1
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Adhish M, Manjubala I. Effectiveness of zebrafish models in understanding human diseases-A review of models. Heliyon 2023; 9:e14557. [PMID: 36950605 PMCID: PMC10025926 DOI: 10.1016/j.heliyon.2023.e14557] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 03/01/2023] [Accepted: 03/10/2023] [Indexed: 03/17/2023] Open
Abstract
Understanding the detailed mechanism behind every human disease, disorder, defect, and deficiency is a daunting task concerning the clinical diagnostic tools for patients. Hence, a closely resembling living or simulated model is of paramount interest for the development and testing of a probable novel drug for rectifying the conditions pertaining to the various ailments. The animal model that can be easily genetically manipulated to suit the study of the therapeutic motive is an indispensable asset and within the last few decades, the zebrafish models have proven their effectiveness by becoming such potent human disease models with their use being extended to various avenues of research to understand the underlying mechanisms of the diseases. As zebrafish are explored as model animals in understanding the molecular basis and genetics of many diseases owing to the 70% genetic homology between the human and zebrafish genes; new and fascinating facts about the diseases are being surfaced, establishing it as a very powerful tool for upcoming research. These prospective research areas can be explored in the near future using zebrafish as a model. In this review, the effectiveness of the zebrafish as an animal model against several human diseases such as osteoporosis, atrial fibrillation, Noonan syndrome, leukemia, autism spectrum disorders, etc. has been discussed.
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2
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Jeon H, Lim Y, Lee IG, Kim DI, Kim KP, Hong SH, Kim J, Jung YS, Seo YJ. Inhibition of KIF20A suppresses the replication of influenza A virus by inhibiting viral entry. J Microbiol 2022; 60:1113-1121. [PMID: 36318360 DOI: 10.1007/s12275-022-2436-x] [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: 09/28/2022] [Revised: 10/11/2022] [Accepted: 10/12/2022] [Indexed: 06/16/2023]
Abstract
The influenza A virus (IAV) has caused several pandemics, and therefore there are many ongoing efforts to identify novel antiviral therapeutic strategies including vaccines and antiviral drugs. However, influenza viruses continuously undergo antigenic drift and shift, resulting in the emergence of mutated viruses. In turn, this decreases the efficiency of existing vaccines and antiviral drugs to control IAV infection. Therefore, this study sought to identify alternative therapeutic strategies targeting host cell factors rather than viruses to avoid infection by mutated viruses. Particularly, we investigated the role of KIF20A that is one of kinesin superfamily proteins in the replication of IAV. The KIF20A increased viral protein levels in IAV-infected cells by regulating the initial entry stage during viral infection. Furthermore, the KIF20A inhibitor significantly suppressed viral replication, which protected mice from morbidity and mortality. Therefore, our findings demonstrated that KIF20A is highly involved in the viral replication process and viral propagation both in vitro and in vivo, and could thus be used as a target for the development of novel antiviral drugs.
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Affiliation(s)
- Hoyeon Jeon
- Department of Life Science, Chung-Ang University, Seoul, 06974, Republic of Korea
| | - Younghyun Lim
- Department of Life Science, Chung-Ang University, Seoul, 06974, Republic of Korea
| | - In-Gu Lee
- Department of Life Science, Chung-Ang University, Seoul, 06974, Republic of Korea
| | - Dong-In Kim
- Department of Life Science, Chung-Ang University, Seoul, 06974, Republic of Korea
| | - Keun Pil Kim
- Department of Life Science, Chung-Ang University, Seoul, 06974, Republic of Korea
| | - So-Hee Hong
- Department of Microbiology, College of Medicine, Ewha Womans University, Seoul, 07804, Republic of Korea
| | - Jeongkyu Kim
- Department of Life Science, Chung-Ang University, Seoul, 06974, Republic of Korea.
| | - Youn-Sang Jung
- Department of Life Science, Chung-Ang University, Seoul, 06974, Republic of Korea.
| | - Young-Jin Seo
- Department of Life Science, Chung-Ang University, Seoul, 06974, Republic of Korea.
