• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

脑类器官在药物研发中的未来。

The future of cerebral organoids in drug discovery.

作者信息

Salick Max R, Lubeck Eric, Riesselman Adam, Kaykas Ajamete

机构信息

insitro 279 East Grand Avenue South, San Francisco CA, United States.

出版信息

Semin Cell Dev Biol. 2021 Mar;111:67-73. doi: 10.1016/j.semcdb.2020.05.024. Epub 2020 Jul 9.

DOI:10.1016/j.semcdb.2020.05.024
PMID:32654970
Abstract

Until the discovery of human embryonic stem cells and human induced pluripotent stem cells, biotechnology companies were severely limited in the number of human tissues that they could model in large-scale in vitro studies. Until this point, companies have been limited to immortalized cancer lines or a small number of primary cell types that could be extracted and expanded. Nowadays, protocols continue to be developed in the stem cell field, enabling researchers to model an ever-growing library of cell types in controlled, large-scale screens. One differentiation method in particular- cerebral organoids- shows substantial potential in the field of neuroscience and developmental neurobiology. Cerebral organoid technology is still in an early phase of development, and there are several challenges that are currently being addressed by academic and industrial researchers alike. Here we briefly describe some of the early adopters of cerebral organoids, several of the challenges that they are likely facing, and various technologies that are currently being implemented to overcome them.

摘要

在人类胚胎干细胞和人类诱导多能干细胞被发现之前,生物技术公司在大规模体外研究中能够模拟的人体组织数量受到严重限制。在此之前,公司只能局限于永生化癌细胞系或少数几种可以提取和扩增的原代细胞类型。如今,干细胞领域仍在不断开发新的方案,使研究人员能够在可控的大规模筛选中模拟越来越多的细胞类型库。特别是一种分化方法——脑类器官——在神经科学和发育神经生物学领域显示出巨大潜力。脑类器官技术仍处于早期发展阶段,学术界和产业界的研究人员目前都在应对一些挑战。在此,我们简要介绍一些早期采用脑类器官的情况、他们可能面临的一些挑战,以及目前为克服这些挑战而采用的各种技术。

相似文献

1
The future of cerebral organoids in drug discovery.脑类器官在药物研发中的未来。
Semin Cell Dev Biol. 2021 Mar;111:67-73. doi: 10.1016/j.semcdb.2020.05.024. Epub 2020 Jul 9.
2
Advancing Drug Discovery for Neurological Disorders Using iPSC-Derived Neural Organoids.利用 iPSC 衍生的神经类器官推进神经紊乱药物研发。
Int J Mol Sci. 2021 Mar 6;22(5):2659. doi: 10.3390/ijms22052659.
3
Brain organoids: A new frontier of human neuroscience research.脑类器官:人类神经科学研究的新前沿。
Semin Cell Dev Biol. 2021 Mar;111:1-3. doi: 10.1016/j.semcdb.2020.10.011. Epub 2020 Nov 3.
4
A CRISP(e)R view on kidney organoids allows generation of an induced pluripotent stem cell-derived kidney model for drug discovery.CRISP(e)R 技术下的肾脏类器官为药物研发提供了诱导多能干细胞衍生的肾脏模型。
Kidney Int. 2018 Dec;94(6):1099-1110. doi: 10.1016/j.kint.2018.05.003. Epub 2018 Jul 31.
5
Modeling neurodegenerative diseases using stem cells: is it accelerating drug discovery?利用干细胞模拟神经退行性疾病:它是否正在加速药物研发?
Future Med Chem. 2012 Sep;4(13):1651-3. doi: 10.4155/fmc.12.101.
6
Concise Review: Induced Pluripotent Stem Cell-Based Drug Discovery for Mitochondrial Disease.简明综述:基于诱导多能干细胞的药物发现用于治疗线粒体疾病。
Stem Cells. 2017 Jul;35(7):1655-1662. doi: 10.1002/stem.2637. Epub 2017 May 22.
7
Deconstructing and reconstructing the human brain with regionally specified brain organoids.利用区域特异性脑类器官解构与重建人类大脑。
Semin Cell Dev Biol. 2021 Mar;111:40-51. doi: 10.1016/j.semcdb.2020.05.023. Epub 2020 Jun 15.
8
Taming human brain organoids one cell at a time.逐个细胞驯化人类脑类器官。
Semin Cell Dev Biol. 2021 Mar;111:23-31. doi: 10.1016/j.semcdb.2020.05.022. Epub 2020 Jul 24.
9
Drug discovery in psychopharmacology: from 2D models to cerebral organoids
.精神药理学中的药物发现:从二维模型到大脑类器官
Dialogues Clin Neurosci. 2019;21(2):203-224. doi: 10.31887/DCNS.2019.21.2/jladewig.
10
High-content, targeted RNA-seq screening in organoids for drug discovery in colorectal cancer.类器官中的高内涵、靶向 RNA-seq 筛选在结直肠癌药物发现中的应用。
Cell Rep. 2021 Apr 20;35(3):109026. doi: 10.1016/j.celrep.2021.109026.

