NEUBOrg: Artificially Induced Pluripotent Stem Cell-Derived Brain Organoid to Model and Study Genetics of Alzheimer’s Disease Progression

Alzheimer’s disease (AD) is the most common type of neurodegenerative diseases. There are over 44 million people living with the disease worldwide. While there are currently no effective treatments for AD, induced pluripotent stem cell-derived brain organoids have the potential to provide a better u...

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Main Authors: Sally Esmail, Wayne R. Danter
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Aging Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2021.643889/full
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spelling doaj-a86a5b9fa7df4ad194ab21ea6de208572021-02-23T06:01:35ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652021-02-011310.3389/fnagi.2021.643889643889NEUBOrg: Artificially Induced Pluripotent Stem Cell-Derived Brain Organoid to Model and Study Genetics of Alzheimer’s Disease ProgressionSally EsmailWayne R. DanterAlzheimer’s disease (AD) is the most common type of neurodegenerative diseases. There are over 44 million people living with the disease worldwide. While there are currently no effective treatments for AD, induced pluripotent stem cell-derived brain organoids have the potential to provide a better understanding of Alzheimer’s pathogenesis. Nevertheless, developing brain organoid models is expensive, time consuming and often does not reflect disease progression. Using accurate and inexpensive computer simulations of human brain organoids can overcome the current limitations. Induced whole brain organoids (aiWBO) will greatly expand our ability to model AD and can guide wet lab research. In this study, we have successfully developed and validated artificially induced a whole brain organoid platform (NEUBOrg) using our previously validated machine learning platform, DeepNEU (v6.1). Using NEUBorg platform, we have generated aiWBO simulations of AD and provided a novel approach to test genetic risk factors associated with AD progression and pathogenesis.https://www.frontiersin.org/articles/10.3389/fnagi.2021.643889/fullAlzhimer’s diseasebrain organoidsstem cell-derived brain organoidsmachine learninggenetic risk factordrug discovery
collection DOAJ
language English
format Article
sources DOAJ
author Sally Esmail
Wayne R. Danter
spellingShingle Sally Esmail
Wayne R. Danter
NEUBOrg: Artificially Induced Pluripotent Stem Cell-Derived Brain Organoid to Model and Study Genetics of Alzheimer’s Disease Progression
Frontiers in Aging Neuroscience
Alzhimer’s disease
brain organoids
stem cell-derived brain organoids
machine learning
genetic risk factor
drug discovery
author_facet Sally Esmail
Wayne R. Danter
author_sort Sally Esmail
title NEUBOrg: Artificially Induced Pluripotent Stem Cell-Derived Brain Organoid to Model and Study Genetics of Alzheimer’s Disease Progression
title_short NEUBOrg: Artificially Induced Pluripotent Stem Cell-Derived Brain Organoid to Model and Study Genetics of Alzheimer’s Disease Progression
title_full NEUBOrg: Artificially Induced Pluripotent Stem Cell-Derived Brain Organoid to Model and Study Genetics of Alzheimer’s Disease Progression
title_fullStr NEUBOrg: Artificially Induced Pluripotent Stem Cell-Derived Brain Organoid to Model and Study Genetics of Alzheimer’s Disease Progression
title_full_unstemmed NEUBOrg: Artificially Induced Pluripotent Stem Cell-Derived Brain Organoid to Model and Study Genetics of Alzheimer’s Disease Progression
title_sort neuborg: artificially induced pluripotent stem cell-derived brain organoid to model and study genetics of alzheimer’s disease progression
publisher Frontiers Media S.A.
series Frontiers in Aging Neuroscience
issn 1663-4365
publishDate 2021-02-01
description Alzheimer’s disease (AD) is the most common type of neurodegenerative diseases. There are over 44 million people living with the disease worldwide. While there are currently no effective treatments for AD, induced pluripotent stem cell-derived brain organoids have the potential to provide a better understanding of Alzheimer’s pathogenesis. Nevertheless, developing brain organoid models is expensive, time consuming and often does not reflect disease progression. Using accurate and inexpensive computer simulations of human brain organoids can overcome the current limitations. Induced whole brain organoids (aiWBO) will greatly expand our ability to model AD and can guide wet lab research. In this study, we have successfully developed and validated artificially induced a whole brain organoid platform (NEUBOrg) using our previously validated machine learning platform, DeepNEU (v6.1). Using NEUBorg platform, we have generated aiWBO simulations of AD and provided a novel approach to test genetic risk factors associated with AD progression and pathogenesis.
topic Alzhimer’s disease
brain organoids
stem cell-derived brain organoids
machine learning
genetic risk factor
drug discovery
url https://www.frontiersin.org/articles/10.3389/fnagi.2021.643889/full
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