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3
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Flex E, Albadri S, Radio FC, Cecchetti S, Lauri A, Priolo M, Kissopoulos M, Carpentieri G, Fasano G, Venditti M, Magliocca V, Bellacchio E, Welch CL, Colombo PC, Kochav SM, Chang R, Barrick R, Trivisano M, Micalizzi A, Borghi R, Messina E, Mancini C, Pizzi S, De Santis F, Rosello M, Specchio N, Compagnucci C, McWalter K, Chung WK, Del Bene F, Tartaglia M. Dominantly acting KIF5B variants with pleiotropic cellular consequences cause variable clinical phenotypes. Hum Mol Genet 2022; 32:473-488. [PMID: 36018820 PMCID: PMC9851748 DOI: 10.1093/hmg/ddac213] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 08/05/2022] [Accepted: 08/23/2022] [Indexed: 01/25/2023] Open
Abstract
Kinesins are motor proteins involved in microtubule (MT)-mediated intracellular transport. They contribute to key cellular processes, including intracellular trafficking, organelle dynamics and cell division. Pathogenic variants in kinesin-encoding genes underlie several human diseases characterized by an extremely variable clinical phenotype, ranging from isolated neurodevelopmental/neurodegenerative disorders to syndromic phenotypes belonging to a family of conditions collectively termed as 'ciliopathies.' Among kinesins, kinesin-1 is the most abundant MT motor for transport of cargoes towards the plus end of MTs. Three kinesin-1 heavy chain isoforms exist in mammals. Different from KIF5A and KIF5C, which are specifically expressed in neurons and established to cause neurological diseases when mutated, KIF5B is an ubiquitous protein. Three de novo missense KIF5B variants were recently described in four subjects with a syndromic skeletal disorder characterized by kyphomelic dysplasia, hypotonia and DD/ID. Here, we report three dominantly acting KIF5B variants (p.Asn255del, p.Leu498Pro and p.Leu537Pro) resulting in a clinically wide phenotypic spectrum, ranging from dilated cardiomyopathy with adult-onset ophthalmoplegia and progressive skeletal myopathy to a neurodevelopmental condition characterized by severe hypotonia with or without seizures. In vitro and in vivo analyses provide evidence that the identified disease-associated KIF5B variants disrupt lysosomal, autophagosome and mitochondrial organization, and impact cilium biogenesis. All variants, and one of the previously reported missense changes, were shown to affect multiple developmental processes in zebrafish. These findings document pleiotropic consequences of aberrant KIF5B function on development and cell homeostasis, and expand the phenotypic spectrum resulting from altered kinesin-mediated processes.
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Affiliation(s)
- Elisabetta Flex
- To whom correspondence should be addressed at: Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, 00161 Rome, Italy. Tel: +39 06 4990 2866; ; Marco Tartaglia, Genetics and Rare Disease Research Division, Ospedale Pediatrico Bambino Gesù, IRCCS, Viale di San Paolo 15, 00146 Rome, Italy. Tel: +39 06 6859 3742;
| | | | - Francesca Clementina Radio
- Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146 Rome, Italy
| | - Serena Cecchetti
- Core Facilities, Istituto Superiore di Sanità, 00161 Rome, Italy
| | - Antonella Lauri
- Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146 Rome, Italy
| | - Manuela Priolo
- UOSD Genetica Medica, Grande Ospedale Metropolitano "Bianchi Melacrino Morelli", 89124 Reggio Calabria, Italy
| | - Marta Kissopoulos
- Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, 00161 Rome, Italy
| | - Giovanna Carpentieri
- Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, 00161 Rome, Italy,Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146 Rome, Italy
| | - Giulia Fasano
- Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146 Rome, Italy
| | - Martina Venditti
- Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146 Rome, Italy
| | - Valentina Magliocca
- Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146 Rome, Italy
| | - Emanuele Bellacchio
- Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146 Rome, Italy
| | - Carrie L Welch
- Department of Pediatrics, Columbia University Irving Medical Center, NY, New York 10032, USA
| | - Paolo C Colombo
- Department of Medicine, Columbia University Irving Medical Center, NY, New York 10032, USA
| | - Stephanie M Kochav
- Department of Medicine, Columbia University Irving Medical Center, NY, New York 10032, USA
| | - Richard Chang
- Division of Metabolic Disorders, Children's Hospital of Orange County (CHOC), CA, Orange 92868, USA
| | - Rebekah Barrick
- Division of Metabolic Disorders, Children's Hospital of Orange County (CHOC), CA, Orange 92868, USA
| | - Marina Trivisano
- Department of Neuroscience, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146 Rome, Italy
| | - Alessia Micalizzi
- Translational Cytogenomics Research Unit, Bambino Gesù Children's Hospital, IRCCS, 00146 Rome, Italy
| | - Rossella Borghi
- Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146 Rome, Italy
| | - Elena Messina
- Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, 00161 Rome, Italy,Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146 Rome, Italy
| | - Cecilia Mancini
- Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146 Rome, Italy
| | - Simone Pizzi
- Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146 Rome, Italy
| | - Flavia De Santis
- Institut Curie, PSL Research University, INSERM U934, CNRS UMR3215 Paris, France
| | - Marion Rosello
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 Rue Moreau, F-75012 Paris, France
| | - Nicola Specchio
- Department of Neuroscience, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146 Rome, Italy
| | - Claudia Compagnucci
- Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146 Rome, Italy
| | | | - Wendy K Chung
- Department of Pediatrics, Columbia University Irving Medical Center, NY, New York 10032, USA,Department of Medicine, Columbia University Irving Medical Center, NY, New York 10032, USA
| | | | - Marco Tartaglia
