Chalmers University of Technology, 41126 Gothenburg, Sweden
| | - Venkata R S S Mokkapati
- 2Division of Systems and Synthetic Biology, Department of Biology and Biological Engineering, Chalmers University of Technology, 41126 Gothenburg, Sweden
| | - Ivan Mijakovic
- 2Division of Systems and Synthetic Biology, Department of Biology and Biological Engineering, Chalmers University of Technology, 41126 Gothenburg, Sweden.,3The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Lyngby, Denmark
| | - Yan Li
- 1Laboratory of Biometrory, Division of Chemistry and Ionizing Radiation Measurement Technology, Shanghai Institute of Measurement and Testing Technology, Shanghai, 201203 People's Republic of China
| | - Min Ding
- 1Laboratory of Biometrory, Division of Chemistry and Ionizing Radiation Measurement Technology, Shanghai Institute of Measurement and Testing Technology, Shanghai, 201203 People's Republic of China
| | - Shuzhen Ren
- 1Laboratory of Biometrory, Division of Chemistry and Ionizing Radiation Measurement Technology, Shanghai Institute of Measurement and Testing Technology, Shanghai, 201203 People's Republic of China
| | - Wen Li
- 1Laboratory of Biometrory, Division of Chemistry and Ionizing Radiation Measurement Technology, Shanghai Institute of Measurement and Testing Technology, Shanghai, 201203 People's Republic of China
| | - Gang Liu
- 1Laboratory of Biometrory, Division of Chemistry and Ionizing Radiation Measurement Technology, Shanghai Institute of Measurement and Testing Technology, Shanghai, 201203 People's Republic of China
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16
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He D, Wong KW, Dong Z, Li HW. Recent progress in live cell mRNA/microRNA imaging probes based on smart and versatile nanomaterials. J Mater Chem B 2018; 6:7773-7793. [DOI: 10.1039/c8tb02285b] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
We summarize the recent progress in live cell mRNA/miRNA imaging probes based on various versatile nanomaterials, describing their structures and their working principles of bio-imaging applications.
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Affiliation(s)
- Dinggeng He
- Department of Chemistry
- Hong Kong Baptist University
- Kowloon Tong
- China
- State Key Laboratory of Developmental Biology of Freshwater Fish
| | - Ka-Wang Wong
- Department of Chemistry
- Hong Kong Baptist University
- Kowloon Tong
- China
| | - Zhenzhen Dong
- Department of Chemistry
- Hong Kong Baptist University
- Kowloon Tong
- China
| | - Hung-Wing Li
- Department of Chemistry
- Hong Kong Baptist University
- Kowloon Tong
- China
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