利用SemKur-IM(一种新型荧光双硫代探针)实时检测ipsc衍生的神经元培养物中的硫醇。

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Roxanne Alvarez , Jayson Kurfis , Michael Hendrickson , Daniel S. Sem
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引用次数: 0

摘要

与炎症和氧化应激相关的神经系统疾病显示人脑中谷胱甘肽(GSH)水平降低。从细胞硫醇(包括谷胱甘肽)等生理相关报告者的角度来看,药物发现工作和药理学研究将受益于检测氧化应激变化的工具(例如化学探针)。为此,我们利用ipsc衍生的皮质谷氨酸能神经元开发了一种荧光可视化实验,该神经元装载了25 μM的新型硫醇检测荧光探针SemKur-IM。这种探针能够可视化神经元体细胞和神经突中细胞硫醇水平的变化,以响应暴露于n -乙酰半胱氨酸(NAC)。观察到细胞硫醇氧化还原状态的变化,基于绿色荧光的增加(485 nm激发最大值;525 nm发射最大值),这是由于硫醇水平的变化,从0到40 mM。有趣的是,在NAC处理之前,细胞似乎没有显著水平的硫醇还原。我们的研究证明了SemKur-IM在检测活细胞中对化学物质暴露的硫醇水平方面的效用,例如从药物中使细胞恢复到更健康的还原状态。初步应用筛选阿尔茨海默病的候选药物,Posiphen,使用荧光细胞分选的影响提出。其他潜在的应用包括高通量筛选中枢神经系统(CNS)药物,这些药物被认为是通过影响神经元的细胞氧化还原状态起作用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time thiol detection in iPSC-derived neuron cultures using SemKur-IM, a novel fluorescent dithio probe

Neurological disorders associated with inflammation and oxidative stress show reduced glutathione (GSH) levels in the human brain. Drug discovery efforts and pharmacological studies would benefit from tools (e.g. chemical probes) that detect changes to oxidative stress, from the perspective of physiologically-relevant reporters like cellular thiols, including GSH. To this end, we have developed a fluorescence visualization assay using iPSC-derived cortical glutamatergic neurons that were loaded with 25 μM of a novel thiol-detection fluorescent probe, SemKur-IM. This probe enables visualization of cellular thiol level changes in the neuronal somas and neurites, in response exposure to N-acetyl-cysteine (NAC). Cellular thiol redox state was observed to change, based on an increase in green fluorescence (485 nm excitation maximum; 525 nm emission maximum) due to changes in thiol levels, from 0 to 40 mM. Interestingly, prior to treatment with NAC, cells did not appear to have significant levels of reduced thiols. Our studies demonstrate the utility of SemKur-IM in the detection of thiol levels in live cells in response to chemical exposures, such as from drugs that return the cell to a healthier reduced state. An initial application to screening the effects of an Alzheimer's disease drug candidate, Posiphen, using fluorescence cell sorting is presented. Other potential applications include high throughput screening of central nervous system (CNS) drugs thought to work by affecting cellular redox state in neurons.

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来源期刊
SLAS Discovery
SLAS Discovery Chemistry-Analytical Chemistry
CiteScore
7.00
自引率
3.20%
发文量
58
审稿时长
39 days
期刊介绍: Advancing Life Sciences R&D: SLAS Discovery reports how scientists develop and utilize novel technologies and/or approaches to provide and characterize chemical and biological tools to understand and treat human disease. SLAS Discovery is a peer-reviewed journal that publishes scientific reports that enable and improve target validation, evaluate current drug discovery technologies, provide novel research tools, and incorporate research approaches that enhance depth of knowledge and drug discovery success. SLAS Discovery emphasizes scientific and technical advances in target identification/validation (including chemical probes, RNA silencing, gene editing technologies); biomarker discovery; assay development; virtual, medium- or high-throughput screening (biochemical and biological, biophysical, phenotypic, toxicological, ADME); lead generation/optimization; chemical biology; and informatics (data analysis, image analysis, statistics, bio- and chemo-informatics). Review articles on target biology, new paradigms in drug discovery and advances in drug discovery technologies. SLAS Discovery is of particular interest to those involved in analytical chemistry, applied microbiology, automation, biochemistry, bioengineering, biomedical optics, biotechnology, bioinformatics, cell biology, DNA science and technology, genetics, information technology, medicinal chemistry, molecular biology, natural products chemistry, organic chemistry, pharmacology, spectroscopy, and toxicology. SLAS Discovery is a member of the Committee on Publication Ethics (COPE) and was published previously (1996-2016) as the Journal of Biomolecular Screening (JBS).
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