- To whom correspondence should be addressed at: Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, 00161 Rome, Italy. Tel: +39 06 4990 2866; ; Marco Tartaglia, Genetics and Rare Disease Research Division, Ospedale Pediatrico Bambino Gesù, IRCCS, Viale di San Paolo 15, 00146 Rome, Italy. Tel: +39 06 6859 3742;
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4
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Zhang F, Yu C, Xu W, Li X, Feng J, Shi H, Yang J, Sun Q, Cao X, Zhang L, Peng M. Identification of critical genes and molecular pathways in COVID-19 myocarditis and constructing gene regulatory networks by bioinformatic analysis. PLoS One 2022; 17:e0269386. [PMID: 35749386 PMCID: PMC9231758 DOI: 10.1371/journal.pone.0269386] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 05/19/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND There is growing evidence of a strong relationship between COVID-19 and myocarditis. However, there are few bioinformatics-based analyses of critical genes and the mechanisms related to COVID-19 Myocarditis. This study aimed to identify critical genes related to COVID-19 Myocarditis by bioinformatic methods, explore the biological mechanisms and gene regulatory networks, and probe related drugs. METHODS The gene expression data of GSE150392 and GSE167028 were obtained from the Gene Expression Omnibus (GEO), including cardiomyocytes derived from human induced pluripotent stem cells infected with SARS-CoV-2 in vitro and GSE150392 from patients with myocarditis infected with SARS-CoV-2 and the GSE167028 gene expression dataset. Differentially expressed genes (DEGs) (adjusted P-Value <0.01 and |Log2 Fold Change| ≥2) in GSE150392 were assessed by NetworkAnalyst 3.0. Meanwhile, significant modular genes in GSE167028 were identified by weighted gene correlation network analysis (WGCNA) and overlapped with DEGs to obtain common genes. Functional enrichment analyses were performed by using the "clusterProfiler" package in the R software, and protein-protein interaction (PPI) networks were constructed on the STRING website (https://cn.string-db.org/). Critical genes were identified by the CytoHubba plugin of Cytoscape by 5 algorithms. Transcription factor-gene (TF-gene) and Transcription factor-microRibonucleic acid (TF-miRNA) coregulatory networks construction were performed by NetworkAnalyst 3.0 and displayed in Cytoscape. Finally, Drug Signatures Database (DSigDB) was used to probe drugs associated with COVID-19 Myocarditis. RESULTS Totally 850 DEGs (including 449 up-regulated and 401 down-regulated genes) and 159 significant genes in turquoise modules were identified from GSE150392 and GSE167028, respectively. Functional enrichment analysis indicated that common genes were mainly enriched in biological processes such as cell cycle and ubiquitin-protein hydrolysis. 6 genes (CDK1, KIF20A, PBK, KIF2C, CDC20, UBE2C) were identified as critical genes. TF-gene interactions and TF-miRNA coregulatory network were constructed successfully. A total of 10 drugs, (such as Etoposide, Methotrexate, Troglitazone, etc) were considered as target drugs for COVID-19 Myocarditis. CONCLUSIONS Through bioinformatics method analysis, this study provides a new perspective to explore the pathogenesis, gene regulatory networks and provide drug compounds as a reference for COVID-19 Myocarditis. It is worth highlighting that critical genes (CDK1, KIF20A, PBK, KIF2C, CDC20, UBE2C) may be potential biomarkers and treatment targets of COVID-19 Myocarditis for future study.
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Affiliation(s)
- Fengjun Zhang
- College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan, China
- Department of Traditional Chinese Medicine, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
| | - Cheng Yu
- Department of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, 250014, Shandong, China
| | - Wenchang Xu
- College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xiao Li
- Department of Cardiology, Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, 250014, Shandong, China
| | - Junchen Feng
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Hongshuo Shi
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jingrong Yang
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Qinhua Sun
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xianyi Cao
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Lin Zhang
- Department of Clinical Pharmacy, Shaoxing People’s Hospital, Shaoxing Hospital, Zhejiang University School of Medicine, Shaoxing, China
| | - Min Peng
- Department of Traditional Chinese Medicine, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
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5
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Schrock MS, Scarberry L, Stromberg BR, Sears C, Torres AE, Tallman D, Krupinski L, Chakravarti A, Summers MK. MKLP2 functions in early mitosis to ensure proper chromosome congression. J Cell Sci 2022; 135:275559. [PMID: 35638575 DOI: 10.1242/jcs.259560] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 05/23/2022] [Indexed: 11/20/2022] Open
Abstract
Mitotic kinesin-like protein 2 (MKLP2) is a motor protein with a well-established function in promoting cytokinesis. However, our results with siRNAs targeting MKLP2 and small molecule inhibitors of MKLP2 (MKLP2i) suggested a function earlier in mitosis, prior to anaphase. In this study we provide direct evidence that MKLP2 facilitates chromosome congression in prometaphase. We employed live imaging to observe HeLa cells with fluorescently tagged histones treated with MKLP2i and discovered a pronounced chromosome congression defect. We show that MKLP2 facilitates error correction as inhibited cells had a significant increase in unstable, syntelic kinetochore-microtubule attachments. We find that the aberrant attachments are accompanied by elevated Aurora Kinase (A/B) activity and phosphorylation of the downstream target, pHEC1 (Ser 55). Lastly, we show that MKLP2 inhibition results in aneuploidy, confirming that MKLP2 safeguards cells against chromosomal instability.
