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Abstract
Monogenic diabetes includes several clinical conditions generally characterized by early-onset diabetes, such as neonatal diabetes, maturity-onset diabetes of the young (MODY) and various diabetes-associated syndromes. However, patients with apparent type 2 diabetes mellitus may actually have monogenic diabetes. Indeed, the same monogenic diabetes gene can contribute to different forms of diabetes with early or late onset, depending on the functional impact of the variant, and the same pathogenic variant can produce variable diabetes phenotypes, even in the same family. Monogenic diabetes is mostly caused by impaired function or development of pancreatic islets, with defective insulin secretion in the absence of obesity. The most prevalent form of monogenic diabetes is MODY, which may account for 0.5-5% of patients diagnosed with non-autoimmune diabetes but is probably underdiagnosed owing to insufficient genetic testing. Most patients with neonatal diabetes or MODY have autosomal dominant diabetes. More than 40 subtypes of monogenic diabetes have been identified to date, the most prevalent being deficiencies of GCK and HNF1A. Precision medicine approaches (including specific treatments for hyperglycaemia, monitoring associated extra-pancreatic phenotypes and/or following up clinical trajectories, especially during pregnancy) are available for some forms of monogenic diabetes (including GCK- and HNF1A-diabetes) and increase patients' quality of life. Next-generation sequencing has made genetic diagnosis affordable, enabling effective genomic medicine in monogenic diabetes.
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Davis MI, Auld DS, Inglese J. Bioluminescence Methods for Assaying Kinases in Quantitative High-Throughput Screening (qHTS) Format Applied to Yes1 Tyrosine Kinase, Glucokinase, and PI5P4Kα Lipid Kinase. Methods Mol Biol 2016; 1360:47-58. [PMID: 26501901 DOI: 10.1007/978-1-4939-3073-9_4] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Assays in which the detection of a biological phenomenon is coupled to the production of bioluminescence by luciferase have gained widespread use. As firefly luciferases (FLuc) and kinases share a common substrate (ATP), coupling of a kinase to FLuc allows for the amount of ATP remaining following a kinase reaction to be assessed by quantitating the amount of luminescence produced. Alternatively, the amount of ADP produced by the kinase reaction can be coupled to FLuc through a two-step process. This chapter describes the bioluminescent assays that were developed for three classes of kinases (lipid, protein, and metabolic kinases) and miniaturized to 1536-well format, enabling their use for quantitative high-throughput (qHTS) of small-molecule libraries.
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Affiliation(s)
- Mindy I Davis
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA
| | - Douglas S Auld
- Center for Proteomic Chemistry, Novartis Institutes for Biomedical Research, Cambridge, MA, USA
| | - James Inglese
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA.
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Hall MD, Simeonov A, Davis MI. Avoiding Fluorescence Assay Interference-The Case for Diaphorase. Assay Drug Dev Technol 2016; 14:175-9. [PMID: 27078679 PMCID: PMC4840916 DOI: 10.1089/adt.2016.707] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
Fluorescence is utilized as the output for a range of assay formats used in high-throughput screening (HTS). Interference with these assays from the compounds in libraries utilized in HTS is a well-recognized phenomenon, particularly for assays relying on UV excitation such as for direct detection of the oxidoreductase cofactors NADH or NADPH. In this study, we discuss these interference challenges and highlight the specific case of the diaphorase/resazurin system that can be coupled to enzymes utilizing NADH or NADPH. We review the utilization of this assay system in the literature and argue that the diaphorase/resazurin system is underutilized in assay development. It is the authors' hope that this Perspective and the accompanying Technical Brief in this issue will stimulate interest in a robust and sensitive coupling system to avoid assay fluorescence interference.
