成熟人无饲养层iPSC衍生神经元的高含量筛选小型化和单细胞成像。

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Elizabeth R. Sharlow , Danielle C. Llaneza , William E. Grever , Garnett A. Mingledorff , Anna J. Mendelson , George S. Bloom , John S. Lazo
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引用次数: 2

摘要

人类诱导多能干细胞(iPSC)衍生的神经元正越来越多地用于高含量成像和筛选。然而,iPSC衍生的神经元分化和成熟是时间密集型的,通常需要>8周。不幸的是,分化和成熟的iPSC衍生的神经元培养物也倾向于迁移和融合成神经节样簇,这使得单细胞分析具有挑战性,尤其是在小型化的形式下。使用我们定义的细胞外基质和用于人类皮层神经元分化和成熟的低氧培养条件,我们进一步以小型化形式(即96孔)修改了神经元祖细胞接种密度和无饲养层培养条件,以减少神经元聚集,增强单细胞鉴定并减少通常在延长神经元细胞培养后观察到的边缘效应。随后的算法开发完善了区分和识别单个成熟神经元的能力,如NeuN表达所识别的,这些神经元与被排除在图像分析之外的大细胞聚集体。在分化和成熟期掺入星形胶质细胞条件培养基显著增加了分化后4周检测到的成熟神经元(即NeuN+)的百分比(即~10%至~30%)。在基于人群和基于图像的神经毒性测定格式中,使用该优化测定系统的试点概念验证研究产生了可忽略的边缘效应和稳健的Z因子。此外,美国食品药品监督管理局批准的具有神经毒性副作用的药物莫昔丁在两种筛查形式下都被确定为热门药物。这种小型化、无饲养层的格式和图像分析算法提供了一个基础成像和筛选平台,可以对分化的人类神经元进行定量单细胞分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

High content screening miniaturization and single cell imaging of mature human feeder layer-free iPSC-derived neurons

High content screening miniaturization and single cell imaging of mature human feeder layer-free iPSC-derived neurons

High content screening miniaturization and single cell imaging of mature human feeder layer-free iPSC-derived neurons

High content screening miniaturization and single cell imaging of mature human feeder layer-free iPSC-derived neurons

Human induced pluripotent stem cell (iPSC)-derived neurons are being increasingly used for high content imaging and screening. However, iPSC-derived neuronal differentiation and maturation is time-intensive, often requiring >8 weeks. Unfortunately, the differentiating and maturing iPSC-derived neuronal cultures also tend to migrate and coalesce into ganglion-like clusters making single-cell analysis challenging, especially in miniaturized formats. Using our defined extracellular matrix and low oxygen culturing conditions for the differentiation and maturation of human cortical neurons, we further modified neuronal progenitor cell seeding densities and feeder layer-free culturing conditions in miniaturized formats (i.e., 96 well) to decrease neuronal clustering, enhance single-cell identification and reduce edge effects usually observed after extended neuronal cell culture. Subsequent algorithm development refined capabilities to distinguish and identify single mature neurons, as identified by NeuN expression, from large cellular aggregates, which were excluded from image analysis. Incorporation of astrocyte conditioned medium during differentiation and maturation periods significantly increased the percentage (i.e., ∼10% to ∼30%) of mature neurons (i.e., NeuN+) detected at 4-weeks post-differentiation. Pilot, proof of concept studies using this optimized assay system yielded negligible edge effects and robust Z-factors in population-based as well as image-based neurotoxicity assay formats. Moreover, moxidectin, an FDA-approved drug with documented neurotoxic adverse effects, was identified as a hit using both screening formats. This miniaturized, feeder layer-free format and image analysis algorithm provides a foundational imaging and screening platform, which enables quantitative single-cell analysis of differentiated human 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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