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Affiliation(s)
- Morgan S Schrock
- Department of Radiation Oncology, Arthur G James Comprehensive Cancer Center and Richard L. Solove Research Institute, The Ohio State University, Columbus, OH, 43210, USA
| | - Luke Scarberry
- Department of Radiation Oncology, Arthur G James Comprehensive Cancer Center and Richard L. Solove Research Institute, The Ohio State University, Columbus, OH, 43210, USA.,Biomedical Sciences Graduate, Program The Ohio State University Columbus, OH, 43210, USA
| | - Benjamin R Stromberg
- Department of Radiation Oncology, Arthur G James Comprehensive Cancer Center and Richard L. Solove Research Institute, The Ohio State University, Columbus, OH, 43210, USA.,Biomedical Sciences Graduate, Program The Ohio State University Columbus, OH, 43210, USA
| | - Claire Sears
- Department of Radiation Oncology, Arthur G James Comprehensive Cancer Center and Richard L. Solove Research Institute, The Ohio State University, Columbus, OH, 43210, USA.,Undergraduate Studies, Kenyon College, Gambier, OH, 43022, USA
| | - Adrian E Torres
- Department of Radiation Oncology, Arthur G James Comprehensive Cancer Center and Richard L. Solove Research Institute, The Ohio State University, Columbus, OH, 43210, USA
| | - David Tallman
- Department of Internal Medicine, The Ohio State University, Columbus, OH, 43210, USA.,Molecular, Cellular, and Developmental Biology Graduate Program, The Ohio State University, Columbus, OH, 43210, USA
| | - Lucas Krupinski
- Department of Radiation Oncology, Arthur G James Comprehensive Cancer Center and Richard L. Solove Research Institute, The Ohio State University, Columbus, OH, 43210, USA
| | - Arnab Chakravarti
- Department of Radiation Oncology, Arthur G James Comprehensive Cancer Center and Richard L. Solove Research Institute, The Ohio State University, Columbus, OH, 43210, USA
| | - Matthew K Summers
- Department of Radiation Oncology, Arthur G James Comprehensive Cancer Center and Richard L. Solove Research Institute, The Ohio State University, Columbus, OH, 43210, USA
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6
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Caporizzo MA, Prosser BL. The microtubule cytoskeleton in cardiac mechanics and heart failure. Nat Rev Cardiol 2022; 19:364-378. [PMID: 35440741 DOI: 10.1038/s41569-022-00692-y] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/14/2022] [Indexed: 12/13/2022]
Abstract
The microtubule network of cardiac muscle cells has unique architectural and biophysical features to accommodate the demands of the working heart. Advances in live-cell imaging and in deciphering the 'tubulin code' have shone new light on this cytoskeletal network and its role in heart failure. Microtubule-based transport orchestrates the growth and maintenance of the contractile apparatus through spatiotemporal control of translation, while also organizing the specialized membrane systems required for excitation-contraction coupling. To withstand the high mechanical loads of the working heart, microtubules are post-translationally modified and physically reinforced. In response to stress to the myocardium, the microtubule network remodels, typically through densification, post-translational modification and stabilization. Under these conditions, physically reinforced microtubules resist the motion of the cardiomyocyte and increase myocardial stiffness. Accordingly, modified microtubules have emerged as a therapeutic target for reducing stiffness in heart failure. In this Review, we discuss the latest evidence on the contribution of microtubules to cardiac mechanics, the drivers of microtubule network remodelling in cardiac pathologies and the therapeutic potential of targeting cardiac microtubules in acquired heart diseases.
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Affiliation(s)
- Matthew A Caporizzo
- Department of Molecular Physiology and Biophysics, University of Vermont Larner College of Medicine, Burlington, VT, USA.,Department of Physiology, Pennsylvania Muscle Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Benjamin L Prosser
- Department of Physiology, Pennsylvania Muscle Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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7
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Cui K, Chen JH, Zou YF, Zhang SY, Wu B, Jing K, Li LW, Xia L, Sun C, Dong YL. Hub biomarkers for the diagnosis and treatment of glioblastoma based on microarray technology. Technol Cancer Res Treat 2021; 20:1533033821990368. [PMID: 34018447 PMCID: PMC8142016 DOI: 10.1177/1533033821990368] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Glioblastoma (GBM) is the most common clinical intracranial malignancy worldwide, and the most common supratentorial tumor in adults. GBM mainly causes damage to the brain tissue, which can be fatal. This research explored potential gene targets for the diagnosis and treatment of GBM using bioinformatic technology. METHODS Public data from patients with GBM and controls were downloaded from the Gene Expression Omnibus database, and differentially expressed genes (DEGs) were identified by Gene Expression Profiling Interactive Analysis (GEPIA) and Gene Expression Omnibus 2R (GEO2R). Construction of the protein-protein interaction network and the identification of a significant module were performed. Subsequently, hub genes were identified, and their expression was examined and compared by real-time quantitative (RT-q)PCR between patients with GBM and controls. RESULTS GSE122498 (GPL570 platform), GSE104291 (GPL570 platform), GSE78703_DMSO (GPL15207 platform), and GSE78703_LXR (GPL15207 platform) datasets were obtained from the GEO. A total of 130 DEGs and 10 hub genes were identified by GEPIA and GEO2R between patients with GBM and controls. Of these, strong connections were identified in correlation analysis between CCNB1, CDC6, KIF23, and KIF20A. RT-qPCR showed that all 4 of these genes were expressed at significantly higher levels in patients with GBM compared with controls. CONCLUSIONS The hub genes CCNB1, CDC6, KIF23, and KIF20A are potential biomarkers for the diagnosis and treatment of GBM.
