Proteomics applications in next generation induced pluripotent stem cell models.

IF 3.8 3区生物学 Q1 BIOCHEMICAL RESEARCH METHODS

Expert Review of Proteomics Pub Date : 2024-04-01 Epub Date: 2024-03-27 DOI:10.1080/14789450.2024.2334033

Vyshnavi Manda, Jay Pavelka, Edward Lau

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引用次数: 0

Abstract

Introduction: Induced pluripotent stem (iPS) cell technology has transformed biomedical research. New opportunities now exist to create new organoids, microtissues, and body-on-a-chip systems for basic biology investigations and clinical translations.

Areas covered: We discuss the utility of proteomics for attaining an unbiased view into protein expression changes during iPS cell differentiation, cell maturation, and tissue generation. The ability to discover cell-type specific protein markers during the differentiation and maturation of iPS-derived cells has led to new strategies to improve cell production yield and fidelity. In parallel, proteomic characterization of iPS-derived organoids is helping to realize the goal of bridging in vitro and in vivo systems.

Expert opinions: We discuss some current challenges of proteomics in iPS cell research and future directions, including the integration of proteomic and transcriptomic data for systems-level analysis.

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蛋白质组学在新一代诱导多能干细胞模型中的应用。

引言诱导多能干细胞（iPS）技术改变了生物医学研究。现在有了新的机会，可以创建新的器官组织、微组织和片上人体系统，用于基础生物学研究和临床转化：我们讨论了蛋白质组学在 iPS 细胞分化、细胞成熟和组织生成过程中获得无偏见的蛋白质表达变化的实用性。在 iPS 衍生细胞的分化和成熟过程中发现细胞类型特异性蛋白质标记物的能力促使人们采用新的策略来提高细胞生产的产量和保真度。与此同时，iPS 衍生有机体的蛋白质组学特征描述有助于实现连接体外和体内系统的目标：我们讨论了目前 iPS 细胞研究中蛋白质组学面临的一些挑战和未来的发展方向，包括整合蛋白质组和转录组数据进行系统级分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Expert Review of Proteomics 生物-生化研究方法

CiteScore

7.60

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Expert Review of Proteomics (ISSN 1478-9450) seeks to collect together technologies, methods and discoveries from the field of proteomics to advance scientific understanding of the many varied roles protein expression plays in human health and disease. The journal coverage includes, but is not limited to, overviews of specific technological advances in the development of protein arrays, interaction maps, data archives and biological assays, performance of new technologies and prospects for future drug discovery. The journal adopts the unique Expert Review article format, offering a complete overview of current thinking in a key technology area, research or clinical practice, augmented by the following sections: Expert Opinion - a personal view on the most effective or promising strategies and a clear perspective of future prospects within a realistic timescale Article highlights - an executive summary cutting to the author''s most critical points.

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