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Sunden M, Upadhyay D, Banerjee R, Sipari N, Fellman V, Kallijärvi J, Purhonen J. Enzymatic assay for UDP-GlcNAc and its application in the parallel assessment of substrate availability and protein O-GlcNAcylation. CELL REPORTS METHODS 2023; 3:100518. [PMID: 37533645 PMCID: PMC10391344 DOI: 10.1016/j.crmeth.2023.100518] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 05/11/2023] [Accepted: 06/05/2023] [Indexed: 08/04/2023]
Abstract
O-linked N-acetylglucosaminylation (O-GlcNAcylation) is a ubiquitous and dynamic non-canonical glycosylation of intracellular proteins. Several branches of metabolism converge at the hexosamine biosynthetic pathway (HBP) to produce the substrate for protein O-GlcNAcylation, the uridine diphosphate N-acetylglucosamine (UDP-GlcNAc). Availability of UDP-GlcNAc is considered a key regulator of O-GlcNAcylation. Yet UDP-GlcNAc concentrations are rarely reported in studies exploring the HBP and O-GlcNAcylation, most likely because the methods to measure it are restricted to specialized chromatographic procedures. Here, we introduce an enzymatic method to quantify cellular and tissue UDP-GlcNAc. The method is based on O-GlcNAcylation of a substrate peptide by O-linked N-acetylglucosamine transferase (OGT) and subsequent immunodetection of the modification. The assay can be performed in dot-blot or microplate format. We apply it to quantify UDP-GlcNAc concentrations in several mouse tissues and cell lines. Furthermore, we show how changes in UDP-GlcNAc levels correlate with O-GlcNAcylation and the expression of OGT and O-GlcNAcase (OGA).
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Affiliation(s)
- Marc Sunden
- Folkhälsan Research Center, Helsinki, Finland
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Divya Upadhyay
- Folkhälsan Research Center, Helsinki, Finland
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Rishi Banerjee
- Folkhälsan Research Center, Helsinki, Finland
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Nina Sipari
- Viikki Metabolomics Unit, University of Helsinki, Helsinki, Finland
| | - Vineta Fellman
- Folkhälsan Research Center, Helsinki, Finland
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Children’s Hospital, Helsinki University Hospital, Helsinki, Finland
- Pediatrics, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Jukka Kallijärvi
- Folkhälsan Research Center, Helsinki, Finland
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Janne Purhonen
- Folkhälsan Research Center, Helsinki, Finland
- Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
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Jiang K, Zheng Y, Lin J, Wu X, Yu Y, Zhu M, Fang X, Zhou M, Li X, Hong D. Diverse myopathological features in the congenital myasthenia syndrome with GFPT1 mutation. Brain Behav 2022; 12:e2469. [PMID: 34978387 PMCID: PMC8865156 DOI: 10.1002/brb3.2469] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 11/14/2021] [Accepted: 12/07/2021] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION Mutations in the GFPT1 gene are associated with a particular subtype of congenital myasthenia syndrome (CMS) called limb-girdle myasthenia with tubular aggregates. However, not all patients show tubular aggregates in muscle biopsy, suggesting the diversity of myopathology should be further investigated. METHODS In this study, we reported two unrelated patients clinically characterized by easy fatigability, limb-girdle muscle weakness, positive decrements of repetitive stimulation, and response to pyridostigmine. The routine examinations of myopathology were conducted. The causative gene was explored by whole-exome screening. In addition, we summarized all GFPT1-related CMS patients with muscle biopsy in the literature. RESULTS Pathogenic biallelic GFPT1 mutations were identified in the two patients. In patient one, muscle biopsy indicated vacuolar myopathic changes and atypical pathological changes of myofibrillar myopathy characterized by desmin deposits, Z-disc disorganization, and electronic dense granulofilamentous aggregation. In patient two, muscle biopsy showed typical myopathy with tubular aggregates. Among the 51 reported GFPT1-related CMS patients with muscle biopsy, most of them showed tubular aggregates myopathy, while rimmed vacuolar myopathy, autophagic vacuolar myopathy, mitochondria-like myopathy, neurogenic myopathy, and unspecific myopathic changes were also observed in some patients. These extra-synaptic pathological changes might be associated with GFPT1-deficiency hypoglycosylation and altered function of muscle-specific glycoproteins, as well as partly responsible for the permanent muscle weakness and resistance to acetylcholinesterase inhibitor therapy. CONCLUSIONS Most patients with GFPT1-related CMS had tubular aggregates in the muscle biopsy, but some patients could show great diversities of the pathological change. The myopathological findings might be a biomarker to predict the prognosis of the disease.
