Dissecting diabetes/metabolic disease mechanisms using pluripotent stem cells and genome editing tools
Background: Diabetes and metabolic syndromes are chronic, devastating diseases with increasing prevalence. Human pluripotent stem cells are gaining popularity in their usage for human in vitro disease modeling. With recent rapid advances in genome editing tools, these cells can now be genetically ma...
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sg-ntu-dr.10356-1043242023-02-28T17:06:13Z Dissecting diabetes/metabolic disease mechanisms using pluripotent stem cells and genome editing tools Teo, Adrian Kee Keong Gupta, Manoj K. Doria, Alessandro Kulkarni, Rohit N. School of Biological Sciences Diabetes; Metabolic disease; Pluripotent stem cells; Genome editing; CRISPR/Cas; Disease modeling Background: Diabetes and metabolic syndromes are chronic, devastating diseases with increasing prevalence. Human pluripotent stem cells are gaining popularity in their usage for human in vitro disease modeling. With recent rapid advances in genome editing tools, these cells can now be genetically manipulated with relative ease to study how genes and gene variants contribute to diabetes and metabolic syndromes. Scope of review: We highlight the diabetes and metabolic genes and gene variants, which could potentially be studied, using two powerful technologies – human pluripotent stem cells (hPSCs) and genome editing tools – to aid the elucidation of yet elusive mechanisms underlying these complex diseases. Major conclusions: hPSCs and the advancing genome editing tools appear to be a timely and potent combination for probing molecular mechanism(s) underlying diseases such as diabetes and metabolic syndromes. The knowledge gained from these hiPSC-based disease modeling studies can potentially be translated into the clinics by guiding clinicians on the appropriate type of medication to use for each condition based on the mechanism of action of the disease. Published version 2015-10-16T06:42:38Z 2019-12-06T21:30:26Z 2015-10-16T06:42:38Z 2019-12-06T21:30:26Z 2015 2015 Journal Article Teo, A. K. K., Gupta, M. K., Doria, A., & Kulkarni, R. N. (2015). Dissecting diabetes/metabolic disease mechanisms using pluripotent stem cells and genome editing tools. Molecular Metabolism, 4(9), 593-604. 2212-8778 https://hdl.handle.net/10356/104324 http://hdl.handle.net/10220/38812 10.1016/j.molmet.2015.06.006 26413465 en Molecular Metabolism © 2015 The Authors. Published by Elsevier GmbH. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). application/pdf |
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Diabetes; Metabolic disease; Pluripotent stem cells; Genome editing; CRISPR/Cas; Disease modeling Teo, Adrian Kee Keong Gupta, Manoj K. Doria, Alessandro Kulkarni, Rohit N. Dissecting diabetes/metabolic disease mechanisms using pluripotent stem cells and genome editing tools |
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Background: Diabetes and metabolic syndromes are chronic, devastating diseases with increasing prevalence. Human pluripotent stem cells are gaining popularity in their usage for human in vitro disease modeling. With recent rapid advances in genome editing tools, these cells can now be genetically manipulated with relative ease to study how genes and gene variants contribute to diabetes and metabolic syndromes. Scope of review: We highlight the diabetes and metabolic genes and gene variants, which could potentially be studied, using two powerful technologies – human pluripotent stem cells (hPSCs) and genome editing tools – to aid the elucidation of yet elusive mechanisms underlying these complex diseases. Major conclusions: hPSCs and the advancing genome editing tools appear to be a timely and potent combination for probing molecular mechanism(s) underlying diseases such as diabetes and metabolic syndromes. The knowledge gained from these hiPSC-based disease modeling studies can potentially be translated into the clinics by guiding clinicians on the appropriate type of medication to use for each condition based on the mechanism of action of the disease. |
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School of Biological Sciences |
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School of Biological Sciences Teo, Adrian Kee Keong Gupta, Manoj K. Doria, Alessandro Kulkarni, Rohit N. |
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Article |
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Teo, Adrian Kee Keong Gupta, Manoj K. Doria, Alessandro Kulkarni, Rohit N. |
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Teo, Adrian Kee Keong |
title |
Dissecting diabetes/metabolic disease mechanisms using pluripotent stem cells and genome editing tools |
title_short |
Dissecting diabetes/metabolic disease mechanisms using pluripotent stem cells and genome editing tools |
title_full |
Dissecting diabetes/metabolic disease mechanisms using pluripotent stem cells and genome editing tools |
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Dissecting diabetes/metabolic disease mechanisms using pluripotent stem cells and genome editing tools |
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Dissecting diabetes/metabolic disease mechanisms using pluripotent stem cells and genome editing tools |
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dissecting diabetes/metabolic disease mechanisms using pluripotent stem cells and genome editing tools |
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2015 |
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https://hdl.handle.net/10356/104324 http://hdl.handle.net/10220/38812 |
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