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基于质谱的靶向蛋白质组学技术同步定量监测人胚胎干细胞分化过程中的转录因子。

Simultaneous and quantitative monitoring transcription factors in human embryonic stem cell differentiation using mass spectrometry-based targeted proteomics.

机构信息

School of Pharmacy, State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China.

Key Laboratory of Cardiovascular & Cerebrovascular Medicine, 211166, Nanjing, China.

出版信息

Anal Bioanal Chem. 2021 Mar;413(8):2081-2089. doi: 10.1007/s00216-021-03160-7. Epub 2021 Mar 2.

Abstract

Human embryonic stem cells (hESCs) can be self-propagated indefinitely in culture while holding the capacity to generate almost all cell types. Although this powerful differentiation ability of hESCs has become a potential source of cell replacement therapies, application of stem cells in clinical practice relies heavily on the exquisite control of their developmental fate. In general, an essential first step in differentiation is to exit the pluripotent state, which is precariously balanced and depends on a variety of factors, mainly centering on the core transcriptional mechanism. To date, much evidence has indicated that transcription factors such as Sox2, Oct4, and Nanog control the self-renewal and pluripotency of hESCs. Their expression displays a restricted spatial-temporal pattern and their small changes in level can significantly affect directed differentiation and the cell type derived. So far, few assays have been developed to monitor this process. Herein, we provided a mass spectrometry (MS)-based approach for simultaneous and quantitative monitoring of these transcription factors, in an attempt to provide insight into their contributions in hESC differentiation.

摘要

人类胚胎干细胞(hESCs)在培养中可以无限自我增殖,同时具有生成几乎所有细胞类型的能力。尽管 hESCs 这种强大的分化能力已成为细胞替代疗法的潜在来源,但干细胞在临床实践中的应用在很大程度上依赖于对其发育命运的精细控制。一般来说,分化的一个基本的第一步是退出多能状态,这种状态不稳定,取决于多种因素,主要集中在核心转录机制上。迄今为止,大量证据表明,Sox2、Oct4 和 Nanog 等转录因子控制着 hESCs 的自我更新和多能性。它们的表达呈现出一种受限的时空模式,其水平的微小变化会显著影响定向分化和衍生的细胞类型。到目前为止,还开发出很少的检测方法来监测这个过程。在此,我们提供了一种基于质谱(MS)的方法,用于同时定量监测这些转录因子,试图深入了解它们在 hESC 分化中的贡献。

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