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Affiliation(s)
- Kai Cui
- Department of Neurosurgery, The Fourth Hospital of Hebei Medical University, 12 Health Road, Shijiazhuang, Hebei, 050011, People's Republic of China
| | - Jin-Hui Chen
- Department of Neurosurgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen 518033, People's Republic of China
| | - Yang-Fan Zou
- Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou 310022, People's Republic of China.,Department of Neurosurgery, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou 310022, People's Republic of China.,Department of Neurosurgery, Zhejiang Cancer Hospital, Hangzhou 310022, People's Republic of China.,Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Hangzhou 310022, People's Republic of China
| | - Shu-Yuan Zhang
- Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou 310022, People's Republic of China.,Department of Neurosurgery, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou 310022, People's Republic of China.,Department of Neurosurgery, Zhejiang Cancer Hospital, Hangzhou 310022, People's Republic of China.,Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Hangzhou 310022, People's Republic of China
| | - Bing Wu
- Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou 310022, People's Republic of China.,Department of Neurosurgery, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou 310022, People's Republic of China.,Department of Neurosurgery, Zhejiang Cancer Hospital, Hangzhou 310022, People's Republic of China.,Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Hangzhou 310022, People's Republic of China
| | - Kai Jing
- Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou 310022, People's Republic of China.,Department of Neurosurgery, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou 310022, People's Republic of China.,Department of Neurosurgery, Zhejiang Cancer Hospital, Hangzhou 310022, People's Republic of China.,Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Hangzhou 310022, People's Republic of China
| | - Li-Weng Li
- Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou 310022, People's Republic of China.,Department of Neurosurgery, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou 310022, People's Republic of China.,Department of Neurosurgery, Zhejiang Cancer Hospital, Hangzhou 310022, People's Republic of China.,Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Hangzhou 310022, People's Republic of China
| | - Liang Xia
- Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou 310022, People's Republic of China.,Department of Neurosurgery, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou 310022, People's Republic of China.,Department of Neurosurgery, Zhejiang Cancer Hospital, Hangzhou 310022, People's Republic of China.,Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Hangzhou 310022, People's Republic of China
| | - Caixing Sun
- Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou 310022, People's Republic of China.,Department of Neurosurgery, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou 310022, People's Republic of China.,Department of Neurosurgery, Zhejiang Cancer Hospital, Hangzhou 310022, People's Republic of China.,Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Hangzhou 310022, People's Republic of China
| | - Ya-Lan Dong
- Department of Neurosurgery, The Fourth Hospital of Hebei Medical University, 12 Health Road, Shijiazhuang, Hebei, 050011, People's Republic of China
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8
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Narumanchi S, Wang H, Perttunen S, Tikkanen I, Lakkisto P, Paavola J. Zebrafish Heart Failure Models. Front Cell Dev Biol 2021; 9:662583. [PMID: 34095129 PMCID: PMC8173159 DOI: 10.3389/fcell.2021.662583] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 04/06/2021] [Indexed: 01/02/2023] Open
Abstract
Heart failure causes significant morbidity and mortality worldwide. The understanding of heart failure pathomechanisms and options for treatment remain incomplete. Zebrafish has proven useful for modeling human heart diseases due to similarity of zebrafish and mammalian hearts, fast easily tractable development, and readily available genetic methods. Embryonic cardiac development is rapid and cardiac function is easy to observe and quantify. Reverse genetics, by using morpholinos and CRISPR-Cas9 to modulate gene function, make zebrafish a primary animal model for in vivo studies of candidate genes. Zebrafish are able to effectively regenerate their hearts following injury. However, less attention has been given to using zebrafish models to increase understanding of heart failure and cardiac remodeling, including cardiac hypertrophy and hyperplasia. Here we discuss using zebrafish to study heart failure and cardiac remodeling, and review zebrafish genetic, drug-induced and other heart failure models, discussing the advantages and weaknesses of using zebrafish to model human heart disease. Using zebrafish models will lead to insights on the pathomechanisms of heart failure, with the aim to ultimately provide novel therapies for the prevention and treatment of heart failure.
