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High throughput platform for rapid evaluation of cell and tissue response to 3D composite materials

机译:高通量平台可快速评估细胞和组织对3D复合材料的反应

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Introduction: Tissue regeneration occurs naturally in most tissues as cells act to remodel and rebuild damaged tissue by inducing structural and compositional changes, but fails to occur in large defects. Extracellular matrix (ECM) and growth factors (GFs) act synergistically to mediate cell processes critical for regeneration, and a comprehensive understanding is necessary to develop of advanced composite biomaterials. Screening becomes increasingly cost-prohibitive as the experimental space grows larger. In order to identify optimal ECM and GF combinations that promote tissue-specific regeneration, we employ a microscale system to rapidly investigate large experimental spaces efficiently and accurately distinguish between highly growth-permissive and growth-inhibitive 3D composite scaffolds. Materials and Methods: Gaskets for housing hydrogel samples were consrtucted from a 3D-printed mold for creating PDMS arrays. Primary rat neurons were seeded at 1~*106 cells/mL into combinatorial libraries of laminin (LN:0-1500 μg/mL) and fibronectin (FN:0-250 μg/mL) mixed into collagen type Ⅰ gels. Collagen type Ⅰ (COL) was chosen as the substrate because it forms the basis for many tissues in vivo (including peripheral nerve tissue). 3D samples were evaluated for metabolism (Alamar Blue) and then fixed and stained for βⅢ-tubulin and nuclei. Samples were imaged using a Thermo Scientific Cellomics AirayScan VT, image processing and analysis executed through ImageJ and MATLAB, and statistical analysis performed via ANOVA and Tukey's HSD. Results and Discussion: Neurons were embedded in 10μL of 1 mg/mL COL gels containing LN and FN and grown for 3 days. After 1 day, there was no difference in Alamar blue signal, indicating relatively even seeding between all sample groups (not shown). Following immunostaining, Z-stacks were taken and compressed images analyzed for neurite outgrowth. Neurite outgrowth was observed in all samples, and preliminary data indicates that significant neurite outgrowth over COL-only gels was observed in nearly all samples containing LN and/or FN (Figure 1). This platform can applied other cell types to rapidly quantify changes in metabolism, cell death and spreading, in addition to more advanced cell-specific processes such as migration and myelination (not shown). Furthermore, co-culture screenings investigating the neuronal outgrowth and glial migration within the same biomaterial screen would provide "tissue response" to a biomaterial library. Conclusions: This framework can rapidly assay large experimental spaces of composite biomaterials to identify optimal cell- and tissue-specific biomaterials. Ultimately, biomimetic synthetic alternatives to novel synergistic ECM-GF combinations found to promote cell growth and regeneration can be tuned using the same platform prior to downstream animal and clinical studies. Advanced biotherapeutics developed through microscale screening of appropriate cell responses will be cheaper and more effective than those derived using traditional macroscale strategies.
机译:简介:组织再生在大多数组织中自然发生,因为细胞通过诱导结构和组成变化来重塑和重建受损的组织,但未能在大缺陷中发生。细胞外基质(ECM)和生长因子(GFs)协同作用,介导对于再生至关重要的细胞过程,开发先进的复合生物材料需要全面的了解。随着实验空间的扩大,筛选的成本越来越高。为了确定促进组织特异性再生的最佳ECM和GF组合,我们采用了一种微型系统,可以快速有效地快速调查大型实验空间,并准确区分高度允许生长和抑制生长的3D复合支架。材料和方法:用于容纳水凝胶样品的垫片是从3D打印的模具中制成的,用于创建PDMS阵列。将原代大鼠神经元以1〜* 106个细胞/ mL的密度接种到层粘连蛋白(LN:0-1500μg/ mL)和纤连蛋白(FN:0-250μg/ mL)的组合文库中,并混合入Ⅰ型胶原蛋白凝胶中。选择Ⅰ型胶原(COL)作为底物是因为它构成了体内许多组织(包括周围神经组织)的基础。评估3D样品的代谢(Alamar Blue),然后固定并染色以进行βⅢ-微管蛋白和细胞核的染色。使用Thermo Scientific Cellomics AirayScan VT对样品成像,通过ImageJ和MATLAB执行图像处理和分析,并通过ANOVA和Tukey HSD执行统计分析。结果与讨论:将神经元包埋在10μL含LN和FN的1 mg / mL COL凝胶中,并培养3天。 1天后,Alamar蓝信号没有差异,表明所有样品组之间的播种相对均匀(未显示)。免疫染色后,采集Z堆栈并分析压缩图像的神经突生长。在所有样品中均观察到神经突生长,初步数据表明,几乎在所有包含LN和/或FN的样品中均观察到了仅含COL凝胶的明显神经突生长(图1)。除了更高级的特定于细胞的过程(例如迁移和髓鞘形成)(未显示)之外,该平台还可以应用其他细胞类型来快速定量代谢,细胞死亡和扩散的变化。此外,在同一生物材料筛选中研究神经元增生和神经胶质迁移的共培养筛选将提供对生物材料文库的“组织反应”。结论:该框架可以快速测定复合生物材料的大型实验空间,以鉴定最佳的细胞和组织特异性生物材料。最终,在下游动物和临床研究之前,可以使用相同的平台对新型协同ECM-GF组合的仿生合成替代物进行调节,这些组合可以促进细胞生长和再生。通过微筛查适当的细胞反应而开发的先进生物疗法将比使用传统的宏观疗法获得的生物疗法便宜和有效。

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