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Affiliation(s)
- Kaiyan Jiang
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yilei Zheng
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jing Lin
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, China.,Department of Medical Genetics, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xiaorong Wu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yanyan Yu
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Min Zhu
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, China.,Department of Medical Genetics, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xin Fang
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, China.,Department of Medical Genetics, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Meihong Zhou
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xiaobing Li
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Daojun Hong
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, China.,Department of Medical Genetics, The First Affiliated Hospital of Nanchang University, Nanchang, China
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Ka J, Jin SW. Zebrafish as an Emerging Model for Dyslipidemia and Associated Diseases. J Lipid Atheroscler 2020; 10:42-56. [PMID: 33537252 PMCID: PMC7838516 DOI: 10.12997/jla.2021.10.1.42] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Revised: 11/06/2020] [Accepted: 11/30/2020] [Indexed: 01/03/2023] Open
Abstract
Dyslipidemia related diseases such as hyperlipidemia and atherosclerosis are the leading cause of death in humans. While cellular and molecular basis on the pathophysiology of dyslipidemia has been extensively investigated over decades, we still lack comprehensive understanding on the etiology of dyslipidemia due to the complexity and the innate multimodality of the diseases. While mouse has been the model organism of choice to investigate the pathophysiology of human dyslipidemia, zebrafish, a small freshwater fish which has traditionally used to study vertebrate development, has recently emerged as an alternative model organism. In this review, we will provide comprehensive perspective on zebrafish as a model organism for human dyslipidemia; we will discuss the attributes of zebrafish as a model, and compare the lipid metabolism in zebrafish and humans. In addition, we will summarize current landscape of zebrafish-based dyslipidemia research.
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Affiliation(s)
- Jun Ka
- Cell Logistics Research Center and School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, Korea
| | - Suk-Won Jin
- Cell Logistics Research Center and School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, Korea.,Yale Cardiovascular Research Center and Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
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Li H, Zhou J, Sun H, Qiu Z, Gao X, Xu Y. CaMeRe: A Novel Tool for Inference of Cancer Metabolic Reprogramming. Front Oncol 2020; 10:207. [PMID: 32161720 PMCID: PMC7052490 DOI: 10.3389/fonc.2020.00207] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 02/06/2020] [Indexed: 12/21/2022] Open
Abstract
Metabolic reprogramming is prevalent in cancer, largely due to its altered chemical environments such as the distinct intracellular concentrations of O2, H2O2 and H+, compared to those in normal tissue cells. The reprogrammed metabolisms are believed to play essential roles in cancer formation and progression. However, it is highly challenging to elucidate how individual normal metabolisms are altered in a cancer-promoting environment; hence for many metabolisms, our knowledge about how they are changed is limited. We present a novel method, CaMeRe (CAncer MEtabolic REprogramming), for identifying metabolic pathways in cancer tissues. Based on the specified starting and ending compounds, along with gene expression data of given cancer tissue samples, CaMeRe identifies metabolic pathways connecting the two compounds via collection of compatible enzymes, which are most consistent with the provided gene-expression data. In addition, cancer-specific knowledge, such as the expression level of bottleneck enzymes in the pathways, is incorporated into the search process, to enable accurate inference of cancer-specific metabolic pathways. We have applied this tool to predict the altered sugar-energy metabolism in cancer, referred to as the Warburg effect, and found the prediction result is highly accurate by checking the appearance and ranking of those key pathways in the results of CaMeRe. Computational evaluation indicates that the tool is fast and capable of handling large metabolic network inference in cancer tissues. Hence, we believe that CaMeRe offers a powerful tool to cancer researchers for their discovery of reprogrammed metabolisms in cancer. The URL of CaMeRe is http://csbl.bmb.uga.edu/CaMeRe/.
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Affiliation(s)
- Haoyang Li
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China
- Cancer Systems Biology Center, The China-Japan Union Hospital, Jilin University, Changchun, China
| | - Juexiao Zhou
- Department of Biology, Southern University of Science and Technology, Shenzhen, China
| | - Huiyan Sun
- School of Artificial Intelligence, Jilin University, Changchun, China
| | - Zhaowen Qiu
- Institute of Information and Computer Engineering, North East Forestry University, Harbin, China
| | - Xin Gao
- Computer Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Ying Xu
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China
- Cancer Systems Biology Center, The China-Japan Union Hospital, Jilin University, Changchun, China
- Computational Systems Biology Lab, Department of Biochemistry and Molecular Biology, Institute of Bioinformatics, University of Georgia, Athens, GA, United States
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