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Affiliation(s)
- Suneeta Narumanchi
- Unit of Cardiovascular Research, Minerva Foundation Institute for Medical Research, Biomedicum Helsinki, Helsinki, Finland
| | - Hong Wang
- Unit of Cardiovascular Research, Minerva Foundation Institute for Medical Research, Biomedicum Helsinki, Helsinki, Finland
| | - Sanni Perttunen
- Unit of Cardiovascular Research, Minerva Foundation Institute for Medical Research, Biomedicum Helsinki, Helsinki, Finland
| | - Ilkka Tikkanen
- Unit of Cardiovascular Research, Minerva Foundation Institute for Medical Research, Biomedicum Helsinki, Helsinki, Finland.,Abdominal Center Nephrology, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
| | - Päivi Lakkisto
- Unit of Cardiovascular Research, Minerva Foundation Institute for Medical Research, Biomedicum Helsinki, Helsinki, Finland.,Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
| | - Jere Paavola
- Unit of Cardiovascular Research, Minerva Foundation Institute for Medical Research, Biomedicum Helsinki, Helsinki, Finland
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Li X, Shu K, Wang Z, Ding D. Prognostic significance of KIF2A and KIF20A expression in human cancer: A systematic review and meta-analysis. Medicine (Baltimore) 2019; 98:e18040. [PMID: 31725680 PMCID: PMC6867763 DOI: 10.1097/md.0000000000018040] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The kinesin family (KIF) is reported to be aberrantly expressed and significantly correlated with survival outcomes in patients with various cancers. This meta-analysis was carried out to quantitatively evaluate the prognostic values of partial KIF members in cancer patients. METHODS Two well-known KIF members, KIF2A and KIF20A, were investigated to evaluate their potential values as novel prognostic biomarkers in human cancer. A comprehensive literature search was carried out of the PubMed, EMBASE, Cochrane Library, and Web of Science databases up to April 2019. Pooled hazard ratios (HRs) and odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the association of KIF2A and KIF20A expression with overall survival (OS) and clinicopathological parameters. RESULTS Twenty-five studies involving 7262 patients were finally incorporated, including nine about KIF2A and sixteen about KIF20A. Our results indicated that patients with high expression of KIF2 and KIF20A tended to have shorter OS than those with low expression (HR = 2.23, 95% CI = 1.87-2.65, P < .001; HR = 1.77, 95% CI = 1.57-1.99, P < .001, respectively). Moreover, high expression of these 2 KIF members was significantly associated with advanced clinical stage (OR = 1.98, 95% CI: 1.57-2.50, P < .001; OR = 2.63, 95% CI: 2.03-3.41, P < .001, respectively), positive lymph node metastasis (OR = 2.32, 95% CI: 1.65-3.27, P < .001; OR = 2.13, 95% CI: 1.59-2.83, P < .001, respectively), and distant metastasis (OR = 2.20, 95% CI: 1.21-3.99, P = .010; OR = 5.25, 95% CI: 2.82-9.77, P < .001, respectively); only high KIF20A expression was related to poor differentiation grade (OR = 1.82, 95% CI: 1.09-3.07, P = .023). CONCLUSIONS High expression of KIF2 and KIF20A in human cancer was significantly correlated with worse prognosis and unfavorable clinicopathological features, suggesting that these 2 KIF members can be used as prognostic biomarkers for different types of tumors. PROSPERO REGISTRATION NUMBER CRD42019134928.
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Affiliation(s)
- Xing Li
- Department of Urology, People's Hospital of Zhengzhou University
| | - Kunpeng Shu
- Department of Urology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, School of Clinical Medicine, Henan University, Zhengzhou, Henan, China
| | - Zhifeng Wang
- Department of Urology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, School of Clinical Medicine, Henan University, Zhengzhou, Henan, China
| | - Degang Ding
- Department of Urology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, School of Clinical Medicine, Henan University, Zhengzhou, Henan, China
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10
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Almomani R, Herkert JC, Posafalvi A, Post JG, Boven LG, van der Zwaag PA, Willems PHGM, van Veen-Hof IH, Verhagen JMA, Wessels MW, Nikkels PGJ, Wintjes LT, van den Berg MP, Sinke RJ, Rodenburg RJ, Niezen-Koning KE, van Tintelen JP, Jongbloed JDH. Homozygous damaging SOD2 variant causes lethal neonatal dilated cardiomyopathy. J Med Genet 2019; 57:23-30. [PMID: 31494578 DOI: 10.1136/jmedgenet-2019-106330] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 07/22/2019] [Accepted: 07/29/2019] [Indexed: 01/05/2023]
Abstract
BACKGROUND Idiopathic dilated cardiomyopathy (DCM) is recognised to be a heritable disorder, yet clinical genetic testing does not produce a diagnosis in >50% of paediatric patients. Identifying a genetic cause is crucial because this knowledge can affect management options, cardiac surveillance in relatives and reproductive decision-making. In this study, we sought to identify the underlying genetic defect in a patient born to consanguineous parents with rapidly progressive DCM that led to death in early infancy. METHODS AND RESULTS Exome sequencing revealed a potentially pathogenic, homozygous missense variant, c.542G>T, p.(Gly181Val), in SOD2. This gene encodes superoxide dismutase 2 (SOD2) or manganese-superoxide dismutase, a mitochondrial matrix protein that scavenges oxygen radicals produced by oxidation-reduction and electron transport reactions occurring in mitochondria via conversion of superoxide anion (O2 -·) into H2O2. Measurement of hydroethidine oxidation showed a significant increase in O2 -· levels in the patient's skin fibroblasts, as compared with controls, and this was paralleled by reduced catalytic activity of SOD2 in patient fibroblasts and muscle. Lentiviral complementation experiments demonstrated that mitochondrial SOD2 activity could be completely restored on transduction with wild type SOD2. CONCLUSION Our results provide evidence that defective SOD2 may lead to toxic increases in the levels of damaging oxygen radicals in the neonatal heart, which can result in rapidly developing heart failure and death. We propose SOD2 as a novel nuclear-encoded mitochondrial protein involved in severe human neonatal cardiomyopathy, thus expanding the wide range of genetic factors involved in paediatric cardiomyopathies.