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Affiliation(s)
- Matthew D Hall
- NCATS Chemical Genomics Center, National Center for Advancing Translational Sciences, National Institutes of Health , Rockville, Maryland
| | - Anton Simeonov
- NCATS Chemical Genomics Center, National Center for Advancing Translational Sciences, National Institutes of Health , Rockville, Maryland
| | - Mindy I Davis
- NCATS Chemical Genomics Center, National Center for Advancing Translational Sciences, National Institutes of Health , Rockville, Maryland
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Rees MG, Raimondo A, Wang J, Ban MR, Davis MI, Barrett A, Ranft J, Jagdhuhn D, Waterstradt R, Baltrusch S, Simeonov A, Collins FS, Hegele RA, Gloyn AL. Inheritance of rare functional GCKR variants and their contribution to triglyceride levels in families. Hum Mol Genet 2014; 23:5570-8. [PMID: 24879641 PMCID: PMC4168830 DOI: 10.1093/hmg/ddu269] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2014] [Revised: 05/11/2014] [Accepted: 05/27/2014] [Indexed: 01/08/2023] Open
Abstract
Significant resources have been invested in sequencing studies to investigate the role of rare variants in complex disease etiology. However, the diagnostic interpretation of individual rare variants remains a major challenge, and may require accurate variant functional classification and the collection of large numbers of variant carriers. Utilizing sequence data from 458 individuals with hypertriglyceridemia and 333 controls with normal plasma triglyceride levels, we investigated these issues using GCKR, encoding glucokinase regulatory protein. Eighteen rare non-synonymous GCKR variants identified in these 791 individuals were comprehensively characterized by a range of biochemical and cell biological assays, including a novel high-throughput-screening-based approach capable of measuring all variant proteins simultaneously. Functionally deleterious variants were collectively associated with hypertriglyceridemia, but a range of in silico prediction algorithms showed little consistency between algorithms and poor agreement with functional data. We extended our study by obtaining sequence data on family members; however, functional variants did not co-segregate with triglyceride levels. Therefore, despite evidence for their collective functional and clinical relevance, our results emphasize the low predictive value of rare GCKR variants in individuals and the complex heritability of lipid traits.
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Affiliation(s)
- Matthew G Rees
- Oxford Centre for Diabetes, Endocrinology & Metabolism, University of Oxford, Oxford OX3 7LE, UK, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Anne Raimondo
- Oxford Centre for Diabetes, Endocrinology & Metabolism, University of Oxford, Oxford OX3 7LE, UK
| | - Jian Wang
- Departments of Medicine and Biochemistry, Schulich School of Medicine and Dentistry, Robarts Research Institute, University of Western Ontario, London, ON N6A 3K6, Canada
| | - Matthew R Ban
- Departments of Medicine and Biochemistry, Schulich School of Medicine and Dentistry, Robarts Research Institute, University of Western Ontario, London, ON N6A 3K6, Canada
| | - Mindy I Davis
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Amy Barrett
- Oxford Centre for Diabetes, Endocrinology & Metabolism, University of Oxford, Oxford OX3 7LE, UK
| | - Jessica Ranft
- Institute for Medical Biochemistry & Molecular Biology, University of Rostock, Rostock 18057, Germany and
| | - David Jagdhuhn
- Institute for Medical Biochemistry & Molecular Biology, University of Rostock, Rostock 18057, Germany and
| | - Rica Waterstradt
- Institute for Medical Biochemistry & Molecular Biology, University of Rostock, Rostock 18057, Germany and
| | - Simone Baltrusch
- Institute for Medical Biochemistry & Molecular Biology, University of Rostock, Rostock 18057, Germany and
| | - Anton Simeonov
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, USA
| | - Francis S Collins
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Robert A Hegele
- Departments of Medicine and Biochemistry, Schulich School of Medicine and Dentistry, Robarts Research Institute, University of Western Ontario, London, ON N6A 3K6, Canada
| | - Anna L Gloyn
- Oxford Centre for Diabetes, Endocrinology & Metabolism, University of Oxford, Oxford OX3 7LE, UK, NIHR Oxford Biomedical Research Centre, ORH Trust, OCDEM, Churchill Hospital, Oxford OX3 7LE, UK
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