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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Main Authors: Teo, Adrian Kee Keong, Gupta, Manoj K., Doria, Alessandro, Kulkarni, Rohit N.
Other Authors: School of Biological Sciences
Format: Article
Language:English
Published: 2015
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Online Access:https://hdl.handle.net/10356/104324
http://hdl.handle.net/10220/38812
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Institution: Nanyang Technological University
Language: English
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spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Diabetes; Metabolic disease; Pluripotent stem cells; Genome editing; CRISPR/Cas; Disease modeling
spellingShingle 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
description 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.
author2 School of Biological Sciences
author_facet School of Biological Sciences
Teo, Adrian Kee Keong
Gupta, Manoj K.
Doria, Alessandro
Kulkarni, Rohit N.
format Article
author Teo, Adrian Kee Keong
Gupta, Manoj K.
Doria, Alessandro
Kulkarni, Rohit N.
author_sort 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
title_fullStr Dissecting diabetes/metabolic disease mechanisms using pluripotent stem cells and genome editing tools
title_full_unstemmed Dissecting diabetes/metabolic disease mechanisms using pluripotent stem cells and genome editing tools
title_sort dissecting diabetes/metabolic disease mechanisms using pluripotent stem cells and genome editing tools
publishDate 2015
url https://hdl.handle.net/10356/104324
http://hdl.handle.net/10220/38812
_version_ 1759855195324416000