引用本文的文献

1
Model systems for emulating human tissue and physiology in psychiatric research.用于在精神疾病研究中模拟人体组织和生理学的模型系统。
Front Neurosci. 2025 Apr 4;19:1527826. doi: 10.3389/fnins.2025.1527826. eCollection 2025.
2
Unraveling the Molecular Landscape of SCN1A Gene Knockout in Cerebral Organoids: A Multiomics Approach Utilizing Proteomics, Lipidomics, and Transcriptomics.解析脑类器官中SCN1A基因敲除的分子图谱:一种利用蛋白质组学、脂质组学和转录组学的多组学方法
ACS Omega. 2024 Sep 13;9(38):39804-39816. doi: 10.1021/acsomega.4c05039. eCollection 2024 Sep 24.
3
Reducing education inequalities through cloud-enabled live-cell biotechnology.
通过基于云的活细胞生物技术减少教育不平等。
Trends Biotechnol. 2025 Jan;43(1):43-60. doi: 10.1016/j.tibtech.2024.07.015. Epub 2024 Aug 28.
4
Emerging Models to Study Human Microglia In vitro.体外研究人小神经胶质细胞的新兴模型。
Adv Neurobiol. 2024;37:545-568. doi: 10.1007/978-3-031-55529-9_30.
5
Guidelines for Manufacturing and Application of Organoids: Brain.类器官制造与应用指南:脑
Int J Stem Cells. 2024 May 30;17(2):158-181. doi: 10.15283/ijsc24056. Epub 2024 May 23.
6
Human brain organoid: trends, evolution, and remaining challenges.人类脑类器官:趋势、演变及尚存的挑战。
Neural Regen Res. 2024 Nov 1;19(11):2387-2399. doi: 10.4103/1673-5374.390972. Epub 2023 Dec 15.
7
Internet-Connected Cortical Organoids for Project-Based Stem Cell and Neuroscience Education.基于项目的干细胞和神经科学教育的联网皮质类器官
eNeuro. 2023 Dec 26;10(12). doi: 10.1523/ENEURO.0308-23.2023. Print 2023 Dec.
8
Internet-connected cortical organoids for project-based stem cell and neuroscience education.用于基于项目的干细胞与神经科学教育的联网皮质类器官
bioRxiv. 2023 Jul 15:2023.07.13.546418. doi: 10.1101/2023.07.13.546418.
9
Revolutionizing Disease Modeling: The Emergence of Organoids in Cellular Systems.颠覆疾病建模:类器官在细胞系统中的出现。
Cells. 2023 Mar 18;12(6):930. doi: 10.3390/cells12060930.
10
BOMA, a machine-learning framework for comparative gene expression analysis across brains and organoids.BOMA,一种用于跨大脑和类器官进行比较基因表达分析的机器学习框架。
Cell Rep Methods. 2023 Feb 15;3(2):100409. doi: 10.1016/j.crmeth.2023.100409. eCollection 2023 Feb 27.