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Affiliation(s)
- Rowida Almomani
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan
| | - Johanna C Herkert
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Anna Posafalvi
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Jan G Post
- Department of Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Ludolf G Boven
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Paul A van der Zwaag
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Peter H G M Willems
- Department of Biochemistry, Radboud Center for Mitochondrial Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ingrid H van Veen-Hof
- Laboratory of Metabolic Diseases, Department of Laboratory Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Judith M A Verhagen
- Department of Clinical Genetics, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Marja W Wessels
- Department of Clinical Genetics, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Peter G J Nikkels
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Liesbeth T Wintjes
- Department of Paediatrics, Radboud Center for Mitochondrial Medicine, Translational Metabolic Laboratory, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Maarten P van den Berg
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Richard J Sinke
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Richard J Rodenburg
- Department of Paediatrics, Radboud Center for Mitochondrial Medicine, Translational Metabolic Laboratory, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Klary E Niezen-Koning
- Laboratory of Metabolic Diseases, Department of Laboratory Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - J Peter van Tintelen
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Department of Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jan D H Jongbloed
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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11
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Hasan MS, Wu X, Zhang L. Uncovering missed indels by leveraging unmapped reads. Sci Rep 2019; 9:11093. [PMID: 31366961 PMCID: PMC6668410 DOI: 10.1038/s41598-019-47405-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Accepted: 07/12/2019] [Indexed: 02/08/2023] Open
Abstract
In current practice, Next Generation Sequencing (NGS) applications start with mapping/aligning short reads to the reference genome, with the aim of identifying genetic variants. Although existing alignment tools have shown great accuracy in mapping short reads to the reference genome, a significant number of short reads still remain unmapped and are often excluded from downstream analyses thereby causing nonnegligible information loss in the subsequent variant calling procedure. This paper describes Genesis-indel, a computational pipeline that explores the unmapped reads to identify novel indels that are initially missed in the original procedure. Genesis-indel is applied to the unmapped reads of 30 breast cancer patients from TCGA. Results show that the unmapped reads are conserved between the two subtypes of breast cancer investigated in this study and might contribute to the divergence between the subtypes. Genesis-indel identifies 72,997 novel high-quality indels previously not found, among which 16,141 have not been annotated in the widely used mutation database. Statistical analysis of these indels shows significant enrichment of indels residing in oncogenes and tumour suppressor genes. Functional annotation further reveals that these indels are strongly correlated with pathways of cancer and can have high to moderate impact on protein functions. Additionally, some of the indels overlap with the genes that do not have any indel mutations called from the originally mapped reads but have been shown to contribute to the tumorigenesis in multiple carcinomas, further emphasizing the importance of rescuing indels hidden in the unmapped reads in cancer and disease studies.
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Affiliation(s)
| | - Xiaowei Wu
- Department of Statistics, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Liqing Zhang
- Department of Computer Science, Virginia Tech, Blacksburg, VA, 24061, USA.
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12
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Wu WD, Yu KW, Zhong N, Xiao Y, She ZY. Roles and mechanisms of Kinesin-6 KIF20A in spindle organization during cell division. Eur J Cell Biol 2019; 98:74-80. [DOI: 10.1016/j.ejcb.2018.12.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Revised: 12/10/2018] [Accepted: 12/11/2018] [Indexed: 12/21/2022] Open
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13
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On Zebrafish Disease Models and Matters of the Heart. Biomedicines 2019; 7:biomedicines7010015. [PMID: 30823496 PMCID: PMC6466020 DOI: 10.3390/biomedicines7010015] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Revised: 02/23/2019] [Accepted: 02/26/2019] [Indexed: 12/18/2022] Open
Abstract
Coronary artery disease (CAD) is the leading form of cardiovascular disease (CVD), which is the primary cause of mortality worldwide. It is a complex disease with genetic and environmental risk factor contributions. Reports in human and mammalian models elucidate age-associated changes in cardiac function. The diverse mechanisms involved in cardiac diseases remain at the center of the research interest to identify novel strategies for prevention and therapy. Zebrafish (Danio rerio) have emerged as a valuable vertebrate model to study cardiovascular development over the last few decades. The facile genetic manipulation via forward and reverse genetic approaches combined with noninvasive, high-resolution imaging and phenotype-based screening has provided new insights to molecular pathways that orchestrate cardiac development. Zebrafish can recapitulate human cardiac pathophysiology due to gene and regulatory pathways conservation, similar heart rate and cardiac morphology and function. Thus, generations of zebrafish models utilize the functional analysis of genes involved in CAD, which are derived from large-scale human population analysis. Here, we highlight recent studies conducted on cardiovascular research focusing on the benefits of the combination of genome-wide association studies (GWAS) with functional genomic analysis in zebrafish. We further summarize the knowledge obtained from zebrafish studies that have demonstrated the architecture of the fundamental mechanisms underlying heart development, homeostasis and regeneration at the cellular and molecular levels.
