Schmandke Andre, Schmandke Antonio, Pietro Maurianne A, Schwab Martin E
Brain Research Institute, University of Zurich and Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
PLoS One. 2013 Oct 21;8(10):e78212. doi: 10.1371/journal.pone.0078212. eCollection 2013.
Adhesion dependent mechanisms are increasingly recognized to be important for a wide range of biological processes, diseases and therapeutics. This has led to a rising demand of pharmaceutical modulators. However, most currently available adhesion assays are time consuming and/or lack sensitivity and reproducibility or depend on specialized and expensive equipment often only available at screening facilities. Thus, rapid and economical high-content screening approaches are urgently needed.
We established a fully open source high-content screening method for identifying modulators of adhesion. We successfully used this method to detect small molecules that are able to influence cell adhesion and cell spreading of Swiss-3T3 fibroblasts in general and/or specifically counteract Nogo-A-Δ20-induced inhibition of adhesion and cell spreading. The tricyclic anti-depressant clomipramine hydrochloride was shown to not only inhibit Nogo-A-Δ20-induced cell spreading inhibition in 3T3 fibroblasts but also to promote growth and counteract neurite outgrowth inhibition in highly purified primary neurons isolated from rat cerebellum.
We have developed and validated a high content screening approach that can be used in any ordinarily equipped cell biology laboratory employing exclusively freely available open-source software in order to find novel modulators of adhesion and cell spreading. The versatility and adjustability of the whole screening method will enable not only centers specialized in high-throughput screens but most importantly also labs not routinely employing screens in their daily work routine to investigate the effects of a wide range of different compounds or siRNAs on adhesion and adhesion-modulating molecules.
依赖黏附的机制对于广泛的生物过程、疾病和治疗方法的重要性日益得到认可。这导致对药物调节剂的需求不断增加。然而,目前大多数可用的黏附检测方法耗时且/或缺乏灵敏度和可重复性,或者依赖于通常仅在筛选设施中可用的专门且昂贵的设备。因此,迫切需要快速且经济的高内涵筛选方法。
我们建立了一种用于鉴定黏附调节剂的完全开源的高内涵筛选方法。我们成功地使用该方法检测能够影响瑞士3T3成纤维细胞黏附和细胞铺展的小分子,并且/或者特异性地抵消Nogo-A-Δ20诱导的黏附和细胞铺展抑制。三环抗抑郁药盐酸氯米帕明不仅在3T3成纤维细胞中抑制Nogo-A-Δ20诱导的细胞铺展抑制,而且在从大鼠小脑中分离的高度纯化的原代神经元中促进生长并抵消神经突生长抑制。
我们已经开发并验证了一种高内涵筛选方法,该方法可用于任何配备普通设备的细胞生物学实验室,仅使用免费的开源软件,以寻找黏附和细胞铺展的新型调节剂。整个筛选方法的多功能性和可调节性不仅将使专门从事高通量筛选的中心受益,而且最重要的是,也将使日常工作中不经常进行筛选的实验室能够研究各种不同化合物或小干扰RNA对黏附和黏附调节分子的影响。