Modeling common and rare genetic risk factors of neuropsychiatric disorders in human induced pluripotent stem cells

IF 3.6 2区 医学 Q1 PSYCHIATRY Schizophrenia Research Pub Date : 2024-11-01 DOI:10.1016/j.schres.2022.04.003
Abdurrahman W. Muhtaseb , Jubao Duan
{"title":"Modeling common and rare genetic risk factors of neuropsychiatric disorders in human induced pluripotent stem cells","authors":"Abdurrahman W. Muhtaseb ,&nbsp;Jubao Duan","doi":"10.1016/j.schres.2022.04.003","DOIUrl":null,"url":null,"abstract":"<div><div><span><span><span>Recent genome-wide association studies (GWAS) and whole-exome sequencing of neuropsychiatric disorders, especially schizophrenia, have identified a plethora of common and rare disease risk variants/genes. </span>Translating the mounting human </span>genetic discoveries into novel disease biology and more tailored clinical treatments is tied to our ability to causally connect genetic risk variants to molecular and cellular phenotypes. When combined with the </span><u>C</u>lustered <u>R</u>egularly <u>I</u>nterspaced <u>S</u>hort <u>P</u>alindromic <u>R</u><span><span>epeats (CRISPR)/CRISPR-associated (Cas) nuclease-mediated genome editing system, human induced pluripotent stem cell (hiPSC)-derived neural cultures (both 2D and 3D organoids) provide a promising tractable cellular model for bridging the gap between genetic findings and disease biology. In this review, we first conceptualize the advances in understanding the disease polygenicity and convergence from the past decade of iPSC modeling of different types of genetic risk factors of neuropsychiatric disorders. We then discuss the major cell types and cellular phenotypes that are most relevant to neuropsychiatric disorders in iPSC modeling. Finally, we critically review the limitations of iPSC modeling of neuropsychiatric disorders and outline the need for implementing and developing novel methods to </span>scale up the number of iPSC lines and disease risk variants in a systematic manner. Sufficiently scaled-up iPSC modeling and a better functional interpretation of genetic risk variants, in combination with cutting-edge CRISPR/Cas9 gene editing and single-cell multi-omics methods, will enable the field to identify the specific and convergent molecular and cellular phenotypes in precision for neuropsychiatric disorders.</span></div></div>","PeriodicalId":21417,"journal":{"name":"Schizophrenia Research","volume":"273 ","pages":"Pages 39-61"},"PeriodicalIF":3.6000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Schizophrenia Research","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0920996422001566","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0

Abstract

Recent genome-wide association studies (GWAS) and whole-exome sequencing of neuropsychiatric disorders, especially schizophrenia, have identified a plethora of common and rare disease risk variants/genes. Translating the mounting human genetic discoveries into novel disease biology and more tailored clinical treatments is tied to our ability to causally connect genetic risk variants to molecular and cellular phenotypes. When combined with the Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/CRISPR-associated (Cas) nuclease-mediated genome editing system, human induced pluripotent stem cell (hiPSC)-derived neural cultures (both 2D and 3D organoids) provide a promising tractable cellular model for bridging the gap between genetic findings and disease biology. In this review, we first conceptualize the advances in understanding the disease polygenicity and convergence from the past decade of iPSC modeling of different types of genetic risk factors of neuropsychiatric disorders. We then discuss the major cell types and cellular phenotypes that are most relevant to neuropsychiatric disorders in iPSC modeling. Finally, we critically review the limitations of iPSC modeling of neuropsychiatric disorders and outline the need for implementing and developing novel methods to scale up the number of iPSC lines and disease risk variants in a systematic manner. Sufficiently scaled-up iPSC modeling and a better functional interpretation of genetic risk variants, in combination with cutting-edge CRISPR/Cas9 gene editing and single-cell multi-omics methods, will enable the field to identify the specific and convergent molecular and cellular phenotypes in precision for neuropsychiatric disorders.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在人类诱导多能干细胞中模拟神经精神疾病的常见和罕见遗传风险因素。
最近的全基因组关联研究(GWAS)和神经精神疾病,特别是精神分裂症的全外显子组测序,已经确定了大量常见和罕见疾病风险变异/基因。将越来越多的人类基因发现转化为新的疾病生物学和更具针对性的临床治疗,与我们将遗传风险变异与分子和细胞表型因果联系起来的能力息息相关。当与聚集性规则间隔短回文重复序列(CRISPR)/CRISPR相关(Cas)核酸酶介导的基因组编辑系统相结合时,人类诱导多能干细胞(hiPSC)衍生的神经培养物(2D和3D类器官)为弥合遗传发现和疾病生物学之间的差距提供了一个有前途的可处理的细胞模型。在这篇综述中,我们首先概念化了过去十年对神经精神疾病不同类型遗传风险因素的iPSC建模在理解疾病多原性和趋同方面的进展。然后,我们讨论了iPSC建模中与神经精神疾病最相关的主要细胞类型和细胞表型。最后,我们批判性地回顾了神经精神障碍iPSC建模的局限性,并概述了实施和开发新方法的必要性,以系统的方式扩大iPSC系和疾病风险变体的数量。充分放大的iPSC建模和对遗传风险变体的更好功能解释,结合尖端的CRISPR/Cas9基因编辑和单细胞多组学方法,将使该领域能够准确识别神经精神疾病的特异性和收敛性分子和细胞表型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Schizophrenia Research
Schizophrenia Research 医学-精神病学
CiteScore
7.50
自引率
8.90%
发文量
429
审稿时长
10.2 weeks
期刊介绍: As official journal of the Schizophrenia International Research Society (SIRS) Schizophrenia Research is THE journal of choice for international researchers and clinicians to share their work with the global schizophrenia research community. More than 6000 institutes have online or print (or both) access to this journal - the largest specialist journal in the field, with the largest readership! Schizophrenia Research''s time to first decision is as fast as 6 weeks and its publishing speed is as fast as 4 weeks until online publication (corrected proof/Article in Press) after acceptance and 14 weeks from acceptance until publication in a printed issue. The journal publishes novel papers that really contribute to understanding the biology and treatment of schizophrenic disorders; Schizophrenia Research brings together biological, clinical and psychological research in order to stimulate the synthesis of findings from all disciplines involved in improving patient outcomes in schizophrenia.
期刊最新文献
Characterizing the relationship between personality dimensions and psychosis-specific clinical characteristics. Emotional intelligence as a predictor of functional outcomes in psychotic disorders. Ambient coarse particulate matter pollution and hospital admissions for schizophrenia. Positive mental health interventions for people with schizophrenia: A scoping review. Systematic review and meta-analysis of family-based interventions for early psychosis: Carer and patient outcomes.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1