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14
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Tian J, Shao J, Liu C, Hou HY, Chou CW, Shboul M, Li GQ, El-Khateeb M, Samarah OQ, Kou Y, Chen YH, Chen MJ, Lyu Z, Chen WL, Chen YF, Sun YH, Liu YW. Deficiency of lrp4 in zebrafish and human LRP4 mutation induce aberrant activation of Jagged-Notch signaling in fin and limb development. Cell Mol Life Sci 2019; 76:163-178. [PMID: 30327840 PMCID: PMC11105680 DOI: 10.1007/s00018-018-2928-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 09/21/2018] [Accepted: 09/25/2018] [Indexed: 12/26/2022]
Abstract
Low-density lipoprotein receptor-related protein 4 (LRP4) is a multi-functional protein implicated in bone, kidney and neurological diseases including Cenani-Lenz syndactyly (CLS), sclerosteosis, osteoporosis, congenital myasthenic syndrome and myasthenia gravis. Why different LRP4 mutation alleles cause distinct and even contrasting disease phenotypes remain unclear. Herein, we utilized the zebrafish model to search for pathways affected by a deficiency of LRP4. The lrp4 knockdown in zebrafish embryos exhibits cyst formations at fin structures and the caudal vein plexus, malformed pectoral fins, defective bone formation and compromised kidney morphogenesis; which partially phenocopied the human LRP4 mutations and were reminiscent of phenotypes resulting form a perturbed Notch signaling pathway. We discovered that the Lrp4-deficient zebrafish manifested increased Notch outputs in addition to enhanced Wnt signaling, with the expression of Notch ligand jagged1b being significantly elevated at the fin structures. To examine conservatism of signaling mechanisms, the effect of LRP4 missense mutations and siRNA knockdowns, including a novel missense mutation c.1117C > T (p.R373W) of LRP4, were tested in mammalian kidney and osteoblast cells. The results showed that LRP4 suppressed both Wnt/β-Catenin and Notch signaling pathways, and these activities were perturbed either by LRP4 missense mutations or by a knockdown of LRP4. Our finding underscore that LRP4 is required for limiting Jagged-Notch signaling throughout the fin/limb and kidney development, whose perturbation representing a novel mechanism for LRP4-related diseases. Moreover, our study reveals an evolutionarily conserved relationship between LRP4 and Jagged-Notch signaling, which may shed light on how the Notch signaling is fine-tuned during fin/limb development.
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Affiliation(s)
- Jing Tian
- The College of Life Sciences, Northwest University, #229 Taibai North Road, Xi'an, 710069, China.
- State Key Laboratory of Freshwater Ecology and Biotechnology, Wuhan, China.
| | - Jinhui Shao
- The College of Life Sciences, Northwest University, #229 Taibai North Road, Xi'an, 710069, China
| | - Cong Liu
- The College of Life Sciences, Northwest University, #229 Taibai North Road, Xi'an, 710069, China
| | - Hsin-Yu Hou
- Department of Life Science, Tunghai University, No. 1727, Sec. 4, Taiwan Boulevard, Xitun District, Taichung, 40704, Taiwan
| | - Chih-Wei Chou
- Department of Life Science, Tunghai University, No. 1727, Sec. 4, Taiwan Boulevard, Xitun District, Taichung, 40704, Taiwan
| | - Mohammad Shboul
- Department of Medical Laboratory Sciences, Jordan University of Science and Technology, Irbid, Jordan
| | - Guo-Qing Li
- The College of Life Sciences, Northwest University, #229 Taibai North Road, Xi'an, 710069, China
| | | | - Omar Q Samarah
- Orthopedic Division, Special Surgery Department, School of Medicine, The University of Jordan, Amman, Jordan
| | - Yao Kou
- The College of Life Sciences, Northwest University, #229 Taibai North Road, Xi'an, 710069, China
| | - Yu-Hsuan Chen
- Department of Life Science, Tunghai University, No. 1727, Sec. 4, Taiwan Boulevard, Xitun District, Taichung, 40704, Taiwan
| | - Mei-Jen Chen
- Department of Life Science, Tunghai University, No. 1727, Sec. 4, Taiwan Boulevard, Xitun District, Taichung, 40704, Taiwan
| | - Zhaojie Lyu
- The College of Life Sciences, Northwest University, #229 Taibai North Road, Xi'an, 710069, China
| | - Wei-Leng Chen
- Department of Life Science, Tunghai University, No. 1727, Sec. 4, Taiwan Boulevard, Xitun District, Taichung, 40704, Taiwan
| | - Yu-Fu Chen
- Department of Life Science, Tunghai University, No. 1727, Sec. 4, Taiwan Boulevard, Xitun District, Taichung, 40704, Taiwan
| | - Yong-Hua Sun
- State Key Laboratory of Freshwater Ecology and Biotechnology, Wuhan, China
| | - Yi-Wen Liu
- Department of Life Science, Tunghai University, No. 1727, Sec. 4, Taiwan Boulevard, Xitun District, Taichung, 40704, Taiwan.
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