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Cell-based RNAi screening and high-content analysis in primary calvarian osteoblasts applied to identification of osteoblast differentiation regulators

机译:基于细胞的RNAi筛选和原发性颅骨成骨细胞的高含量分析用于鉴定成骨细胞分化调节剂

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摘要

Osteoblasts are responsible for the maintenance of bone homeostasis. Deregulation of their differentiation is etiologically linked to several bone disorders, making this process an important target for therapeutic intervention. Systemic identification of osteoblast regulators has been hampered by the unavailability of physiologically relevant in vitro systems suitable for efficient RNAi and for differentiation read-outs compatible with fluorescent microscopy-based high-content analysis (HCA). Here, we report a new method for identification of osteoblast differentiation regulators by combining siRNA transfection in physiologically relevant cells with high-throughput screening (HTS). Primary mouse calvarial osteoblasts were seeded in 384-well format and reverse transfected with siRNAs and their cell number and differentiation was assayed by HCA. Automated image acquisition allowed high-throughput analyses and classification of single cell features. The physiological relevance, reproducibility, and sensitivity of the method were validated using known regulators of osteoblast differentiation. The application of HCA to siRNAs against expression of 320 genes led to the identification of five potential suppressors and 60 activators of early osteoblast differentiation. The described method and the associated analysis pipeline are not restricted to RNAi-based screening, but can be adapted to large-scale drug HTS or to small-scale targeted experiments, to identify new critical factors important for early osteoblastogenesis.
机译:成骨细胞负责维持骨稳态。从病因上讲,它们分化的失调与几种骨骼疾病有关,使这一过程成为治疗干预的重要目标。成骨细胞调节剂的系统鉴定已被生理学上适用于有效RNAi和与基于荧光显微镜的高含量分析(HCA)兼容的分化读数的体外系统的可用性所困扰。在这里,我们报告了一种通过将siRNA转染在生理相关细胞中与高通量筛选(HTS)结合来鉴定成骨细胞分化调节剂的新方法。将原代小鼠颅盖成骨细胞以384孔格式接种,并用siRNA进行反向转染,并通过HCA检测其细胞数量和分化。自动化的图像采集功能可对单细胞特征进行高通量分析和分类。使用已知的成骨细胞分化调节剂验证了该方法的生理相关性,可重复性和敏感性。将HCA应用于针对320个基因表达的siRNA导致鉴定了5种潜在的抑制因子和60种早期成骨细胞活化因子。所描述的方法和相关的分析流程不限于基于RNAi的筛选,而是可以适用于大规模药物HTS或小型靶向实验,以识别对早期成骨细胞形成重要的新关键因素。

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